version 1.337, 2022/09/02 14:26:02
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version 1.341, 2022/09/11 07:58:42
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/* $Id$ |
/* $Id$ |
$State$ |
$State$ |
$Log$ |
$Log$ |
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Revision 1.341 2022/09/11 07:58:42 brouard |
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Summary: Version 0.99r38 |
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After adding change in cotvar. |
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Revision 1.340 2022/09/11 07:53:11 brouard |
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Summary: Version imach 0.99r37 |
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* imach.c (Module): Adding timevarying products of any kinds, |
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should work before shifting cotvar from ncovcol+nqv columns in |
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order to have a correspondance between the column of cotvar and |
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the id of column. |
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Revision 1.339 2022/09/09 17:55:22 brouard |
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Summary: version 0.99r37 |
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* imach.c (Module): Many improvements for fixing products of fixed |
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timevarying as well as fixed * fixed, and test with quantitative |
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covariate. |
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Revision 1.338 2022/09/04 17:40:33 brouard |
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Summary: 0.99r36 |
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* imach.c (Module): Now the easy runs i.e. without result or |
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model=1+age only did not work. The defautl combination should be 1 |
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and not 0 because everything hasn't been tranformed yet. |
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Revision 1.337 2022/09/02 14:26:02 brouard |
Revision 1.337 2022/09/02 14:26:02 brouard |
Summary: version 0.99r35 |
Summary: version 0.99r35 |
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Line 1315 int cptcovprodnoage=0; /**< Number of co
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Line 1342 int cptcovprodnoage=0; /**< Number of co
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int cptcoveff=0; /* Total number of single dummy covariates (fixed or time varying) to vary for printing results (2**cptcoveff combinations of dummies)(computed in tricode as cptcov) */ |
int cptcoveff=0; /* Total number of single dummy covariates (fixed or time varying) to vary for printing results (2**cptcoveff combinations of dummies)(computed in tricode as cptcov) */ |
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 */ |
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int ncovvt=0; /* Total number of effective (wave) varying covariates (dummy or quantitative or products [without age]) 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 */ |
int nsd=0; /**< Total number of single dummy variables (output) */ |
int nsd=0; /**< Total number of single dummy variables (output) */ |
int nsq=0; /**< Total number of single quantitative variables (output) */ |
int nsq=0; /**< Total number of single quantitative variables (output) */ |
Line 1330 int npar=NPARMAX; /* Number of parameter
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Line 1358 int npar=NPARMAX; /* Number of parameter
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int nlstate=2; /* Number of live states */ |
int nlstate=2; /* Number of live states */ |
int ndeath=1; /* Number of dead states */ |
int ndeath=1; /* Number of dead states */ |
int ncovmodel=0, ncovcol=0; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */ |
int ncovmodel=0, ncovcol=0; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */ |
int nqv=0, ntv=0, nqtv=0; /* Total number of quantitative variables, time variable (dummy), quantitative and time variable */ |
int nqv=0, ntv=0, nqtv=0; /* Total number of quantitative variables, time variable (dummy), quantitative and time variable*/ |
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int ncovcolt=0; /* ncovcolt=ncovcol+nqv+ntv+nqtv; total of covariates in the data, not in the model equation*/ |
int popbased=0; |
int popbased=0; |
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int *wav; /* Number of waves for this individuual 0 is possible */ |
int *wav; /* Number of waves for this individuual 0 is possible */ |
Line 1479 double **covar; /**< covar[j,i], value
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Line 1508 double **covar; /**< covar[j,i], value
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* 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 nqv */ |
double **coqvar; /* Fixed quantitative covariate nqv */ |
double ***cotvar; /* Time varying covariate ntv */ |
double ***cotvar; /* Time varying covariate start at ncovcol + nqv + (1 to ntv) */ |
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 */ |
Line 1491 int **nbcode, *Tvar; /**< model=V2 => Tv
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Line 1520 int **nbcode, *Tvar; /**< model=V2 => Tv
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* cptcovn number of covariates (not including constant and age or age*age) = number of plus sign + 1 = 10+1=11 |
* cptcovn number of covariates (not including constant and age or age*age) = number of plus sign + 1 = 10+1=11 |
* For time varying covariate, quanti or dummies |
* For time varying covariate, quanti or dummies |
* cotqvar[wav][iv(1 to nqtv)][i]= [1][12][i]=(V12) quanti |
* cotqvar[wav][iv(1 to nqtv)][i]= [1][12][i]=(V12) quanti |
* cotvar[wav][ntv+iv][i]= [3+(1 to nqtv)][i]=(V12) quanti |
* cotvar[wav][ncovcol+nqv+ iv(1 to nqtv)][i]= [(1 to nqtv)][i]=(V12) quanti |
* cotvar[wav][iv(1 to ntv)][i]= [1][1][i]=(V9) dummies at wav 1 |
* cotvar[wav][iv(1 to ntv)][i]= [1][1][i]=(V9) dummies at wav 1 |
* cotvar[wav][iv(1 to ntv)][i]= [1][2][i]=(V10) dummies at wav 1 |
* cotvar[wav][iv(1 to ntv)][i]= [1][2][i]=(V10) dummies at wav 1 |
* covar[Vk,i], value of the Vkth fixed covariate dummy or quanti for individual i: |
* covar[Vk,i], value of the Vkth fixed covariate dummy or quanti for individual i: |
Line 1517 int **nbcode, *Tvar; /**< model=V2 => Tv
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Line 1546 int **nbcode, *Tvar; /**< model=V2 => Tv
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/*TnsdVar[Tvar] 1 2 3 */ |
/*TnsdVar[Tvar] 1 2 3 */ |
/*Tvaraff[nsd] 4 3 1 */ /* ID of single dummy cova fixed or timevary*/ |
/*Tvaraff[nsd] 4 3 1 */ /* ID of single dummy cova fixed or timevary*/ |
/*TvarsD[nsd] 4 3 1 */ /* ID of single dummy cova fixed or timevary*/ |
/*TvarsD[nsd] 4 3 1 */ /* ID of single dummy cova fixed or timevary*/ |
/*TvarsDind[k] 2 3 9 */ /* position K of single dummy cova */ |
/*TvarsDind[nsd] 2 3 9 */ /* position K of single dummy cova */ |
/* nsq 1 2 */ /* Counting single quantit tv */ |
/* nsq 1 2 */ /* Counting single quantit tv */ |
/* TvarsQ[k] 5 2 */ /* Number of single quantitative cova */ |
/* TvarsQ[k] 5 2 */ /* Number of single quantitative cova */ |
/* TvarsQind 1 6 */ /* position K of single quantitative cova */ |
/* TvarsQind 1 6 */ /* position K of single quantitative cova */ |
Line 1572 int *TvarVD; /* TvarVD[1]=V5 in V5+V4+V3
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Line 1601 int *TvarVD; /* TvarVD[1]=V5 in V5+V4+V3
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int *TvarVDind; /* TvarVDind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
int *TvarVDind; /* TvarVDind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
int *TvarVQ; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
int *TvarVQ; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
int *TvarVQind; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
int *TvarVQind; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
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int *TvarVV; /* We count ncovvt time varying covariates (single or products without age) and put their name into TvarVV */ |
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int *TvarVVind; /* We count ncovvt time varying covariates (single or products without age) and put their name into TvarVV */ |
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/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
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/* model V1+V3+age*V1+age*V3+V1*V3 */ |
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/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
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/* TvarVV={3,1,3}, for V3 and then the product V1*V3 is decomposed into V1 and V3 */ |
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/* TvarVVind={2,5,5}, for V3 and then the product V1*V3 is decomposed into V1 and V3 */ |
int *Tvarsel; /**< Selected covariates for output */ |
int *Tvarsel; /**< Selected covariates for output */ |
double *Tvalsel; /**< Selected modality value of covariate for output */ |
double *Tvalsel; /**< Selected modality value of covariate for output */ |
int *Typevar; /**< 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */ |
int *Typevar; /**< 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */ |
Line 2510 void powell(double p[], double **xi, int
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Line 2545 void powell(double p[], double **xi, int
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xits=vector(1,n); |
xits=vector(1,n); |
*fret=(*func)(p); |
*fret=(*func)(p); |
for (j=1;j<=n;j++) pt[j]=p[j]; |
for (j=1;j<=n;j++) pt[j]=p[j]; |
rcurr_time = time(NULL); |
rcurr_time = time(NULL); |
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fp=(*fret); /* Initialisation */ |
for (*iter=1;;++(*iter)) { |
for (*iter=1;;++(*iter)) { |
ibig=0; |
ibig=0; |
del=0.0; |
del=0.0; |
Line 2824 void powell(double p[], double **xi, int
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Line 2860 void powell(double p[], double **xi, int
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double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij, int nres) |
double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij, int nres) |
{ |
{ |
/**< Computes the prevalence limit in each live state at age x and for covariate combination ij |
/**< Computes the prevalence limit in each live state at age x and for covariate combination ij . Nicely done |
* (and selected quantitative values in nres) |
* (and selected quantitative values in nres) |
* by left multiplying the unit |
* 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 |
Line 3272 double **pmij(double **ps, double *cov,
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Line 3308 double **pmij(double **ps, double *cov,
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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++){ |
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/* printf("debug1 %d %d ps=%lf exp(ps)=%lf \n",i,j,ps[i][j],exp(ps[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); */ |
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} |
} |
for(j=i+1; j<=nlstate+ndeath; j++){ |
for(j=i+1; j<=nlstate+ndeath; j++){ |
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/* printf("debug2 %d %d ps=%lf exp(ps)=%lf \n",i,j,ps[i][j],exp(ps[i][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); */ |
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} |
} |
/* 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.); |
Line 3855 double func( double *x)
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Line 3891 double func( double *x)
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{ |
{ |
int i, ii, j, k, mi, d, kk, kf=0; |
int i, ii, j, k, mi, d, kk, kf=0; |
int ioffset=0; |
int ioffset=0; |
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int ipos=0,iposold=0,ncovv=0; |
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double cotvarv, cotvarvold; |
double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; |
double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; |
double **out; |
double **out; |
double lli; /* Individual log likelihood */ |
double lli; /* Individual log likelihood */ |
Line 3902 double func( double *x)
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Line 3941 double func( double *x)
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mw[mi][i] is real wave of the mi th effectve wave */ |
mw[mi][i] is real wave of the mi th effectve wave */ |
/* Then statuses are computed at each begin and end of an effective wave s1=s[ mw[mi][i] ][i]; |
/* Then statuses are computed at each begin and end of an effective wave s1=s[ mw[mi][i] ][i]; |
s2=s[mw[mi+1][i]][i]; |
s2=s[mw[mi+1][i]][i]; |
And the iv th varying covariate is the cotvar[mw[mi+1][i]][iv][i] |
And the iv th varying covariate is the cotvar[mw[mi+1][i]][iv][i] because now is moved after nvocol+nqv |
But if the variable is not in the model TTvar[iv] is the real variable effective in the model: |
But if the variable is not in the model TTvar[iv] is the real variable effective in the model: |
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++){ /* Varying with waves */ |
for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */ |
/* Wave varying (but not age varying) */ |
/* Wave varying (but not age varying) */ |
for(k=1; k <= ncovv ; k++){ /* Varying covariates in the model (single and product but no age )"V5+V4+V3+V4*V3+V5*age+V1*age+V1" +TvarVind 1,2,3,4(V4*V3) Tvar[1]@7{5, 4, 3, 6, 5, 1, 1 ; 6 because the created covar is after V5 and is 6, minus 1+1, 3,2,1,4 positions in cotvar*/ |
/* for(k=1; k <= ncovv ; k++){ /\* Varying covariates in the model (single and product but no age )"V5+V4+V3+V4*V3+V5*age+V1*age+V1" +TvarVind 1,2,3,4(V4*V3) Tvar[1]@7{5, 4, 3, 6, 5, 1, 1 ; 6 because the created covar is after V5 and is 6, minus 1+1, 3,2,1,4 positions in cotvar*\/ */ |
/* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; but where is the crossproduct? */ |
/* /\* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; but where is the crossproduct? *\/ */ |
cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; |
/* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; */ |
} |
/* } */ |
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for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ /* Varying covariates (single and product but no age )*/ |
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itv=TvarVV[ncovv]; /* TvarVV={3, 1, 3} gives the name of each varying covariate */ |
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ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ |
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if(TvarFind[itv]==0){ /* Not a fixed covariate */ |
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cotvarv=cotvar[mw[mi][i]][TvarVV[ncovv]][i]; /* cotvar[wav][ncovcol+nqv+iv][i] */ |
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}else{ /* fixed covariate */ |
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cotvarv=covar[Tvar[TvarFind[itv]]][i]; |
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} |
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if(ipos!=iposold){ /* Not a product or first of a product */ |
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cotvarvold=cotvarv; |
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}else{ /* A second product */ |
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cotvarv=cotvarv*cotvarvold; |
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} |
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iposold=ipos; |
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cov[ioffset+ipos]=cotvarv; |
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} |
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/* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates (single??)*\/ */ |
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/* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; /\* Counting the # varying covariate from 1 to ntveff *\/ */ |
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/* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; */ |
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/* k=ioffset-2-nagesqr-cptcovage+itv; /\* position in simple model *\/ */ |
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/* cov[ioffset+itv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; */ |
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/* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][TmodelInvind[itv]][i]=%f\n", i, mi, itv, TmodelInvind[itv],cotvar[mw[mi][i]][TmodelInvind[itv]][i]); */ |
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/* } */ |
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/* for(iqtv=1; iqtv <= nqtveff; iqtv++){ /\* Varying quantitatives covariates *\/ */ |
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/* iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff *\/ */ |
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/* /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); *\/ */ |
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/* cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]; */ |
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/* } */ |
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/* for products of time varying to be done */ |
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); |
Line 3930 double func( double *x)
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Line 3998 double func( double *x)
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if(!FixedV[Tvar[Tage[kk]]]) |
if(!FixedV[Tvar[Tage[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 */ |
else |
else |
cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]*agexact; |
cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]*agexact; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
} |
} |
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)); |
Line 4026 double func( double *x)
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Line 4094 double func( double *x)
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} |
} |
/*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/ |
/*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/ |
/*if(lli ==000.0)*/ |
/*if(lli ==000.0)*/ |
/*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */ |
/* printf("num[i], i=%d, bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */ |
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; |
Line 4043 double func( double *x)
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Line 4111 double func( double *x)
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cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i]; |
cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i]; |
for(mi=1; mi<= wav[i]-1; mi++){ |
for(mi=1; mi<= wav[i]-1; mi++){ |
for(k=1; k <= ncovv ; k++){ |
for(k=1; k <= ncovv ; k++){ |
cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; |
cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
} |
} |
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++){ |
Line 4090 double func( double *x)
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Line 4158 double func( double *x)
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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; |
if(!FixedV[Tvar[Tage[kk]]]) |
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cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ |
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else |
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cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]*agexact; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
} |
} |
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)); |
Line 4146 double func( double *x)
|
Line 4217 double func( double *x)
|
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]); */ |
} /* end of wave */ |
} /* end of wave */ |
} /* end of individual */ |
} /* end of individual */ |
}else{ /* ml=5 no inter-extrapolation no jackson =0.8a */ |
}else{ /* ml=5 no inter-extrapolation no jackson =0.8a */ |
Line 4165 double func( double *x)
|
Line 4236 double func( double *x)
|
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; |
if(!FixedV[Tvar[Tage[kk]]]) |
|
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ |
|
else |
|
cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]*agexact; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
} |
} |
|
|
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
Line 4196 double funcone( double *x)
|
Line 4270 double funcone( double *x)
|
/* Same as func but slower because of a lot of printf and if */ |
/* Same as func but slower because of a lot of printf and if */ |
int i, ii, j, k, mi, d, kk, kf=0; |
int i, ii, j, k, mi, d, kk, kf=0; |
int ioffset=0; |
int ioffset=0; |
|
int ipos=0,iposold=0,ncovv=0; |
|
|
|
double cotvarv, cotvarvold; |
double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; |
double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; |
double **out; |
double **out; |
double lli; /* Individual log likelihood */ |
double lli; /* Individual log likelihood */ |
Line 4228 double funcone( double *x)
|
Line 4305 double funcone( double *x)
|
/* 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 fixed Dummy covariates without age* products *\/ */ |
/* for (k=1; k<=ncoveff;k++){ /\* Simple and product fixed Dummy covariates without age* products *\/ */ |
for (kf=1; kf<=ncovf;kf++){ /* Simple and product fixed covariates without age* products *//* Missing values are set to -1 but should be dropped */ |
for (kf=1; kf<=ncovf;kf++){ /* Simple and product fixed covariates without age* products *//* Missing values are set to -1 but should be dropped */ |
|
/* printf("Debug3 TvarFind[%d]=%d",kf, TvarFind[kf]); */ |
|
/* printf(" Tvar[TvarFind[kf]]=%d", Tvar[TvarFind[kf]]); */ |
|
/* printf(" i=%d covar[Tvar[TvarFind[kf]]][i]=%f\n",i,covar[Tvar[TvarFind[kf]]][i]); */ |
cov[ioffset+TvarFind[kf]]=covar[Tvar[TvarFind[kf]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ |
cov[ioffset+TvarFind[kf]]=covar[Tvar[TvarFind[kf]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ |
/* cov[ioffset+TvarFind[1]]=covar[Tvar[TvarFind[1]]][i]; */ |
/* cov[ioffset+TvarFind[1]]=covar[Tvar[TvarFind[1]]][i]; */ |
/* cov[2+6]=covar[Tvar[6]][i]; */ |
/* cov[2+6]=covar[Tvar[6]][i]; */ |
Line 4247 double funcone( double *x)
|
Line 4327 double funcone( double *x)
|
mw[mi][i] is real wave of the mi th effectve wave */ |
mw[mi][i] is real wave of the mi th effectve wave */ |
/* Then statuses are computed at each begin and end of an effective wave s1=s[ mw[mi][i] ][i]; |
/* Then statuses are computed at each begin and end of an effective wave s1=s[ mw[mi][i] ][i]; |
s2=s[mw[mi+1][i]][i]; |
s2=s[mw[mi+1][i]][i]; |
And the iv th varying covariate is the cotvar[mw[mi+1][i]][iv][i] |
And the iv th varying covariate in the DATA is the cotvar[mw[mi+1][i]][ncovcol+nqv+iv][i] |
But if the variable is not in the model TTvar[iv] is the real variable effective in the model: |
|
meaning that decodemodel should be used cotvar[mw[mi+1][i]][TTvar[iv]][i] |
|
*/ |
*/ |
/* This part may be useless now because everythin should be in covar */ |
/* This part may be useless now because everythin should be in covar */ |
/* for (k=1; k<=nqfveff;k++){ /\* Simple and product fixed Quantitative covariates without age* products *\/ */ |
/* for (k=1; k<=nqfveff;k++){ /\* Simple and product fixed Quantitative covariates without age* products *\/ */ |
Line 4261 double funcone( double *x)
|
Line 4339 double funcone( double *x)
|
|
|
|
|
for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */ |
for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */ |
/* Wave varying (but not age varying) */ |
/* Wave varying (but not age varying) *//* V1+V3+age*V1+age*V3+V1*V3 with V4 tv and V5 tvq k= 1 to 5 and extra at V(5+1)=6 for V1*V3 */ |
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]; *\/ */ |
cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; |
/* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; */ |
} |
/* } */ |
/* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates (single??)*\/ */ |
|
/* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; /\* Counting the # varying covariate from 1 to ntveff *\/ */ |
/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
/* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; */ |
/* model V1+V3+age*V1+age*V3+V1*V3 */ |
/* k=ioffset-2-nagesqr-cptcovage+itv; /\* position in simple model *\/ */ |
/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
/* cov[ioffset+itv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; */ |
/* TvarVV[1]=V3 (first time varying in the model equation, TvarVV[2]=V1 (in V1*V3) TvarVV[3]=3(V3) */ |
/* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][TmodelInvind[itv]][i]=%f\n", i, mi, itv, TmodelInvind[itv],cotvar[mw[mi][i]][TmodelInvind[itv]][i]); */ |
/* We need the position of the time varying or product in the model */ |
|
/* TvarVVind={2,5,5}, for V3 at position 2 and then the product V1*V3 is decomposed into V1 and V3 but at same position 5 */ |
|
/* TvarVV gives the variable name */ |
|
/* Other example V1 + V3 + V5 + age*V1 + age*V3 + age*V5 + V1*V3 + V3*V5 + V1*V5 |
|
* k= 1 2 3 4 5 6 7 8 9 |
|
* varying 1 2 3 4 5 |
|
* ncovv 1 2 3 4 5 6 7 8 |
|
* TvarVV V3 5 1 3 3 5 1 5 |
|
* TvarVVind 2 3 7 7 8 8 9 9 |
|
* TvarFind[k] 1 0 0 0 0 0 0 0 0 |
|
* cotvar starts at ntv=2 (because of V3 V4) |
|
*/ |
|
for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ /* Varying covariates (single and product but no age) including individual from products */ |
|
itv=TvarVV[ncovv]; /* TvarVV={3, 1, 3} gives the name of each varying covariate */ |
|
ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ |
|
if(TvarFind[itv]==0){ /* Not a fixed covariate */ |
|
cotvarv=cotvar[mw[mi][i]][TvarVV[ncovv]][i]; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
|
}else{ /* fixed covariate */ |
|
cotvarv=covar[Tvar[TvarFind[itv]]][i]; |
|
} |
|
if(ipos!=iposold){ /* Not a product or first of a product */ |
|
cotvarvold=cotvarv; |
|
}else{ /* A second product */ |
|
cotvarv=cotvarv*cotvarvold; |
|
} |
|
iposold=ipos; |
|
cov[ioffset+ipos]=cotvarv; |
|
/* For products */ |
|
} |
|
/* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates single *\/ */ |
|
/* iv=TvarVDind[itv]; /\* iv, position in the model equation of time varying covariate itv *\/ */ |
|
/* /\* "V1+V3+age*V1+age*V3+V1*V3" with V3 time varying *\/ */ |
|
/* /\* 1 2 3 4 5 *\/ */ |
|
/* /\*itv 1 *\/ */ |
|
/* /\* TvarVInd[1]= 2 *\/ */ |
|
/* /\* iv= Tvar[Tmodelind[itv]]-ncovcol-nqv; /\\* Counting the # varying covariate from 1 to ntveff *\\/ *\/ */ |
|
/* /\* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; *\/ */ |
|
/* /\* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; *\/ */ |
|
/* /\* k=ioffset-2-nagesqr-cptcovage+itv; /\\* position in simple model *\\/ *\/ */ |
|
/* /\* cov[ioffset+iv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; *\/ */ |
|
/* cov[ioffset+iv]=cotvar[mw[mi][i]][itv][i]; */ |
|
/* /\* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][itv][i]=%f\n", i, mi, itv, TvarVDind[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 *\/ */ |
/* iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff *\/ */ |
/* iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff *\/ */ |
/* /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); *\/ */ |
/* /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); *\/ */ |
Line 4298 double funcone( double *x)
|
Line 4418 double funcone( double *x)
|
if(!FixedV[Tvar[Tage[kk]]]) |
if(!FixedV[Tvar[Tage[kk]]]) |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
else |
else |
cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]*agexact; |
cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]*agexact; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
} |
} |
/* printf("i=%d,mi=%d,d=%d,mw[mi][i]=%d\n",i, mi,d,mw[mi][i]); */ |
/* 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); */ |
Line 4353 double funcone( double *x)
|
Line 4473 double funcone( double *x)
|
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("Funcone 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],(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2])); */ |
printf("Funcone num[i]=%ld i=%6d V= ", num[i], i); |
|
for (kf=1; kf<=ncovf;kf++){ /* Simple and product fixed covariates without age* products *//* Missing values are set to -1 but should be dropped */ |
|
printf("%g",covar[Tvar[TvarFind[kf]]][i]); |
|
} |
|
for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ /* Varying covariates (single and product but no age) including individual from products */ |
|
ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ |
|
if(ipos!=iposold){ /* Not a product or first of a product */ |
|
printf(" %g",cov[ioffset+ipos]); |
|
}else{ |
|
printf("*"); |
|
} |
|
iposold=ipos; |
|
} |
|
for (kk=1; kk<=cptcovage;kk++) { |
|
if(!FixedV[Tvar[Tage[kk]]]) |
|
printf(" %g*age",covar[Tvar[Tage[kk]]][i]); |
|
else |
|
printf(" %g*age",cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]);/* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
|
} |
|
printf(" s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2])); |
if(globpr){ |
if(globpr){ |
fprintf(ficresilk,"%09ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ |
fprintf(ficresilk,"%09ld %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 ", \ |
Line 5129 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5268 Title=%s <br>Datafile=%s Firstpass=%d La
|
/* }else */ /* TODO TODO codtabm(j1,z1) or codtabm(j1,Tvaraff[z1]]z1)*/ |
/* }else */ /* TODO TODO codtabm(j1,z1) or codtabm(j1,Tvaraff[z1]]z1)*/ |
/* if( iind >=imx-3) printf("Searching error iind=%d Tvaraff[z1]=%d covar[Tvaraff[z1]][iind]=%.f TnsdVar[Tvaraff[z1]]=%d, cptcoveff=%d, cptcovs=%d \n",iind, Tvaraff[z1], covar[Tvaraff[z1]][iind],TnsdVar[Tvaraff[z1]],cptcoveff, cptcovs); */ |
/* if( iind >=imx-3) printf("Searching error iind=%d Tvaraff[z1]=%d covar[Tvaraff[z1]][iind]=%.f TnsdVar[Tvaraff[z1]]=%d, cptcoveff=%d, cptcovs=%d \n",iind, Tvaraff[z1], covar[Tvaraff[z1]][iind],TnsdVar[Tvaraff[z1]],cptcoveff, cptcovs); */ |
if(Tvaraff[z1]<1 || Tvaraff[z1]>=NCOVMAX) |
if(Tvaraff[z1]<1 || Tvaraff[z1]>=NCOVMAX) |
printf("Error Tvaraff[z1]=%d<1 or >=%d, cptcoveff=%d model=%s\n",Tvaraff[z1],NCOVMAX, cptcoveff, model); |
printf("Error Tvaraff[z1]=%d<1 or >=%d, cptcoveff=%d model=1+age+%s\n",Tvaraff[z1],NCOVMAX, cptcoveff, model); |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]){ /* for combination j1 of covariates */ |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]){ /* for combination j1 of covariates */ |
/* Tests if the value of the covariate z1 for this individual iind responded to combination j1 (V4=1 V3=0) */ |
/* Tests if the value of the covariate z1 for this individual iind responded to combination j1 (V4=1 V3=0) */ |
bool=0; /* bool should be equal to 1 to be selected, one covariate value failed */ |
bool=0; /* bool should be equal to 1 to be selected, one covariate value failed */ |
Line 5150 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5289 Title=%s <br>Datafile=%s Firstpass=%d La
|
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; /\* Good *\/ */ |
|
iv= Tvar[Tmodelind[z1]]; /* Good *//* because cotvar starts now at first at ncovcol+nqv+ntv */ |
if (cotvar[m][iv][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) /* iv=1 to ntv, right modality. If covariate's |
if (cotvar[m][iv][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) /* iv=1 to ntv, right modality. If covariate's |
value is -1, we don't select. It differs from the |
value is -1, we don't select. It differs from the |
constant and age model which counts them. */ |
constant and age model which counts them. */ |
Line 5231 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5371 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 "); |
fprintf(ficlog, "\n#********** Variable "); |
fprintf(ficlog, "\n#********** Variable "); |
for (z1=1; z1<=cptcovs; z1++){ |
for (z1=1; z1<=cptcoveff; z1++){ |
if(!FixedV[Tvaraff[z1]]){ |
if(!FixedV[Tvaraff[z1]]){ |
printf( "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
printf( "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(ficresp, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(ficresp, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
Line 5439 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5579 Title=%s <br>Datafile=%s Firstpass=%d La
|
printf("# This combination (%d) is not valid and no result will be produced\n",j1); |
printf("# This combination (%d) is not valid and no result will be produced\n",j1); |
invalidvarcomb[j1]=1; |
invalidvarcomb[j1]=1; |
}else{ |
}else{ |
fprintf(ficresphtm,"\n <p> This combination (%d) is valid and result will be produced.</p>",j1); |
fprintf(ficresphtm,"\n <p> This combination (%d) is valid and result will be produced (or no resultline).</p>",j1); |
invalidvarcomb[j1]=0; |
invalidvarcomb[j1]=0; |
} |
} |
fprintf(ficresphtmfr,"</table>\n"); |
fprintf(ficresphtmfr,"</table>\n"); |
Line 5687 void prevalence(double ***probs, double
|
Line 5827 void prevalence(double ***probs, double
|
/* Tvar[Tmodelind[z1]] is the n of Vn; n-ncovcol-nqv is the first time varying covariate or iv */ |
/* Tvar[Tmodelind[z1]] is the n of Vn; n-ncovcol-nqv is the first time varying covariate or iv */ |
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]];/* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
if (cotvar[m][iv][i]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) /* iv=1 to ntv, right modality */ |
if (cotvar[m][iv][i]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[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 */ |
Line 5996 void concatwav(int wav[], int **dh, int
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Line 6136 void concatwav(int wav[], int **dh, int
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/* Loop on covariates without age and products and no quantitative variable */ |
/* Loop on covariates without age and products and no quantitative variable */ |
for (k=1; k<=cptcovt; k++) { /* cptcovt: total number of covariates of the model (2) nbocc(+)+1 = 8 excepting constant and age and age*age */ |
for (k=1; k<=cptcovt; k++) { /* cptcovt: total number of covariates of the model (2) nbocc(+)+1 = 8 excepting constant and age and age*age */ |
for (j=-1; (j < maxncov); j++) Ndum[j]=0; |
for (j=-1; (j < maxncov); j++) Ndum[j]=0; |
if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */ |
printf("Testing k=%d, cptcovt=%d\n",k, cptcovt); |
|
if(Dummy[k]==0 && Typevar[k] !=1 && Typevar[k] != 2){ /* Dummy covariate and not age product nor fixed product */ |
switch(Fixed[k]) { |
switch(Fixed[k]) { |
case 0: /* Testing on fixed dummy covariate, simple or product of fixed */ |
case 0: /* Testing on fixed dummy covariate, simple or product of fixed */ |
modmaxcovj=0; |
modmaxcovj=0; |
modmincovj=0; |
modmincovj=0; |
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*/ |
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*/ |
|
/* printf("Waiting for error tricode Tvar[%d]=%d i=%d (int)(covar[Tvar[k]][i]=%d\n",k,Tvar[k], i, (int)(covar[Tvar[k]][i])); */ |
ij=(int)(covar[Tvar[k]][i]); |
ij=(int)(covar[Tvar[k]][i]); |
/* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i |
/* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i |
* If product of Vn*Vm, still boolean *: |
* If product of Vn*Vm, still boolean *: |
Line 7208 To be simple, these graphs help to under
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Line 7350 To be simple, these graphs help to under
|
|
|
/* Including quantitative variables of the resultline to be done */ |
/* Including quantitative variables of the resultline to be done */ |
for (z1=1; z1<=cptcovs; z1++){ /* Loop on each variable of this resultline */ |
for (z1=1; z1<=cptcovs; z1++){ /* Loop on each variable of this resultline */ |
printf("Varprob modelresult[%d][%d]=%d model=%s \n",nres, z1, modelresult[nres][z1], model); |
printf("Varprob modelresult[%d][%d]=%d model=1+age+%s \n",nres, z1, modelresult[nres][z1], model); |
fprintf(ficlog,"Varprob modelresult[%d][%d]=%d model=%s \n",nres, z1, modelresult[nres][z1], model); |
fprintf(ficlog,"Varprob modelresult[%d][%d]=%d model=1+age+%s \n",nres, z1, modelresult[nres][z1], model); |
/* fprintf(ficlog,"Varprob modelresult[%d][%d]=%d model=%s resultline[%d]=%s \n",nres, z1, modelresult[nres][z1], model, nres, resultline[nres]); */ |
/* fprintf(ficlog,"Varprob modelresult[%d][%d]=%d model=1+age+%s resultline[%d]=%s \n",nres, z1, modelresult[nres][z1], model, nres, resultline[nres]); */ |
if(Dummy[modelresult[nres][z1]]==0){/* Dummy variable of the variable in position modelresult in the model corresponding to z1 in resultline */ |
if(Dummy[modelresult[nres][z1]]==0){/* Dummy variable of the variable in position modelresult in the model corresponding to z1 in resultline */ |
if(Fixed[modelresult[nres][z1]]==0){ /* Fixed referenced to model equation */ |
if(Fixed[modelresult[nres][z1]]==0){ /* Fixed referenced to model equation */ |
fprintf(ficresprob,"V%d=%d ",Tvresult[nres][z1],Tresult[nres][z1]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
fprintf(ficresprob,"V%d=%d ",Tvresult[nres][z1],Tresult[nres][z1]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
Line 7581 void printinghtml(char fileresu[], char
|
Line 7723 void printinghtml(char fileresu[], char
|
fprintf(fichtm," \n<ul>"); |
fprintf(fichtm," \n<ul>"); |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
/* k1=nres; */ |
/* k1=nres; */ |
k1= TKresult[nres]; |
k1=TKresult[nres]; |
|
if(TKresult[nres]==0)k1=1; /* To be checked for no result */ |
/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate *\/ */ |
/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate *\/ */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* continue; */ |
/* continue; */ |
Line 7624 void printinghtml(char fileresu[], char
|
Line 7767 void printinghtml(char fileresu[], char
|
|
|
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
/* k1=nres; */ |
/* k1=nres; */ |
k1= TKresult[nres]; |
k1=TKresult[nres]; |
|
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate *\/ */ |
/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate *\/ */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* continue; */ |
/* continue; */ |
Line 7649 void printinghtml(char fileresu[], char
|
Line 7793 void printinghtml(char fileresu[], char
|
/* 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); */ |
} |
} |
/* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
/* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
fprintf(fichtm," (model=%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model); |
fprintf(fichtm," (model=1+age+%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model); |
if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
fprintf(fichtm,"\n<h3>Combination (%d) ignored because no cases </h3>\n",k1); |
fprintf(fichtm,"\n<h3>Combination (%d) ignored because no cases </h3>\n",k1); |
printf("\nCombination (%d) ignored because no cases \n",k1); |
printf("\nCombination (%d) ignored because no cases \n",k1); |
Line 7685 divided by h: <sub>h</sub>P<sub>ij</sub>
|
Line 7829 divided by h: <sub>h</sub>P<sub>ij</sub>
|
/* Period (forward stable) prevalence in each health state */ |
/* Period (forward stable) prevalence in each health state */ |
for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability for a person being in state (1 to %d) at different ages, to be in state %d some years after. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br>", cpt, nlstate, cpt, subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability for a person being in state (1 to %d) at different ages, to be in state %d some years after. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br>", cpt, nlstate, cpt, subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"P_"),subdirf2(optionfilefiname,"P_")); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"PIJ_"),subdirf2(optionfilefiname,"PIJ_")); |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">" ,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">" ,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
} |
} |
if(prevbcast==1){ |
if(prevbcast==1){ |
/* Backward prevalence in each health state */ |
/* Backward prevalence in each health state */ |
for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
fprintf(fichtm,"<br>\n- Convergence to mixed (stable) back prevalence in state %d. Or probability for a person to be in state %d at a younger age, knowing that she/he was in state (1 to %d) at different older ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Convergence to mixed (stable) back prevalence in state %d. Or probability for a person to be in state %d at a younger age, knowing that she/he was in state (1 to %d) at different older ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br>", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres); |
<img src=\"%s_%d-%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"PIJB_"),subdirf2(optionfilefiname,"PIJB_")); |
|
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">" ,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres); |
} |
} |
} |
} |
if(prevfcast==1){ |
if(prevfcast==1){ |
Line 7769 See page 'Matrix of variance-covariance
|
Line 7914 See page 'Matrix of variance-covariance
|
/* - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n */ |
/* - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n */ |
/* <br>",fileres,fileres,fileres,fileres); */ |
/* <br>",fileres,fileres,fileres,fileres); */ |
/* else */ |
/* else */ |
/* fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */ |
/* fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=1+age+%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */ |
fflush(fichtm); |
fflush(fichtm); |
|
|
m=pow(2,cptcoveff); |
m=pow(2,cptcoveff); |
Line 7782 See page 'Matrix of variance-covariance
|
Line 7927 See page 'Matrix of variance-covariance
|
fprintf(fichtm," \n<ul>"); |
fprintf(fichtm," \n<ul>"); |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
/* k1=nres; */ |
/* k1=nres; */ |
k1= TKresult[nres]; |
k1=TKresult[nres]; |
/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate *\/ */ |
/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate *\/ */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* continue; */ |
/* continue; */ |
Line 7812 See page 'Matrix of variance-covariance
|
Line 7957 See page 'Matrix of variance-covariance
|
|
|
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
/* k1=nres; */ |
/* k1=nres; */ |
k1= TKresult[nres]; |
k1=TKresult[nres]; |
|
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
/* for(k1=1; k1<=m;k1++){ */ |
/* for(k1=1; k1<=m;k1++){ */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* continue; */ |
/* continue; */ |
Line 7832 See page 'Matrix of variance-covariance
|
Line 7978 See page 'Matrix of variance-covariance
|
/* 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," (model=%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model); |
fprintf(fichtm," (model=1+age+%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model); |
|
|
if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
fprintf(fichtm,"\n<h4>Combination (%d) ignored because no cases </h4>\n",k1); |
fprintf(fichtm,"\n<h4>Combination (%d) ignored because no cases </h4>\n",k1); |
Line 7933 void printinggnuplot(char fileresu[], ch
|
Line 8079 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 *\/ */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
k1=TKresult[nres]; |
k1=TKresult[nres]; |
|
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
/* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ |
/* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* continue; */ |
/* continue; */ |
Line 7973 void printinggnuplot(char fileresu[], ch
|
Line 8120 void printinggnuplot(char fileresu[], ch
|
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres); |
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres); |
fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres); |
fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres); |
/* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */ |
/* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */ |
fprintf(ficgp,"set title \"Alive state %d %s model=%s\" font \"Helvetica,12\"\n",cpt,gplotlabel,model); |
fprintf(ficgp,"set title \"Alive state %d %s model=1+age+%s\" font \"Helvetica,12\"\n",cpt,gplotlabel,model); |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres); |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres); |
/* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */ |
/* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */ |
/* k1-1 error should be nres-1*/ |
/* k1-1 error should be nres-1*/ |
Line 8080 void printinggnuplot(char fileresu[], ch
|
Line 8227 void printinggnuplot(char fileresu[], ch
|
/* for (k1=1; k1<= m ; k1 ++){ */ |
/* for (k1=1; k1<= m ; k1 ++){ */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
k1=TKresult[nres]; |
k1=TKresult[nres]; |
|
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* continue; */ |
/* continue; */ |
fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); |
fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); |
Line 8151 void printinggnuplot(char fileresu[], ch
|
Line 8299 void printinggnuplot(char fileresu[], ch
|
/* for (k1=1; k1<= m ; k1 ++){ */ |
/* for (k1=1; k1<= m ; k1 ++){ */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
k1=TKresult[nres]; |
k1=TKresult[nres]; |
|
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* continue; */ |
/* continue; */ |
|
|
Line 8212 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 8361 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
/* for (k1=1; k1<=m; k1++){ /\* For each covariate and each value *\/ */ |
/* for (k1=1; k1<=m; k1++){ /\* For each covariate and each value *\/ */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
k1=TKresult[nres]; |
k1=TKresult[nres]; |
|
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* continue; */ |
/* continue; */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state cpt*/ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state cpt*/ |
Line 8269 set ter svg size 640, 480\nunset log y\n
|
Line 8419 set ter svg size 640, 480\nunset log y\n
|
/* for (k1=1; k1<= m ; k1++){ /\* For each covariate combination if any *\/ */ |
/* for (k1=1; k1<= m ; k1++){ /\* For each covariate combination if any *\/ */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
k1=TKresult[nres]; |
k1=TKresult[nres]; |
|
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* continue; */ |
/* continue; */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ |
Line 8334 set ter svg size 640, 480\nunset log y\n
|
Line 8485 set ter svg size 640, 480\nunset log y\n
|
/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any *\/ */ |
/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any *\/ */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
k1=TKresult[nres]; |
k1=TKresult[nres]; |
|
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* continue; */ |
/* continue; */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state of arrival */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state of arrival */ |
Line 8391 set ter svg size 640, 480\nunset log y\n
|
Line 8543 set ter svg size 640, 480\nunset log y\n
|
/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any *\/ */ |
/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any *\/ */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
k1=TKresult[nres]; |
k1=TKresult[nres]; |
|
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* continue; */ |
/* continue; */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life origin state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life origin state */ |
Line 8453 set ter svg size 640, 480\nunset log y\n
|
Line 8606 set ter svg size 640, 480\nunset log y\n
|
/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any *\/ */ |
/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any *\/ */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
k1=TKresult[nres]; |
k1=TKresult[nres]; |
|
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* continue; */ |
/* continue; */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
Line 8574 set ter svg size 640, 480\nunset log y\n
|
Line 8728 set ter svg size 640, 480\nunset log y\n
|
/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any *\/ */ |
/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any *\/ */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
k1=TKresult[nres]; |
k1=TKresult[nres]; |
|
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
/* continue; */ |
/* continue; */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
Line 8651 set ter svg size 640, 480\nunset log y\n
|
Line 8806 set ter svg size 640, 480\nunset log y\n
|
kl=0; |
kl=0; |
strcpy(gplotcondition,"("); |
strcpy(gplotcondition,"("); |
for (k=1; k<=cptcovs; k++){ /* For each covariate k of the resultline, get corresponding value lv for combination k1 */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k of the resultline, get corresponding value lv for combination k1 */ |
if(Dummy[Tvresult[nres][k]]==0){ /* To be verified */ |
if(Dummy[modelresult[nres][k]]==0){ /* To be verified */ |
/* for (k=1; k<=cptcoveff; 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,cptcoveff); /\* 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 *\/ */ |
/* lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
/* lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
Line 8666 set ter svg size 640, 480\nunset log y\n
|
Line 8821 set ter svg size 640, 480\nunset log y\n
|
/* sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); */ |
/* sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); */ |
sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%lg " ,kl,Tvresult[nres][k], kl+1,TinvDoQresult[nres][Tvresult[nres][k]]); |
sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%lg " ,kl,Tvresult[nres][k], kl+1,TinvDoQresult[nres][Tvresult[nres][k]]); |
kl++; |
kl++; |
if(k <cptcoveff && cptcoveff>1) |
if(k <cptcovs && cptcovs>1) |
sprintf(gplotcondition+strlen(gplotcondition)," && "); |
sprintf(gplotcondition+strlen(gplotcondition)," && "); |
} |
} |
} |
} |
Line 8733 set ter svg size 640, 480\nunset log y\n
|
Line 8888 set ter svg size 640, 480\nunset log y\n
|
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,"#Number of graphics: first is logit, 2nd is probabilities, third is incidences per year\n"); |
fprintf(ficgp,"#Number of graphics: first is logit, 2nd is probabilities, third is incidences per year\n"); |
fprintf(ficgp,"#model=%s \n",model); |
fprintf(ficgp,"#model=1+age+%s \n",model); |
fprintf(ficgp,"# Type of graphic ng=%d\n",ng); |
fprintf(ficgp,"# Type of graphic ng=%d\n",ng); |
fprintf(ficgp,"# k1=1 to 2^%d=%d\n",cptcoveff,m);/* to be checked */ |
fprintf(ficgp,"# k1=1 to 2^%d=%d\n",cptcoveff,m);/* to be checked */ |
/* for(k1=1; k1 <=m; k1++) /\* For each combination of covariate *\/ */ |
/* for(k1=1; k1 <=m; k1++) /\* For each combination of covariate *\/ */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
/* k1=nres; */ |
/* k1=nres; */ |
k1= TKresult[nres]; |
k1=TKresult[nres]; |
|
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
fprintf(ficgp,"\n\n# Resultline k1=%d ",k1); |
fprintf(ficgp,"\n\n# Resultline k1=%d ",k1); |
strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
/*sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);*/ |
/*sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);*/ |
Line 9555 void prevforecast(char fileres[], double
|
Line 9711 void prevforecast(char fileres[], double
|
|
|
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
k=TKresult[nres]; |
k=TKresult[nres]; |
|
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
/* for(k=1; k<=i1;k++){ /\* We find the combination equivalent to result line values of dummies *\/ */ |
/* for(k=1; k<=i1;k++){ /\* We find the combination equivalent to result line values of dummies *\/ */ |
if(i1 != 1 && TKresult[nres]!= k) |
if(i1 != 1 && TKresult[nres]!= k) |
continue; |
continue; |
Line 9615 void prevforecast(char fileres[], double
|
Line 9772 void prevforecast(char fileres[], double
|
|
|
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
k=TKresult[nres]; |
k=TKresult[nres]; |
|
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
/* for(k=1; k<=i1;k++){ */ |
/* for(k=1; k<=i1;k++){ */ |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
/* continue; */ |
/* continue; */ |
Line 9622 void prevforecast(char fileres[], double
|
Line 9780 void prevforecast(char fileres[], double
|
printf("\n#****** "); |
printf("\n#****** "); |
fprintf(ficlog,"\n#****** "); |
fprintf(ficlog,"\n#****** "); |
for (j=1; j<= cptcovs; j++){ /* For each selected (single) quantitative value */ |
for (j=1; j<= cptcovs; j++){ /* For each selected (single) quantitative value */ |
printf(" V%d=%lg ",Tvqresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]); |
printf(" V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]); |
fprintf(ficresvbl," V%d=%lg ",Tvqresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]); |
fprintf(ficresvbl," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]); |
fprintf(ficlog," V%d=%lg ",Tvqresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]); |
fprintf(ficlog," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]); |
/* for(j=1;j<=cptcoveff;j++) { */ |
/* for(j=1;j<=cptcoveff;j++) { */ |
/* fprintf(ficresvbl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
/* fprintf(ficresvbl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
/* fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
/* fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
Line 10120 int readdata(char datafile[], int firsto
|
Line 10278 int readdata(char datafile[], int firsto
|
printf("Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); |
printf("Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); |
fprintf(ficlog,"Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); |
fprintf(ficlog,"Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); |
} |
} |
|
|
|
ncovcolt=ncovcol+nqv+ntv+nqtv; /* total of covariates in the data, not in the model equation */ |
|
|
if((fic=fopen(datafile,"r"))==NULL) { |
if((fic=fopen(datafile,"r"))==NULL) { |
printf("Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(stdout); |
printf("Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(stdout); |
fprintf(ficlog,"Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(ficlog);return 1; |
fprintf(ficlog,"Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(ficlog);return 1; |
Line 10198 int readdata(char datafile[], int firsto
|
Line 10358 int readdata(char datafile[], int firsto
|
if(strb[0]=='.') { /* Missing value */ |
if(strb[0]=='.') { /* Missing value */ |
lval=-1; |
lval=-1; |
cotqvar[j][iv][i]=-1; /* 0.0/0.0 */ |
cotqvar[j][iv][i]=-1; /* 0.0/0.0 */ |
cotvar[j][ntv+iv][i]=-1; /* For performance reasons */ |
cotvar[j][ncovcol+nqv+ntv+iv][i]=-1; /* For performance reasons */ |
if(isalpha(strb[1])) { /* .m or .d Really Missing value */ |
if(isalpha(strb[1])) { /* .m or .d Really Missing value */ |
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); |
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); |
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); |
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); |
Line 10218 int readdata(char datafile[], int firsto
|
Line 10378 int readdata(char datafile[], int firsto
|
return 1; |
return 1; |
} |
} |
cotqvar[j][iv][i]=dval; |
cotqvar[j][iv][i]=dval; |
cotvar[j][ntv+iv][i]=dval; |
cotvar[j][ncovcol+nqv+ntv+iv][i]=dval; /* because cotvar starts now at first ntv */ |
} |
} |
strcpy(line,stra); |
strcpy(line,stra); |
}/* end loop ntqv */ |
}/* end loop ntqv */ |
Line 10258 int readdata(char datafile[], int firsto
|
Line 10418 int readdata(char datafile[], int firsto
|
Exiting.\n",lval,linei, i,line,iv,j);fflush(ficlog); |
Exiting.\n",lval,linei, i,line,iv,j);fflush(ficlog); |
return 1; |
return 1; |
} |
} |
cotvar[j][iv][i]=(double)(lval); |
cotvar[j][ncovcol+nqv+iv][i]=(double)(lval); |
strcpy(line,stra); |
strcpy(line,stra); |
}/* end loop ntv */ |
}/* end loop ntv */ |
|
|
Line 10520 int decoderesult( char resultline[], int
|
Line 10680 int decoderesult( char resultline[], int
|
} |
} |
} |
} |
if(match == 0){ |
if(match == 0){ |
printf("Error in result line (Dummy single): V%d is missing in result: %s according to model=%s. Tvar[k1=%d]=%d is different from Tvarsel[k2=%d]=%d.\n",Tvar[k1], resultline, model,k1, Tvar[k1], k2, Tvarsel[k2]); |
printf("Error in result line (Dummy single): V%d is missing in result: %s according to model=1+age+%s. Tvar[k1=%d]=%d is different from Tvarsel[k2=%d]=%d.\n",Tvar[k1], resultline, model,k1, Tvar[k1], k2, Tvarsel[k2]); |
fprintf(ficlog,"Error in result line (Dummy single): V%d is missing in result: %s according to model=%s\n",Tvar[k1], resultline, model); |
fprintf(ficlog,"Error in result line (Dummy single): V%d is missing in result: %s according to model=1+age+%s\n",Tvar[k1], resultline, model); |
return 1; |
return 1; |
} |
} |
}else if(Typevar[k1]==1){ /* Product with age We want to get the position k2 in the resultline of the product k1 in the model line*/ |
}else if(Typevar[k1]==1){ /* Product with age We want to get the position k2 in the resultline of the product k1 in the model line*/ |
Line 10537 int decoderesult( char resultline[], int
|
Line 10697 int decoderesult( char resultline[], int
|
} |
} |
} |
} |
if(match == 0){ |
if(match == 0){ |
printf("Error in result line (Product with age): V%d is missing in result: %s according to model=%s (Tvarsel[k2=%d]=%d)\n",Tvar[k1], resultline, model, k2, Tvarsel[k2]); |
printf("Error in result line (Product with age): V%d is missing in result: %s according to model=1+age+%s (Tvarsel[k2=%d]=%d)\n",Tvar[k1], resultline, model, k2, Tvarsel[k2]); |
fprintf(ficlog,"Error in result line (Product with age): V%d is missing in result: %s according to model=%s (Tvarsel[k2=%d]=%d)\n",Tvar[k1], resultline, model, k2, Tvarsel[k2]); |
fprintf(ficlog,"Error in result line (Product with age): V%d is missing in result: %s according to model=1+age+%s (Tvarsel[k2=%d]=%d)\n",Tvar[k1], resultline, model, k2, Tvarsel[k2]); |
return 1; |
return 1; |
} |
} |
}else if(Typevar[k1]==2){ /* Product No age We want to get the position in the resultline of the product in the model line*/ |
}else if(Typevar[k1]==2){ /* Product No age We want to get the position in the resultline of the product in the model line*/ |
Line 10553 int decoderesult( char resultline[], int
|
Line 10713 int decoderesult( char resultline[], int
|
} |
} |
} |
} |
if(match == 0){ |
if(match == 0){ |
printf("Error in result line (Product without age first variable): V%d is missing in result: %s according to model=%s\n",Tvardk[k1][1], resultline, model); |
printf("Error in result line (Product without age first variable): V%d is missing in result: %s according to model=1+age+%s\n",Tvardk[k1][1], resultline, model); |
fprintf(ficlog,"Error in result line (Product without age first variable): V%d is missing in result: %s according to model=%s\n",Tvardk[k1][1], resultline, model); |
fprintf(ficlog,"Error in result line (Product without age first variable): V%d is missing in result: %s according to model=1+age+%s\n",Tvardk[k1][1], resultline, model); |
return 1; |
return 1; |
} |
} |
match=0; |
match=0; |
Line 10567 int decoderesult( char resultline[], int
|
Line 10727 int decoderesult( char resultline[], int
|
} |
} |
} |
} |
if(match == 0){ |
if(match == 0){ |
printf("Error in result line (Product without age second variable): V%d is missing in result: %s according to model=%s\n",Tvardk[k1][2], resultline, model); |
printf("Error in result line (Product without age second variable): V%d is missing in result: %s according to model=1+age+%s\n",Tvardk[k1][2], resultline, model); |
fprintf(ficlog,"Error in result line (Product without age second variable): V%d is missing in result : %s according to model=%s\n",Tvardk[k1][2], resultline, model); |
fprintf(ficlog,"Error in result line (Product without age second variable): V%d is missing in result : %s according to model=1+age+%s\n",Tvardk[k1][2], resultline, model); |
return 1; |
return 1; |
} |
} |
}/* End of testing */ |
}/* End of testing */ |
Line 10588 int decoderesult( char resultline[], int
|
Line 10748 int decoderesult( char resultline[], int
|
} |
} |
} |
} |
if(match == 0){ |
if(match == 0){ |
printf("Error in result line: variable V%d is missing in model; result: %s, model=%s\n",Tvarsel[k2], resultline, model); |
printf("Error in result line: variable V%d is missing in model; result: %s, model=1+age+%s\n",Tvarsel[k2], resultline, model); |
fprintf(ficlog,"Error in result line: variable V%d is missing in model; result: %s, model=%s\n",Tvarsel[k2], resultline, model); |
fprintf(ficlog,"Error in result line: variable V%d is missing in model; result: %s, model=1+age+%s\n",Tvarsel[k2], resultline, model); |
return 1; |
return 1; |
}else if(match > 1){ |
}else if(match > 1){ |
printf("Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model); |
printf("Error in result line: %d doubled; result: %s, model=1+age+%s\n",k2, resultline, model); |
fprintf(ficlog,"Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model); |
fprintf(ficlog,"Error in result line: %d doubled; result: %s, model=1+age+%s\n",k2, resultline, model); |
return 1; |
return 1; |
} |
} |
} |
} |
Line 10701 int decodemodel( char model[], int lasto
|
Line 10861 int decodemodel( char model[], int lasto
|
* - cptcovn or number of covariates k of the models excluding age*products =6 and age*age |
* - cptcovn or number of covariates k of the models excluding age*products =6 and age*age |
* - cptcovage number of covariates with age*products =2 |
* - cptcovage number of covariates with age*products =2 |
* - cptcovs number of simple covariates |
* - cptcovs number of simple covariates |
|
* ncovcolt=ncovcol+nqv+ntv+nqtv total of covariates in the data, not in the model equation |
* - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10 |
* - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10 |
* which is a new column after the 9 (ncovcol) variables. |
* which is a new column after the 9 (ncovcol+nqv+ntv+nqtv) variables. |
* - if k is a product Vn*Vm, covar[k][i] is filled with correct values for each individual |
* - if k is a product Vn*Vm, covar[k][i] is filled with correct values for each individual |
* - Tprod[l] gives the kth covariates of the product Vn*Vm l=1 to cptcovprod-cptcovage |
* - Tprod[l] gives the kth covariates of the product Vn*Vm l=1 to cptcovprod-cptcovage |
* Tprod[1]@2 {5, 6}: position of first product V7*V8 is 5, and second V5*V6 is 6. |
* Tprod[1]@2 {5, 6}: position of first product V7*V8 is 5, and second V5*V6 is 6. |
Line 10725 int decodemodel( char model[], int lasto
|
Line 10886 int decodemodel( char model[], int lasto
|
return 1; |
return 1; |
} |
} |
if (strstr(model,"v") !=0){ |
if (strstr(model,"v") !=0){ |
printf("Error. 'v' must be in upper case 'V' model=%s ",model); |
printf("Error. 'v' must be in upper case 'V' model=1+age+%s ",model); |
fprintf(ficlog,"Error. 'v' must be in upper case model=%s ",model);fflush(ficlog); |
fprintf(ficlog,"Error. 'v' must be in upper case model=1+age+%s ",model);fflush(ficlog); |
return 1; |
return 1; |
} |
} |
strcpy(modelsav,model); |
strcpy(modelsav,model); |
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=1+age+%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=1+age+%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=1+age+%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; |
Line 10846 int decodemodel( char model[], int lasto
|
Line 11007 int decodemodel( char model[], int lasto
|
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; /* ncovcolt+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 |
thus after V4 we invent V5 and V6 because age*V3 will be computed in 4 |
thus after V4 we invent V5 and V6 because age*V3 will be computed in 4 |
Tvar[3=V1*V4]=4+1=5 Tvar[5=V3*V2]=4 + 2= 6, Tvar[4=age*V3]=4 etc */ |
Tvar[3=V1*V4]=4+1=5 Tvar[5=V3*V2]=4 + 2= 6, Tvar[4=age*V3]=3 etc */ |
/* Please remark that the new variables are model dependent */ |
/* Please remark that the new variables are model dependent */ |
/* If we have 4 variable but the model uses only 3, like in |
/* If we have 4 variable but the model uses only 3, like in |
* model= V1 + age*V1 + V2 + V3 + age*V2 + age*V3 + V1*V2 + V1*V3 |
* model= V1 + age*V1 + V2 + V3 + age*V2 + age*V3 + V1*V2 + V1*V3 |
Line 10860 int decodemodel( char model[], int lasto
|
Line 11021 int decodemodel( char model[], int lasto
|
* Tage[kk] [1]= 2 [2]=5 [3]=6 kk=1 to cptcovage=3 |
* Tage[kk] [1]= 2 [2]=5 [3]=6 kk=1 to cptcovage=3 |
* Tvar[Tage[kk]][1]=2 [2]=2 [3]=3 |
* Tvar[Tage[kk]][1]=2 [2]=2 [3]=3 |
*/ |
*/ |
Typevar[k]=2; /* 2 for double fixed dummy covariates */ |
Typevar[k]=2; /* 2 for product */ |
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; /* Tposprod[3]=1, Tposprod[2]=5 */ |
Tposprod[k]=k1; /* Tposprod[3]=1, Tposprod[2]=5 */ |
Line 10873 int decodemodel( char model[], int lasto
|
Line 11034 int decodemodel( char model[], int lasto
|
/* 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++){ |
if( FixedV[Tvardk[k][1]] == 0 && FixedV[Tvardk[k][2]] == 0){ /* If the product is a fixed covariate then we feed the new column with Vn*Vm */ |
|
for (i=1; i<=lastobs;i++){/* For fixed product */ |
/* 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[ncovcolt+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i]; |
} |
} |
|
} /*End of FixedV */ |
} /* 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 { /* not a product */ |
else { /* not a product */ |
Line 10929 Typevar: 0 for simple covariate (dummy,
|
Line 11092 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;k<=cptcovt; k++){ Fixed[k]=0; Dummy[k]=0;} |
for(k=-1;k<=cptcovt; k++){ Fixed[k]=0; Dummy[k]=0;} |
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 */ |
for(k=1, ncovf=0, nsd=0, nsq=0, ncovv=0, ncova=0, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0, ncovvt=0;k<=cptcovt; k++){ /* or cptocvt */ |
if (Tvar[k] <=ncovcol && Typevar[k]==0 ){ /* Simple 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; |
Line 10944 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11107 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
TvarFind[ncovf]=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 && Typevar[k]==2){ /* Product of fixed dummy (<=ncovcol) covariates */ |
/* }else if( Tvar[k] <=ncovcol && Typevar[k]==2){ /\* Product of fixed dummy (<=ncovcol) covariates For a fixed product k is higher than ncovcol *\/ */ |
|
}else if( Tposprod[k]>0 && Typevar[k]==2 && FixedV[Tvardk[k][1]] == 0 && FixedV[Tvardk[k][2]] == 0){ /* Needs a fixed product Product of fixed dummy (<=ncovcol) covariates For a fixed product k is higher than ncovcol */ |
Fixed[k]= 0; |
Fixed[k]= 0; |
Dummy[k]= 0; |
Dummy[k]= 0; |
ncoveff++; |
ncoveff++; |
Line 10970 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11134 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
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){/* Only simple time varying dummy variables */ |
}else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){/* Only simple time varying dummy variables */ |
|
/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
|
/* model V1+V3+age*V1+age*V3+V1*V3 */ |
|
/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
|
ncovvt++; |
|
TvarVV[ncovvt]=Tvar[k]; /* TvarVV[1]=V3 (first time varying in the model equation */ |
|
TvarVVind[ncovvt]=k; /* TvarVVind[1]=2 (second position in the model equation */ |
|
|
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 */ |
Line 10987 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11158 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
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*/ |
|
/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
|
/* model V1+V3+age*V1+age*V3+V1*V3 */ |
|
/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
|
ncovvt++; |
|
TvarVV[ncovvt]=Tvar[k]; /* TvarVV[1]=V3 (first time varying in the model equation */ |
|
TvarVVind[ncovvt]=k; /* TvarVV[1]=V3 (first time varying in the model equation */ |
|
|
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
nqtveff++; |
nqtveff++; |
Line 11033 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11211 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
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 Vn * Vm without age, V1+V3+age*V1+age*V3+V1*V3 looking at V1*V3, Typevar={0, 0, 1, 1, 2}, k=5, V1 is fixed, V3 is timevary, V5 is a product */ |
k1=Tposprod[k]; |
/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
if(Tvard[k1][1] <=ncovcol){ |
/* model V1+V3+age*V1+age*V3+V1*V3 */ |
if(Tvard[k1][2] <=ncovcol){ |
/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
|
k1=Tposprod[k]; /* Position in the products of product k, Tposprod={0, 0, 0, 0, 1} k1=1 first product but second time varying because of V3 */ |
|
ncovvt++; |
|
TvarVV[ncovvt]=Tvard[k1][1]; /* TvarVV[2]=V1 (because TvarVV[1] was V3, first time varying covariates */ |
|
TvarVVind[ncovvt]=k; /* TvarVVind[2]=5 (because TvarVVind[2] was V1*V3 at position 5 */ |
|
ncovvt++; |
|
TvarVV[ncovvt]=Tvard[k1][2]; /* TvarVV[3]=V3 */ |
|
TvarVVind[ncovvt]=k; /* TvarVVind[2]=5 (because TvarVVind[2] was V1*V3 at position 5 */ |
|
|
|
|
|
if(Tvard[k1][1] <=ncovcol){ /* Vn is dummy fixed, (Tvard[1][1]=V1), (Tvard[1][1]=V3 time varying) */ |
|
if(Tvard[k1][2] <=ncovcol){ /* Vm is dummy fixed */ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 0; |
Dummy[k]= 0; |
modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
Line 11044 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11233 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
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){ /* Vm is quanti fixed */ |
Fixed[k]= 0; /* or 2 ?*/ |
Fixed[k]= 0; /* Fixed product */ |
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){ /* Vm is a time varying dummy covariate */ |
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]; /* TvarV[1]=Tvar[5]=5 because there is a V4 */ |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k;/* TvarVind[1]=5 */ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ /* Vm is a time varying quantitative covariate */ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
Line 11069 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11258 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
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){ /* Vn is fixed quanti */ |
if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ /* Vm is fixed dummy */ |
Fixed[k]= 0; /* or 2 ?*/ |
Fixed[k]= 0; /* Fixed product */ |
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){ /* Vm is time varying */ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
Line 11086 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11275 Dummy[k] 0=dummy (0 1), 1 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+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ /* Vm is time varying quanti */ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
Line 11098 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11287 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
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){ /* Vn is time varying dummy */ |
if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
Line 11132 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11321 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
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){ /* Vn is time varying quanti */ |
if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
Line 11185 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11374 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
if((Typevar[k1]==Typevar[k2]) && (Fixed[k1]==Fixed[k2]) && (Dummy[k1]==Dummy[k2] )){ |
if((Typevar[k1]==Typevar[k2]) && (Fixed[k1]==Fixed[k2]) && (Dummy[k1]==Dummy[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[k1],Dummy[k1]); |
printf("Error duplication in the model=1+age+%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[k1],Dummy[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[k1],Dummy[k1]); fflush(ficlog); |
fprintf(ficlog,"Error duplication in the model=1+age+%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[k1],Dummy[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=1+age+%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=1+age+%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); |
} |
} |
} |
} |
Line 11553 int prevalence_limit(double *p, double *
|
Line 11742 int prevalence_limit(double *p, double *
|
/* for(k=1; k<=i1;k++){ /\* For each combination k of dummy covariates in the model *\/ */ |
/* for(k=1; k<=i1;k++){ /\* For each combination k of dummy covariates in the model *\/ */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
k=TKresult[nres]; |
k=TKresult[nres]; |
|
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
/* if(i1 != 1 && TKresult[nres]!= k) /\* We found the combination k corresponding to the resultline value of dummies *\/ */ |
/* if(i1 != 1 && TKresult[nres]!= k) /\* We found the combination k corresponding to the resultline value of dummies *\/ */ |
/* continue; */ |
/* continue; */ |
|
|
Line 11658 int back_prevalence_limit(double *p, dou
|
Line 11848 int back_prevalence_limit(double *p, dou
|
if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
|
|
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ |
/* for(k=1; k<=i1;k++){ /\* For any combination of dummy covariates, fixed and varying *\/ */ |
if(i1 != 1 && TKresult[nres]!= k) |
k=TKresult[nres]; |
continue; |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
/*printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));*/ |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
|
/* continue; */ |
|
/* /\*printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));*\/ */ |
fprintf(ficresplb,"#******"); |
fprintf(ficresplb,"#******"); |
printf("#******"); |
printf("#******"); |
fprintf(ficlog,"#******"); |
fprintf(ficlog,"#******"); |
for(j=1;j<=cptcoveff ;j++) {/* all covariates */ |
for(j=1;j<=cptcovs ;j++) {/**< cptcovs number of SIMPLE covariates in the model or resultline V2+V1 =2 (dummy or quantit or time varying) */ |
fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
printf(" V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficresplb," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficlog," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
} |
|
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
|
printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
|
fprintf(ficresplb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
|
fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
|
} |
} |
|
/* for(j=1;j<=cptcoveff ;j++) {/\* all covariates *\/ */ |
|
/* fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
|
/* printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
|
/* fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
|
/* } */ |
|
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ */ |
|
/* printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
|
/* fprintf(ficresplb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
|
/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
|
/* } */ |
fprintf(ficresplb,"******\n"); |
fprintf(ficresplb,"******\n"); |
printf("******\n"); |
printf("******\n"); |
fprintf(ficlog,"******\n"); |
fprintf(ficlog,"******\n"); |
Line 11686 int back_prevalence_limit(double *p, dou
|
Line 11883 int back_prevalence_limit(double *p, dou
|
} |
} |
|
|
fprintf(ficresplb,"#Age "); |
fprintf(ficresplb,"#Age "); |
for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcovs;j++) { |
fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficresplb,"V%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][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); |
fprintf(ficresplb,"Total Years_to_converge\n"); |
fprintf(ficresplb,"Total Years_to_converge\n"); |
Line 11710 int back_prevalence_limit(double *p, dou
|
Line 11907 int back_prevalence_limit(double *p, dou
|
/* exit(1); */ |
/* exit(1); */ |
} |
} |
fprintf(ficresplb,"%.0f ",age ); |
fprintf(ficresplb,"%.0f ",age ); |
for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcovs;j++) |
fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficresplb,"%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
tot=0.; |
tot=0.; |
for(i=1; i<=nlstate;i++){ |
for(i=1; i<=nlstate;i++){ |
tot += bprlim[i][i]; |
tot += bprlim[i][i]; |
Line 11721 int back_prevalence_limit(double *p, dou
|
Line 11918 int back_prevalence_limit(double *p, dou
|
} /* Age */ |
} /* Age */ |
/* was end of cptcod */ |
/* was end of cptcod */ |
/*fprintf(ficresplb,"\n");*/ /* Seems to be necessary for gnuplot only if two result lines and no covariate. */ |
/*fprintf(ficresplb,"\n");*/ /* Seems to be necessary for gnuplot only if two result lines and no covariate. */ |
} /* end of any combination */ |
/* } /\* end of any combination *\/ */ |
} /* end of nres */ |
} /* end of nres */ |
/* hBijx(p, bage, fage); */ |
/* hBijx(p, bage, fage); */ |
/* fclose(ficrespijb); */ |
/* fclose(ficrespijb); */ |
Line 11765 int hPijx(double *p, int bage, int fage)
|
Line 11962 int hPijx(double *p, int bage, int fage)
|
/* k=k+1; */ |
/* k=k+1; */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
k=TKresult[nres]; |
k=TKresult[nres]; |
|
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
/* for(k=1; k<=i1;k++){ */ |
/* for(k=1; k<=i1;k++){ */ |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
/* continue; */ |
/* continue; */ |
Line 11846 int hPijx(double *p, int bage, int fage)
|
Line 12044 int hPijx(double *p, int bage, int fage)
|
/* k=k+1; */ |
/* k=k+1; */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
k=TKresult[nres]; |
k=TKresult[nres]; |
|
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
/* for(k=1; k<=i1;k++){ /\* For any combination of dummy covariates, fixed and varying *\/ */ |
/* for(k=1; k<=i1;k++){ /\* For any combination of dummy covariates, fixed and varying *\/ */ |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
/* continue; */ |
/* continue; */ |
fprintf(ficrespijb,"\n#****** "); |
fprintf(ficrespijb,"\n#****** "); |
for(j=1;j<=cptcovs;j++){ |
for(j=1;j<=cptcovs;j++){ |
fprintf(ficrespij," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
fprintf(ficrespijb," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
/* for(j=1;j<=cptcoveff;j++) */ |
/* for(j=1;j<=cptcoveff;j++) */ |
/* fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
/* fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ */ |
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ */ |
Line 12291 int main(int argc, char *argv[])
|
Line 12490 int main(int argc, char *argv[])
|
strcpy(model,modeltemp); |
strcpy(model,modeltemp); |
} |
} |
} |
} |
/* printf(" model=1+age%s modeltemp= %s, model=%s\n",model, modeltemp, model);fflush(stdout); */ |
/* printf(" model=1+age%s modeltemp= %s, model=1+age+%s\n",model, modeltemp, model);fflush(stdout); */ |
printf("model=1+age+%s\n",model);fflush(stdout); |
printf("model=1+age+%s\n",model);fflush(stdout); |
fprintf(ficparo,"model=1+age+%s\n",model);fflush(stdout); |
fprintf(ficparo,"model=1+age+%s\n",model);fflush(stdout); |
fprintf(ficres,"model=1+age+%s\n",model);fflush(stdout); |
fprintf(ficres,"model=1+age+%s\n",model);fflush(stdout); |
Line 12332 int main(int argc, char *argv[])
|
Line 12531 int main(int argc, char *argv[])
|
covar=matrix(0,NCOVMAX,firstobs,lastobs); /**< used in readdata */ |
covar=matrix(0,NCOVMAX,firstobs,lastobs); /**< used in readdata */ |
if(nqv>=1)coqvar=matrix(1,nqv,firstobs,lastobs); /**< Fixed quantitative covariate */ |
if(nqv>=1)coqvar=matrix(1,nqv,firstobs,lastobs); /**< Fixed quantitative covariate */ |
if(nqtv>=1)cotqvar=ma3x(1,maxwav,1,nqtv,firstobs,lastobs); /**< Time varying quantitative covariate */ |
if(nqtv>=1)cotqvar=ma3x(1,maxwav,1,nqtv,firstobs,lastobs); /**< Time varying quantitative covariate */ |
if(ntv+nqtv>=1)cotvar=ma3x(1,maxwav,1,ntv+nqtv,firstobs,lastobs); /**< Time varying covariate (dummy and quantitative)*/ |
/* if(ntv+nqtv>=1)cotvar=ma3x(1,maxwav,1,ntv+nqtv,firstobs,lastobs); /\**< Time varying covariate (dummy and quantitative)*\/ */ |
|
if(ntv+nqtv>=1)cotvar=ma3x(1,maxwav,ncovcol+nqv+1,ncovcol+nqv+ntv+nqtv,firstobs,lastobs); /**< Might be better */ |
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 12613 Please run with mle=-1 to get a correct
|
Line 12813 Please run with mle=-1 to get a correct
|
TvarVDind=ivector(1,NCOVMAX); /* */ |
TvarVDind=ivector(1,NCOVMAX); /* */ |
TvarVQ=ivector(1,NCOVMAX); /* */ |
TvarVQ=ivector(1,NCOVMAX); /* */ |
TvarVQind=ivector(1,NCOVMAX); /* */ |
TvarVQind=ivector(1,NCOVMAX); /* */ |
|
TvarVV=ivector(1,NCOVMAX); /* */ |
|
TvarVVind=ivector(1,NCOVMAX); /* */ |
|
|
Tvalsel=vector(1,NCOVMAX); /* */ |
Tvalsel=vector(1,NCOVMAX); /* */ |
Tvarsel=ivector(1,NCOVMAX); /* */ |
Tvarsel=ivector(1,NCOVMAX); /* */ |
Line 12722 Please run with mle=-1 to get a correct
|
Line 12924 Please run with mle=-1 to get a correct
|
} |
} |
|
|
ncovcombmax=pow(2,cptcoveff); |
ncovcombmax=pow(2,cptcoveff); |
invalidvarcomb=ivector(1, ncovcombmax); |
invalidvarcomb=ivector(0, ncovcombmax); |
for(i=1;i<ncovcombmax;i++) |
for(i=0;i<ncovcombmax;i++) |
invalidvarcomb[i]=0; |
invalidvarcomb[i]=0; |
|
|
/* Nbcode gives the value of the lth modality (currently 1 to 2) of jth covariate, in |
/* Nbcode gives the value of the lth modality (currently 1 to 2) of jth covariate, in |
Line 14134 Please run with mle=-1 to get a correct
|
Line 14336 Please run with mle=-1 to get a correct
|
free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath); |
if(ntv+nqtv>=1)free_ma3x(cotvar,1,maxwav,1,ntv+nqtv,firstobs,lastobs); |
/* if(ntv+nqtv>=1)free_ma3x(cotvar,1,maxwav,1,ntv+nqtv,firstobs,lastobs); */ |
|
if(ntv+nqtv>=1)free_ma3x(cotvar,1,maxwav,ncovcol+nqv+1,ncovcol+nqv+ntv+nqtv,firstobs,lastobs); |
if(nqtv>=1)free_ma3x(cotqvar,1,maxwav,1,nqtv,firstobs,lastobs); |
if(nqtv>=1)free_ma3x(cotqvar,1,maxwav,1,nqtv,firstobs,lastobs); |
if(nqv>=1)free_matrix(coqvar,1,nqv,firstobs,lastobs); |
if(nqv>=1)free_matrix(coqvar,1,nqv,firstobs,lastobs); |
free_matrix(covar,0,NCOVMAX,firstobs,lastobs); |
free_matrix(covar,0,NCOVMAX,firstobs,lastobs); |
Line 14173 Please run with mle=-1 to get a correct
|
Line 14376 Please run with mle=-1 to get a correct
|
free_ivector(TvarVDind,1,NCOVMAX); |
free_ivector(TvarVDind,1,NCOVMAX); |
free_ivector(TvarVQ,1,NCOVMAX); |
free_ivector(TvarVQ,1,NCOVMAX); |
free_ivector(TvarVQind,1,NCOVMAX); |
free_ivector(TvarVQind,1,NCOVMAX); |
|
free_ivector(TvarVV,1,NCOVMAX); |
|
free_ivector(TvarVVind,1,NCOVMAX); |
|
|
free_ivector(Tvarsel,1,NCOVMAX); |
free_ivector(Tvarsel,1,NCOVMAX); |
free_vector(Tvalsel,1,NCOVMAX); |
free_vector(Tvalsel,1,NCOVMAX); |
free_ivector(Tposprod,1,NCOVMAX); |
free_ivector(Tposprod,1,NCOVMAX); |
free_ivector(Tprod,1,NCOVMAX); |
free_ivector(Tprod,1,NCOVMAX); |
free_ivector(Tvaraff,1,NCOVMAX); |
free_ivector(Tvaraff,1,NCOVMAX); |
free_ivector(invalidvarcomb,1,ncovcombmax); |
free_ivector(invalidvarcomb,0,ncovcombmax); |
free_ivector(Tage,1,NCOVMAX); |
free_ivector(Tage,1,NCOVMAX); |
free_ivector(Tmodelind,1,NCOVMAX); |
free_ivector(Tmodelind,1,NCOVMAX); |
free_ivector(TmodelInvind,1,NCOVMAX); |
free_ivector(TmodelInvind,1,NCOVMAX); |