version 1.233, 2016/08/23 07:40:50
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version 1.234, 2016/08/23 16:51:20
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/* $Id$ |
/* $Id$ |
$State$ |
$State$ |
$Log$ |
$Log$ |
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Revision 1.234 2016/08/23 16:51:20 brouard |
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*** empty log message *** |
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Revision 1.233 2016/08/23 07:40:50 brouard |
Revision 1.233 2016/08/23 07:40:50 brouard |
Summary: not working |
Summary: not working |
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Line 920 int cptcoveff=0; /* Total number of cova
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Line 923 int cptcoveff=0; /* Total number of cova
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int ncovf=0; /* Total number of effective fixed covariates (dummy or quantitative) in the model */ |
int ncovf=0; /* Total number of effective fixed covariates (dummy or quantitative) in the model */ |
int ncovv=0; /* Total number of effective (wave) varying covariates (dummy or quantitative) in the model */ |
int ncovv=0; /* Total number of effective (wave) varying covariates (dummy or quantitative) in the model */ |
int ncova=0; /* Total number of effective (wave and stepm) varying with age covariates (dummy of quantitative) in the model */ |
int ncova=0; /* Total number of effective (wave and stepm) varying with age covariates (dummy of quantitative) in the model */ |
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int nsd=0; /**< Total number of single dummy variables (output) */ |
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int nsq=0; /**< Total number of single quantitative variables (output) */ |
int ncoveff=0; /* Total number of effective fixed dummy covariates in the model */ |
int ncoveff=0; /* Total number of effective fixed dummy covariates in the model */ |
int nqfveff=0; /**< nqfveff Number of Quantitative Fixed Variables Effective */ |
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 */ |
Line 978 char fileresv[FILENAMELENGTH];
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Line 982 char fileresv[FILENAMELENGTH];
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FILE *ficresvpl; |
FILE *ficresvpl; |
char fileresvpl[FILENAMELENGTH]; |
char fileresvpl[FILENAMELENGTH]; |
char title[MAXLINE]; |
char title[MAXLINE]; |
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char model[MAXLINE]; /**< The model line */ |
char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH], filerespl[FILENAMELENGTH], fileresplb[FILENAMELENGTH]; |
char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH], filerespl[FILENAMELENGTH], fileresplb[FILENAMELENGTH]; |
char plotcmd[FILENAMELENGTH], pplotcmd[FILENAMELENGTH]; |
char plotcmd[FILENAMELENGTH], pplotcmd[FILENAMELENGTH]; |
char tmpout[FILENAMELENGTH], tmpout2[FILENAMELENGTH]; |
char tmpout[FILENAMELENGTH], tmpout2[FILENAMELENGTH]; |
Line 1077 double ***cotvar; /* Time varying covari
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Line 1082 double ***cotvar; /* Time varying covari
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double ***cotqvar; /* Time varying quantitative covariate itqv */ |
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 */ |
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/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
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/*k 1 2 3 4 5 6 7 8 9 */ |
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/*Tvar[k]= 5 4 3 6 5 2 7 1 1 */ |
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/* Tndvar[k] 1 2 3 4 5 */ |
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/*TDvar 4 3 6 7 1 */ /* For outputs only; combination of dummies fixed or varying */ |
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/* Tns[k] 1 2 2 4 5 */ /* Number of single cova */ |
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/* TvarsD[k] 1 2 3 */ /* Number of single dummy cova */ |
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/* TvarsDind 2 3 9 */ /* position K of single dummy cova */ |
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/* TvarsQ[k] 1 2 */ /* Number of single quantitative cova */ |
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/* TvarsQind 1 6 */ /* position K of single quantitative cova */ |
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/* Tprod[i]=k 4 7 */ |
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/* Tage[i]=k 5 8 */ |
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/* */ |
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/* Type */ |
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/* V 1 2 3 4 5 */ |
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/* F F V V V */ |
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/* D Q D D Q */ |
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/* */ |
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int *TvarsD; |
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int *TvarsDind; |
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int *TvarsQ; |
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int *TvarsQind; |
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/* int *TDvar; /\**< TDvar[1]=4, TDvarF[2]=3, TDvar[3]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\/ */ |
int *TvarF; /**< TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
int *TvarF; /**< TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
int *TvarFind; /**< TvarFind[1]=6, TvarFind[2]=7, Tvarind[3]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
int *TvarFind; /**< TvarFind[1]=6, TvarFind[2]=7, Tvarind[3]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
int *TvarV; /**< TvarV[1]=Tvar[1]=5, TvarV[2]=Tvar[2]=4 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
int *TvarV; /**< TvarV[1]=Tvar[1]=5, TvarV[2]=Tvar[2]=4 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
Line 1336 int nbocc(char *s, char occ)
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Line 1365 int nbocc(char *s, char occ)
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i=0; |
i=0; |
lg=strlen(s); |
lg=strlen(s); |
for(i=0; i<= lg; i++) { |
for(i=0; i<= lg; i++) { |
if (s[i] == occ ) j++; |
if (s[i] == occ ) j++; |
} |
} |
return j; |
return j; |
} |
} |
Line 2227 void powell(double p[], double **xi, int
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Line 2256 void powell(double p[], double **xi, int
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if (directest < 0.0) { /* Then we use it for new direction */ |
if (directest < 0.0) { /* Then we use it for new direction */ |
#endif |
#endif |
#ifdef DEBUGLINMIN |
#ifdef DEBUGLINMIN |
printf("Before linmin in direction P%d-P0\n",n); |
printf("Before linmin in direction P%d-P0\n",n); |
for (j=1;j<=n;j++) { |
for (j=1;j<=n;j++) { |
printf(" Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); |
printf(" Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); |
fprintf(ficlog," Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); |
fprintf(ficlog," Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); |
if(j % ncovmodel == 0){ |
if(j % ncovmodel == 0){ |
printf("\n"); |
printf("\n"); |
fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
} |
} |
} |
} |
#endif |
#endif |
#ifdef LINMINORIGINAL |
#ifdef LINMINORIGINAL |
linmin(p,xit,n,fret,func); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/ |
linmin(p,xit,n,fret,func); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/ |
#else |
#else |
linmin(p,xit,n,fret,func,&flat); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/ |
linmin(p,xit,n,fret,func,&flat); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/ |
flatdir[i]=flat; /* Function is vanishing in that direction i */ |
flatdir[i]=flat; /* Function is vanishing in that direction i */ |
#endif |
#endif |
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#ifdef DEBUGLINMIN |
#ifdef DEBUGLINMIN |
for (j=1;j<=n;j++) { |
for (j=1;j<=n;j++) { |
printf("After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); |
printf("After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); |
fprintf(ficlog,"After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); |
fprintf(ficlog,"After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); |
if(j % ncovmodel == 0){ |
if(j % ncovmodel == 0){ |
printf("\n"); |
printf("\n"); |
fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
} |
} |
} |
} |
#endif |
#endif |
for (j=1;j<=n;j++) { |
for (j=1;j<=n;j++) { |
xi[j][ibig]=xi[j][n]; /* Replace direction with biggest decrease by last direction n */ |
xi[j][ibig]=xi[j][n]; /* Replace direction with biggest decrease by last direction n */ |
xi[j][n]=xit[j]; /* and this nth direction by the by the average p_0 p_n */ |
xi[j][n]=xit[j]; /* and this nth direction by the by the average p_0 p_n */ |
} |
} |
#ifdef LINMINORIGINAL |
#ifdef LINMINORIGINAL |
#else |
#else |
for (j=1, flatd=0;j<=n;j++) { |
for (j=1, flatd=0;j<=n;j++) { |
if(flatdir[j]>0) |
if(flatdir[j]>0) |
flatd++; |
flatd++; |
} |
} |
if(flatd >0){ |
if(flatd >0){ |
printf("%d flat directions\n",flatd); |
printf("%d flat directions\n",flatd); |
fprintf(ficlog,"%d flat directions\n",flatd); |
fprintf(ficlog,"%d flat directions\n",flatd); |
for (j=1;j<=n;j++) { |
for (j=1;j<=n;j++) { |
if(flatdir[j]>0){ |
if(flatdir[j]>0){ |
printf("%d ",j); |
printf("%d ",j); |
fprintf(ficlog,"%d ",j); |
fprintf(ficlog,"%d ",j); |
} |
} |
} |
} |
printf("\n"); |
printf("\n"); |
fprintf(ficlog,"\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); |
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#ifdef DEBUG |
#ifdef DEBUG |
printf("Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); |
printf("Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); |
fprintf(ficlog,"Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); |
fprintf(ficlog,"Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); |
for(j=1;j<=n;j++){ |
for(j=1;j<=n;j++){ |
printf(" %lf",xit[j]); |
printf(" %lf",xit[j]); |
fprintf(ficlog," %lf",xit[j]); |
fprintf(ficlog," %lf",xit[j]); |
} |
} |
printf("\n"); |
printf("\n"); |
fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
#endif |
#endif |
} /* end of t or directest negative */ |
} /* end of t or directest negative */ |
#ifdef POWELLNOF3INFF1TEST |
#ifdef POWELLNOF3INFF1TEST |
#else |
#else |
} /* end if (fptt < fp) */ |
} /* end if (fptt < fp) */ |
#endif |
#endif |
#ifdef NODIRECTIONCHANGEDUNTILNITER /* No change in drections until some iterations are done */ |
#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 |
#else |
#endif |
#endif |
} /* loop iteration */ |
} /* loop iteration */ |
} |
} |
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/**** Prevalence limit (stable or period prevalence) ****************/ |
/**** Prevalence limit (stable or period prevalence) ****************/ |
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double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij) |
double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij) |
{ |
{ |
/* Computes the prevalence limit in each live state at age x and for covariate ij by left multiplying the unit |
/* Computes the prevalence limit in each live state at age x and for covariate combiation ij by left multiplying the unit |
matrix by transitions matrix until convergence is reached with precision ftolpl */ |
matrix by transitions matrix until convergence is reached with precision ftolpl */ |
/* Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1 = Wx-n Px-n ... Px-2 Px-1 I */ |
/* Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1 = Wx-n Px-n ... Px-2 Px-1 I */ |
/* Wx is row vector: population in state 1, population in state 2, population dead */ |
/* Wx is row vector: population in state 1, population in state 2, population dead */ |
/* or prevalence in state 1, prevalence in state 2, 0 */ |
/* or prevalence in state 1, prevalence in state 2, 0 */ |
Line 2325 double **prevalim(double **prlim, int nl
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Line 2354 double **prevalim(double **prlim, int nl
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/* {0.51571254859325999, 0.4842874514067399, */ |
/* {0.51571254859325999, 0.4842874514067399, */ |
/* 0.51326036147820708, 0.48673963852179264} */ |
/* 0.51326036147820708, 0.48673963852179264} */ |
/* If we start from prlim again, prlim tends to a constant matrix */ |
/* If we start from prlim again, prlim tends to a constant matrix */ |
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int i, ii,j,k; |
int i, ii,j,k; |
double *min, *max, *meandiff, maxmax,sumnew=0.; |
double *min, *max, *meandiff, maxmax,sumnew=0.; |
/* double **matprod2(); */ /* test */ |
/* double **matprod2(); */ /* test */ |
Line 2355 double **prevalim(double **prlim, int nl
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Line 2384 double **prevalim(double **prlim, int nl
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cov[2]=agefin; |
cov[2]=agefin; |
if(nagesqr==1) |
if(nagesqr==1) |
cov[3]= agefin*agefin;; |
cov[3]= agefin*agefin;; |
for (k=1; k<=cptcovn;k++) { |
for (k=1; k<=nsd;k++) { /* For single dummy covariates only */ |
/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */ |
/* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */ |
/* Here comes the value of the covariate 'ij' */ |
cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)]; |
cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; |
printf("prevalim ij=%d k=%d TvarsD[%d]=%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); |
/* printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtabm(ij,Tvar[k])],cov[2+k], ij, k, codtabm(ij,Tvar[k])]); */ |
} |
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for (k=1; k<=nsq;k++) { /* For single varying covariates only */ |
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/* Here comes the value of quantitative after renumbering k with single quantitative covariates */ |
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/* cov[2+nagesqr+TvarsQind[k]]=qselvar[k]; */ |
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printf("prevalim ij=%d k=%d TvarsQind[%d]=%d \n",ij,k,k,TvarsQind[k]); |
} |
} |
/*wrong? for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ |
/*wrong? for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ |
/* for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]*cov[2]; */ |
/* for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]*cov[2]; */ |
for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,k)]*cov[2]; |
for (k=1; k<=cptcovage;k++){ |
for (k=1; k<=cptcovprod;k++) /* Useless */ |
if(Dummy[Tvar[Tage[k]]]){ |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ |
cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
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} else{ |
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; |
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/* cov[2+nagesqr+Tage[k]]=qselvar[k]; */ |
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} |
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printf("prevalim Age ij=%d k=%d Tage[%d]=%d \n",ij,k,k,Tage[k]); |
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} |
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for (k=1; k<=cptcovprod;k++){ /* */ |
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printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=%d, Tvard[%d][2]=%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); |
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; |
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; |
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} |
/*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ |
/*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ |
/*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ |
/*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ |
/*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/ |
/*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/ |
Line 2517 Earliest age to start was %d-%d=%d, ncvl
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Line 2558 Earliest age to start was %d-%d=%d, ncvl
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} |
} |
for(j=1; j<=nlstate; j++){ |
for(j=1; j<=nlstate; j++){ |
for(i=1;i<=nlstate;i++){ |
for(i=1;i<=nlstate;i++){ |
/* bprlim[i][j]= newm[i][j]/(1-sumnew); */ |
/* bprlim[i][j]= newm[i][j]/(1-sumnew); */ |
bprlim[i][j]= newm[i][j]; |
bprlim[i][j]= newm[i][j]; |
max[i]=FMAX(max[i],bprlim[i][j]); /* Max in line */ |
max[i]=FMAX(max[i],bprlim[i][j]); /* Max in line */ |
min[i]=FMIN(min[i],bprlim[i][j]); |
min[i]=FMIN(min[i],bprlim[i][j]); |
} |
} |
} |
} |
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Line 2715 double **bpmij(double **ps, double *cov,
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Line 2756 double **bpmij(double **ps, double *cov,
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/*double t34;*/ |
/*double t34;*/ |
int i,j, nc, ii, jj; |
int i,j, nc, ii, jj; |
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for(i=1; i<= nlstate; i++){ |
for(i=1; i<= nlstate; i++){ |
for(j=1; j<i;j++){ |
for(j=1; j<i;j++){ |
for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){ |
for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){ |
/*lnpijopii += param[i][j][nc]*cov[nc];*/ |
/*lnpijopii += param[i][j][nc]*cov[nc];*/ |
lnpijopii += x[nc+((i-1)*(nlstate+ndeath-1)+j-1)*ncovmodel]*cov[nc]; |
lnpijopii += x[nc+((i-1)*(nlstate+ndeath-1)+j-1)*ncovmodel]*cov[nc]; |
/* printf("Int j<i s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */ |
/* printf("Int j<i s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */ |
} |
} |
ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ |
ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ |
/* printf("s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */ |
/* printf("s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */ |
} |
} |
for(j=i+1; j<=nlstate+ndeath;j++){ |
for(j=i+1; j<=nlstate+ndeath;j++){ |
for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){ |
for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){ |
/*lnpijopii += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];*/ |
/*lnpijopii += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];*/ |
lnpijopii += x[nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel]*cov[nc]; |
lnpijopii += x[nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel]*cov[nc]; |
/* printf("Int j>i s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */ |
/* printf("Int j>i s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */ |
} |
} |
ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ |
ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ |
} |
} |
} |
} |
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for(i=1; i<= nlstate; i++){ |
for(i=1; i<= nlstate; i++){ |
s1=0; |
s1=0; |
for(j=1; j<i; j++){ |
for(j=1; j<i; j++){ |
s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
/*printf("debug1 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */ |
/*printf("debug1 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */ |
} |
} |
for(j=i+1; j<=nlstate+ndeath; j++){ |
for(j=i+1; j<=nlstate+ndeath; j++){ |
s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
/*printf("debug2 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */ |
/*printf("debug2 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */ |
} |
} |
/* s1= sum_{j<>i} pij/pii=(1-pii)/pii and thus pii is known from s1 */ |
/* s1= sum_{j<>i} pij/pii=(1-pii)/pii and thus pii is known from s1 */ |
ps[i][i]=1./(s1+1.); |
ps[i][i]=1./(s1+1.); |
/* Computing other pijs */ |
/* Computing other pijs */ |
for(j=1; j<i; j++) |
for(j=1; j<i; j++) |
ps[i][j]= exp(ps[i][j])*ps[i][i]; |
ps[i][j]= exp(ps[i][j])*ps[i][i]; |
for(j=i+1; j<=nlstate+ndeath; j++) |
for(j=i+1; j<=nlstate+ndeath; j++) |
ps[i][j]= exp(ps[i][j])*ps[i][i]; |
ps[i][j]= exp(ps[i][j])*ps[i][i]; |
/* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */ |
/* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */ |
} /* end i */ |
} /* end i */ |
|
|
for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){ |
for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){ |
for(jj=1; jj<= nlstate+ndeath; jj++){ |
for(jj=1; jj<= nlstate+ndeath; jj++){ |
ps[ii][jj]=0; |
ps[ii][jj]=0; |
ps[ii][ii]=1; |
ps[ii][ii]=1; |
} |
} |
} |
} |
/* Added for backcast */ /* Transposed matrix too */ |
/* Added for backcast */ /* Transposed matrix too */ |
for(jj=1; jj<= nlstate+ndeath; jj++){ |
for(jj=1; jj<= nlstate+ndeath; jj++){ |
s1=0.; |
s1=0.; |
for(ii=1; ii<= nlstate+ndeath; ii++){ |
for(ii=1; ii<= nlstate+ndeath; ii++){ |
s1+=ps[ii][jj]; |
s1+=ps[ii][jj]; |
} |
} |
for(ii=1; ii<= nlstate; ii++){ |
for(ii=1; ii<= nlstate; ii++){ |
ps[ii][jj]=ps[ii][jj]/s1; |
ps[ii][jj]=ps[ii][jj]/s1; |
} |
} |
} |
} |
/* Transposition */ |
/* Transposition */ |
for(jj=1; jj<= nlstate+ndeath; jj++){ |
for(jj=1; jj<= nlstate+ndeath; jj++){ |
for(ii=jj; ii<= nlstate+ndeath; ii++){ |
for(ii=jj; ii<= nlstate+ndeath; ii++){ |
s1=ps[ii][jj]; |
s1=ps[ii][jj]; |
ps[ii][jj]=ps[jj][ii]; |
ps[ii][jj]=ps[jj][ii]; |
ps[jj][ii]=s1; |
ps[jj][ii]=s1; |
} |
} |
} |
} |
/* for(ii=1; ii<= nlstate+ndeath; ii++){ */ |
/* for(ii=1; ii<= nlstate+ndeath; ii++){ */ |
/* for(jj=1; jj<= nlstate+ndeath; jj++){ */ |
/* for(jj=1; jj<= nlstate+ndeath; jj++){ */ |
/* printf(" pmij ps[%d][%d]=%lf ",ii,jj,ps[ii][jj]); */ |
/* printf(" pmij ps[%d][%d]=%lf ",ii,jj,ps[ii][jj]); */ |
/* } */ |
/* } */ |
/* printf("\n "); */ |
/* printf("\n "); */ |
/* } */ |
/* } */ |
/* printf("\n ");printf("%lf ",cov[2]);*/ |
/* printf("\n ");printf("%lf ",cov[2]);*/ |
/* |
/* |
for(i=1; i<= npar; i++) printf("%f ",x[i]); |
for(i=1; i<= npar; i++) printf("%f ",x[i]); |
goto end;*/ |
goto end;*/ |
return ps; |
return ps; |
} |
} |
|
|
|
|
Line 3041 double func( double *x)
|
Line 3082 double func( double *x)
|
*/ |
*/ |
ioffset=2+nagesqr+cptcovage; |
ioffset=2+nagesqr+cptcovage; |
/* Fixed */ |
/* Fixed */ |
for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products */ |
for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products */ |
cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ |
cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ |
} |
} |
/* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] |
/* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] |
is 6, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2] |
is 6, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2] |
has been calculated etc */ |
has been calculated etc */ |
Line 3057 double func( double *x)
|
Line 3098 double func( double *x)
|
meaning that decodemodel should be used cotvar[mw[mi+1][i]][TTvar[iv]][i] |
meaning that decodemodel should be used cotvar[mw[mi+1][i]][TTvar[iv]][i] |
*/ |
*/ |
for(mi=1; mi<= wav[i]-1; mi++){ |
for(mi=1; mi<= wav[i]-1; mi++){ |
for(k=1; k <= ncovv ; k++){ /* Varying covariates (single and product but no age )*/ |
for(k=1; k <= ncovv ; k++){ /* Varying covariates (single and product but no age )*/ |
cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; |
cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][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); |
} |
} |
for(d=0; d<dh[mi][i]; d++){ |
for(d=0; d<dh[mi][i]; d++){ |
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; /* Should be changed here */ |
cov[3]= agexact*agexact; /* Should be changed here */ |
for (kk=1; kk<=cptcovage;kk++) { |
for (kk=1; kk<=cptcovage;kk++) { |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ |
} |
} |
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 */ |
|
|
/*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */ |
/*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */ |
/* But now since version 0.9 we anticipate for bias at large stepm. |
/* But now since version 0.9 we anticipate for bias at large stepm. |
* If stepm is larger than one month (smallest stepm) and if the exact delay |
* If stepm is larger than one month (smallest stepm) and if the exact delay |
* (in months) between two waves is not a multiple of stepm, we rounded to |
* (in months) between two waves is not a multiple of stepm, we rounded to |
* the nearest (and in case of equal distance, to the lowest) interval but now |
* the nearest (and in case of equal distance, to the lowest) interval but now |
* we keep into memory the bias bh[mi][i] and also the previous matrix product |
* we keep into memory the bias bh[mi][i] and also the previous matrix product |
* (i.e to dh[mi][i]-1) saved in 'savm'. Then we inter(extra)polate the |
* (i.e to dh[mi][i]-1) saved in 'savm'. Then we inter(extra)polate the |
* probability in order to take into account the bias as a fraction of the way |
* probability in order to take into account the bias as a fraction of the way |
* from savm to out if bh is negative or even beyond if bh is positive. bh varies |
* from savm to out if bh is negative or even beyond if bh is positive. bh varies |
* -stepm/2 to stepm/2 . |
* -stepm/2 to stepm/2 . |
* For stepm=1 the results are the same as for previous versions of Imach. |
* For stepm=1 the results are the same as for previous versions of Imach. |
* For stepm > 1 the results are less biased than in previous versions. |
* For stepm > 1 the results are less biased than in previous versions. |
*/ |
*/ |
s1=s[mw[mi][i]][i]; |
s1=s[mw[mi][i]][i]; |
s2=s[mw[mi+1][i]][i]; |
s2=s[mw[mi+1][i]][i]; |
bbh=(double)bh[mi][i]/(double)stepm; |
bbh=(double)bh[mi][i]/(double)stepm; |
/* bias bh is positive if real duration |
/* bias bh is positive if real duration |
* is higher than the multiple of stepm and negative otherwise. |
* is higher than the multiple of stepm and negative otherwise. |
*/ |
*/ |
/* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/ |
/* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/ |
if( s2 > nlstate){ |
if( s2 > nlstate){ |
/* i.e. if s2 is a death state and if the date of death is known |
/* i.e. if s2 is a death state and if the date of death is known |
then the contribution to the likelihood is the probability to |
then the contribution to the likelihood is the probability to |
die between last step unit time and current step unit time, |
die between last step unit time and current step unit time, |
which is also equal to probability to die before dh |
which is also equal to probability to die before dh |
minus probability to die before dh-stepm . |
minus probability to die before dh-stepm . |
In version up to 0.92 likelihood was computed |
In version up to 0.92 likelihood was computed |
as if date of death was unknown. Death was treated as any other |
as if date of death was unknown. Death was treated as any other |
health state: the date of the interview describes the actual state |
health state: the date of the interview describes the actual state |
and not the date of a change in health state. The former idea was |
and not the date of a change in health state. The former idea was |
to consider that at each interview the state was recorded |
to consider that at each interview the state was recorded |
(healthy, disable or death) and IMaCh was corrected; but when we |
(healthy, disable or death) and IMaCh was corrected; but when we |
introduced the exact date of death then we should have modified |
introduced the exact date of death then we should have modified |
the contribution of an exact death to the likelihood. This new |
the contribution of an exact death to the likelihood. This new |
contribution is smaller and very dependent of the step unit |
contribution is smaller and very dependent of the step unit |
stepm. It is no more the probability to die between last interview |
stepm. It is no more the probability to die between last interview |
and month of death but the probability to survive from last |
and month of death but the probability to survive from last |
interview up to one month before death multiplied by the |
interview up to one month before death multiplied by the |
probability to die within a month. Thanks to Chris |
probability to die within a month. Thanks to Chris |
Jackson for correcting this bug. Former versions increased |
Jackson for correcting this bug. Former versions increased |
mortality artificially. The bad side is that we add another loop |
mortality artificially. The bad side is that we add another loop |
which slows down the processing. The difference can be up to 10% |
which slows down the processing. The difference can be up to 10% |
lower mortality. |
lower mortality. |
*/ |
*/ |
/* If, at the beginning of the maximization mostly, the |
/* If, at the beginning of the maximization mostly, the |
cumulative probability or probability to be dead is |
cumulative probability or probability to be dead is |
constant (ie = 1) over time d, the difference is equal to |
constant (ie = 1) over time d, the difference is equal to |
0. out[s1][3] = savm[s1][3]: probability, being at state |
0. out[s1][3] = savm[s1][3]: probability, being at state |
s1 at precedent wave, to be dead a month before current |
s1 at precedent wave, to be dead a month before current |
wave is equal to probability, being at state s1 at |
wave is equal to probability, being at state s1 at |
precedent wave, to be dead at mont of the current |
precedent wave, to be dead at mont of the current |
wave. Then the observed probability (that this person died) |
wave. Then the observed probability (that this person died) |
is null according to current estimated parameter. In fact, |
is null according to current estimated parameter. In fact, |
it should be very low but not zero otherwise the log go to |
it should be very low but not zero otherwise the log go to |
infinity. |
infinity. |
*/ |
*/ |
/* #ifdef INFINITYORIGINAL */ |
/* #ifdef INFINITYORIGINAL */ |
/* lli=log(out[s1][s2] - savm[s1][s2]); */ |
/* lli=log(out[s1][s2] - savm[s1][s2]); */ |
/* #else */ |
/* #else */ |
Line 4078 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 4119 Title=%s <br>Datafile=%s Firstpass=%d La
|
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(anyvaryingduminmodel==0){ /* If All fixed covariates */ |
if(anyvaryingduminmodel==0){ /* If All fixed covariates */ |
if (cptcoveff >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
if (cptcoveff >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
/* for (z1=1; z1<= nqfveff; z1++) { */ |
/* for (z1=1; z1<= nqfveff; z1++) { */ |
/* meanq[z1]+=coqvar[Tvar[z1]][iind]; /\* Computes mean of quantitative with selected filter *\/ */ |
/* meanq[z1]+=coqvar[Tvar[z1]][iind]; /\* Computes mean of quantitative with selected filter *\/ */ |
/* } */ |
/* } */ |
for (z1=1; z1<=cptcoveff; z1++) { |
for (z1=1; z1<=cptcoveff; z1++) { |
/* if(Tvaraff[z1] ==-20){ */ |
/* if(Tvaraff[z1] ==-20){ */ |
/* /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; *\/ */ |
/* /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; *\/ */ |
/* }else if(Tvaraff[z1] ==-10){ */ |
/* }else if(Tvaraff[z1] ==-10){ */ |
/* /\* sumnew+=coqvar[z1][iind]; *\/ */ |
/* /\* sumnew+=coqvar[z1][iind]; *\/ */ |
/* }else */ |
/* }else */ |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){ |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){ |
/* Tests if this individual iind responded to j1 (V4=1 V3=0) */ |
/* Tests if this individual iind responded to j1 (V4=1 V3=0) */ |
bool=0; |
bool=0; |
/* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", |
/* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", |
bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1), |
bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1), |
j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/ |
j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/ |
/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ |
/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ |
} /* Onlyf fixed */ |
} /* Onlyf fixed */ |
} /* end z1 */ |
} /* end z1 */ |
} /* cptcovn > 0 */ |
} /* cptcovn > 0 */ |
} /* end any */ |
} /* end any */ |
if (bool==1){ /* We selected an individual iind satisfying combination j1 or all fixed */ |
if (bool==1){ /* We selected an individual iind satisfying combination j1 or all fixed */ |
/* for(m=firstpass; m<=lastpass; m++){ */ |
/* for(m=firstpass; m<=lastpass; m++){ */ |
for(mi=1; mi<wav[iind];mi++){ /* For that wave */ |
for(mi=1; mi<wav[iind];mi++){ /* For that wave */ |
m=mw[mi][iind]; |
m=mw[mi][iind]; |
if(anyvaryingduminmodel==1){ /* Some are varying covariates */ |
if(anyvaryingduminmodel==1){ /* Some are varying covariates */ |
for (z1=1; z1<=cptcoveff; z1++) { |
for (z1=1; z1<=cptcoveff; z1++) { |
if( Fixed[Tmodelind[z1]]==1){ |
if( Fixed[Tmodelind[z1]]==1){ |
iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; |
iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; |
if (cotvar[m][iv][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) /* iv=1 to ntv, right modality */ |
if (cotvar[m][iv][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) /* iv=1 to ntv, right modality */ |
bool=0; |
bool=0; |
}else if( Fixed[Tmodelind[z1]]== 0) { /* fixed */ |
}else if( Fixed[Tmodelind[z1]]== 0) { /* fixed */ |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) { |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) { |
bool=0; |
bool=0; |
} |
} |
} |
} |
} |
} |
}/* Some are varying covariates, we tried to speed up if all fixed covariates in the model, avoiding waves loop */ |
}/* Some are varying covariates, we tried to speed up if all fixed covariates in the model, avoiding waves loop */ |
/* bool =0 we keep that guy which corresponds to the combination of dummy values */ |
/* bool =0 we keep that guy which corresponds to the combination of dummy values */ |
if(bool==1){ |
if(bool==1){ |
/* dh[m][iind] or dh[mw[mi][iind]][iind] is the delay between two effective (mi) waves m=mw[mi][iind] |
/* dh[m][iind] or dh[mw[mi][iind]][iind] is the delay between two effective (mi) waves m=mw[mi][iind] |
and mw[mi+1][iind]. dh depends on stepm. */ |
and mw[mi+1][iind]. dh depends on stepm. */ |
agebegin=agev[m][iind]; /* Age at beginning of wave before transition*/ |
agebegin=agev[m][iind]; /* Age at beginning of wave before transition*/ |
ageend=agev[m][iind]+(dh[m][iind])*stepm/YEARM; /* Age at end of wave and transition */ |
ageend=agev[m][iind]+(dh[m][iind])*stepm/YEARM; /* Age at end of wave and transition */ |
if(m >=firstpass && m <=lastpass){ |
if(m >=firstpass && m <=lastpass){ |
k2=anint[m][iind]+(mint[m][iind]/12.); |
k2=anint[m][iind]+(mint[m][iind]/12.); |
/*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/ |
/*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/ |
if(agev[m][iind]==0) agev[m][iind]=iagemax+1; /* All ages equal to 0 are in iagemax+1 */ |
if(agev[m][iind]==0) agev[m][iind]=iagemax+1; /* All ages equal to 0 are in iagemax+1 */ |
if(agev[m][iind]==1) agev[m][iind]=iagemax+2; /* All ages equal to 1 are in iagemax+2 */ |
if(agev[m][iind]==1) agev[m][iind]=iagemax+2; /* All ages equal to 1 are in iagemax+2 */ |
if (s[m][iind]>0 && s[m][iind]<=nlstate) /* If status at wave m is known and a live state */ |
if (s[m][iind]>0 && s[m][iind]<=nlstate) /* If status at wave m is known and a live state */ |
prop[s[m][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
prop[s[m][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
if (m<lastpass) { |
if (m<lastpass) { |
/* if(s[m][iind]==4 && s[m+1][iind]==4) */ |
/* if(s[m][iind]==4 && s[m+1][iind]==4) */ |
/* printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind]); */ |
/* printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind]); */ |
if(s[m][iind]==-1) |
if(s[m][iind]==-1) |
printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind],agebegin, ageend, (int)((agebegin+ageend)/2.)); |
printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind],agebegin, ageend, (int)((agebegin+ageend)/2.)); |
freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
/* freq[s[m][iind]][s[m+1][iind]][(int)((agebegin+ageend)/2.)] += weight[iind]; */ |
/* freq[s[m][iind]][s[m+1][iind]][(int)((agebegin+ageend)/2.)] += weight[iind]; */ |
freq[s[m][iind]][s[m+1][iind]][iagemax+3] += weight[iind]; /* Total is in iagemax+3 *//* At age of beginning of transition, where status is known */ |
freq[s[m][iind]][s[m+1][iind]][iagemax+3] += weight[iind]; /* Total is in iagemax+3 *//* At age of beginning of transition, where status is known */ |
} |
} |
} /* end if between passes */ |
} /* end if between passes */ |
if ((agev[m][iind]>1) && (agev[m][iind]< (iagemax+3)) && (anint[m][iind]!=9999) && (mint[m][iind]!=99)) { |
if ((agev[m][iind]>1) && (agev[m][iind]< (iagemax+3)) && (anint[m][iind]!=9999) && (mint[m][iind]!=99)) { |
dateintsum=dateintsum+k2; |
dateintsum=dateintsum+k2; |
k2cpt++; |
k2cpt++; |
/* printf("iind=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",iind, dateintsum/k2cpt, dateintsum,k2cpt, k2); */ |
/* printf("iind=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",iind, dateintsum/k2cpt, dateintsum,k2cpt, k2); */ |
} |
} |
} /* end bool 2 */ |
} /* end bool 2 */ |
} /* end m */ |
} /* end m */ |
} /* end bool */ |
} /* end bool */ |
} /* end iind = 1 to imx */ |
} /* end iind = 1 to imx */ |
/* prop[s][age] is feeded for any initial and valid live state as well as |
/* prop[s][age] is feeded for any initial and valid live state as well as |
Line 4160 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 4201 Title=%s <br>Datafile=%s Firstpass=%d La
|
fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable "); |
fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable "); |
fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable "); |
fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable "); |
for (z1=1; z1<=cptcoveff; z1++){ |
for (z1=1; z1<=cptcoveff; z1++){ |
fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtmfr, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtmfr, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
} |
} |
fprintf(ficresp, "**********\n#"); |
fprintf(ficresp, "**********\n#"); |
fprintf(ficresphtm, "**********</h3>\n"); |
fprintf(ficresphtm, "**********</h3>\n"); |
Line 4184 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 4225 Title=%s <br>Datafile=%s Firstpass=%d La
|
fprintf(ficresphtmfr,"<th>Age</th> "); |
fprintf(ficresphtmfr,"<th>Age</th> "); |
for(jk=-1; jk <=nlstate+ndeath; jk++){ |
for(jk=-1; jk <=nlstate+ndeath; jk++){ |
for(m=-1; m <=nlstate+ndeath; m++){ |
for(m=-1; m <=nlstate+ndeath; m++){ |
if(jk!=0 && m!=0) |
if(jk!=0 && m!=0) |
fprintf(ficresphtmfr,"<th>%d%d</th> ",jk,m); |
fprintf(ficresphtmfr,"<th>%d%d</th> ",jk,m); |
} |
} |
} |
} |
fprintf(ficresphtmfr, "\n"); |
fprintf(ficresphtmfr, "\n"); |
Line 7847 int readdata(char datafile[], int firsto
|
Line 7888 int readdata(char datafile[], int firsto
|
return (1); |
return (1); |
} |
} |
|
|
void removespace(char **stri){/*, char stro[]) {*/ |
void removefirstspace(char **stri){/*, char stro[]) {*/ |
char *p1 = *stri, *p2 = *stri; |
char *p1 = *stri, *p2 = *stri; |
do |
if (*p2 == ' ') |
while (*p2 == ' ') |
p2++; |
p2++; |
/* while ((*p1++ = *p2++) !=0) */ |
while (*p1++ == *p2++); |
/* ; */ |
*stri=p1; |
/* do */ |
|
/* while (*p2 == ' ') */ |
|
/* p2++; */ |
|
/* while (*p1++ == *p2++); */ |
|
*stri=p2; |
} |
} |
|
|
int decoderesult ( char resultline[]) |
int decoderesult ( char resultline[]) |
/**< This routine decode one result line and returns the combination # of dummy covariates only **/ |
/**< This routine decode one result line and returns the combination # of dummy covariates only **/ |
{ |
{ |
int j=0, k=0; |
int j=0, k=0, k1=0, k2=0, match=0; |
char resultsav[MAXLINE]; |
char resultsav[MAXLINE]; |
|
int resultmodel[MAXLINE]; |
|
int modelresult[MAXLINE]; |
char stra[80], strb[80], strc[80], strd[80],stre[80]; |
char stra[80], strb[80], strc[80], strd[80],stre[80]; |
|
|
removespace(&resultline); |
removefirstspace(&resultline); |
printf("decoderesult:%s\n",resultline); |
printf("decoderesult:%s\n",resultline); |
|
|
if (strstr(resultline,"v") !=0){ |
if (strstr(resultline,"v") !=0){ |
Line 7875 int decoderesult ( char resultline[])
|
Line 7922 int decoderesult ( char resultline[])
|
if (strlen(resultsav) >1){ |
if (strlen(resultsav) >1){ |
j=nbocc(resultsav,'='); /**< j=Number of covariate values'=' */ |
j=nbocc(resultsav,'='); /**< j=Number of covariate values'=' */ |
} |
} |
|
if( j != cptcovs ){ /* Be careful if a variable is in a product but not single */ |
for(k=1; k<=j;k++){ /* Loop on total covariates of the model */ |
printf("ERROR: the number of variable in the resultline, %d, differs from the number of variable used in the model line, %d.\n",j, cptcovs); |
cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' ' |
fprintf(ficlog,"ERROR: the number of variable in the resultline, %d, differs from the number of variable used in the model line, %d.\n",j, cptcovs); |
resultsav= V4=1 V5=25.1 V3=0 strb=V3=0 stra= V4=1 V5=25.1 */ |
} |
cutl(strc,strd,strb,'='); /* strb:V4=1 strc=1 strd=V4 */ |
for(k=1; k<=j;k++){ /* Loop on any covariate of the result line */ |
|
if(nbocc(resultsav,'=') >1){ |
|
cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' ' |
|
resultsav= V4=1 V5=25.1 V3=0 strb=V3=0 stra= V4=1 V5=25.1 */ |
|
cutl(strc,strd,strb,'='); /* strb:V4=1 strc=1 strd=V4 */ |
|
}else |
|
cutl(strc,strd,resultsav,'='); |
Tvalsel[k]=atof(strc); /* 1 */ |
Tvalsel[k]=atof(strc); /* 1 */ |
|
|
cutl(strc,stre,strd,'V'); /* strd='V4' strc=4 stre='V' */; |
cutl(strc,stre,strd,'V'); /* strd='V4' strc=4 stre='V' */; |
Tvarsel[k]=atoi(strc); |
Tvarsel[k]=atoi(strc); |
/* Typevarsel[k]=1; /\* 1 for age product *\/ */ |
/* Typevarsel[k]=1; /\* 1 for age product *\/ */ |
Line 7889 int decoderesult ( char resultline[])
|
Line 7942 int decoderesult ( char resultline[])
|
if (nbocc(stra,'=') >0) |
if (nbocc(stra,'=') >0) |
strcpy(resultsav,stra); /* and analyzes it */ |
strcpy(resultsav,stra); /* and analyzes it */ |
} |
} |
|
/* Checking if no missing or useless values in comparison of current model needs */ |
|
for(k1=1; k1<= cptcovt ;k1++){ /* model line */ |
|
if(Typevar[k1]==0){ |
|
match=0; |
|
for(k2=1; k2 <=j;k2++){ |
|
if(Tvar[k1]==Tvarsel[k2]) { |
|
modelresult[k2]=k1; |
|
match=1; |
|
break; |
|
} |
|
} |
|
if(match == 0){ |
|
printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model); |
|
} |
|
} |
|
} |
|
|
|
for(k2=1; k2 <=j;k2++){ /* result line */ |
|
match=0; |
|
for(k1=1; k1<= cptcovt ;k1++){ /* model line */ |
|
if(Typevar[k1]==0){ |
|
if(Tvar[k1]==Tvarsel[k2]) { |
|
resultmodel[k1]=k2; |
|
++match; |
|
} |
|
} |
|
} |
|
if(match == 0){ |
|
printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model); |
|
}else if(match > 1){ |
|
printf("Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model); |
|
} |
|
} |
|
|
|
/* We need to deduce which combination number is chosen and save quantitative values */ |
|
|
return (0); |
return (0); |
} |
} |
int selected( int kvar){ /* Selected combination of covariates */ |
int selected( int kvar){ /* Selected combination of covariates */ |
Line 7936 int decodemodel( char model[], int lasto
|
Line 8025 int decodemodel( char model[], int lasto
|
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 8020 int decodemodel( char model[], int lasto
|
Line 8109 int decodemodel( char model[], int lasto
|
} |
} |
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 */ |
Typevar[k]=1; /* 1 for age product */ |
Typevar[k]=1; /* 1 for age product */ |
cptcovage++; /* Sums the number of covariates which include age as a product */ |
cptcovage++; /* Sums the number of covariates which include age as a product */ |
Tage[cptcovage]=k; /* Tvar[4]=3, Tage[1] = 4 or V1+V1*age Tvar[2]=1, Tage[1]=2 */ |
Tage[cptcovage]=k; /* Tvar[4]=3, Tage[1] = 4 or V1+V1*age Tvar[2]=1, Tage[1]=2 */ |
/*printf("stre=%s ", stre);*/ |
/*printf("stre=%s ", stre);*/ |
} else if (strcmp(strd,"age")==0) { /* or age*Vn */ |
} else if (strcmp(strd,"age")==0) { /* or age*Vn */ |
cptcovprod--; |
cptcovprod--; |
cutl(stre,strb,strc,'V'); |
cutl(stre,strb,strc,'V'); |
Tvar[k]=atoi(stre); |
Tvar[k]=atoi(stre); |
Typevar[k]=1; /* 1 for age product */ |
Typevar[k]=1; /* 1 for age product */ |
cptcovage++; |
cptcovage++; |
Tage[cptcovage]=k; |
Tage[cptcovage]=k; |
} else { /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2 strb=V3*V2*/ |
} else { /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2 strb=V3*V2*/ |
/* loops on k1=1 (V3*V2) and k1=2 V4*V3 */ |
/* loops on k1=1 (V3*V2) and k1=2 V4*V3 */ |
cptcovn++; |
cptcovn++; |
cptcovprodnoage++;k1++; |
cptcovprodnoage++;k1++; |
cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ |
cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ |
Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* For model-covariate k tells which data-covariate to use but |
Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* For model-covariate k tells which data-covariate to use but |
because this model-covariate is a construction we invent a new column |
because this model-covariate is a construction we invent a new column |
which is after existing variables ncovcol+nqv+ntv+nqtv + k1 |
which is after existing variables ncovcol+nqv+ntv+nqtv + k1 |
If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2 |
If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2 |
Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */ |
Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */ |
Typevar[k]=2; /* 2 for double fixed dummy covariates */ |
Typevar[k]=2; /* 2 for double fixed dummy covariates */ |
cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ |
cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ |
Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for 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 */ |
Tposprod[k]=k1; /* Tpsprod[3]=1, Tposprod[2]=5 */ |
Tposprod[k]=k1; /* Tpsprod[3]=1, Tposprod[2]=5 */ |
Tvard[k1][1] =atoi(strc); /* m 1 for V1*/ |
Tvard[k1][1] =atoi(strc); /* m 1 for V1*/ |
Tvard[k1][2] =atoi(stre); /* n 4 for V4*/ |
Tvard[k1][2] =atoi(stre); /* n 4 for V4*/ |
k2=k2+2; /* k2 is initialize to -1, We want to store the n and m in Vn*Vm at the end of Tvar */ |
k2=k2+2; /* k2 is initialize to -1, We want to store the n and m in Vn*Vm at the end of Tvar */ |
/* Tvar[cptcovt+k2]=Tvard[k1][1]; /\* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) *\/ */ |
/* Tvar[cptcovt+k2]=Tvard[k1][1]; /\* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) *\/ */ |
/* Tvar[cptcovt+k2+1]=Tvard[k1][2]; /\* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) *\/ */ |
/* Tvar[cptcovt+k2+1]=Tvard[k1][2]; /\* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) *\/ */ |
/*ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2, Tvar[3]=5, Tvar[4]=6, cptcovt=5 */ |
/*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 */ |
/* 1 2 3 4 5 | Tvar[5+1)=1, Tvar[7]=2 */ |
for (i=1; i<=lastobs;i++){ |
for (i=1; i<=lastobs;i++){ |
/* Computes the new covariate which is a product of |
/* Computes the new covariate which is a product of |
covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */ |
covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */ |
covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i]; |
covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i]; |
} |
} |
} /* End age is not in the model */ |
} /* End age is not in the model */ |
} /* End if model includes a product */ |
} /* End if model includes a product */ |
else { /* no more sum */ |
else { /* no more sum */ |
/*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/ |
/*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/ |
/* scanf("%d",i);*/ |
/* scanf("%d",i);*/ |
cutl(strd,strc,strb,'V'); |
cutl(strd,strc,strb,'V'); |
ks++; /**< Number of simple covariates dummy or quantitative, fixe or varying */ |
ks++; /**< Number of simple covariates dummy or quantitative, fixe or varying */ |
cptcovn++; /** V4+V3+V5: V4 and V3 timevarying dummy covariates, V5 timevarying quantitative */ |
cptcovn++; /** V4+V3+V5: V4 and V3 timevarying dummy covariates, V5 timevarying quantitative */ |
Tvar[k]=atoi(strd); |
Tvar[k]=atoi(strd); |
Typevar[k]=0; /* 0 for simple covariates */ |
Typevar[k]=0; /* 0 for simple covariates */ |
} |
} |
strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */ |
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 */ |
Line 8120 Typevar: 0 for simple covariate (dummy,
|
Line 8209 Typevar: 0 for simple covariate (dummy,
|
Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\ |
Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\ |
Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model); |
Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model); |
|
|
for(k=1, ncovf=0, ncovv=0, ncova=0, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0;k<=cptcovt; k++){ /* or cptocvt */ |
for(k=1, ncovf=0, nsd=0, nsq=0, ncovv=0, ncova=0, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0;k<=cptcovt; k++){ /* or cptocvt */ |
if (Tvar[k] <=ncovcol && (Typevar[k]==0 || Typevar[k]==2)){ /* Simple or product fixed dummy (<=ncovcol) covariates */ |
if (Tvar[k] <=ncovcol && Typevar[k]==0 ){ /* Simple fixed dummy (<=ncovcol) covariates */ |
Fixed[k]= 0; |
Fixed[k]= 0; |
Dummy[k]= 0; |
Dummy[k]= 0; |
ncoveff++; |
ncoveff++; |
ncovf++; |
ncovf++; |
modell[k].maintype= FTYPE; |
nsd++; |
TvarF[ncovf]=Tvar[k]; |
modell[k].maintype= FTYPE; |
TvarFind[ncovf]=k; |
TvarsD[nsd]=Tvar[k]; |
|
TvarsDind[nsd]=k; |
|
TvarF[ncovf]=Tvar[k]; |
|
TvarFind[ncovf]=k; |
|
TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
|
TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
|
}else if( Tvar[k] <=ncovcol && Typevar[k]==2){ /* Product of fixed dummy (<=ncovcol) covariates */ |
|
Fixed[k]= 0; |
|
Dummy[k]= 0; |
|
ncoveff++; |
|
ncovf++; |
|
modell[k].maintype= FTYPE; |
|
TvarF[ncovf]=Tvar[k]; |
|
TvarFind[ncovf]=k; |
TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
}else if( Tvar[k] <=ncovcol+nqv && Typevar[k]==0){ /* Remind that product Vn*Vm are added in k*/ /* Only simple fixed quantitative variable */ |
}else if( Tvar[k] <=ncovcol+nqv && Typevar[k]==0){ /* Remind that product Vn*Vm are added in k*/ /* Only simple fixed quantitative variable */ |
Fixed[k]= 0; |
Fixed[k]= 0; |
Dummy[k]= 1; |
Dummy[k]= 1; |
nqfveff++; |
nqfveff++; |
modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
modell[k].subtype= FQ; |
modell[k].subtype= FQ; |
|
nsq++; |
|
TvarsQ[nsq]=Tvar[k]; |
|
TvarsQind[nsq]=k; |
ncovf++; |
ncovf++; |
TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
TvarFQ[nqfveff]=Tvar[k]-ncovcol; /* TvarFQ[1]=V2-1=1st in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
TvarFQ[nqfveff]=Tvar[k]-ncovcol; /* TvarFQ[1]=V2-1=1st in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
TvarFQind[nqfveff]=k; /* TvarFQind[1]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
TvarFQind[nqfveff]=k; /* TvarFQind[1]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
}else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){ |
}else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){/* Only simple time varying variables */ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 0; |
Dummy[k]= 0; |
ntveff++; /* Only simple time varying dummy variable */ |
ntveff++; /* Only simple time varying dummy variable */ |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VD; |
modell[k].subtype= VD; |
ncovv++; /* Only simple time varying variables */ |
nsd++; |
TvarV[ncovv]=Tvar[k]; |
TvarsD[nsd]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarsDind[nsd]=k; |
|
ncovv++; /* Only simple time varying variables */ |
|
TvarV[ncovv]=Tvar[k]; |
|
TvarVind[ncovv]=k; |
TvarVD[ntveff]=Tvar[k]; /* TvarVD[1]=V4 TvarVD[2]=V3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying dummy variable */ |
TvarVD[ntveff]=Tvar[k]; /* TvarVD[1]=V4 TvarVD[2]=V3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying dummy variable */ |
TvarVDind[ntveff]=k; /* TvarVDind[1]=2 TvarVDind[2]=3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying dummy variable */ |
TvarVDind[ntveff]=k; /* TvarVDind[1]=2 TvarVDind[2]=3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying dummy variable */ |
printf("Quasi Tmodelind[%d]=%d,Tvar[Tmodelind[%d]]=V%d, ncovcol=%d, nqv=%d,Tvar[k]- ncovcol-nqv=%d\n",ntveff,k,ntveff,Tvar[k], ncovcol, nqv,Tvar[k]- ncovcol-nqv); |
printf("Quasi Tmodelind[%d]=%d,Tvar[Tmodelind[%d]]=V%d, ncovcol=%d, nqv=%d,Tvar[k]- ncovcol-nqv=%d\n",ntveff,k,ntveff,Tvar[k], ncovcol, nqv,Tvar[k]- ncovcol-nqv); |
printf("Quasi TmodelInvind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv); |
printf("Quasi TmodelInvind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv); |
}else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv && Typevar[k]==0){ /* Only simple time varying quantitative variable V5*/ |
}else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv && Typevar[k]==0){ /* Only simple time varying quantitative variable V5*/ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
nqtveff++; |
nqtveff++; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VQ; |
modell[k].subtype= VQ; |
ncovv++; /* Only simple time varying variables */ |
ncovv++; /* Only simple time varying variables */ |
TvarV[ncovv]=Tvar[k]; |
nsq++; |
TvarVind[ncovv]=k; |
TvarsQ[nsq]=Tvar[k]; |
|
TvarsQind[nsq]=k; |
|
TvarV[ncovv]=Tvar[k]; |
|
TvarVind[ncovv]=k; |
TvarVQ[nqtveff]=Tvar[k]; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
TvarVQ[nqtveff]=Tvar[k]; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
TvarVQind[nqtveff]=k; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
TvarVQind[nqtveff]=k; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
TmodelInvQind[nqtveff]=Tvar[k]- ncovcol-nqv-ntv;/* Only simple time varying quantitative variable */ |
TmodelInvQind[nqtveff]=Tvar[k]- ncovcol-nqv-ntv;/* Only simple time varying quantitative variable */ |
/* Tmodeliqind[k]=nqtveff;/\* Only simple time varying quantitative variable *\/ */ |
/* Tmodeliqind[k]=nqtveff;/\* Only simple time varying quantitative variable *\/ */ |
printf("Quasi TmodelQind[%d]=%d,Tvar[TmodelQind[%d]]=V%d, ncovcol=%d, nqv=%d, ntv=%d,Tvar[k]- ncovcol-nqv-ntv=%d\n",nqtveff,k,nqtveff,Tvar[k], ncovcol, nqv, ntv, Tvar[k]- ncovcol-nqv-ntv); |
printf("Quasi TmodelQind[%d]=%d,Tvar[TmodelQind[%d]]=V%d, ncovcol=%d, nqv=%d, ntv=%d,Tvar[k]- ncovcol-nqv-ntv=%d\n",nqtveff,k,nqtveff,Tvar[k], ncovcol, nqv, ntv, Tvar[k]- ncovcol-nqv-ntv); |
printf("Quasi TmodelInvQind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv-ntv); |
printf("Quasi TmodelInvQind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv-ntv); |
}else if (Typevar[k] == 1) { /* product with age */ |
}else if (Typevar[k] == 1) { /* product with age */ |
ncova++; |
ncova++; |
TvarA[ncova]=Tvar[k]; |
TvarA[ncova]=Tvar[k]; |
TvarAind[ncova]=k; |
TvarAind[ncova]=k; |
if (Tvar[k] <=ncovcol ){ /* Product age with fixed dummy covariatee */ |
if (Tvar[k] <=ncovcol ){ /* Product age with fixed dummy covariatee */ |
Fixed[k]= 2; |
Fixed[k]= 2; |
Dummy[k]= 2; |
Dummy[k]= 2; |
modell[k].maintype= ATYPE; |
modell[k].maintype= ATYPE; |
modell[k].subtype= APFD; |
modell[k].subtype= APFD; |
/* ncoveff++; */ |
/* ncoveff++; */ |
}else if( Tvar[k] <=ncovcol+nqv) { /* Remind that product Vn*Vm are added in k*/ |
}else if( Tvar[k] <=ncovcol+nqv) { /* Remind that product Vn*Vm are added in k*/ |
Fixed[k]= 2; |
Fixed[k]= 2; |
Dummy[k]= 3; |
Dummy[k]= 3; |
modell[k].maintype= ATYPE; |
modell[k].maintype= ATYPE; |
modell[k].subtype= APFQ; /* Product age * fixed quantitative */ |
modell[k].subtype= APFQ; /* Product age * fixed quantitative */ |
/* nqfveff++; /\* Only simple fixed quantitative variable *\/ */ |
/* nqfveff++; /\* Only simple fixed quantitative variable *\/ */ |
}else if( Tvar[k] <=ncovcol+nqv+ntv ){ |
}else if( Tvar[k] <=ncovcol+nqv+ntv ){ |
Fixed[k]= 3; |
Fixed[k]= 3; |
Dummy[k]= 2; |
Dummy[k]= 2; |
modell[k].maintype= ATYPE; |
modell[k].maintype= ATYPE; |
modell[k].subtype= APVD; /* Product age * varying dummy */ |
modell[k].subtype= APVD; /* Product age * varying dummy */ |
/* ntveff++; /\* Only simple time varying dummy variable *\/ */ |
/* ntveff++; /\* Only simple time varying dummy variable *\/ */ |
}else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv){ |
}else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv){ |
Fixed[k]= 3; |
Fixed[k]= 3; |
Dummy[k]= 3; |
Dummy[k]= 3; |
modell[k].maintype= ATYPE; |
modell[k].maintype= ATYPE; |
modell[k].subtype= APVQ; /* Product age * varying quantitative */ |
modell[k].subtype= APVQ; /* Product age * varying quantitative */ |
/* nqtveff++;/\* Only simple time varying quantitative variable *\/ */ |
/* nqtveff++;/\* Only simple time varying quantitative variable *\/ */ |
} |
} |
}else if (Typevar[k] == 2) { /* product without age */ |
}else if (Typevar[k] == 2) { /* product without age */ |
k1=Tposprod[k]; |
k1=Tposprod[k]; |
if(Tvard[k1][1] <=ncovcol){ |
if(Tvard[k1][1] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 0; |
Dummy[k]= 0; |
modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
modell[k].subtype= FPDD; /* Product fixed dummy * fixed dummy */ |
modell[k].subtype= FPDD; /* Product fixed dummy * fixed dummy */ |
ncovf++; /* Fixed variables without age */ |
ncovf++; /* Fixed variables without age */ |
TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
Fixed[k]= 0; /* or 2 ?*/ |
Fixed[k]= 0; /* or 2 ?*/ |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
modell[k].subtype= FPDQ; /* Product fixed dummy * fixed quantitative */ |
modell[k].subtype= FPDQ; /* Product fixed dummy * fixed quantitative */ |
ncovf++; /* Varying variables without age */ |
ncovf++; /* Varying variables without age */ |
TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 0; |
Dummy[k]= 0; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDD; /* Product fixed dummy * varying dummy */ |
modell[k].subtype= VPDD; /* Product fixed dummy * varying dummy */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDQ; /* Product fixed dummy * varying quantitative */ |
modell[k].subtype= VPDQ; /* Product fixed dummy * varying quantitative */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
} |
} |
}else if(Tvard[k1][1] <=ncovcol+nqv){ |
}else if(Tvard[k1][1] <=ncovcol+nqv){ |
if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
Fixed[k]= 0; /* or 2 ?*/ |
Fixed[k]= 0; /* or 2 ?*/ |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
modell[k].subtype= FPDQ; /* Product fixed quantitative * fixed dummy */ |
modell[k].subtype= FPDQ; /* Product fixed quantitative * fixed dummy */ |
ncovf++; /* Fixed variables without age */ |
ncovf++; /* Fixed variables without age */ |
TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDQ; /* Product fixed quantitative * varying dummy */ |
modell[k].subtype= VPDQ; /* Product fixed quantitative * varying dummy */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPQQ; /* Product fixed quantitative * varying quantitative */ |
modell[k].subtype= VPQQ; /* Product fixed quantitative * varying quantitative */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
} |
} |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv){ |
if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDD; /* Product time varying dummy * fixed dummy */ |
modell[k].subtype= VPDD; /* Product time varying dummy * fixed dummy */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDQ; /* Product time varying dummy * fixed quantitative */ |
modell[k].subtype= VPDQ; /* Product time varying dummy * fixed quantitative */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 0; |
Dummy[k]= 0; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDD; /* Product time varying dummy * time varying dummy */ |
modell[k].subtype= VPDD; /* Product time varying dummy * time varying dummy */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDQ; /* Product time varying dummy * time varying quantitative */ |
modell[k].subtype= VPDQ; /* Product time varying dummy * time varying quantitative */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
} |
} |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){ |
if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDQ; /* Product time varying quantitative * fixed dummy */ |
modell[k].subtype= VPDQ; /* Product time varying quantitative * fixed dummy */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPQQ; /* Product time varying quantitative * fixed quantitative */ |
modell[k].subtype= VPQQ; /* Product time varying quantitative * fixed quantitative */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDQ; /* Product time varying quantitative * time varying dummy */ |
modell[k].subtype= VPDQ; /* Product time varying quantitative * time varying dummy */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPQQ; /* Product time varying quantitative * time varying quantitative */ |
modell[k].subtype= VPQQ; /* Product time varying quantitative * time varying quantitative */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
} |
} |
}else{ |
}else{ |
printf("Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
printf("Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
fprintf(ficlog,"Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
fprintf(ficlog,"Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
} /* end k1 */ |
} /* end k1 */ |
}else{ |
}else{ |
printf("Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
printf("Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
Line 8348 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 8459 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
for(k1=1; k1<= cptcovt;k1++){ |
for(k1=1; k1<= cptcovt;k1++){ |
for(k2=1; k2 <k1;k2++){ |
for(k2=1; k2 <k1;k2++){ |
if((Typevar[k1]==Typevar[k2]) && (Fixed[Tvar[k1]]==Fixed[Tvar[k2]]) && (Dummy[Tvar[k1]]==Dummy[Tvar[k2]] )){ |
if((Typevar[k1]==Typevar[k2]) && (Fixed[Tvar[k1]]==Fixed[Tvar[k2]]) && (Dummy[Tvar[k1]]==Dummy[Tvar[k2]] )){ |
if((Typevar[k1] == 0 || Typevar[k1] == 1)){ /* Simple or age product */ |
if((Typevar[k1] == 0 || Typevar[k1] == 1)){ /* Simple or age product */ |
if(Tvar[k1]==Tvar[k2]){ |
if(Tvar[k1]==Tvar[k2]){ |
printf("Error duplication in the model=%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); |
printf("Error duplication in the model=%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); |
fprintf(ficlog,"Error duplication in the model=%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog); |
fprintf(ficlog,"Error duplication in the model=%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog); |
return(1); |
return(1); |
} |
} |
}else if (Typevar[k1] ==2){ |
}else if (Typevar[k1] ==2){ |
k3=Tposprod[k1]; |
k3=Tposprod[k1]; |
k4=Tposprod[k2]; |
k4=Tposprod[k2]; |
if( ((Tvard[k3][1]== Tvard[k4][1])&&(Tvard[k3][2]== Tvard[k4][2])) || ((Tvard[k3][1]== Tvard[k4][2])&&(Tvard[k3][2]== Tvard[k4][1])) ){ |
if( ((Tvard[k3][1]== Tvard[k4][1])&&(Tvard[k3][2]== Tvard[k4][2])) || ((Tvard[k3][1]== Tvard[k4][2])&&(Tvard[k3][2]== Tvard[k4][1])) ){ |
printf("Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); |
printf("Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); |
fprintf(ficlog,"Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog); |
fprintf(ficlog,"Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog); |
return(1); |
return(1); |
} |
} |
} |
} |
} |
} |
} |
} |
} |
} |
printf("ncoveff=%d, nqfveff=%d, ntveff=%d, nqtveff=%d, cptcovn=%d\n",ncoveff,nqfveff,ntveff,nqtveff,cptcovn); |
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); |
fprintf(ficlog,"ncoveff=%d, nqfveff=%d, ntveff=%d, nqtveff=%d, cptcovn=%d\n",ncoveff,nqfveff,ntveff,nqtveff,cptcovn); |
printf("ncovf=%d, ncovv=%d, ncova=%d\n",ncovf,ncovv,ncova); |
printf("ncovf=%d, ncovv=%d, ncova=%d, nsd=%d, nsq=%d\n",ncovf,ncovv,ncova,nsd,nsq); |
fprintf(ficlog,"ncovf=%d, ncovv=%d, ncova=%d\n",ncovf,ncovv,ncova); |
fprintf(ficlog,"ncovf=%d, ncovv=%d, ncova=%d, nsd=%d, nsq=%d\n",ncovf,ncovv,ncova,nsd, nsq); |
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: "); |
Line 8709 int prevalence_limit(double *p, double *
|
Line 8820 int prevalence_limit(double *p, double *
|
agelim=agemaxpar; |
agelim=agemaxpar; |
|
|
/* i1=pow(2,ncoveff); */ |
/* i1=pow(2,ncoveff); */ |
i1=pow(2,cptcoveff); /* Number of dummy covariates */ |
i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */ |
if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
|
|
for(k=1; k<=i1;k++){ |
for(k=1; k<=i1;k++){ |
Line 9052 int main(int argc, char *argv[])
|
Line 9163 int main(int argc, char *argv[])
|
char line[MAXLINE]; |
char line[MAXLINE]; |
char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE]; |
char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE]; |
|
|
char model[MAXLINE], modeltemp[MAXLINE]; |
char modeltemp[MAXLINE]; |
char resultline[MAXLINE]; |
char resultline[MAXLINE]; |
|
|
char pathr[MAXLINE], pathimach[MAXLINE]; |
char pathr[MAXLINE], pathimach[MAXLINE]; |
Line 9419 int main(int argc, char *argv[])
|
Line 9530 int main(int argc, char *argv[])
|
|
|
param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); |
param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); |
for(i=1; i <=nlstate; i++){ |
for(i=1; i <=nlstate; i++){ |
j=0; |
j=0; |
for(jj=1; jj <=nlstate+ndeath; jj++){ |
for(jj=1; jj <=nlstate+ndeath; jj++){ |
if(jj==i) continue; |
if(jj==i) continue; |
j++; |
j++; |
fscanf(ficpar,"%1d%1d",&i1,&j1); |
fscanf(ficpar,"%1d%1d",&i1,&j1); |
if ((i1 != i) || (j1 != jj)){ |
if ((i1 != i) || (j1 != jj)){ |
printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \ |
printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \ |
It might be a problem of design; if ncovcol and the model are correct\n \ |
It might be a problem of design; if ncovcol and the model are correct\n \ |
run imach with mle=-1 to get a correct template of the parameter file.\n",numlinepar, i,j, i1, j1); |
run imach with mle=-1 to get a correct template of the parameter file.\n",numlinepar, i,j, i1, j1); |
exit(1); |
exit(1); |
} |
} |
fprintf(ficparo,"%1d%1d",i1,j1); |
fprintf(ficparo,"%1d%1d",i1,j1); |
if(mle==1) |
if(mle==1) |
printf("%1d%1d",i,jj); |
printf("%1d%1d",i,jj); |
fprintf(ficlog,"%1d%1d",i,jj); |
fprintf(ficlog,"%1d%1d",i,jj); |
for(k=1; k<=ncovmodel;k++){ |
for(k=1; k<=ncovmodel;k++){ |
fscanf(ficpar," %lf",¶m[i][j][k]); |
fscanf(ficpar," %lf",¶m[i][j][k]); |
if(mle==1){ |
if(mle==1){ |
printf(" %lf",param[i][j][k]); |
printf(" %lf",param[i][j][k]); |
fprintf(ficlog," %lf",param[i][j][k]); |
fprintf(ficlog," %lf",param[i][j][k]); |
} |
} |
else |
else |
fprintf(ficlog," %lf",param[i][j][k]); |
fprintf(ficlog," %lf",param[i][j][k]); |
fprintf(ficparo," %lf",param[i][j][k]); |
fprintf(ficparo," %lf",param[i][j][k]); |
} |
} |
fscanf(ficpar,"\n"); |
fscanf(ficpar,"\n"); |
numlinepar++; |
numlinepar++; |
if(mle==1) |
if(mle==1) |
printf("\n"); |
printf("\n"); |
fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
fprintf(ficparo,"\n"); |
fprintf(ficparo,"\n"); |
} |
} |
} |
} |
fflush(ficlog); |
fflush(ficlog); |
|
|
/* Reads scales values */ |
/* Reads scales values */ |
p=param[1][1]; |
p=param[1][1]; |
|
|
Line 9470 run imach with mle=-1 to get a correct t
|
Line 9581 run imach with mle=-1 to get a correct t
|
|
|
for(i=1; i <=nlstate; i++){ |
for(i=1; i <=nlstate; i++){ |
for(j=1; j <=nlstate+ndeath-1; j++){ |
for(j=1; j <=nlstate+ndeath-1; j++){ |
fscanf(ficpar,"%1d%1d",&i1,&j1); |
fscanf(ficpar,"%1d%1d",&i1,&j1); |
if ( (i1-i) * (j1-j) != 0){ |
if ( (i1-i) * (j1-j) != 0){ |
printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1); |
printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1); |
exit(1); |
exit(1); |
} |
} |
printf("%1d%1d",i,j); |
printf("%1d%1d",i,j); |
fprintf(ficparo,"%1d%1d",i1,j1); |
fprintf(ficparo,"%1d%1d",i1,j1); |
fprintf(ficlog,"%1d%1d",i1,j1); |
fprintf(ficlog,"%1d%1d",i1,j1); |
for(k=1; k<=ncovmodel;k++){ |
for(k=1; k<=ncovmodel;k++){ |
fscanf(ficpar,"%le",&delti3[i][j][k]); |
fscanf(ficpar,"%le",&delti3[i][j][k]); |
printf(" %le",delti3[i][j][k]); |
printf(" %le",delti3[i][j][k]); |
fprintf(ficparo," %le",delti3[i][j][k]); |
fprintf(ficparo," %le",delti3[i][j][k]); |
fprintf(ficlog," %le",delti3[i][j][k]); |
fprintf(ficlog," %le",delti3[i][j][k]); |
} |
} |
fscanf(ficpar,"\n"); |
fscanf(ficpar,"\n"); |
numlinepar++; |
numlinepar++; |
printf("\n"); |
printf("\n"); |
fprintf(ficparo,"\n"); |
fprintf(ficparo,"\n"); |
fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
} |
} |
} |
} |
fflush(ficlog); |
fflush(ficlog); |
|
|
/* Reads covariance matrix */ |
/* Reads covariance matrix */ |
delti=delti3[1][1]; |
delti=delti3[1][1]; |
|
|
Line 9582 Please run with mle=-1 to get a correct
|
Line 9693 Please run with mle=-1 to get a correct
|
agedc=vector(1,n); |
agedc=vector(1,n); |
cod=ivector(1,n); |
cod=ivector(1,n); |
for(i=1;i<=n;i++){ |
for(i=1;i<=n;i++){ |
num[i]=0; |
num[i]=0; |
moisnais[i]=0; |
moisnais[i]=0; |
annais[i]=0; |
annais[i]=0; |
moisdc[i]=0; |
moisdc[i]=0; |
andc[i]=0; |
andc[i]=0; |
agedc[i]=0; |
agedc[i]=0; |
cod[i]=0; |
cod[i]=0; |
weight[i]=1.0; /* Equal weights, 1 by default */ |
weight[i]=1.0; /* Equal weights, 1 by default */ |
} |
} |
mint=matrix(1,maxwav,1,n); |
mint=matrix(1,maxwav,1,n); |
anint=matrix(1,maxwav,1,n); |
anint=matrix(1,maxwav,1,n); |
s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */ |
s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */ |
Line 9603 Please run with mle=-1 to get a correct
|
Line 9714 Please run with mle=-1 to get a correct
|
goto end; |
goto end; |
|
|
/* Calculation of the number of parameters from char model */ |
/* Calculation of the number of parameters from char model */ |
/* 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 |
k=4 (age*V3) Tvar[k=4]= 3 (from V3) Tag[cptcovage=1]=4 |
k=4 (age*V3) Tvar[k=4]= 3 (from V3) Tag[cptcovage=1]=4 |
k=3 V4 Tvar[k=3]= 4 (from V4) |
k=3 V4 Tvar[k=3]= 4 (from V4) |
k=2 V1 Tvar[k=2]= 1 (from V1) |
k=2 V1 Tvar[k=2]= 1 (from V1) |
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. */ |
|
TvarsDind=ivector(1,NCOVMAX); /* */ |
|
TvarsD=ivector(1,NCOVMAX); /* */ |
|
TvarsQind=ivector(1,NCOVMAX); /* */ |
|
TvarsQ=ivector(1,NCOVMAX); /* */ |
TvarF=ivector(1,NCOVMAX); /* */ |
TvarF=ivector(1,NCOVMAX); /* */ |
TvarFind=ivector(1,NCOVMAX); /* */ |
TvarFind=ivector(1,NCOVMAX); /* */ |
TvarV=ivector(1,NCOVMAX); /* */ |
TvarV=ivector(1,NCOVMAX); /* */ |
Line 10849 Please run with mle=-1 to get a correct
|
Line 10964 Please run with mle=-1 to get a correct
|
free_ivector(Fixed,-1,NCOVMAX); |
free_ivector(Fixed,-1,NCOVMAX); |
free_ivector(Typevar,-1,NCOVMAX); |
free_ivector(Typevar,-1,NCOVMAX); |
free_ivector(Tvar,1,NCOVMAX); |
free_ivector(Tvar,1,NCOVMAX); |
|
free_ivector(TvarsQ,1,NCOVMAX); |
|
free_ivector(TvarsQind,1,NCOVMAX); |
|
free_ivector(TvarsD,1,NCOVMAX); |
|
free_ivector(TvarsDind,1,NCOVMAX); |
free_ivector(TvarFD,1,NCOVMAX); |
free_ivector(TvarFD,1,NCOVMAX); |
free_ivector(TvarFDind,1,NCOVMAX); |
free_ivector(TvarFDind,1,NCOVMAX); |
free_ivector(TvarF,1,NCOVMAX); |
free_ivector(TvarF,1,NCOVMAX); |