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version 1.224, 2016/07/01 13:16:01
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version 1.225, 2016/07/12 08:40:03
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| /* $Id$ |
/* $Id$ |
| $State$ |
$State$ |
| $Log$ |
$Log$ |
| |
Revision 1.225 2016/07/12 08:40:03 brouard |
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Summary: saving but not running |
| |
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| Revision 1.224 2016/07/01 13:16:01 brouard |
Revision 1.224 2016/07/01 13:16:01 brouard |
| Summary: Fixes |
Summary: Fixes |
| |
|
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Line 853 int nagesqr=0, nforce=0; /* nagesqr=1 if
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Line 856 int nagesqr=0, nforce=0; /* nagesqr=1 if
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| /* Number of covariates model=V2+V1+ V3*age+V2*V4 */ |
/* Number of covariates model=V2+V1+ V3*age+V2*V4 */ |
| int cptcovn=0; /**< cptcovn number of covariates added in the model (excepting constant and age and age*product) */ |
int cptcovn=0; /**< cptcovn number of covariates added in the model (excepting constant and age and age*product) */ |
| int cptcovt=0; /**< cptcovt number of covariates added in the model (excepting constant and age) */ |
int cptcovt=0; /**< cptcovt number of covariates added in the model (excepting constant and age) */ |
| int cptcovs=0; /**< cptcovs number of simple covariates V2+V1 =2 */ |
int cptcovs=0; /**< cptcovs number of simple covariates in the model V2+V1 =2 */ |
| |
int cptcovsnq=0; /**< cptcovsnq number of simple covariates in the model but non quantitative V2+V1 =2 */ |
| int cptcovage=0; /**< Number of covariates with age: V3*age only =1 */ |
int cptcovage=0; /**< Number of covariates with age: V3*age only =1 */ |
| int cptcovprodnoage=0; /**< Number of covariate products without age */ |
int cptcovprodnoage=0; /**< Number of covariate products without age */ |
| int cptcoveff=0; /* Total number of covariates to vary for printing results */ |
int cptcoveff=0; /* Total number of covariates to vary for printing results */ |
| int ncoveff=0; /* Total number of effective covariates in the model */ |
int ncoveff=0; /* Total number of effective covariates in the model */ |
| int nqveff=0; /**< nqveff number of effective quantitative variables */ |
int nqfveff=0; /**< nqfveff Number of Quantitative Fixed Variables Effective */ |
| int ntveff=0; /**< ntveff number of effective time varying variables */ |
int ntveff=0; /**< ntveff number of effective time varying variables */ |
| int nqtveff=0; /**< ntqveff number of effective time varying quantitative variables */ |
int nqtveff=0; /**< ntqveff number of effective time varying quantitative variables */ |
| int cptcov=0; /* Working variable */ |
int cptcov=0; /* Working variable */ |
|
Line 1006 double *agedc;
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Line 1010 double *agedc;
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| double **covar; /**< covar[j,i], value of jth covariate for individual i, |
double **covar; /**< covar[j,i], value of jth covariate for individual i, |
| * covar=matrix(0,NCOVMAX,1,n); |
* covar=matrix(0,NCOVMAX,1,n); |
| * cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*age; */ |
* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*age; */ |
| double **coqvar; /* Fixed quantitative covariate */ |
double **coqvar; /* Fixed quantitative covariate iqv */ |
| double ***cotvar; /* Time varying covariate */ |
double ***cotvar; /* Time varying covariate itv */ |
| double ***cotqvar; /* Time varying quantitative covariate */ |
double ***cotqvar; /* Time varying quantitative covariate itqv */ |
| double idx; |
double idx; |
| int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */ |
int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */ |
| |
int *Typevar; /**< 1 for qualitative fixed, 2 for quantitative fixed, 3 for qualitive varying, 4 for quanti varying*/ |
| int *Tage; |
int *Tage; |
| int *Ndum; /** Freq of modality (tricode */ |
int *Ndum; /** Freq of modality (tricode */ |
| /* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */ |
/* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */ |
|
Line 1876 function value at p , and iter is the nu
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Line 1881 function value at p , and iter is the nu
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| #ifdef LINMINORIGINAL |
#ifdef LINMINORIGINAL |
| #else |
#else |
| int *flatdir; /* Function is vanishing in that direction */ |
int *flatdir; /* Function is vanishing in that direction */ |
| int flat=0; /* Function is vanishing in that direction */ |
int flat=0, flatd=0; /* Function is vanishing in that direction */ |
| #endif |
#endif |
| void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret, |
void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret, |
| double (*func)(double [])) |
double (*func)(double [])) |
|
Line 1980 void powell(double p[], double **xi, int
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Line 1985 void powell(double p[], double **xi, int
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| fprintf(ficlog," x(%d)=%.12e",j,xit[j]); |
fprintf(ficlog," x(%d)=%.12e",j,xit[j]); |
| } |
} |
| for(j=1;j<=n;j++) { |
for(j=1;j<=n;j++) { |
| printf(" p(%d)=%lf ",j,p[j]); |
printf(" p(%d)=%.12e",j,p[j]); |
| fprintf(ficlog," p(%d)=%lf ",j,p[j]); |
fprintf(ficlog," p(%d)=%.12e",j,p[j]); |
| } |
} |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
|
Line 1991 void powell(double p[], double **xi, int
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Line 1996 void powell(double p[], double **xi, int
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| /* But p and xit have been updated at the end of linmin, *fret corresponds to new p, xit */ |
/* But p and xit have been updated at the end of linmin, *fret corresponds to new p, xit */ |
| /* New value of last point Pn is not computed, P(n-1) */ |
/* New value of last point Pn is not computed, P(n-1) */ |
| for(j=1;j<=n;j++) { |
for(j=1;j<=n;j++) { |
| printf(" p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); |
if(flatdir[j] >0){ |
| fprintf(ficlog," p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); |
printf(" p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); |
| } |
fprintf(ficlog," p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); |
| printf("\n"); |
} |
| fprintf(ficlog,"\n"); |
/* printf("\n"); */ |
| |
/* fprintf(ficlog,"\n"); */ |
| |
} |
| if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /* Did we reach enough precision? */ |
if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /* Did we reach enough precision? */ |
| /* We could compare with a chi^2. chisquare(0.95,ddl=1)=3.84 */ |
/* We could compare with a chi^2. chisquare(0.95,ddl=1)=3.84 */ |
| /* By adding age*age in a model, the new -2LL should be lower and the difference follows a */ |
/* By adding age*age in a model, the new -2LL should be lower and the difference follows a */ |
|
Line 2052 void powell(double p[], double **xi, int
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Line 2058 void powell(double p[], double **xi, int
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| fptt=(*func)(ptt); /* f_3 */ |
fptt=(*func)(ptt); /* f_3 */ |
| #ifdef NODIRECTIONCHANGEDUNTILNITER /* No change in drections until some iterations are done */ |
#ifdef NODIRECTIONCHANGEDUNTILNITER /* No change in drections until some iterations are done */ |
| if (*iter <=4) { |
if (*iter <=4) { |
| #else |
#else |
| |
#endif |
| #ifdef POWELLNOF3INFF1TEST /* skips test F3 <F1 */ |
#ifdef POWELLNOF3INFF1TEST /* skips test F3 <F1 */ |
| #else |
#else |
| if (fptt < fp) { /* If extrapolated point is better, decide if we keep that new direction or not */ |
if (fptt < fp) { /* If extrapolated point is better, decide if we keep that new direction or not */ |
|
Line 2134 void powell(double p[], double **xi, int
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Line 2141 void powell(double p[], double **xi, int
|
| } |
} |
| #ifdef LINMINORIGINAL |
#ifdef LINMINORIGINAL |
| #else |
#else |
| printf("Flat directions\n"); |
for (j=1, flatd=0;j<=n;j++) { |
| fprintf(ficlog,"Flat directions\n"); |
if(flatdir[j]>0) |
| for (j=1;j<=n;j++) { |
flatd++; |
| printf("flatdir[%d]=%d ",j,flatdir[j]); |
} |
| fprintf(ficlog,"flatdir[%d]=%d ",j,flatdir[j]); |
if(flatd >0){ |
| } |
printf("%d flat directions\n",flatd); |
| printf("\n"); |
fprintf(ficlog,"%d flat directions\n",flatd); |
| fprintf(ficlog,"\n"); |
for (j=1;j<=n;j++) { |
| |
if(flatdir[j]>0){ |
| |
printf("%d ",j); |
| |
fprintf(ficlog,"%d ",j); |
| |
} |
| |
} |
| |
printf("\n"); |
| |
fprintf(ficlog,"\n"); |
| |
} |
| #endif |
#endif |
| printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); |
printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); |
| fprintf(ficlog,"Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); |
fprintf(ficlog,"Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); |
|
Line 2161 void powell(double p[], double **xi, int
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Line 2176 void powell(double p[], double **xi, int
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| #else |
#else |
| } /* end if (fptt < fp) */ |
} /* end if (fptt < fp) */ |
| #endif |
#endif |
| |
#ifdef NODIRECTIONCHANGEDUNTILNITER /* No change in drections until some iterations are done */ |
| } /*NODIRECTIONCHANGEDUNTILNITER No change in drections until some iterations are done */ |
} /*NODIRECTIONCHANGEDUNTILNITER No change in drections until some iterations are done */ |
| |
#else |
| #endif |
#endif |
| } /* loop iteration */ |
} /* loop iteration */ |
| } |
} |
|
Line 2880 double func( double *x)
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Line 2897 double func( double *x)
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| double sw; /* Sum of weights */ |
double sw; /* Sum of weights */ |
| double lli; /* Individual log likelihood */ |
double lli; /* Individual log likelihood */ |
| int s1, s2; |
int s1, s2; |
| int iv=0, iqv=0, itv=0, iqtv=0 ; /* Index of varying covariate, fixed quantitative cov, time varying covariate */ |
int iv=0, iqv=0, itv=0, iqtv=0 ; /* Index of varying covariate, fixed quantitative cov, time varying covariate, quatitative time varying covariate */ |
| double bbh, survp; |
double bbh, survp; |
| long ipmx; |
long ipmx; |
| double agexact; |
double agexact; |
|
Line 2909 double func( double *x)
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Line 2926 double func( double *x)
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| for (k=1; k<=ncoveff;k++){ /* Simple and product covariates without age* products */ |
for (k=1; k<=ncoveff;k++){ /* Simple and product covariates without age* products */ |
| cov[++ioffset]=covar[Tvar[k]][i]; |
cov[++ioffset]=covar[Tvar[k]][i]; |
| } |
} |
| for(iqv=1; iqv <= nqveff; iqv++){ /* Quantitatives covariates */ |
for(iqv=1; iqv <= nqfveff; iqv++){ /* Quantitatives and Fixed covariates */ |
| cov[++ioffset]=coqvar[iqv][i]; |
cov[++ioffset]=coqvar[iqv][i]; |
| } |
} |
| |
|
|
Line 2930 double func( double *x)
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Line 2947 double func( double *x)
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| cov[ioffset+itv]=cotvar[mw[mi][i]][itv][i]; |
cov[ioffset+itv]=cotvar[mw[mi][i]][itv][i]; |
| } |
} |
| for(iqtv=1; iqtv <= nqtveff; iqtv++){ /* Varying quantitatives covariates */ |
for(iqtv=1; iqtv <= nqtveff; iqtv++){ /* Varying quantitatives covariates */ |
| |
if(cotqvar[mw[mi][i]][iqtv][i] == -1){ |
| |
printf("i=%d, mi=%d, iqtv=%d, cotqvar[mw[mi][i]][iqtv][i]=%f",i,mi,iqtv,cotqvar[mw[mi][i]][iqtv][i]); |
| |
} |
| cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][iqtv][i]; |
cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][iqtv][i]; |
| } |
} |
| /* ioffset=2+nagesqr+cptcovn+nqv+ntv+nqtv; */ |
/* ioffset=2+nagesqr+cptcovn+nqv+ntv+nqtv; */ |
|
Line 3226 double funcone( double *x)
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Line 3246 double funcone( double *x)
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| for(k=1; k<=nlstate; k++) ll[k]=0.; |
for(k=1; k<=nlstate; k++) ll[k]=0.; |
| ioffset=0; |
ioffset=0; |
| for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
| ioffset=2+nagesqr+cptcovage; |
ioffset=2+nagesqr+cptcovage; |
| /* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */ |
/* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */ |
| for (k=1; k<=ncoveff;k++){ /* Simple and product covariates without age* products */ |
for (k=1; k<=ncoveff;k++){ /* Simple and product covariates without age* products */ |
| cov[++ioffset]=covar[Tvar[k]][i]; |
cov[++ioffset]=covar[Tvar[k]][i]; |
| } |
} |
| for(iqv=1; iqv <= nqveff; iqv++){ /* Quantitatives covariates */ |
for(iqv=1; iqv <= nqfveff; iqv++){ /* Quantitatives Fixed covariates */ |
| cov[++ioffset]=coqvar[iqv][i]; |
cov[++ioffset]=coqvar[iqv][i]; |
| } |
} |
| |
|
| for(mi=1; mi<= wav[i]-1; mi++){ |
for(mi=1; mi<= wav[i]-1; mi++){ |
| for(itv=1; itv <= ntveff; itv++){ /* Varying dummy covariates */ |
for(itv=1; itv <= ntveff; itv++){ /* Varying dummy covariates */ |
| cov[ioffset+itv]=cotvar[mw[mi][i]][itv][i]; |
cov[ioffset+itv]=cotvar[mw[mi][i]][itv][i]; |
| } |
} |
| for(iqtv=1; iqtv <= nqtveff; iqtv++){ /* Varying quantitatives covariates */ |
for(iqtv=1; iqtv <= nqtveff; iqtv++){ /* Varying quantitatives covariates */ |
| cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][iqtv][i]; |
cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][iqtv][i]; |
| } |
} |
| for (ii=1;ii<=nlstate+ndeath;ii++) |
for (ii=1;ii<=nlstate+ndeath;ii++) |
| for (j=1;j<=nlstate+ndeath;j++){ |
for (j=1;j<=nlstate+ndeath;j++){ |
| 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); |
| } |
} |
| |
|
| agebegin=agev[mw[mi][i]][i]; /* Age at beginning of effective wave */ |
agebegin=agev[mw[mi][i]][i]; /* Age at beginning of effective wave */ |
| ageend=agev[mw[mi][i]][i] + (dh[mi][i])*stepm/YEARM; /* Age at end of effective wave and at the end of transition */ |
ageend=agev[mw[mi][i]][i] + (dh[mi][i])*stepm/YEARM; /* Age at end of effective wave and at the end of transition */ |
| for(d=0; d<dh[mi][i]; d++){ /* Delay between two effective waves */ |
for(d=0; d<dh[mi][i]; d++){ /* Delay between two effective waves */ |
| /*dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][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.*/ |
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; |
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
| for (kk=1; kk<=cptcovage;kk++) { |
for (kk=1; kk<=cptcovage;kk++) { |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
| } |
} |
| |
/* printf("i=%d,mi=%d,d=%d,mw[mi][i]=%d\n",i, mi,d,mw[mi][i]); */ |
| /* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ |
/* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ |
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
| /* out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, */ |
/* out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, */ |
| /* 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); */ |
/* 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); */ |
| savm=oldm; |
savm=oldm; |
| oldm=newm; |
oldm=newm; |
| } /* end mult */ |
} /* end mult */ |
| |
|
| s1=s[mw[mi][i]][i]; |
s1=s[mw[mi][i]][i]; |
|
Line 3282 double funcone( double *x)
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Line 3302 double funcone( double *x)
|
| * is higher than the multiple of stepm and negative otherwise. |
* is higher than the multiple of stepm and negative otherwise. |
| */ |
*/ |
| if( s2 > nlstate && (mle <5) ){ /* Jackson */ |
if( s2 > nlstate && (mle <5) ){ /* Jackson */ |
| lli=log(out[s1][s2] - savm[s1][s2]); |
lli=log(out[s1][s2] - savm[s1][s2]); |
| } else if ( s2==-1 ) { /* alive */ |
} else if ( s2==-1 ) { /* alive */ |
| for (j=1,survp=0. ; j<=nlstate; j++) |
for (j=1,survp=0. ; j<=nlstate; j++) |
| survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; |
survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; |
| lli= log(survp); |
lli= log(survp); |
| }else if (mle==1){ |
}else if (mle==1){ |
| lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
| } else if(mle==2){ |
} else if(mle==2){ |
| lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* linear interpolation */ |
lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* linear interpolation */ |
| } else if(mle==3){ /* exponential inter-extrapolation */ |
} else if(mle==3){ /* exponential inter-extrapolation */ |
| lli= (savm[s1][s2]>(double)1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */ |
lli= (savm[s1][s2]>(double)1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */ |
| } else if (mle==4){ /* mle=4 no inter-extrapolation */ |
} else if (mle==4){ /* mle=4 no inter-extrapolation */ |
| lli=log(out[s1][s2]); /* Original formula */ |
lli=log(out[s1][s2]); /* Original formula */ |
| } else{ /* mle=0 back to 1 */ |
} else{ /* mle=0 back to 1 */ |
| lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
| /*lli=log(out[s1][s2]); */ /* Original formula */ |
/*lli=log(out[s1][s2]); */ /* Original formula */ |
| } /* End of if */ |
} /* End of if */ |
| ipmx +=1; |
ipmx +=1; |
| sw += weight[i]; |
sw += weight[i]; |
| 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 %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ |
fprintf(ficresilk,"%9ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ |
| %11.6f %11.6f %11.6f ", \ |
%11.6f %11.6f %11.6f ", \ |
| num[i], agebegin, ageend, 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; |
| fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw); |
fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw); |
| } |
} |
| fprintf(ficresilk," %10.6f\n", -llt); |
fprintf(ficresilk," %10.6f\n", -llt); |
| } |
} |
| } /* end of wave */ |
} /* end of wave */ |
| } /* end of individual */ |
} /* end of individual */ |
|
Line 3841 void pstamp(FILE *fichier)
|
Line 3861 void pstamp(FILE *fichier)
|
| posprop=vector(1,nlstate); /* Counting the number of transition starting from a live state per age */ |
posprop=vector(1,nlstate); /* Counting the number of transition starting from a live state per age */ |
| pospropt=vector(1,nlstate); /* Counting the number of transition starting from a live state */ |
pospropt=vector(1,nlstate); /* Counting the number of transition starting from a live state */ |
| /* prop=matrix(1,nlstate,iagemin,iagemax+3); */ |
/* prop=matrix(1,nlstate,iagemin,iagemax+3); */ |
| meanq=vector(1,nqveff); |
meanq=vector(1,nqfveff); /* Number of Quantitative Fixed Variables Effective */ |
| meanqt=matrix(1,lastpass,1,nqtveff); |
meanqt=matrix(1,lastpass,1,nqtveff); |
| strcpy(fileresp,"P_"); |
strcpy(fileresp,"P_"); |
| strcat(fileresp,fileresu); |
strcat(fileresp,fileresu); |
|
Line 3912 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 3932 Title=%s <br>Datafile=%s Firstpass=%d La
|
| posprop[i]=0; |
posprop[i]=0; |
| pospropt[i]=0; |
pospropt[i]=0; |
| } |
} |
| for (z1=1; z1<= nqveff; z1++) { |
for (z1=1; z1<= nqfveff; z1++) { |
| meanq[z1]+=0.; |
meanq[z1]+=0.; |
| for(m=1;m<=lastpass;m++){ |
for(m=1;m<=lastpass;m++){ |
| meanqt[m][z1]=0.; |
meanqt[m][z1]=0.; |
|
Line 3924 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 3944 Title=%s <br>Datafile=%s Firstpass=%d La
|
| /* For that comination of covariate j1, we count and print the frequencies */ |
/* For that comination of covariate j1, we count and print the frequencies */ |
| for (iind=1; iind<=imx; iind++) { /* For each individual iind */ |
for (iind=1; iind<=imx; iind++) { /* For each individual iind */ |
| bool=1; |
bool=1; |
| if (nqveff >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
if (nqfveff >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
| for (z1=1; z1<= nqveff; z1++) { |
for (z1=1; z1<= nqfveff; z1++) { |
| meanq[z1]+=coqvar[Tvar[z1]][iind]; |
meanq[z1]+=coqvar[Tvar[z1]][iind]; |
| } |
} |
| for (z1=1; z1<=ncoveff; z1++) { |
for (z1=1; z1<=ncoveff; z1++) { |
|
Line 4149 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 4169 Title=%s <br>Datafile=%s Firstpass=%d La
|
| fclose(ficresp); |
fclose(ficresp); |
| fclose(ficresphtm); |
fclose(ficresphtm); |
| fclose(ficresphtmfr); |
fclose(ficresphtmfr); |
| free_vector(meanq,1,nqveff); |
free_vector(meanq,1,nqfveff); |
| free_matrix(meanqt,1,lastpass,1,nqtveff); |
free_matrix(meanqt,1,lastpass,1,nqtveff); |
| free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin-AGEMARGE, iagemax+3+AGEMARGE); |
free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin-AGEMARGE, iagemax+3+AGEMARGE); |
| free_vector(pospropt,1,nlstate); |
free_vector(pospropt,1,nlstate); |
|
Line 4189 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 4209 Title=%s <br>Datafile=%s Firstpass=%d La
|
| if (cptcovn<1) {j=1;ncodemax[1]=1;} |
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
| |
|
| first=1; |
first=1; |
| for(j1=1; j1<= (int) pow(2,nqveff);j1++){ /* For each combination of covariate */ |
for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ /* For each combination of covariate */ |
| for (i=1; i<=nlstate; i++) |
for (i=1; i<=nlstate; i++) |
| for(iage=iagemin-AGEMARGE; iage <= iagemax+3+AGEMARGE; iage++) |
for(iage=iagemin-AGEMARGE; iage <= iagemax+3+AGEMARGE; iage++) |
| prop[i][iage]=0.0; |
prop[i][iage]=0.0; |
|
Line 4197 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 4217 Title=%s <br>Datafile=%s Firstpass=%d La
|
| for (i=1; i<=imx; i++) { /* Each individual */ |
for (i=1; i<=imx; i++) { /* Each individual */ |
| 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<=nqveff; z1++) /* For each covariate, look at the value for individual i and checks if it is equal to the corresponding value of this covariate according to current combination j1*/ |
for (z1=1; z1<=cptcoveff; z1++) /* For each covariate, look at the value for individual i and checks if it is equal to the corresponding value of this covariate according to current combination j1*/ |
| if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) |
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) |
| bool=0; |
bool=0; |
| } |
} |
|
Line 4491 void concatwav(int wav[], int **dh, int
|
Line 4511 void concatwav(int wav[], int **dh, int
|
| |
|
| /* Loop on covariates without age and products and no quantitative variable */ |
/* Loop on covariates without age and products and no quantitative variable */ |
| /* for (j=1; j<=(cptcovs); j++) { /\* From model V1 + V2*age+ V3 + V3*V4 keeps V1 + V3 = 2 only *\/ */ |
/* for (j=1; j<=(cptcovs); j++) { /\* From model V1 + V2*age+ V3 + V3*V4 keeps V1 + V3 = 2 only *\/ */ |
| for (j=1; j<=(*cptcov); j++) { /* From model V1 + V2*age + V3 + V3*V4 keeps V1 + V3 = 2 only */ |
for (j=1; j<=cptcovsnq; j++) { /* From model V1 + V2*age + V3 + V3*V4 keeps V1 + V3 = 2 only */ |
| for (k=-1; k < maxncov; k++) Ndum[k]=0; |
for (k=-1; k < maxncov; k++) Ndum[k]=0; |
| for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the |
for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the |
| modality of this covariate Vj*/ |
modality of this covariate Vj*/ |
| if(Tvar[j] >=1 && Tvar[j] <= *cptcov){ /* A real fixed covariate */ |
switch(Typevar[j]) { |
| ij=(int)(covar[Tvar[j]][i]); /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i |
case 1: /* A real fixed dummy covariate */ |
| * If product of Vn*Vm, still boolean *: |
ij=(int)(covar[Tvar[j]][i]); /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i |
| * If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables |
* If product of Vn*Vm, still boolean *: |
| * 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0 */ |
* If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables |
| /* Finds for covariate j, n=Tvar[j] of Vn . ij is the |
* 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0 */ |
| modality of the nth covariate of individual i. */ |
/* Finds for covariate j, n=Tvar[j] of Vn . ij is the |
| if (ij > modmaxcovj) |
modality of the nth covariate of individual i. */ |
| modmaxcovj=ij; |
if (ij > modmaxcovj) |
| else if (ij < modmincovj) |
modmaxcovj=ij; |
| modmincovj=ij; |
else if (ij < modmincovj) |
| if ((ij < -1) && (ij > NCOVMAX)){ |
modmincovj=ij; |
| printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); |
if ((ij < -1) && (ij > NCOVMAX)){ |
| exit(1); |
printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); |
| }else |
exit(1); |
| Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/ |
}else |
| /* If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */ |
Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/ |
| /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/ |
/* If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */ |
| /* getting the maximum value of the modality of the covariate |
/*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/ |
| (should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and |
/* getting the maximum value of the modality of the covariate |
| female ies 1, then modmaxcovj=1.*/ |
(should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and |
| } |
female ies 1, then modmaxcovj=1.*/ |
| } /* end for loop on individuals i */ |
break; |
| |
case 2: |
| |
break; |
| |
|
| |
} |
| |
} /* end for loop on individuals i */ |
| printf(" Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], modmincovj, modmaxcovj); |
printf(" Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], modmincovj, modmaxcovj); |
| fprintf(ficlog," Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], modmincovj, modmaxcovj); |
fprintf(ficlog," Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], modmincovj, modmaxcovj); |
| cptcode=modmaxcovj; |
cptcode=modmaxcovj; |
| /* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */ |
/* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */ |
| /*for (i=0; i<=cptcode; i++) {*/ |
/*for (i=0; i<=cptcode; i++) {*/ |
| for (k=modmincovj; k<=modmaxcovj; k++) { /* k=-1 ? 0 and 1*//* For each value k of the modality of model-cov j */ |
for (k=modmincovj; k<=modmaxcovj; k++) { /* k=-1 ? 0 and 1*//* For each value k of the modality of model-cov j */ |
| printf("Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]); |
printf("Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]); |
| fprintf(ficlog, "Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]); |
fprintf(ficlog, "Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]); |
| if( Ndum[k] != 0 ){ /* Counts if nobody answered modality k ie empty modality, we skip it and reorder */ |
if( Ndum[k] != 0 ){ /* Counts if nobody answered modality k ie empty modality, we skip it and reorder */ |
| if( k != -1){ |
if( k != -1){ |
| ncodemax[j]++; /* ncodemax[j]= Number of modalities of the j th |
ncodemax[j]++; /* ncodemax[j]= Number of modalities of the j th |
| covariate for which somebody answered excluding |
covariate for which somebody answered excluding |
| undefined. Usually 2: 0 and 1. */ |
undefined. Usually 2: 0 and 1. */ |
| } |
} |
| ncodemaxwundef[j]++; /* ncodemax[j]= Number of modalities of the j th |
ncodemaxwundef[j]++; /* ncodemax[j]= Number of modalities of the j th |
| covariate for which somebody answered including |
covariate for which somebody answered including |
| undefined. Usually 3: -1, 0 and 1. */ |
undefined. Usually 3: -1, 0 and 1. */ |
| } |
} |
| /* In fact ncodemax[j]=2 (dichotom. variables only) but it could be more for |
/* In fact ncodemax[j]=2 (dichotom. variables only) but it could be more for |
| * historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */ |
* historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */ |
| } /* Ndum[-1] number of undefined modalities */ |
} /* Ndum[-1] number of undefined modalities */ |
| |
|
| /* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */ |
/* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */ |
| /* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7. |
/* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7. |
| If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125; |
If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125; |
|
Line 4555 void concatwav(int wav[], int **dh, int
|
Line 4580 void concatwav(int wav[], int **dh, int
|
| */ |
*/ |
| ij=0; /* ij is similar to i but can jump over null modalities */ |
ij=0; /* ij is similar to i but can jump over null modalities */ |
| for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/ |
for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/ |
| if (Ndum[i] == 0) { /* If nobody responded to this modality k */ |
if (Ndum[i] == 0) { /* If nobody responded to this modality k */ |
| break; |
break; |
| } |
} |
| ij++; |
ij++; |
| nbcode[Tvar[j]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality.*/ |
nbcode[Tvar[j]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality.*/ |
| cptcode = ij; /* New max modality for covar j */ |
cptcode = ij; /* New max modality for covar j */ |
| } /* end of loop on modality i=-1 to 1 or more */ |
} /* end of loop on modality i=-1 to 1 or more */ |
| |
|
| /* for (k=0; k<= cptcode; k++) { /\* k=-1 ? k=0 to 1 *\//\* Could be 1 to 4 *\//\* cptcode=modmaxcovj *\/ */ |
/* for (k=0; k<= cptcode; k++) { /\* k=-1 ? k=0 to 1 *\//\* Could be 1 to 4 *\//\* cptcode=modmaxcovj *\/ */ |
| /* /\*recode from 0 *\/ */ |
/* /\*recode from 0 *\/ */ |
| /* k is a modality. If we have model=V1+V1*sex */ |
/* k is a modality. If we have model=V1+V1*sex */ |
|
Line 4578 void concatwav(int wav[], int **dh, int
|
Line 4603 void concatwav(int wav[], int **dh, int
|
| /* } /\* end of loop on modality k *\/ */ |
/* } /\* end of loop on modality k *\/ */ |
| } /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/ |
} /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/ |
| |
|
| for (k=-1; k< maxncov; k++) Ndum[k]=0; |
for (k=-1; k< maxncov; k++) Ndum[k]=0; |
| |
|
| for (i=1; i<=ncovmodel-2-nagesqr; i++) { /* -2, cste and age and eventually age*age */ |
for (i=1; i<=ncovmodel-2-nagesqr; i++) { /* -2, cste and age and eventually age*age */ |
| /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/ |
/* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/ |
| ij=Tvar[i]; /* Tvar might be -1 if status was unknown */ |
ij=Tvar[i]; /* Tvar might be -1 if status was unknown */ |
| Ndum[ij]++; /* Might be supersed V1 + V1*age */ |
Ndum[ij]++; /* Might be supersed V1 + V1*age */ |
| } /* V4+V3+V5, Ndum[1]@5={0, 0, 1, 1, 1} */ |
} /* V4+V3+V5, Ndum[1]@5={0, 0, 1, 1, 1} */ |
| |
|
| ij=0; |
ij=0; |
| for (i=0; i<= maxncov-1; i++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ |
for (i=0; i<= maxncov-1; i++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ |
| /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ |
/*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ |
| if((Ndum[i]!=0) && (i<=ncovcol)){ |
if((Ndum[i]!=0) && (i<=ncovcol)){ |
| /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ |
/*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ |
| Tvaraff[++ij]=i; /*For printing (unclear) */ |
Tvaraff[++ij]=i; /*For printing (unclear) */ |
| }else if((Ndum[i]!=0) && (i<=ncovcol+nqv)){ |
}else if((Ndum[i]!=0) && (i<=ncovcol+nqv)){ |
| Tvaraff[++ij]=-10; /* Dont'n know how to treat quantitative variables yet */ |
Tvaraff[++ij]=-10; /* Dont'n know how to treat quantitative variables yet */ |
| }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv)){ |
}else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv)){ |
| Tvaraff[++ij]=i; /*For printing (unclear) */ |
Tvaraff[++ij]=i; /*For printing (unclear) */ |
| }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv+nqtv)){ |
}else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv+nqtv)){ |
| Tvaraff[++ij]=-20; /* Dont'n know how to treat quantitative variables yet */ |
Tvaraff[++ij]=-20; /* Dont'n know how to treat quantitative variables yet */ |
| } |
} |
| } /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */ |
} /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */ |
| /* ij--; */ |
/* ij--; */ |
| /* cptcoveff=ij; /\*Number of total covariates*\/ */ |
/* cptcoveff=ij; /\*Number of total covariates*\/ */ |
| *cptcov=ij; /*Number of total real effective covariates: effective |
*cptcov=ij; /*Number of total real effective covariates: effective |
| * because they can be excluded from the model and real |
* because they can be excluded from the model and real |
| * if in the model but excluded because missing values*/ |
* if in the model but excluded because missing values*/ |
| } |
} |
| |
|
| |
|
|
Line 5452 To be simple, these graphs help to under
|
Line 5477 To be simple, these graphs help to under
|
| |
|
| cov[1]=1; |
cov[1]=1; |
| /* tj=cptcoveff; */ |
/* tj=cptcoveff; */ |
| tj = (int) pow(2,nqveff); |
tj = (int) pow(2,cptcoveff); |
| if (cptcovn<1) {tj=1;ncodemax[1]=1;} |
if (cptcovn<1) {tj=1;ncodemax[1]=1;} |
| j1=0; |
j1=0; |
| for(j1=1; j1<=tj;j1++){ /* For each valid combination of covariates or only once*/ |
for(j1=1; j1<=tj;j1++){ /* For each valid combination of covariates or only once*/ |
| if (cptcovn>0) { |
if (cptcovn>0) { |
| fprintf(ficresprob, "\n#********** Variable "); |
fprintf(ficresprob, "\n#********** Variable "); |
| for (z1=1; z1<=nqveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficresprob, "**********\n#\n"); |
fprintf(ficresprob, "**********\n#\n"); |
| fprintf(ficresprobcov, "\n#********** Variable "); |
fprintf(ficresprobcov, "\n#********** Variable "); |
| for (z1=1; z1<=nqveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficresprobcov, "**********\n#\n"); |
fprintf(ficresprobcov, "**********\n#\n"); |
| |
|
| fprintf(ficgp, "\n#********** Variable "); |
fprintf(ficgp, "\n#********** Variable "); |
| for (z1=1; z1<=nqveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficgp, "**********\n#\n"); |
fprintf(ficgp, "**********\n#\n"); |
| |
|
| |
|
| fprintf(fichtmcov, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable "); |
fprintf(fichtmcov, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable "); |
| for (z1=1; z1<=nqveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">"); |
fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">"); |
| |
|
| fprintf(ficresprobcor, "\n#********** Variable "); |
fprintf(ficresprobcor, "\n#********** Variable "); |
| for (z1=1; z1<=nqveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficresprobcor, "**********\n#"); |
fprintf(ficresprobcor, "**********\n#"); |
| if(invalidvarcomb[j1]){ |
if(invalidvarcomb[j1]){ |
| fprintf(ficgp,"\n#Combination (%d) ignored because no cases \n",j1); |
fprintf(ficgp,"\n#Combination (%d) ignored because no cases \n",j1); |
|
Line 5740 void printinghtml(char fileresu[], char
|
Line 5765 void printinghtml(char fileresu[], char
|
| |
|
| fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>"); |
fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>"); |
| |
|
| m=pow(2,nqveff); |
m=pow(2,cptcoveff); |
| if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
| |
|
| jj1=0; |
jj1=0; |
|
Line 5750 void printinghtml(char fileresu[], char
|
Line 5775 void printinghtml(char fileresu[], char
|
| jj1++; |
jj1++; |
| if (cptcovn > 0) { |
if (cptcovn > 0) { |
| fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
| for (cpt=1; cpt<=nqveff;cpt++){ |
for (cpt=1; cpt<=cptcoveff;cpt++){ |
| fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); |
fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); |
| printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); |
printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); |
| } |
} |
|
Line 5860 See page 'Matrix of variance-covariance
|
Line 5885 See page 'Matrix of variance-covariance
|
| fflush(fichtm); |
fflush(fichtm); |
| fprintf(fichtm," <ul><li><b>Graphs</b></li><p>"); |
fprintf(fichtm," <ul><li><b>Graphs</b></li><p>"); |
| |
|
| m=pow(2,nqveff); |
m=pow(2,cptcoveff); |
| if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
| |
|
| jj1=0; |
jj1=0; |
|
Line 5869 See page 'Matrix of variance-covariance
|
Line 5894 See page 'Matrix of variance-covariance
|
| jj1++; |
jj1++; |
| if (cptcovn > 0) { |
if (cptcovn > 0) { |
| fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
| for (cpt=1; cpt<=nqveff;cpt++) |
for (cpt=1; cpt<=cptcoveff;cpt++) /**< cptcoveff number of variables */ |
| fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); |
fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); |
| fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
| |
|
|
Line 5914 void printinggnuplot(char fileresu[], ch
|
Line 5939 void printinggnuplot(char fileresu[], ch
|
| /*#ifdef windows */ |
/*#ifdef windows */ |
| fprintf(ficgp,"cd \"%s\" \n",pathc); |
fprintf(ficgp,"cd \"%s\" \n",pathc); |
| /*#endif */ |
/*#endif */ |
| m=pow(2,nqveff); |
m=pow(2,cptcoveff); |
| |
|
| /* Contribution to likelihood */ |
/* Contribution to likelihood */ |
| /* Plot the probability implied in the likelihood */ |
/* Plot the probability implied in the likelihood */ |
|
Line 5952 void printinggnuplot(char fileresu[], ch
|
Line 5977 void printinggnuplot(char fileresu[], ch
|
| for (k1=1; k1<= m ; k1 ++) { /* For each valid combination of covariate */ |
for (k1=1; k1<= m ; k1 ++) { /* For each valid combination of covariate */ |
| /* 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 "); |
fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files "); |
| for (k=1; k<=nqveff; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the value of the covariate corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the value of the covariate corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* 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(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 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 5992 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6017 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
| if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */ |
if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */ |
| /* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */ |
/* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */ |
| fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1 */ |
fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1 */ |
| if(nqveff ==0){ |
if(cptcoveff ==0){ |
| fprintf(ficgp,"$%d)) t 'Backward prevalence in state %d' with line ", 2+(cpt-1), cpt ); |
fprintf(ficgp,"$%d)) t 'Backward prevalence in state %d' with line ", 2+(cpt-1), cpt ); |
| }else{ |
}else{ |
| kl=0; |
kl=0; |
| for (k=1; k<=nqveff; k++){ /* For each combination of covariate */ |
for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate value corresponding to k1 combination and kth 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(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(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 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 6007 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6032 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
| /*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ |
/*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 */ |
/*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*/ |
/* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/ |
| if(k==nqveff){ |
if(k==cptcoveff){ |
| fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' with line ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ |
fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' with line ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ |
| 6+(cpt-1), cpt ); |
6+(cpt-1), cpt ); |
| }else{ |
}else{ |
|
Line 6024 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6049 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
| for (k1=1; k1<= m ; k1 ++) { |
for (k1=1; k1<= m ; k1 ++) { |
| |
|
| fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); |
fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); |
| for (k=1; k<=nqveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate number corresponding to k1 combination */ |
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(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(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 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 6077 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6102 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
| |
|
| 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); |
fprintf(ficgp,"\n# 3d: Life expectancy with EXP_ files: cov=%d state=%d",k1, cpt); |
| for (k=1; k<=nqveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate number corresponding to k1 combination */ |
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(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(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 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 6119 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6144 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
| |
|
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
| 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<=nqveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate number corresponding to k1 combination */ |
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(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(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 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 6161 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6186 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ |
| |
|
| 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<=nqveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate number corresponding to k1 combination */ |
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(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(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 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 6211 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6236 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
| |
|
| 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, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=nqveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate number corresponding to k1 combination */ |
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(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(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 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 6253 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6278 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
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 */ |
| fprintf(ficgp,"\n#\n#\n#CV Back preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#CV Back preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=nqveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate number corresponding to k1 combination */ |
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(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(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 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 6300 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6325 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
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 */ |
| fprintf(ficgp,"\n#\n#\n#Projection of prevalence to stable (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#Projection of prevalence to stable (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=nqveff; k++){ /* For each correspondig covariate value */ |
for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate value corresponding to k1 combination and kth 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(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(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 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 6330 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6355 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| }else{ |
}else{ |
| fprintf(ficgp,",\\\n '' "); |
fprintf(ficgp,",\\\n '' "); |
| } |
} |
| if(nqveff ==0){ /* No covariate */ |
if(cptcoveff ==0){ /* No covariate */ |
| ioffset=2; /* Age is in 2 */ |
ioffset=2; /* Age is in 2 */ |
| /*# yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/ |
/*# 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 */ |
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */ |
|
Line 6344 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6369 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| fprintf(ficgp," $%d/(1.-$%d)) t 'p%d%d' with line ", \ |
fprintf(ficgp," $%d/(1.-$%d)) t 'p%d%d' with line ", \ |
| ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,i,cpt ); |
ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,i,cpt ); |
| }else{ /* more than 2 covariates */ |
}else{ /* more than 2 covariates */ |
| if(nqveff ==1){ |
if(cptcoveff ==1){ |
| ioffset=4; /* Age is in 4 */ |
ioffset=4; /* Age is in 4 */ |
| }else{ |
}else{ |
| ioffset=6; /* Age is in 6 */ |
ioffset=6; /* Age is in 6 */ |
|
Line 6354 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6379 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| fprintf(ficgp," u %d:(",ioffset); |
fprintf(ficgp," u %d:(",ioffset); |
| kl=0; |
kl=0; |
| strcpy(gplotcondition,"("); |
strcpy(gplotcondition,"("); |
| for (k=1; k<=nqveff; k++){ /* For each covariate writing the chain of conditions */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate writing the chain of conditions */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate value corresponding to combination k1 and covariate k */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to combination k1 and covariate k */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(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 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 6363 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6388 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| kl++; |
kl++; |
| sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); |
sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); |
| kl++; |
kl++; |
| if(k <nqveff && nqveff>1) |
if(k <cptcoveff && cptcoveff>1) |
| sprintf(gplotcondition+strlen(gplotcondition)," && "); |
sprintf(gplotcondition+strlen(gplotcondition)," && "); |
| } |
} |
| strcpy(gplotcondition+strlen(gplotcondition),")"); |
strcpy(gplotcondition+strlen(gplotcondition),")"); |
|
Line 6420 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6445 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| fprintf(ficgp,"#\n"); |
fprintf(ficgp,"#\n"); |
| for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/ |
for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/ |
| fprintf(ficgp,"# ng=%d\n",ng); |
fprintf(ficgp,"# ng=%d\n",ng); |
| fprintf(ficgp,"# jk=1 to 2^%d=%d\n",nqveff,m); |
fprintf(ficgp,"# jk=1 to 2^%d=%d\n",cptcoveff,m); |
| for(jk=1; jk <=m; jk++) { |
for(jk=1; jk <=m; jk++) { |
| fprintf(ficgp,"# jk=%d\n",jk); |
fprintf(ficgp,"# jk=%d\n",jk); |
| fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),jk,ng); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),jk,ng); |
|
Line 6473 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6498 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| } |
} |
| } |
} |
| else |
else |
| fprintf(ficgp,"+p%d*%d",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); |
fprintf(ficgp,"+p%d*%d",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); /* Valgrind bug nbcode */ |
| } |
} |
| }else{ |
}else{ |
| i=i-ncovmodel; |
i=i-ncovmodel; |
|
Line 6500 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6525 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| } |
} |
| } |
} |
| else |
else |
| fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); |
fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);/* Valgrind bug nbcode */ |
| } |
} |
| fprintf(ficgp,")"); |
fprintf(ficgp,")"); |
| } |
} |
|
Line 6543 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6568 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| double *agemingood, *agemaxgood; /* Currently identical for all covariates */ |
double *agemingood, *agemaxgood; /* Currently identical for all covariates */ |
| |
|
| |
|
| /* modcovmax=2*nqveff;/\* Max number of modalities. We suppose */ |
/* modcovmax=2*cptcoveff;/\* Max number of modalities. We suppose */ |
| /* a covariate has 2 modalities, should be equal to ncovcombmax *\/ */ |
/* a covariate has 2 modalities, should be equal to ncovcombmax *\/ */ |
| |
|
| sumnewp = vector(1,ncovcombmax); |
sumnewp = vector(1,ncovcombmax); |
|
Line 6684 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6709 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| |
|
| |
|
| /************** Forecasting ******************/ |
/************** Forecasting ******************/ |
| void prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int nqveff){ |
void prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){ |
| /* proj1, year, month, day of starting projection |
/* proj1, year, month, day of starting projection |
| agemin, agemax range of age |
agemin, agemax range of age |
| dateprev1 dateprev2 range of dates during which prevalence is computed |
dateprev1 dateprev2 range of dates during which prevalence is computed |
|
Line 6715 void prevforecast(char fileres[], double
|
Line 6740 void prevforecast(char fileres[], double
|
| printf("Computing forecasting: result on file '%s', please wait... \n", fileresf); |
printf("Computing forecasting: result on file '%s', please wait... \n", fileresf); |
| fprintf(ficlog,"Computing forecasting: result on file '%s', please wait... \n", fileresf); |
fprintf(ficlog,"Computing forecasting: result on file '%s', please wait... \n", fileresf); |
| |
|
| if (nqveff==0) ncodemax[nqveff]=1; |
if (cptcoveff==0) ncodemax[cptcoveff]=1; |
| |
|
| |
|
| stepsize=(int) (stepm+YEARM-1)/YEARM; |
stepsize=(int) (stepm+YEARM-1)/YEARM; |
|
Line 6736 void prevforecast(char fileres[], double
|
Line 6761 void prevforecast(char fileres[], double
|
| if(jprojmean==0) jprojmean=1; |
if(jprojmean==0) jprojmean=1; |
| if(mprojmean==0) jprojmean=1; |
if(mprojmean==0) jprojmean=1; |
| |
|
| i1=nqveff; |
i1=cptcoveff; |
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| fprintf(ficresf,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); |
fprintf(ficresf,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); |
|
Line 6745 void prevforecast(char fileres[], double
|
Line 6770 void prevforecast(char fileres[], double
|
| |
|
| /* if (h==(int)(YEARM*yearp)){ */ |
/* if (h==(int)(YEARM*yearp)){ */ |
| for(cptcov=1, k=0;cptcov<=i1;cptcov++){ |
for(cptcov=1, k=0;cptcov<=i1;cptcov++){ |
| for(cptcod=1;cptcod<=ncodemax[nqveff];cptcod++){ |
for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){ |
| k=k+1; |
k=k+1; |
| fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#"); |
fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#"); |
| for(j=1;j<=nqveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| } |
} |
| fprintf(ficresf," yearproj age"); |
fprintf(ficresf," yearproj age"); |
|
Line 6770 void prevforecast(char fileres[], double
|
Line 6795 void prevforecast(char fileres[], double
|
| for (h=0; h<=nhstepm; h++){ |
for (h=0; h<=nhstepm; h++){ |
| if (h*hstepm/YEARM*stepm ==yearp) { |
if (h*hstepm/YEARM*stepm ==yearp) { |
| fprintf(ficresf,"\n"); |
fprintf(ficresf,"\n"); |
| for(j=1;j<=nqveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm); |
fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm); |
| } |
} |
|
Line 6804 void prevforecast(char fileres[], double
|
Line 6829 void prevforecast(char fileres[], double
|
| } |
} |
| |
|
| /* /\************** Back Forecasting ******************\/ */ |
/* /\************** Back Forecasting ******************\/ */ |
| /* void prevbackforecast(char fileres[], double anback1, double mback1, double jback1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anback2, double p[], int nqveff){ */ |
/* void prevbackforecast(char fileres[], double anback1, double mback1, double jback1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anback2, double p[], int cptcoveff){ */ |
| /* /\* back1, year, month, day of starting backection */ |
/* /\* back1, year, month, day of starting backection */ |
| /* agemin, agemax range of age */ |
/* agemin, agemax range of age */ |
| /* dateprev1 dateprev2 range of dates during which prevalence is computed */ |
/* dateprev1 dateprev2 range of dates during which prevalence is computed */ |
|
Line 6836 void prevforecast(char fileres[], double
|
Line 6861 void prevforecast(char fileres[], double
|
| /* printf("Computing back forecasting: result on file '%s', please wait... \n", fileresfb); */ |
/* printf("Computing back forecasting: result on file '%s', please wait... \n", fileresfb); */ |
| /* fprintf(ficlog,"Computing back forecasting: result on file '%s', please wait... \n", fileresfb); */ |
/* fprintf(ficlog,"Computing back forecasting: result on file '%s', please wait... \n", fileresfb); */ |
| |
|
| /* if (nqveff==0) ncodemax[nqveff]=1; */ |
/* if (cptcoveff==0) ncodemax[cptcoveff]=1; */ |
| |
|
| /* /\* if (mobilav!=0) { *\/ */ |
/* /\* if (mobilav!=0) { *\/ */ |
| /* /\* mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); *\/ */ |
/* /\* mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); *\/ */ |
|
Line 6864 void prevforecast(char fileres[], double
|
Line 6889 void prevforecast(char fileres[], double
|
| /* if(jprojmean==0) jprojmean=1; */ |
/* if(jprojmean==0) jprojmean=1; */ |
| /* if(mprojmean==0) jprojmean=1; */ |
/* if(mprojmean==0) jprojmean=1; */ |
| |
|
| /* i1=nqveff; */ |
/* i1=cptcoveff; */ |
| /* if (cptcovn < 1){i1=1;} */ |
/* if (cptcovn < 1){i1=1;} */ |
| |
|
| /* fprintf(ficresfb,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); */ |
/* fprintf(ficresfb,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); */ |
|
Line 6873 void prevforecast(char fileres[], double
|
Line 6898 void prevforecast(char fileres[], double
|
| |
|
| /* /\* if (h==(int)(YEARM*yearp)){ *\/ */ |
/* /\* if (h==(int)(YEARM*yearp)){ *\/ */ |
| /* for(cptcov=1, k=0;cptcov<=i1;cptcov++){ */ |
/* for(cptcov=1, k=0;cptcov<=i1;cptcov++){ */ |
| /* for(cptcod=1;cptcod<=ncodemax[nqveff];cptcod++){ */ |
/* for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){ */ |
| /* k=k+1; */ |
/* k=k+1; */ |
| /* fprintf(ficresfb,"\n#****** hbijx=probability over h years, hp.jx is weighted by observed prev \n#"); */ |
/* fprintf(ficresfb,"\n#****** hbijx=probability over h years, hp.jx is weighted by observed prev \n#"); */ |
| /* for(j=1;j<=nqveff;j++) { */ |
/* for(j=1;j<=cptcoveff;j++) { */ |
| /* fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ |
/* fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ |
| /* } */ |
/* } */ |
| /* fprintf(ficresfb," yearbproj age"); */ |
/* fprintf(ficresfb," yearbproj age"); */ |
|
Line 6898 void prevforecast(char fileres[], double
|
Line 6923 void prevforecast(char fileres[], double
|
| /* for (h=0; h<=nhstepm; h++){ */ |
/* for (h=0; h<=nhstepm; h++){ */ |
| /* if (h*hstepm/YEARM*stepm ==yearp) { */ |
/* if (h*hstepm/YEARM*stepm ==yearp) { */ |
| /* fprintf(ficresfb,"\n"); */ |
/* fprintf(ficresfb,"\n"); */ |
| /* for(j=1;j<=nqveff;j++) */ |
/* for(j=1;j<=cptcoveff;j++) */ |
| /* fprintf(ficresfb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ |
/* fprintf(ficresfb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ |
| /* fprintf(ficresfb,"%.f %.f ",anback1+yearp,agec+h*hstepm/YEARM*stepm); */ |
/* fprintf(ficresfb,"%.f %.f ",anback1+yearp,agec+h*hstepm/YEARM*stepm); */ |
| /* } */ |
/* } */ |
|
Line 6961 void populforecast(char fileres[], doubl
|
Line 6986 void populforecast(char fileres[], doubl
|
| printf("Computing forecasting: result on file '%s' \n", filerespop); |
printf("Computing forecasting: result on file '%s' \n", filerespop); |
| fprintf(ficlog,"Computing forecasting: result on file '%s' \n", filerespop); |
fprintf(ficlog,"Computing forecasting: result on file '%s' \n", filerespop); |
| |
|
| if (nqveff==0) ncodemax[nqveff]=1; |
if (cptcoveff==0) ncodemax[cptcoveff]=1; |
| |
|
| /* if (mobilav!=0) { */ |
/* if (mobilav!=0) { */ |
| /* mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ |
/* mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ |
|
Line 6996 void populforecast(char fileres[], doubl
|
Line 7021 void populforecast(char fileres[], doubl
|
| } |
} |
| |
|
| for(cptcov=1,k=0;cptcov<=i2;cptcov++){ |
for(cptcov=1,k=0;cptcov<=i2;cptcov++){ |
| for(cptcod=1;cptcod<=ncodemax[nqveff];cptcod++){ |
for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){ |
| k=k+1; |
k=k+1; |
| fprintf(ficrespop,"\n#******"); |
fprintf(ficrespop,"\n#******"); |
| for(j=1;j<=nqveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| } |
} |
| fprintf(ficrespop,"******\n"); |
fprintf(ficrespop,"******\n"); |
|
Line 7396 int readdata(char datafile[], int firsto
|
Line 7421 int readdata(char datafile[], int firsto
|
| /* Loops on waves */ |
/* Loops on waves */ |
| for (j=maxwav;j>=1;j--){ |
for (j=maxwav;j>=1;j--){ |
| for (iv=nqtv;iv>=1;iv--){ /* Loop on time varying quantitative variables */ |
for (iv=nqtv;iv>=1;iv--){ /* Loop on time varying quantitative variables */ |
| cutv(stra, strb, line, ' '); |
cutv(stra, strb, line, ' '); |
| if(strb[0]=='.') { /* Missing value */ |
if(strb[0]=='.') { /* Missing value */ |
| lval=-1; |
lval=-1; |
| }else{ |
cotqvar[j][iv][i]=-1; /* 0.0/0.0 */ |
| errno=0; |
if(isalpha(strb[1])) { /* .m or .d Really Missing value */ |
| /* what_kind_of_number(strb); */ |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j); |
| dval=strtod(strb,&endptr); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j);fflush(ficlog); |
| /* if( strb[0]=='\0' || (*endptr != '\0')){ */ |
return 1; |
| /* if(strb != endptr && *endptr == '\0') */ |
} |
| /* dval=dlval; */ |
}else{ |
| /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN)) */ |
errno=0; |
| if( strb[0]=='\0' || (*endptr != '\0')){ |
/* what_kind_of_number(strb); */ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, nqtv, j,maxwav); |
dval=strtod(strb,&endptr); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqtv, j,maxwav);fflush(ficlog); |
/* if( strb[0]=='\0' || (*endptr != '\0')){ */ |
| return 1; |
/* if(strb != endptr && *endptr == '\0') */ |
| } |
/* dval=dlval; */ |
| cotqvar[j][iv][i]=dval; |
/* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN)) */ |
| } |
if( strb[0]=='\0' || (*endptr != '\0')){ |
| strcpy(line,stra); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, nqtv, j,maxwav); |
| |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqtv, j,maxwav);fflush(ficlog); |
| |
return 1; |
| |
} |
| |
cotqvar[j][iv][i]=dval; |
| |
} |
| |
strcpy(line,stra); |
| }/* end loop ntqv */ |
}/* end loop ntqv */ |
| |
|
| for (iv=ntv;iv>=1;iv--){ /* Loop on time varying dummies */ |
for (iv=ntv;iv>=1;iv--){ /* Loop on time varying dummies */ |
| cutv(stra, strb, line, ' '); |
cutv(stra, strb, line, ' '); |
| if(strb[0]=='.') { /* Missing value */ |
if(strb[0]=='.') { /* Missing value */ |
| lval=-1; |
lval=-1; |
| }else{ |
}else{ |
| errno=0; |
errno=0; |
| lval=strtol(strb,&endptr,10); |
lval=strtol(strb,&endptr,10); |
| /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ |
/* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ |
| if( strb[0]=='\0' || (*endptr != '\0')){ |
if( strb[0]=='\0' || (*endptr != '\0')){ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th dummy covariate out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, ntv, j,maxwav); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th dummy covariate out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, ntv, j,maxwav); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d dummy covariate out of %d measured wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, ntv,j,maxwav);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d dummy covariate out of %d measured wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, ntv,j,maxwav);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| } |
} |
| if(lval <-1 || lval >1){ |
if(lval <-1 || lval >1){ |
| printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
| Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
| for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
| For example, for multinomial values like 1, 2 and 3,\n \ |
For example, for multinomial values like 1, 2 and 3,\n \ |
| build V1=0 V2=0 for the reference value (1),\n \ |
build V1=0 V2=0 for the reference value (1),\n \ |
| V1=1 V2=0 for (2) \n \ |
V1=1 V2=0 for (2) \n \ |
| and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
| output of IMaCh is often meaningless.\n \ |
output of IMaCh is often meaningless.\n \ |
| Exiting.\n",lval,linei, i,line,j); |
Exiting.\n",lval,linei, i,line,j); |
| fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
| Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
| for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
| For example, for multinomial values like 1, 2 and 3,\n \ |
For example, for multinomial values like 1, 2 and 3,\n \ |
| build V1=0 V2=0 for the reference value (1),\n \ |
build V1=0 V2=0 for the reference value (1),\n \ |
| V1=1 V2=0 for (2) \n \ |
V1=1 V2=0 for (2) \n \ |
| and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
| output of IMaCh is often meaningless.\n \ |
output of IMaCh is often meaningless.\n \ |
| Exiting.\n",lval,linei, i,line,j);fflush(ficlog); |
Exiting.\n",lval,linei, i,line,j);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| cotvar[j][iv][i]=(double)(lval); |
cotvar[j][iv][i]=(double)(lval); |
| strcpy(line,stra); |
strcpy(line,stra); |
| }/* end loop ntv */ |
}/* end loop ntv */ |
| |
|
| /* Statuses at wave */ |
/* Statuses at wave */ |
| cutv(stra, strb, line, ' '); |
cutv(stra, strb, line, ' '); |
| if(strb[0]=='.') { /* Missing value */ |
if(strb[0]=='.') { /* Missing value */ |
| lval=-1; |
lval=-1; |
| }else{ |
}else{ |
| errno=0; |
errno=0; |
| lval=strtol(strb,&endptr,10); |
lval=strtol(strb,&endptr,10); |
| /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ |
/* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ |
| if( strb[0]=='\0' || (*endptr != '\0')){ |
if( strb[0]=='\0' || (*endptr != '\0')){ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| } |
} |
| |
|
| s[j][i]=lval; |
s[j][i]=lval; |
| |
|
| /* Date of Interview */ |
/* Date of Interview */ |
| strcpy(line,stra); |
strcpy(line,stra); |
| cutv(stra, strb,line,' '); |
cutv(stra, strb,line,' '); |
| if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){ |
if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){ |
| } |
} |
| else if( (iout=sscanf(strb,"%s.",dummy)) != 0){ |
else if( (iout=sscanf(strb,"%s.",dummy)) != 0){ |
| month=99; |
month=99; |
| year=9999; |
year=9999; |
| }else{ |
}else{ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| anint[j][i]= (double) year; |
anint[j][i]= (double) year; |
| mint[j][i]= (double)month; |
mint[j][i]= (double)month; |
| strcpy(line,stra); |
strcpy(line,stra); |
| } /* End loop on waves */ |
} /* End loop on waves */ |
| |
|
| /* Date of death */ |
/* Date of death */ |
| cutv(stra, strb,line,' '); |
cutv(stra, strb,line,' '); |
| if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){ |
if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){ |
|
Line 7500 int readdata(char datafile[], int firsto
|
Line 7531 int readdata(char datafile[], int firsto
|
| year=9999; |
year=9999; |
| }else{ |
}else{ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| andc[i]=(double) year; |
andc[i]=(double) year; |
| moisdc[i]=(double) month; |
moisdc[i]=(double) month; |
|
Line 7517 int readdata(char datafile[], int firsto
|
Line 7548 int readdata(char datafile[], int firsto
|
| }else{ |
}else{ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| if (year==9999) { |
if (year==9999) { |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);fflush(ficlog); |
| return 1; |
return 1; |
| |
|
| } |
} |
| annais[i]=(double)(year); |
annais[i]=(double)(year); |
| moisnais[i]=(double)(month); |
moisnais[i]=(double)(month); |
| strcpy(line,stra); |
strcpy(line,stra); |
| |
|
| /* Sample weight */ |
/* Sample weight */ |
| cutv(stra, strb,line,' '); |
cutv(stra, strb,line,' '); |
| errno=0; |
errno=0; |
|
Line 7541 int readdata(char datafile[], int firsto
|
Line 7572 int readdata(char datafile[], int firsto
|
| } |
} |
| weight[i]=dval; |
weight[i]=dval; |
| strcpy(line,stra); |
strcpy(line,stra); |
| |
|
| for (iv=nqv;iv>=1;iv--){ /* Loop on fixed quantitative variables */ |
for (iv=nqv;iv>=1;iv--){ /* Loop on fixed quantitative variables */ |
| cutv(stra, strb, line, ' '); |
cutv(stra, strb, line, ' '); |
| if(strb[0]=='.') { /* Missing value */ |
if(strb[0]=='.') { /* Missing value */ |
| lval=-1; |
lval=-1; |
| }else{ |
}else{ |
| errno=0; |
errno=0; |
| /* what_kind_of_number(strb); */ |
/* what_kind_of_number(strb); */ |
| dval=strtod(strb,&endptr); |
dval=strtod(strb,&endptr); |
| /* if(strb != endptr && *endptr == '\0') */ |
/* if(strb != endptr && *endptr == '\0') */ |
| /* dval=dlval; */ |
/* dval=dlval; */ |
| /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN)) */ |
/* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN)) */ |
| if( strb[0]=='\0' || (*endptr != '\0')){ |
if( strb[0]=='\0' || (*endptr != '\0')){ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value (out of %d) constant for all waves. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqv, maxwav); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value (out of %d) constant for all waves. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqv, maxwav); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value (out of %d) constant for all waves. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqv, maxwav);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value (out of %d) constant for all waves. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqv, maxwav);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| coqvar[iv][i]=dval; |
coqvar[iv][i]=dval; |
| } |
} |
| strcpy(line,stra); |
strcpy(line,stra); |
| }/* end loop nqv */ |
}/* end loop nqv */ |
|
Line 7567 int readdata(char datafile[], int firsto
|
Line 7598 int readdata(char datafile[], int firsto
|
| for (j=ncovcol;j>=1;j--){ |
for (j=ncovcol;j>=1;j--){ |
| cutv(stra, strb,line,' '); |
cutv(stra, strb,line,' '); |
| if(strb[0]=='.') { /* Missing covariate value */ |
if(strb[0]=='.') { /* Missing covariate value */ |
| lval=-1; |
lval=-1; |
| }else{ |
}else{ |
| errno=0; |
errno=0; |
| lval=strtol(strb,&endptr,10); |
lval=strtol(strb,&endptr,10); |
| if( strb[0]=='\0' || (*endptr != '\0')){ |
if( strb[0]=='\0' || (*endptr != '\0')){ |
| printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line); |
printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line); |
| fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| } |
} |
| if(lval <-1 || lval >1){ |
if(lval <-1 || lval >1){ |
| printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
| Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
| for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
| For example, for multinomial values like 1, 2 and 3,\n \ |
For example, for multinomial values like 1, 2 and 3,\n \ |
| build V1=0 V2=0 for the reference value (1),\n \ |
build V1=0 V2=0 for the reference value (1),\n \ |
| V1=1 V2=0 for (2) \n \ |
V1=1 V2=0 for (2) \n \ |
| and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
| output of IMaCh is often meaningless.\n \ |
output of IMaCh is often meaningless.\n \ |
| Exiting.\n",lval,linei, i,line,j); |
Exiting.\n",lval,linei, i,line,j); |
| fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
| Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
| for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
| For example, for multinomial values like 1, 2 and 3,\n \ |
For example, for multinomial values like 1, 2 and 3,\n \ |
| build V1=0 V2=0 for the reference value (1),\n \ |
build V1=0 V2=0 for the reference value (1),\n \ |
| V1=1 V2=0 for (2) \n \ |
V1=1 V2=0 for (2) \n \ |
| and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
| output of IMaCh is often meaningless.\n \ |
output of IMaCh is often meaningless.\n \ |
| Exiting.\n",lval,linei, i,line,j);fflush(ficlog); |
Exiting.\n",lval,linei, i,line,j);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| covar[j][i]=(double)(lval); |
covar[j][i]=(double)(lval); |
| strcpy(line,stra); |
strcpy(line,stra); |
| } |
} |
| lstra=strlen(stra); |
lstra=strlen(stra); |
| |
|
| if(lstra > 9){ /* More than 2**32 or max of what printf can write with %ld */ |
if(lstra > 9){ /* More than 2**32 or max of what printf can write with %ld */ |
| stratrunc = &(stra[lstra-9]); |
stratrunc = &(stra[lstra-9]); |
| num[i]=atol(stratrunc); |
num[i]=atol(stratrunc); |
|
Line 7614 int readdata(char datafile[], int firsto
|
Line 7645 int readdata(char datafile[], int firsto
|
| |
|
| i=i+1; |
i=i+1; |
| } /* End loop reading data */ |
} /* End loop reading data */ |
| |
|
| *imax=i-1; /* Number of individuals */ |
*imax=i-1; /* Number of individuals */ |
| fclose(fic); |
fclose(fic); |
| |
|
| return (0); |
return (0); |
| /* endread: */ |
/* endread: */ |
| printf("Exiting readdata: "); |
printf("Exiting readdata: "); |
| fclose(fic); |
fclose(fic); |
| return (1); |
return (1); |
| } |
} |
| |
|
| void removespace(char *str) { |
void removespace(char *str) { |
|
Line 7672 int decodemodel ( char model[], int last
|
Line 7703 int decodemodel ( char model[], int last
|
| if ((strpt=strstr(model,"age*age")) !=0){ |
if ((strpt=strstr(model,"age*age")) !=0){ |
| printf(" strpt=%s, model=%s\n",strpt, model); |
printf(" strpt=%s, model=%s\n",strpt, model); |
| if(strpt != model){ |
if(strpt != model){ |
| printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ |
printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ |
| 'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
| corresponding column of parameters.\n",model); |
corresponding column of parameters.\n",model); |
| fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ |
fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ |
| 'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
| corresponding column of parameters.\n",model); fflush(ficlog); |
corresponding column of parameters.\n",model); fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| |
|
| nagesqr=1; |
nagesqr=1; |
| if (strstr(model,"+age*age") !=0) |
if (strstr(model,"+age*age") !=0) |
| substrchaine(modelsav, model, "+age*age"); |
substrchaine(modelsav, model, "+age*age"); |
| else if (strstr(model,"age*age+") !=0) |
else if (strstr(model,"age*age+") !=0) |
| substrchaine(modelsav, model, "age*age+"); |
substrchaine(modelsav, model, "age*age+"); |
| else |
else |
| substrchaine(modelsav, model, "age*age"); |
substrchaine(modelsav, model, "age*age"); |
| }else |
}else |
| nagesqr=0; |
nagesqr=0; |
| if (strlen(modelsav) >1){ |
if (strlen(modelsav) >1){ |
|
Line 7695 int decodemodel ( char model[], int last
|
Line 7725 int decodemodel ( char model[], int last
|
| j1=nbocc(modelsav,'*'); /**< j1=Number of '*' */ |
j1=nbocc(modelsav,'*'); /**< j1=Number of '*' */ |
| cptcovs=j+1-j1; /**< Number of simple covariates V1+V1*age+V3 +V3*V4+age*age=> V1 + V3 =5-3=2 */ |
cptcovs=j+1-j1; /**< Number of simple covariates V1+V1*age+V3 +V3*V4+age*age=> V1 + V3 =5-3=2 */ |
| cptcovt= j+1; /* Number of total covariates in the model, not including |
cptcovt= j+1; /* Number of total covariates in the model, not including |
| * cst, age and age*age |
* cst, age and age*age |
| * V1+V1*age+ V3 + V3*V4+age*age=> 3+1=4*/ |
* V1+V1*age+ V3 + V3*V4+age*age=> 3+1=4*/ |
| /* including age products which are counted in cptcovage. |
/* including age products which are counted in cptcovage. |
| * but the covariates which are products must be treated |
* but the covariates which are products must be treated |
| * separately: ncovn=4- 2=2 (V1+V3). */ |
* separately: ncovn=4- 2=2 (V1+V3). */ |
| cptcovprod=j1; /**< Number of products V1*V2 +v3*age = 2 */ |
cptcovprod=j1; /**< Number of products V1*V2 +v3*age = 2 */ |
| cptcovprodnoage=0; /**< Number of covariate products without age: V3*V4 =1 */ |
cptcovprodnoage=0; /**< Number of covariate products without age: V3*V4 =1 */ |
| |
|
| |
|
| /* Design |
/* Design |
| * V1 V2 V3 V4 V5 V6 V7 V8 V9 Weight |
* V1 V2 V3 V4 V5 V6 V7 V8 V9 Weight |
| * < ncovcol=8 > |
* < ncovcol=8 > |
|
Line 7737 int decodemodel ( char model[], int last
|
Line 7767 int decodemodel ( char model[], int last
|
| * {2, 1, 4, 8, 5, 6, 3, 7} |
* {2, 1, 4, 8, 5, 6, 3, 7} |
| * Struct [] |
* Struct [] |
| */ |
*/ |
| |
|
| /* This loop fills the array Tvar from the string 'model'.*/ |
/* This loop fills the array Tvar from the string 'model'.*/ |
| /* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */ |
/* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */ |
| /* modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4 */ |
/* modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4 */ |
|
Line 7752 int decodemodel ( char model[], int last
|
Line 7782 int decodemodel ( char model[], int last
|
| /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k])]]*cov[2]; */ |
/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k])]]*cov[2]; */ |
| /* |
/* |
| * Treating invertedly V2+V1+V3*age+V2*V4 is as if written V2*V4 +V3*age + V1 + V2 */ |
* Treating invertedly V2+V1+V3*age+V2*V4 is as if written V2*V4 +V3*age + V1 + V2 */ |
| for(k=cptcovt; k>=1;k--) /**< Number of covariates */ |
for(k=cptcovt; k>=1;k--) /**< Number of covariates not including constant and age, neither age*age*/ |
| Tvar[k]=0; |
Tvar[k]=0; |
| cptcovage=0; |
cptcovage=0; |
| for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */ |
for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */ |
| cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+' |
cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+' |
| modelsav==V2+V1+V4+V3*age strb=V3*age stra=V2+V1+V4 */ |
modelsav==V2+V1+V4+V3*age strb=V3*age stra=V2+V1+V4 */ |
| if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */ |
if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */ |
| /* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/ |
/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/ |
| /*scanf("%d",i);*/ |
/*scanf("%d",i);*/ |
| if (strchr(strb,'*')) { /**< Model includes a product V2+V1+V4+V3*age strb=V3*age */ |
if (strchr(strb,'*')) { /**< Model includes a product V2+V1+V4+V3*age strb=V3*age */ |
| cutl(strc,strd,strb,'*'); /**< strd*strc Vm*Vn: strb=V3*age(input) strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */ |
cutl(strc,strd,strb,'*'); /**< strd*strc Vm*Vn: strb=V3*age(input) strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */ |
| if (strcmp(strc,"age")==0) { /**< Model includes age: Vn*age */ |
if (strcmp(strc,"age")==0) { /**< Model includes age: Vn*age */ |
| /* covar is not filled and then is empty */ |
/* covar is not filled and then is empty */ |
| cptcovprod--; |
cptcovprod--; |
| cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */ |
cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */ |
| Tvar[k]=atoi(stre); /* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1 */ |
Tvar[k]=atoi(stre); /* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1 */ |
| cptcovage++; /* Sums the number of covariates which include age as a product */ |
Typevar[k]=1; /* 2 for age product */ |
| Tage[cptcovage]=k; /* Tvar[4]=3, Tage[1] = 4 or V1+V1*age Tvar[2]=1, Tage[1]=2 */ |
cptcovage++; /* Sums the number of covariates which include age as a product */ |
| /*printf("stre=%s ", stre);*/ |
Tage[cptcovage]=k; /* Tvar[4]=3, Tage[1] = 4 or V1+V1*age Tvar[2]=1, Tage[1]=2 */ |
| } else if (strcmp(strd,"age")==0) { /* or age*Vn */ |
/*printf("stre=%s ", stre);*/ |
| cptcovprod--; |
} else if (strcmp(strd,"age")==0) { /* or age*Vn */ |
| cutl(stre,strb,strc,'V'); |
cptcovprod--; |
| Tvar[k]=atoi(stre); |
cutl(stre,strb,strc,'V'); |
| cptcovage++; |
Tvar[k]=atoi(stre); |
| Tage[cptcovage]=k; |
Typevar[k]=1; /* 1 for age product */ |
| } else { /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2 strb=V3*V2*/ |
cptcovage++; |
| /* loops on k1=1 (V3*V2) and k1=2 V4*V3 */ |
Tage[cptcovage]=k; |
| cptcovn++; |
} else { /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2 strb=V3*V2*/ |
| cptcovprodnoage++;k1++; |
/* loops on k1=1 (V3*V2) and k1=2 V4*V3 */ |
| cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ |
cptcovn++; |
| Tvar[k]=ncovcol+k1; /* For model-covariate k tells which data-covariate to use but |
cptcovprodnoage++;k1++; |
| because this model-covariate is a construction we invent a new column |
cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ |
| ncovcol + k1 |
Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* For model-covariate k tells which data-covariate to use but |
| If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2 |
because this model-covariate is a construction we invent a new column |
| Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */ |
which is after existing variables ncovcol+nqv+ntv+nqtv + k1 |
| cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ |
If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2 |
| Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 */ |
Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */ |
| Tvard[k1][1] =atoi(strc); /* m 1 for V1*/ |
Typevar[k]=2; /* 2 for double fixed dummy covariates */ |
| Tvard[k1][2] =atoi(stre); /* n 4 for V4*/ |
cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ |
| k2=k2+2; |
Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 */ |
| Tvar[cptcovt+k2]=Tvard[k1][1]; /* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) */ |
Tvard[k1][1] =atoi(strc); /* m 1 for V1*/ |
| Tvar[cptcovt+k2+1]=Tvard[k1][2]; /* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) */ |
Tvard[k1][2] =atoi(stre); /* n 4 for V4*/ |
| for (i=1; i<=lastobs;i++){ |
k2=k2+2; /* k2 is initialize to -1, We want to store the n and m in Vn*Vm at the end of Tvar */ |
| /* Computes the new covariate which is a product of |
/* Tvar[cptcovt+k2]=Tvard[k1][1]; /\* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) *\/ */ |
| covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */ |
/* Tvar[cptcovt+k2+1]=Tvard[k1][2]; /\* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) *\/ */ |
| covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i]; |
/*ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2, Tvar[3]=5, Tvar[4]=6, cptcovt=5 */ |
| } |
/* 1 2 3 4 5 | Tvar[5+1)=1, Tvar[7]=2 */ |
| } /* End age is not in the model */ |
for (i=1; i<=lastobs;i++){ |
| } /* End if model includes a product */ |
/* Computes the new covariate which is a product of |
| else { /* no more sum */ |
covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */ |
| /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/ |
covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i]; |
| /* scanf("%d",i);*/ |
} |
| cutl(strd,strc,strb,'V'); |
} /* End age is not in the model */ |
| ks++; /**< Number of simple covariates */ |
} /* End if model includes a product */ |
| cptcovn++; |
else { /* no more sum */ |
| Tvar[k]=atoi(strd); |
/*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/ |
| } |
/* scanf("%d",i);*/ |
| strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */ |
cutl(strd,strc,strb,'V'); |
| |
ks++; /**< Number of simple covariates*/ |
| |
cptcovn++; /** V4+V3+V5: V4 and V3 timevarying dummy covariates, V5 timevarying quantitative */ |
| |
Tvar[k]=atoi(strd); |
| |
Typevar[k]=0; /* 0 for simple covariates */ |
| |
} |
| |
strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */ |
| /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav); |
/*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav); |
| scanf("%d",i);*/ |
scanf("%d",i);*/ |
| } /* end of loop + on total covariates */ |
} /* end of loop + on total covariates */ |
| } /* end if strlen(modelsave == 0) age*age might exist */ |
} /* end if strlen(modelsave == 0) age*age might exist */ |
| } /* end if strlen(model == 0) */ |
} /* end if strlen(model == 0) */ |
| |
|
| /*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products. |
/*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products. |
| If model=V1+V1*age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0*/ |
If model=V1+V1*age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0*/ |
| |
|
| /* 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); |
printf("cptcovprod=%d ", cptcovprod); |
| fprintf(ficlog,"cptcovprod=%d ", cptcovprod); |
fprintf(ficlog,"cptcovprod=%d ", cptcovprod); |
| |
scanf("%d ",i);*/ |
| scanf("%d ",i);*/ |
|
| /* Dispatching in quantitative and time varying covariates */ |
|
| |
/* Decodemodel knows only the grammar (simple, product, age*) of the model but not what kind |
| for(k=1, ncoveff=0, nqveff=0, ntveff=0, nqtveff=0;k<=cptcovn; k++){ /* or cptocvt */ |
of variable (dummy vs quantitative, fixed vs time varying) is behind */ |
| if (Tvar[k] <=ncovcol){ |
/* ncovcol= 1, nqv=1, ntv=2, nqtv= 1 = 5 possible variables data |
| ncoveff++; |
model= V2 + V4 +V3 + V4*V3 + V5*age + V5 , V1 is not used saving its place |
| }else if( Tvar[k] <=ncovcol+nqv){ |
k = 1 2 3 4 5 6 |
| nqveff++; |
Tvar[k]= 2 4 3 1+1+2+1+1=6 5 5 |
| }else if( Tvar[k] <=ncovcol+nqv+ntv){ |
Typevar[k]=0 0 0 2 1 0 |
| ntveff++; |
*/ |
| }else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv){ |
/* Dispatching between quantitative and time varying covariates */ |
| nqtveff++; |
/* Tvar[k] is the value n of Vn with n varying for 1 to nvcol, or p Vp=Vn*Vm for product */ |
| }else |
for(k=1, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0;k<=cptcovt; k++){ /* or cptocvt */ |
| printf("Error in effective covariates \n"); |
if (Tvar[k] <=ncovcol){ /* Simple fixed dummy covariatee */ |
| } |
ncoveff++; |
| |
}else if( Tvar[k] <=ncovcol+nqv && Typevar[k]==0){ /* Remind that product Vn*Vm are added in k*/ |
| |
nqfveff++; /* Only simple fixed quantitative variable */ |
| |
}else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){ |
| |
ntveff++; /* Only simple time varying dummy variable */ |
| |
}else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv && Typevar[k]==0){ |
| |
nqtveff++;/* Only simple time varying quantitative variable */ |
| |
}else{ |
| |
printf("Other types in effective covariates \n"); |
| |
} |
| |
} |
| |
|
| |
printf("ncoveff=%d, nqfveff=%d, ntveff=%d, nqtveff=%d, cptcovn=%d\n",ncoveff,nqfveff,ntveff,nqtveff,cptcovn); |
| |
fprintf(ficlog,"ncoveff=%d, nqfveff=%d, ntveff=%d, nqtveff=%d, cptcovn=%d\n",ncoveff,nqfveff,ntveff,nqtveff,cptcovn); |
| return (0); /* with covar[new additional covariate if product] and Tage if age */ |
return (0); /* with covar[new additional covariate if product] and Tage if age */ |
| /*endread:*/ |
/*endread:*/ |
| printf("Exiting decodemodel: "); |
printf("Exiting decodemodel: "); |
| return (1); |
return (1); |
| } |
} |
| |
|
| int calandcheckages(int imx, int maxwav, double *agemin, double *agemax, int *nberr, int *nbwarn ) |
int calandcheckages(int imx, int maxwav, double *agemin, double *agemax, int *nberr, int *nbwarn ) |
|
Line 8190 int prevalence_limit(double *p, double *
|
Line 8238 int prevalence_limit(double *p, double *
|
| fprintf(ficrespl,"#******"); |
fprintf(ficrespl,"#******"); |
| printf("#******"); |
printf("#******"); |
| fprintf(ficlog,"#******"); |
fprintf(ficlog,"#******"); |
| for(j=1;j<=nqveff;j++) { |
for(j=1;j<=nqfveff;j++) { |
| fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
|
Line 8206 int prevalence_limit(double *p, double *
|
Line 8254 int prevalence_limit(double *p, double *
|
| } |
} |
| |
|
| fprintf(ficrespl,"#Age "); |
fprintf(ficrespl,"#Age "); |
| for(j=1;j<=nqveff;j++) { |
for(j=1;j<=nqfveff;j++) { |
| fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| } |
} |
| for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); |
for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); |
|
Line 8216 int prevalence_limit(double *p, double *
|
Line 8264 int prevalence_limit(double *p, double *
|
| /* for (age=agebase; age<=agebase; age++){ */ |
/* for (age=agebase; age<=agebase; age++){ */ |
| prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k); |
prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k); |
| fprintf(ficrespl,"%.0f ",age ); |
fprintf(ficrespl,"%.0f ",age ); |
| for(j=1;j<=nqveff;j++) |
for(j=1;j<=nqfveff;j++) |
| fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| tot=0.; |
tot=0.; |
| for(i=1; i<=nlstate;i++){ |
for(i=1; i<=nlstate;i++){ |
|
Line 8264 int back_prevalence_limit(double *p, dou
|
Line 8312 int back_prevalence_limit(double *p, dou
|
| agelim=agemaxpar; |
agelim=agemaxpar; |
| |
|
| |
|
| i1=pow(2,nqveff); |
i1=pow(2,nqfveff); |
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| for(k=1; k<=i1;k++){ |
for(k=1; k<=i1;k++){ |
|
Line 8277 int back_prevalence_limit(double *p, dou
|
Line 8325 int back_prevalence_limit(double *p, dou
|
| fprintf(ficresplb,"#******"); |
fprintf(ficresplb,"#******"); |
| printf("#******"); |
printf("#******"); |
| fprintf(ficlog,"#******"); |
fprintf(ficlog,"#******"); |
| for(j=1;j<=nqveff;j++) { |
for(j=1;j<=nqfveff;j++) { |
| fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
|
Line 8293 int back_prevalence_limit(double *p, dou
|
Line 8341 int back_prevalence_limit(double *p, dou
|
| } |
} |
| |
|
| fprintf(ficresplb,"#Age "); |
fprintf(ficresplb,"#Age "); |
| for(j=1;j<=nqveff;j++) { |
for(j=1;j<=nqfveff;j++) { |
| fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| } |
} |
| for(i=1; i<=nlstate;i++) fprintf(ficresplb," %d-%d ",i,i); |
for(i=1; i<=nlstate;i++) fprintf(ficresplb," %d-%d ",i,i); |
|
Line 8315 int back_prevalence_limit(double *p, dou
|
Line 8363 int back_prevalence_limit(double *p, dou
|
| bprevalim(bprlim, probs, nlstate, p, age, ftolpl, ncvyearp, k); |
bprevalim(bprlim, probs, nlstate, p, age, ftolpl, ncvyearp, k); |
| } |
} |
| fprintf(ficresplb,"%.0f ",age ); |
fprintf(ficresplb,"%.0f ",age ); |
| for(j=1;j<=nqveff;j++) |
for(j=1;j<=nqfveff;j++) |
| fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| tot=0.; |
tot=0.; |
| for(i=1; i<=nlstate;i++){ |
for(i=1; i<=nlstate;i++){ |
|
Line 8363 int hPijx(double *p, int bage, int fage)
|
Line 8411 int hPijx(double *p, int bage, int fage)
|
| /* hstepm=1; aff par mois*/ |
/* hstepm=1; aff par mois*/ |
| pstamp(ficrespij); |
pstamp(ficrespij); |
| fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x "); |
fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x "); |
| i1= pow(2,nqveff); |
i1= pow(2,nqfveff); |
| /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
| /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
/* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
| /* k=k+1; */ |
/* k=k+1; */ |
| for (k=1; k <= (int) pow(2,nqveff); k++){ |
for (k=1; k <= (int) pow(2,nqfveff); k++){ |
| fprintf(ficrespij,"\n#****** "); |
fprintf(ficrespij,"\n#****** "); |
| for(j=1;j<=nqveff;j++) |
for(j=1;j<=nqfveff;j++) |
| fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficrespij,"******\n"); |
fprintf(ficrespij,"******\n"); |
| |
|
|
Line 8435 int hPijx(double *p, int bage, int fage)
|
Line 8483 int hPijx(double *p, int bage, int fage)
|
| /* hstepm=1; aff par mois*/ |
/* hstepm=1; aff par mois*/ |
| pstamp(ficrespijb); |
pstamp(ficrespijb); |
| fprintf(ficrespijb,"#****** h Pij x Back Probability to be in state i at age x-h being in j at x "); |
fprintf(ficrespijb,"#****** h Pij x Back Probability to be in state i at age x-h being in j at x "); |
| i1= pow(2,nqveff); |
i1= pow(2,nqfveff); |
| /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
| /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
/* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
| /* k=k+1; */ |
/* k=k+1; */ |
| for (k=1; k <= (int) pow(2,nqveff); k++){ |
for (k=1; k <= (int) pow(2,nqfveff); k++){ |
| fprintf(ficrespijb,"\n#****** "); |
fprintf(ficrespijb,"\n#****** "); |
| for(j=1;j<=nqveff;j++) |
for(j=1;j<=nqfveff;j++) |
| fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficrespijb,"******\n"); |
fprintf(ficrespijb,"******\n"); |
| if(invalidvarcomb[k]){ |
if(invalidvarcomb[k]){ |
|
Line 8836 int main(int argc, char *argv[])
|
Line 8884 int main(int argc, char *argv[])
|
| |
|
| |
|
| covar=matrix(0,NCOVMAX,1,n); /**< used in readdata */ |
covar=matrix(0,NCOVMAX,1,n); /**< used in readdata */ |
| coqvar=matrix(1,nqv,1,n); /**< used in readdata */ |
coqvar=matrix(1,nqv,1,n); /**< Fixed quantitative covariate */ |
| cotvar=ma3x(1,maxwav,1,ntv,1,n); /**< used in readdata */ |
cotvar=ma3x(1,maxwav,1,ntv,1,n); /**< Time varying covariate */ |
| cotqvar=ma3x(1,maxwav,1,nqtv,1,n); /**< used in readdata */ |
cotqvar=ma3x(1,maxwav,1,nqtv,1,n); /**< Time varying quantitative covariate */ |
| cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn*/ |
cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn*/ |
| /* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5 |
/* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5 |
| v1+v2*age+v2*v3 makes cptcovn = 3 |
v1+v2*age+v2*v3 makes cptcovn = 3 |
|
Line 9081 Please run with mle=-1 to get a correct
|
Line 9129 Please run with mle=-1 to get a correct
|
| k=1 Tvar[1]=2 (from V2) |
k=1 Tvar[1]=2 (from V2) |
| */ |
*/ |
| Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */ |
Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */ |
| |
Typevar=ivector(1,NCOVMAX); /* -1 to 4 */ |
| /* V2+V1+V4+age*V3 is a model with 4 covariates (3 plus signs). |
/* V2+V1+V4+age*V3 is a model with 4 covariates (3 plus signs). |
| For each model-covariate stores the data-covariate id. Tvar[1]=2, Tvar[2]=1, Tvar[3]=4, |
For each model-covariate stores the data-covariate id. Tvar[1]=2, Tvar[2]=1, Tvar[3]=4, |
| Tvar[4=age*V3] is 3 and 'age' is recorded in Tage. |
Tvar[4=age*V3] is 3 and 'age' is recorded in Tage. |
|
Line 9161 Please run with mle=-1 to get a correct
|
Line 9210 Please run with mle=-1 to get a correct
|
| nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); |
nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); |
| ncodemax[1]=1; |
ncodemax[1]=1; |
| Ndum =ivector(-1,NCOVMAX); |
Ndum =ivector(-1,NCOVMAX); |
| cptcoveff=0; |
cptcoveff=0; |
| 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(&cptcoveff,Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */ |
tricode(&cptcoveff,Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */ |
| } |
} |
|
Line 9616 Please run with mle=-1 to get a correct
|
Line 9665 Please run with mle=-1 to get a correct
|
| fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); |
fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); |
| for(i=1,jk=1; i <=nlstate; i++){ |
for(i=1,jk=1; i <=nlstate; i++){ |
| for(k=1; k <=(nlstate+ndeath); k++){ |
for(k=1; k <=(nlstate+ndeath); k++){ |
| if (k != i) { |
if (k != i) { |
| printf("%d%d ",i,k); |
printf("%d%d ",i,k); |
| fprintf(ficlog,"%d%d ",i,k); |
fprintf(ficlog,"%d%d ",i,k); |
| fprintf(ficres,"%1d%1d ",i,k); |
fprintf(ficres,"%1d%1d ",i,k); |
| for(j=1; j <=ncovmodel; j++){ |
for(j=1; j <=ncovmodel; j++){ |
| printf("%12.7f ",p[jk]); |
printf("%12.7f ",p[jk]); |
| fprintf(ficlog,"%12.7f ",p[jk]); |
fprintf(ficlog,"%12.7f ",p[jk]); |
| fprintf(ficres,"%12.7f ",p[jk]); |
fprintf(ficres,"%12.7f ",p[jk]); |
| jk++; |
jk++; |
| } |
} |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| fprintf(ficres,"\n"); |
fprintf(ficres,"\n"); |
| } |
} |
| } |
} |
| } |
} |
| if(mle != 0){ |
if(mle != 0){ |
|
Line 9639 Please run with mle=-1 to get a correct
|
Line 9688 Please run with mle=-1 to get a correct
|
| printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
| fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
| for(i=1,jk=1; i <=nlstate; i++){ |
for(i=1,jk=1; i <=nlstate; i++){ |
| for(k=1; k <=(nlstate+ndeath); k++){ |
for(k=1; k <=(nlstate+ndeath); k++){ |
| if (k != i) { |
if (k != i) { |
| printf("%d%d ",i,k); |
printf("%d%d ",i,k); |
| fprintf(ficlog,"%d%d ",i,k); |
fprintf(ficlog,"%d%d ",i,k); |
| for(j=1; j <=ncovmodel; j++){ |
for(j=1; j <=ncovmodel; j++){ |
| printf("%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
printf("%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
| fprintf(ficlog,"%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
fprintf(ficlog,"%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
| jk++; |
jk++; |
| } |
} |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| } |
} |
| } |
} |
| } |
} |
| } /* end of hesscov and Wald tests */ |
} /* end of hesscov and Wald tests */ |
| |
|
| /* */ |
/* */ |
| fprintf(ficres,"# Scales (for hessian or gradient estimation)\n"); |
fprintf(ficres,"# Scales (for hessian or gradient estimation)\n"); |
| printf("# Scales (for hessian or gradient estimation)\n"); |
printf("# Scales (for hessian or gradient estimation)\n"); |
| fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n"); |
fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n"); |
| for(i=1,jk=1; i <=nlstate; i++){ |
for(i=1,jk=1; i <=nlstate; i++){ |
| for(j=1; j <=nlstate+ndeath; j++){ |
for(j=1; j <=nlstate+ndeath; j++){ |
| if (j!=i) { |
if (j!=i) { |
| fprintf(ficres,"%1d%1d",i,j); |
fprintf(ficres,"%1d%1d",i,j); |
| printf("%1d%1d",i,j); |
printf("%1d%1d",i,j); |
| fprintf(ficlog,"%1d%1d",i,j); |
fprintf(ficlog,"%1d%1d",i,j); |
| for(k=1; k<=ncovmodel;k++){ |
for(k=1; k<=ncovmodel;k++){ |
| printf(" %.5e",delti[jk]); |
printf(" %.5e",delti[jk]); |
| fprintf(ficlog," %.5e",delti[jk]); |
fprintf(ficlog," %.5e",delti[jk]); |
| fprintf(ficres," %.5e",delti[jk]); |
fprintf(ficres," %.5e",delti[jk]); |
| jk++; |
jk++; |
| } |
} |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| fprintf(ficres,"\n"); |
fprintf(ficres,"\n"); |
| } |
} |
| } |
} |
| } |
} |
| |
|
|
Line 9698 Please run with mle=-1 to get a correct
|
Line 9747 Please run with mle=-1 to get a correct
|
| for(itimes=1;itimes<=2;itimes++){ |
for(itimes=1;itimes<=2;itimes++){ |
| jj=0; |
jj=0; |
| for(i=1; i <=nlstate; i++){ |
for(i=1; i <=nlstate; i++){ |
| for(j=1; j <=nlstate+ndeath; j++){ |
for(j=1; j <=nlstate+ndeath; j++){ |
| if(j==i) continue; |
if(j==i) continue; |
| for(k=1; k<=ncovmodel;k++){ |
for(k=1; k<=ncovmodel;k++){ |
| jj++; |
jj++; |
| ca[0]= k+'a'-1;ca[1]='\0'; |
ca[0]= k+'a'-1;ca[1]='\0'; |
| if(itimes==1){ |
if(itimes==1){ |
| if(mle>=1) |
if(mle>=1) |
| printf("#%1d%1d%d",i,j,k); |
printf("#%1d%1d%d",i,j,k); |
| fprintf(ficlog,"#%1d%1d%d",i,j,k); |
fprintf(ficlog,"#%1d%1d%d",i,j,k); |
| fprintf(ficres,"#%1d%1d%d",i,j,k); |
fprintf(ficres,"#%1d%1d%d",i,j,k); |
| }else{ |
}else{ |
| if(mle>=1) |
if(mle>=1) |
| printf("%1d%1d%d",i,j,k); |
printf("%1d%1d%d",i,j,k); |
| fprintf(ficlog,"%1d%1d%d",i,j,k); |
fprintf(ficlog,"%1d%1d%d",i,j,k); |
| fprintf(ficres,"%1d%1d%d",i,j,k); |
fprintf(ficres,"%1d%1d%d",i,j,k); |
| } |
} |
| ll=0; |
ll=0; |
| for(li=1;li <=nlstate; li++){ |
for(li=1;li <=nlstate; li++){ |
| for(lj=1;lj <=nlstate+ndeath; lj++){ |
for(lj=1;lj <=nlstate+ndeath; lj++){ |
| if(lj==li) continue; |
if(lj==li) continue; |
| for(lk=1;lk<=ncovmodel;lk++){ |
for(lk=1;lk<=ncovmodel;lk++){ |
| ll++; |
ll++; |
| if(ll<=jj){ |
if(ll<=jj){ |
| cb[0]= lk +'a'-1;cb[1]='\0'; |
cb[0]= lk +'a'-1;cb[1]='\0'; |
| if(ll<jj){ |
if(ll<jj){ |
| if(itimes==1){ |
if(itimes==1){ |
| if(mle>=1) |
if(mle>=1) |
| printf(" Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
printf(" Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
| fprintf(ficlog," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
fprintf(ficlog," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
| fprintf(ficres," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
fprintf(ficres," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
| }else{ |
}else{ |
| if(mle>=1) |
if(mle>=1) |
| printf(" %.5e",matcov[jj][ll]); |
printf(" %.5e",matcov[jj][ll]); |
| fprintf(ficlog," %.5e",matcov[jj][ll]); |
fprintf(ficlog," %.5e",matcov[jj][ll]); |
| fprintf(ficres," %.5e",matcov[jj][ll]); |
fprintf(ficres," %.5e",matcov[jj][ll]); |
| } |
} |
| }else{ |
}else{ |
| if(itimes==1){ |
if(itimes==1){ |
| if(mle>=1) |
if(mle>=1) |
| printf(" Var(%s%1d%1d)",ca,i,j); |
printf(" Var(%s%1d%1d)",ca,i,j); |
| fprintf(ficlog," Var(%s%1d%1d)",ca,i,j); |
fprintf(ficlog," Var(%s%1d%1d)",ca,i,j); |
| fprintf(ficres," Var(%s%1d%1d)",ca,i,j); |
fprintf(ficres," Var(%s%1d%1d)",ca,i,j); |
| }else{ |
}else{ |
| if(mle>=1) |
if(mle>=1) |
| printf(" %.7e",matcov[jj][ll]); |
printf(" %.7e",matcov[jj][ll]); |
| fprintf(ficlog," %.7e",matcov[jj][ll]); |
fprintf(ficlog," %.7e",matcov[jj][ll]); |
| fprintf(ficres," %.7e",matcov[jj][ll]); |
fprintf(ficres," %.7e",matcov[jj][ll]); |
| } |
} |
| } |
} |
| } |
} |
| } /* end lk */ |
} /* end lk */ |
| } /* end lj */ |
} /* end lj */ |
| } /* end li */ |
} /* end li */ |
| if(mle>=1) |
if(mle>=1) |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| fprintf(ficres,"\n"); |
fprintf(ficres,"\n"); |
| numlinepar++; |
numlinepar++; |
| } /* end k*/ |
} /* end k*/ |
| } /*end j */ |
} /*end j */ |
| } /* end i */ |
} /* end i */ |
| } /* end itimes */ |
} /* end itimes */ |
| |
|
| fflush(ficlog); |
fflush(ficlog); |
| fflush(ficres); |
fflush(ficres); |
| while(fgets(line, MAXLINE, ficpar)) { |
while(fgets(line, MAXLINE, ficpar)) { |
| /* If line starts with a # it is a comment */ |
/* If line starts with a # it is a comment */ |
| if (line[0] == '#') { |
if (line[0] == '#') { |
| numlinepar++; |
numlinepar++; |
| fputs(line,stdout); |
fputs(line,stdout); |
| fputs(line,ficparo); |
fputs(line,ficparo); |
| fputs(line,ficlog); |
fputs(line,ficlog); |
| continue; |
continue; |
| }else |
}else |
| break; |
break; |
| } |
} |
| |
|
| /* while((c=getc(ficpar))=='#' && c!= EOF){ */ |
/* while((c=getc(ficpar))=='#' && c!= EOF){ */ |
| /* ungetc(c,ficpar); */ |
/* ungetc(c,ficpar); */ |
| /* fgets(line, MAXLINE, ficpar); */ |
/* fgets(line, MAXLINE, ficpar); */ |
|
Line 9785 Please run with mle=-1 to get a correct
|
Line 9834 Please run with mle=-1 to get a correct
|
| |
|
| estepm=0; |
estepm=0; |
| if((num_filled=sscanf(line,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm, &ftolpl)) !=EOF){ |
if((num_filled=sscanf(line,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm, &ftolpl)) !=EOF){ |
| |
|
| if (num_filled != 6) { |
if (num_filled != 6) { |
| printf("Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); |
printf("Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); |
| fprintf(ficlog,"Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); |
fprintf(ficlog,"Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); |
| goto end; |
goto end; |
| } |
} |
| printf("agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",ageminpar,agemaxpar, bage, fage, estepm, ftolpl); |
printf("agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",ageminpar,agemaxpar, bage, fage, estepm, ftolpl); |
| } |
} |
| /* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */ |
/* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */ |
| /*ftolpl=6.e-4;*/ /* 6.e-3 make convergences in less than 80 loops for the prevalence limit */ |
/*ftolpl=6.e-4;*/ /* 6.e-3 make convergences in less than 80 loops for the prevalence limit */ |
| |
|
| /* fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm); */ |
/* fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm); */ |
| if (estepm==0 || estepm < stepm) estepm=stepm; |
if (estepm==0 || estepm < stepm) estepm=stepm; |
| if (fage <= 2) { |
if (fage <= 2) { |
|
Line 9884 Please run with mle=-1 to get a correct
|
Line 9933 Please run with mle=-1 to get a correct
|
| printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p); |
printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p); |
| } |
} |
| printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \ |
printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \ |
| model,imx,jmin,jmax,jmean,rfileres,popforecast,prevfcast,backcast, estepm, \ |
model,imx,jmin,jmax,jmean,rfileres,popforecast,prevfcast,backcast, estepm, \ |
| jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2); |
jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2); |
| |
|
| /*------------ free_vector -------------*/ |
/*------------ free_vector -------------*/ |
| /* chdir(path); */ |
/* chdir(path); */ |
| |
|
| /* free_ivector(wav,1,imx); */ /* Moved after last prevalence call */ |
/* free_ivector(wav,1,imx); */ /* Moved after last prevalence call */ |
| /* free_imatrix(dh,1,lastpass-firstpass+2,1,imx); */ |
/* free_imatrix(dh,1,lastpass-firstpass+2,1,imx); */ |
|
Line 9925 Please run with mle=-1 to get a correct
|
Line 9974 Please run with mle=-1 to get a correct
|
| probs= ma3x(1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax); |
probs= ma3x(1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax); |
| for(i=1;i<=AGESUP;i++) |
for(i=1;i<=AGESUP;i++) |
| for(j=1;j<=nlstate+ndeath;j++) /* ndeath is useless but a necessity to be compared with mobaverages */ |
for(j=1;j<=nlstate+ndeath;j++) /* ndeath is useless but a necessity to be compared with mobaverages */ |
| for(k=1;k<=ncovcombmax;k++) |
for(k=1;k<=ncovcombmax;k++) |
| probs[i][j][k]=0.; |
probs[i][j][k]=0.; |
| prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); |
prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); |
| if (mobilav!=0 ||mobilavproj !=0 ) { |
if (mobilav!=0 ||mobilavproj !=0 ) { |
| mobaverages= ma3x(1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); |
mobaverages= ma3x(1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); |
|
Line 9955 Please run with mle=-1 to get a correct
|
Line 10004 Please run with mle=-1 to get a correct
|
| /*if((stepm == 1) && (strcmp(model,".")==0)){*/ |
/*if((stepm == 1) && (strcmp(model,".")==0)){*/ |
| if(prevfcast==1){ |
if(prevfcast==1){ |
| /* if(stepm ==1){*/ |
/* if(stepm ==1){*/ |
| prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, nqveff); |
prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff); |
| } |
} |
| if(backcast==1){ |
if(backcast==1){ |
| ddnewms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
ddnewms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
|
Line 9973 Please run with mle=-1 to get a correct
|
Line 10022 Please run with mle=-1 to get a correct
|
| free_matrix(bprlim,1,nlstate,1,nlstate); /*here or after loop ? */ |
free_matrix(bprlim,1,nlstate,1,nlstate); /*here or after loop ? */ |
| |
|
| /* prevbackforecast(fileresu, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, mobilavproj, |
/* prevbackforecast(fileresu, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, mobilavproj, |
| bage, fage, firstpass, lastpass, anback2, p, nqveff); */ |
bage, fage, firstpass, lastpass, anback2, p, cptcoveff); */ |
| free_matrix(ddnewms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
free_matrix(ddnewms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
| free_matrix(ddsavms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
free_matrix(ddsavms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
| free_matrix(ddoldms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
free_matrix(ddoldms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
|
Line 9999 Please run with mle=-1 to get a correct
|
Line 10048 Please run with mle=-1 to get a correct
|
| printf("Computing Health Expectancies: result on file '%s' ...", filerese);fflush(stdout); |
printf("Computing Health Expectancies: result on file '%s' ...", filerese);fflush(stdout); |
| fprintf(ficlog,"Computing Health Expectancies: result on file '%s' ...", filerese);fflush(ficlog); |
fprintf(ficlog,"Computing Health Expectancies: result on file '%s' ...", filerese);fflush(ficlog); |
| |
|
| for (k=1; k <= (int) pow(2,nqveff); k++){ |
for (k=1; k <= (int) pow(2,cptcoveff); k++){ |
| fprintf(ficreseij,"\n#****** "); |
fprintf(ficreseij,"\n#****** "); |
| for(j=1;j<=nqveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| } |
} |
| fprintf(ficreseij,"******\n"); |
fprintf(ficreseij,"******\n"); |
|
Line 10059 Please run with mle=-1 to get a correct
|
Line 10108 Please run with mle=-1 to get a correct
|
| /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
/*for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
| for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ |
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ |
| |
|
| for (k=1; k <= (int) pow(2,nqveff); k++){ |
for (k=1; k <= (int) pow(2,cptcoveff); k++){ |
| fprintf(ficrest,"\n#****** "); |
fprintf(ficrest,"\n#****** "); |
| for(j=1;j<=nqveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficrest,"******\n"); |
fprintf(ficrest,"******\n"); |
| |
|
| fprintf(ficresstdeij,"\n#****** "); |
fprintf(ficresstdeij,"\n#****** "); |
| fprintf(ficrescveij,"\n#****** "); |
fprintf(ficrescveij,"\n#****** "); |
| for(j=1;j<=nqveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| } |
} |
|
Line 10075 Please run with mle=-1 to get a correct
|
Line 10124 Please run with mle=-1 to get a correct
|
| fprintf(ficrescveij,"******\n"); |
fprintf(ficrescveij,"******\n"); |
| |
|
| fprintf(ficresvij,"\n#****** "); |
fprintf(ficresvij,"\n#****** "); |
| for(j=1;j<=nqveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficresvij,"******\n"); |
fprintf(ficresvij,"******\n"); |
| |
|
|
Line 10185 Please run with mle=-1 to get a correct
|
Line 10234 Please run with mle=-1 to get a correct
|
| /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
/*for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
| for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ |
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ |
| |
|
| for (k=1; k <= (int) pow(2,nqveff); k++){ |
for (k=1; k <= (int) pow(2,cptcoveff); k++){ |
| fprintf(ficresvpl,"\n#****** "); |
fprintf(ficresvpl,"\n#****** "); |
| for(j=1;j<=nqveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficresvpl,"******\n"); |
fprintf(ficresvpl,"******\n"); |
| |
|
|
Line 10226 Please run with mle=-1 to get a correct
|
Line 10275 Please run with mle=-1 to get a correct
|
| |
|
| free_ivector(ncodemax,1,NCOVMAX); |
free_ivector(ncodemax,1,NCOVMAX); |
| free_ivector(ncodemaxwundef,1,NCOVMAX); |
free_ivector(ncodemaxwundef,1,NCOVMAX); |
| |
free_ivector(Typevar,-1,NCOVMAX); |
| free_ivector(Tvar,1,NCOVMAX); |
free_ivector(Tvar,1,NCOVMAX); |
| free_ivector(Tprod,1,NCOVMAX); |
free_ivector(Tprod,1,NCOVMAX); |
| free_ivector(Tvaraff,1,NCOVMAX); |
free_ivector(Tvaraff,1,NCOVMAX); |
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