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version 1.224, 2016/07/01 13:16:01
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version 1.227, 2016/07/21 08:43:33
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| /* $Id$ |
/* $Id$ |
| $State$ |
$State$ |
| $Log$ |
$Log$ |
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Revision 1.227 2016/07/21 08:43:33 brouard |
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Summary: 0.99 working (more or less) for Asian Workshop on multitate methods |
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Revision 1.226 2016/07/12 18:42:34 brouard |
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Summary: temp |
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Revision 1.225 2016/07/12 08:40:03 brouard |
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Summary: saving but not running |
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| Revision 1.224 2016/07/01 13:16:01 brouard |
Revision 1.224 2016/07/01 13:16:01 brouard |
| Summary: Fixes |
Summary: Fixes |
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| Short summary of the programme: |
Short summary of the programme: |
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| This program computes Healthy Life Expectancies from |
This program computes Healthy Life Expectancies or State-specific |
| cross-longitudinal data. Cross-longitudinal data consist in: -1- a |
(if states aren't health statuses) Expectancies from |
| first survey ("cross") where individuals from different ages are |
cross-longitudinal data. Cross-longitudinal data consist in: |
| interviewed on their health status or degree of disability (in the |
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| case of a health survey which is our main interest) -2- at least a |
-1- a first survey ("cross") where individuals from different ages |
| second wave of interviews ("longitudinal") which measure each change |
are interviewed on their health status or degree of disability (in |
| (if any) in individual health status. Health expectancies are |
the case of a health survey which is our main interest) |
| computed from the time spent in each health state according to a |
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| model. More health states you consider, more time is necessary to reach the |
-2- at least a second wave of interviews ("longitudinal") which |
| Maximum Likelihood of the parameters involved in the model. The |
measure each change (if any) in individual health status. Health |
| simplest model is the multinomial logistic model where pij is the |
expectancies are computed from the time spent in each health state |
| probability to be observed in state j at the second wave |
according to a model. More health states you consider, more time is |
| conditional to be observed in state i at the first wave. Therefore |
necessary to reach the Maximum Likelihood of the parameters involved |
| the model is: log(pij/pii)= aij + bij*age+ cij*sex + etc , where |
in the model. The simplest model is the multinomial logistic model |
| 'age' is age and 'sex' is a covariate. If you want to have a more |
where pij is the probability to be observed in state j at the second |
| complex model than "constant and age", you should modify the program |
wave conditional to be observed in state i at the first |
| where the markup *Covariates have to be included here again* invites |
wave. Therefore the model is: log(pij/pii)= aij + bij*age+ cij*sex + |
| you to do it. More covariates you add, slower the |
etc , where 'age' is age and 'sex' is a covariate. If you want to |
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have a more complex model than "constant and age", you should modify |
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the program where the markup *Covariates have to be included here |
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again* invites you to do it. More covariates you add, slower the |
| convergence. |
convergence. |
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| The advantage of this computer programme, compared to a simple |
The advantage of this computer programme, compared to a simple |
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| of the life expectancies. It also computes the period (stable) prevalence. |
of the life expectancies. It also computes the period (stable) prevalence. |
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| Back prevalence and projections: |
Back prevalence and projections: |
| - back_prevalence_limit(double *p, double **bprlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp, double dateprev1,double dateprev2, int firstpass, int lastpass, int mobilavproj) |
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| Computes the back prevalence limit for any combination of covariate values k |
- back_prevalence_limit(double *p, double **bprlim, double ageminpar, |
| at any age between ageminpar and agemaxpar and returns it in **bprlim. In the loops, |
double agemaxpar, double ftolpl, int *ncvyearp, double |
| - **bprevalim(**bprlim, ***mobaverage, nlstate, *p, age, **oldm, **savm, **dnewm, **doldm, **dsavm, ftolpl, ncvyearp, k); |
dateprev1,double dateprev2, int firstpass, int lastpass, int |
| - hBijx Back Probability to be in state i at age x-h being in j at x |
mobilavproj) |
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Computes the back prevalence limit for any combination of |
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covariate values k at any age between ageminpar and agemaxpar and |
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returns it in **bprlim. In the loops, |
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- **bprevalim(**bprlim, ***mobaverage, nlstate, *p, age, **oldm, |
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**savm, **dnewm, **doldm, **dsavm, ftolpl, ncvyearp, k); |
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- hBijx Back Probability to be in state i at age x-h being in j at x |
| Computes for any combination of covariates k and any age between bage and fage |
Computes for any combination of covariates k and any age between bage and fage |
| p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| oldm=oldms;savm=savms; |
oldm=oldms;savm=savms; |
| - hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); |
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- hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); |
| Computes the transition matrix starting at age 'age' over |
Computes the transition matrix starting at age 'age' over |
| 'nhstepm*hstepm*stepm' months (i.e. until |
'nhstepm*hstepm*stepm' months (i.e. until |
| age (in years) age+nhstepm*hstepm*stepm/12) by multiplying |
age (in years) age+nhstepm*hstepm*stepm/12) by multiplying |
| nhstepm*hstepm matrices. Returns p3mat[i][j][h] after calling |
nhstepm*hstepm matrices. |
| p3mat[i][j][h]=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij),\ |
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| 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); |
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Returns p3mat[i][j][h] after calling |
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p3mat[i][j][h]=matprod2(newm, |
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bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, |
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dsavm,ij),\ 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, |
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oldm); |
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Important routines |
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- func (or funcone), computes logit (pij) distinguishing |
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o fixed variables (single or product dummies or quantitative); |
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o varying variables by: |
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(1) wave (single, product dummies, quantitative), |
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(2) by age (can be month) age (done), age*age (done), age*Vn where Vn can be: |
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% fixed dummy (treated) or quantitative (not done because time-consuming); |
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% varying dummy (not done) or quantitative (not done); |
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- Tricode which tests the modality of dummy variables (in order to warn with wrong or empty modalities) |
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and returns the number of efficient covariates cptcoveff and modalities nbcode[Tvar[k]][1]= 0 and nbcode[Tvar[k]][2]= 1 usually. |
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- printinghtml which outputs results like life expectancy in and from a state for a combination of modalities of dummy variables |
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o There are 2*cptcoveff combinations of (0,1) for cptcoveff variables. Outputting only combinations with people, éliminating 1 1 if |
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race White (0 0), Black vs White (1 0), Hispanic (0 1) and 1 1 being meaningless. |
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| Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr). |
Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr). |
| Institut national d'études démographiques, Paris. |
Institut national d'études démographiques, Paris. |
| This software have been partly granted by Euro-REVES, a concerted action |
This software have been partly granted by Euro-REVES, a concerted action |
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Line 758 Back prevalence and projections:
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Line 801 Back prevalence and projections:
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| #include <stdio.h> |
#include <stdio.h> |
| #include <stdlib.h> |
#include <stdlib.h> |
| #include <string.h> |
#include <string.h> |
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#include <ctype.h> |
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|
| #ifdef _WIN32 |
#ifdef _WIN32 |
| #include <io.h> |
#include <io.h> |
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Line 853 int nagesqr=0, nforce=0; /* nagesqr=1 if
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Line 897 int nagesqr=0, nforce=0; /* nagesqr=1 if
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| /* Number of covariates model=V2+V1+ V3*age+V2*V4 */ |
/* Number of covariates model=V2+V1+ V3*age+V2*V4 */ |
| int cptcovn=0; /**< cptcovn number of covariates added in the model (excepting constant and age and age*product) */ |
int cptcovn=0; /**< cptcovn number of covariates added in the model (excepting constant and age and age*product) */ |
| int cptcovt=0; /**< cptcovt number of covariates added in the model (excepting constant and age) */ |
int cptcovt=0; /**< cptcovt number of covariates added in the model (excepting constant and age) */ |
| int cptcovs=0; /**< cptcovs number of simple covariates V2+V1 =2 */ |
int cptcovs=0; /**< cptcovs number of simple covariates in the model V2+V1 =2 */ |
| |
int cptcovsnq=0; /**< cptcovsnq number of simple covariates in the model but non quantitative V2+V1 =2 */ |
| int cptcovage=0; /**< Number of covariates with age: V3*age only =1 */ |
int cptcovage=0; /**< Number of covariates with age: V3*age only =1 */ |
| int cptcovprodnoage=0; /**< Number of covariate products without age */ |
int cptcovprodnoage=0; /**< Number of covariate products without age */ |
| int cptcoveff=0; /* Total number of covariates to vary for printing results */ |
int cptcoveff=0; /* Total number of covariates to vary for printing results */ |
| int ncoveff=0; /* Total number of effective covariates in the model */ |
int ncoveff=0; /* Total number of effective covariates in the model */ |
| int nqveff=0; /**< nqveff number of effective quantitative variables */ |
int nqfveff=0; /**< nqfveff Number of Quantitative Fixed Variables Effective */ |
| int ntveff=0; /**< ntveff number of effective time varying variables */ |
int ntveff=0; /**< ntveff number of effective time varying variables */ |
| int nqtveff=0; /**< ntqveff number of effective time varying quantitative variables */ |
int nqtveff=0; /**< ntqveff number of effective time varying quantitative variables */ |
| int cptcov=0; /* Working variable */ |
int cptcov=0; /* Working variable */ |
|
Line 1006 double *agedc;
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Line 1051 double *agedc;
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| double **covar; /**< covar[j,i], value of jth covariate for individual i, |
double **covar; /**< covar[j,i], value of jth covariate for individual i, |
| * covar=matrix(0,NCOVMAX,1,n); |
* covar=matrix(0,NCOVMAX,1,n); |
| * cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*age; */ |
* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*age; */ |
| double **coqvar; /* Fixed quantitative covariate */ |
double **coqvar; /* Fixed quantitative covariate iqv */ |
| double ***cotvar; /* Time varying covariate */ |
double ***cotvar; /* Time varying covariate itv */ |
| double ***cotqvar; /* Time varying quantitative covariate */ |
double ***cotqvar; /* Time varying quantitative covariate itqv */ |
| double idx; |
double idx; |
| int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */ |
int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */ |
| |
int *Typevar; /**< 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */ |
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int *Fixed; /** Fixed[k] 0=fixed, 1 varying, 2 fixed with age product, 3 varying with age product */ |
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int *Dummy; /** Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product */ |
| int *Tage; |
int *Tage; |
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int anyvaryingduminmodel=0; /**< Any varying dummy in Model=1 yes, 0 no, to avoid a loop on waves in freq */ |
| |
int *Tmodelind; /** Tmodelind[Tvaraff[3]]=9,Tvaraff[1]@9={4, 3, 1, 0, 0, 0, 0, 0, 0}, model=V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1*/ |
| int *Ndum; /** Freq of modality (tricode */ |
int *Ndum; /** Freq of modality (tricode */ |
| /* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */ |
/* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */ |
| int **Tvard, *Tprod, cptcovprod, *Tvaraff, *invalidvarcomb; |
int **Tvard; |
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int *Tprod;/**< Gives the k position of the k1 product */ |
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int *Tposprod; /**< Gives the k1 product from the k position */ |
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/* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3 |
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if V2+V1+V1*V4+age*V3+V3*V2 TProd[k1=2]=5 (V3*V2) |
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Tposprod[k]=k1 , Tposprod[3]=1, Tposprod[5]=2 |
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*/ |
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int cptcovprod, *Tvaraff, *invalidvarcomb; |
| double *lsurv, *lpop, *tpop; |
double *lsurv, *lpop, *tpop; |
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|
| double ftol=FTOL; /**< Tolerance for computing Max Likelihood */ |
double ftol=FTOL; /**< Tolerance for computing Max Likelihood */ |
|
Line 1876 function value at p , and iter is the nu
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Line 1933 function value at p , and iter is the nu
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| #ifdef LINMINORIGINAL |
#ifdef LINMINORIGINAL |
| #else |
#else |
| int *flatdir; /* Function is vanishing in that direction */ |
int *flatdir; /* Function is vanishing in that direction */ |
| int flat=0; /* Function is vanishing in that direction */ |
int flat=0, flatd=0; /* Function is vanishing in that direction */ |
| #endif |
#endif |
| void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret, |
void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret, |
| double (*func)(double [])) |
double (*func)(double [])) |
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Line 1980 void powell(double p[], double **xi, int
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Line 2037 void powell(double p[], double **xi, int
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| fprintf(ficlog," x(%d)=%.12e",j,xit[j]); |
fprintf(ficlog," x(%d)=%.12e",j,xit[j]); |
| } |
} |
| for(j=1;j<=n;j++) { |
for(j=1;j<=n;j++) { |
| printf(" p(%d)=%lf ",j,p[j]); |
printf(" p(%d)=%.12e",j,p[j]); |
| fprintf(ficlog," p(%d)=%lf ",j,p[j]); |
fprintf(ficlog," p(%d)=%.12e",j,p[j]); |
| } |
} |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
|
Line 1991 void powell(double p[], double **xi, int
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Line 2048 void powell(double p[], double **xi, int
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| /* But p and xit have been updated at the end of linmin, *fret corresponds to new p, xit */ |
/* But p and xit have been updated at the end of linmin, *fret corresponds to new p, xit */ |
| /* New value of last point Pn is not computed, P(n-1) */ |
/* New value of last point Pn is not computed, P(n-1) */ |
| for(j=1;j<=n;j++) { |
for(j=1;j<=n;j++) { |
| printf(" p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); |
if(flatdir[j] >0){ |
| fprintf(ficlog," p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); |
printf(" p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); |
| } |
fprintf(ficlog," p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); |
| printf("\n"); |
} |
| fprintf(ficlog,"\n"); |
/* printf("\n"); */ |
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/* fprintf(ficlog,"\n"); */ |
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} |
| if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /* Did we reach enough precision? */ |
if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /* Did we reach enough precision? */ |
| /* We could compare with a chi^2. chisquare(0.95,ddl=1)=3.84 */ |
/* We could compare with a chi^2. chisquare(0.95,ddl=1)=3.84 */ |
| /* By adding age*age in a model, the new -2LL should be lower and the difference follows a */ |
/* By adding age*age in a model, the new -2LL should be lower and the difference follows a */ |
|
Line 2052 void powell(double p[], double **xi, int
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Line 2110 void powell(double p[], double **xi, int
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| fptt=(*func)(ptt); /* f_3 */ |
fptt=(*func)(ptt); /* f_3 */ |
| #ifdef NODIRECTIONCHANGEDUNTILNITER /* No change in drections until some iterations are done */ |
#ifdef NODIRECTIONCHANGEDUNTILNITER /* No change in drections until some iterations are done */ |
| if (*iter <=4) { |
if (*iter <=4) { |
| #else |
#else |
| |
#endif |
| #ifdef POWELLNOF3INFF1TEST /* skips test F3 <F1 */ |
#ifdef POWELLNOF3INFF1TEST /* skips test F3 <F1 */ |
| #else |
#else |
| if (fptt < fp) { /* If extrapolated point is better, decide if we keep that new direction or not */ |
if (fptt < fp) { /* If extrapolated point is better, decide if we keep that new direction or not */ |
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Line 2134 void powell(double p[], double **xi, int
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Line 2193 void powell(double p[], double **xi, int
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| } |
} |
| #ifdef LINMINORIGINAL |
#ifdef LINMINORIGINAL |
| #else |
#else |
| printf("Flat directions\n"); |
for (j=1, flatd=0;j<=n;j++) { |
| fprintf(ficlog,"Flat directions\n"); |
if(flatdir[j]>0) |
| for (j=1;j<=n;j++) { |
flatd++; |
| printf("flatdir[%d]=%d ",j,flatdir[j]); |
} |
| fprintf(ficlog,"flatdir[%d]=%d ",j,flatdir[j]); |
if(flatd >0){ |
| } |
printf("%d flat directions\n",flatd); |
| printf("\n"); |
fprintf(ficlog,"%d flat directions\n",flatd); |
| fprintf(ficlog,"\n"); |
for (j=1;j<=n;j++) { |
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if(flatdir[j]>0){ |
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printf("%d ",j); |
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fprintf(ficlog,"%d ",j); |
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} |
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} |
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printf("\n"); |
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fprintf(ficlog,"\n"); |
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} |
| #endif |
#endif |
| printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); |
printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); |
| fprintf(ficlog,"Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); |
fprintf(ficlog,"Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); |
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Line 2161 void powell(double p[], double **xi, int
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Line 2228 void powell(double p[], double **xi, int
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| #else |
#else |
| } /* end if (fptt < fp) */ |
} /* end if (fptt < fp) */ |
| #endif |
#endif |
| |
#ifdef NODIRECTIONCHANGEDUNTILNITER /* No change in drections until some iterations are done */ |
| } /*NODIRECTIONCHANGEDUNTILNITER No change in drections until some iterations are done */ |
} /*NODIRECTIONCHANGEDUNTILNITER No change in drections until some iterations are done */ |
| |
#else |
| #endif |
#endif |
| } /* loop iteration */ |
} /* loop iteration */ |
| } |
} |
|
Line 2714 double ***hpxij(double ***po, int nhstep
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Line 2783 double ***hpxij(double ***po, int nhstep
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| agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; /* age just before transition */ |
agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; /* age just before transition */ |
| cov[2]=agexact; |
cov[2]=agexact; |
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
| for (k=1; k<=cptcovn;k++) |
for (k=1; k<=cptcovn;k++) |
| cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; |
cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; |
| /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */ |
/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */ |
| for (k=1; k<=cptcovage;k++) /* Should start at cptcovn+1 */ |
for (k=1; k<=cptcovage;k++) /* Should start at cptcovn+1 */ |
| /* cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ |
/* cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ |
| cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
| /* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]*cov[2]; */ |
/* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]*cov[2]; */ |
| for (k=1; k<=cptcovprod;k++) /* Useless because included in cptcovn */ |
for (k=1; k<=cptcovprod;k++) /* Useless because included in cptcovn */ |
| cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; |
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; |
| /* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]*nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]*nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ |
| |
|
| |
|
| /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/ |
/*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/ |
| /*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/ |
/*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/ |
| /* right multiplication of oldm by the current matrix */ |
/* right multiplication of oldm by the current matrix */ |
|
Line 2873 double ***hbxij(double ***po, int nhstep
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Line 2942 double ***hbxij(double ***po, int nhstep
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| /*************** log-likelihood *************/ |
/*************** log-likelihood *************/ |
| double func( double *x) |
double func( double *x) |
| { |
{ |
| int i, ii, j, k, mi, d, kk; |
int i, ii, j, k, mi, d, kk; |
| int ioffset=0; |
int ioffset=0; |
| double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; |
double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; |
| double **out; |
double **out; |
| double sw; /* Sum of weights */ |
double sw; /* Sum of weights */ |
| double lli; /* Individual log likelihood */ |
double lli; /* Individual log likelihood */ |
| int s1, s2; |
int s1, s2; |
| int iv=0, iqv=0, itv=0, iqtv=0 ; /* Index of varying covariate, fixed quantitative cov, time varying covariate */ |
int iv=0, iqv=0, itv=0, iqtv=0 ; /* Index of varying covariate, fixed quantitative cov, time varying covariate, quatitative time varying covariate */ |
| double bbh, survp; |
double bbh, survp; |
| long ipmx; |
long ipmx; |
| double agexact; |
double agexact; |
| /*extern weight */ |
/*extern weight */ |
| /* We are differentiating ll according to initial status */ |
/* We are differentiating ll according to initial status */ |
| /* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/ |
/* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/ |
| /*for(i=1;i<imx;i++) |
/*for(i=1;i<imx;i++) |
| printf(" %d\n",s[4][i]); |
printf(" %d\n",s[4][i]); |
| */ |
*/ |
| |
|
| ++countcallfunc; |
++countcallfunc; |
| |
|
| cov[1]=1.; |
cov[1]=1.; |
| |
|
| for(k=1; k<=nlstate; k++) ll[k]=0.; |
for(k=1; k<=nlstate; k++) ll[k]=0.; |
| ioffset=0; |
ioffset=0; |
| if(mle==1){ |
if(mle==1){ |
| for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
| /* Computes the values of the ncovmodel covariates of the model |
/* Computes the values of the ncovmodel covariates of the model |
| depending if the covariates are fixed or varying (age dependent) and stores them in cov[] |
depending if the covariates are fixed or varying (age dependent) and stores them in cov[] |
| Then computes with function pmij which return a matrix p[i][j] giving the elementary probability |
Then computes with function pmij which return a matrix p[i][j] giving the elementary probability |
| to be observed in j being in i according to the model. |
to be observed in j being in i according to the model. |
| */ |
*/ |
| ioffset=2+nagesqr+cptcovage; |
ioffset=2+nagesqr+cptcovage; |
| /* for (k=1; k<=cptcovn;k++){ /\* Simple and product covariates without age* products *\/ */ |
/* for (k=1; k<=cptcovn;k++){ /\* Simple and product covariates without age* products *\/ */ |
| for (k=1; k<=ncoveff;k++){ /* Simple and product covariates without age* products */ |
for (k=1; k<=ncoveff;k++){ /* Simple and product covariates without age* products */ |
| cov[++ioffset]=covar[Tvar[k]][i]; |
cov[++ioffset]=covar[Tvar[k]][i]; |
| } |
} |
| for(iqv=1; iqv <= nqveff; iqv++){ /* Quantitatives covariates */ |
for(iqv=1; iqv <= nqfveff; iqv++){ /* Quantitatives and Fixed covariates */ |
| cov[++ioffset]=coqvar[iqv][i]; |
cov[++ioffset]=coqvar[iqv][i]; |
| } |
} |
| |
|
| /* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] |
/* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] |
| is 6, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2] |
is 6, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2] |
| has been calculated etc */ |
has been calculated etc */ |
| /* For an individual i, wav[i] gives the number of effective waves */ |
/* For an individual i, wav[i] gives the number of effective waves */ |
| /* We compute the contribution to Likelihood of each effective transition |
/* We compute the contribution to Likelihood of each effective transition |
| 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] |
| 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++){ |
for(mi=1; mi<= wav[i]-1; mi++){ |
| for(itv=1; itv <= ntveff; itv++){ /* Varying dummy covariates */ |
for(itv=1; itv <= ntveff; itv++){ /* Varying dummy covariates */ |
| cov[ioffset+itv]=cotvar[mw[mi][i]][itv][i]; |
cov[ioffset+itv]=cotvar[mw[mi][i]][itv][i]; |
| } |
} |
| for(iqtv=1; iqtv <= nqtveff; iqtv++){ /* Varying quantitatives covariates */ |
for(iqtv=1; iqtv <= nqtveff; iqtv++){ /* Varying quantitatives covariates */ |
| cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][iqtv][i]; |
if(cotqvar[mw[mi][i]][iqtv][i] == -1){ |
| } |
printf("i=%d, mi=%d, iqtv=%d, cotqvar[mw[mi][i]][iqtv][i]=%f",i,mi,iqtv,cotqvar[mw[mi][i]][iqtv][i]); |
| /* ioffset=2+nagesqr+cptcovn+nqv+ntv+nqtv; */ |
} |
| for (ii=1;ii<=nlstate+ndeath;ii++) |
cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][iqtv][i]; |
| for (j=1;j<=nlstate+ndeath;j++){ |
} |
| oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
/* ioffset=2+nagesqr+cptcovn+nqv+ntv+nqtv; */ |
| savm[ii][j]=(ii==j ? 1.0 : 0.0); |
for (ii=1;ii<=nlstate+ndeath;ii++) |
| } |
for (j=1;j<=nlstate+ndeath;j++){ |
| for(d=0; d<dh[mi][i]; d++){ |
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
| newm=savm; |
savm[ii][j]=(ii==j ? 1.0 : 0.0); |
| agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
} |
| cov[2]=agexact; |
for(d=0; d<dh[mi][i]; d++){ |
| if(nagesqr==1) |
newm=savm; |
| cov[3]= agexact*agexact; /* Should be changed here */ |
agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
| for (kk=1; kk<=cptcovage;kk++) { |
cov[2]=agexact; |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ |
if(nagesqr==1) |
| } |
cov[3]= agexact*agexact; /* Should be changed here */ |
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
for (kk=1; kk<=cptcovage;kk++) { |
| 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ |
| savm=oldm; |
} |
| oldm=newm; |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| } /* end mult */ |
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
| |
savm=oldm; |
| |
oldm=newm; |
| |
} /* end mult */ |
| |
|
| /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */ |
/*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */ |
| /* But now since version 0.9 we anticipate for bias at large stepm. |
/* But now since version 0.9 we anticipate for bias at large stepm. |
| * If stepm is larger than one month (smallest stepm) and if the exact delay |
* If stepm is larger than one month (smallest stepm) and if the exact delay |
| * (in months) between two waves is not a multiple of stepm, we rounded to |
* (in months) between two waves is not a multiple of stepm, we rounded to |
| * the nearest (and in case of equal distance, to the lowest) interval but now |
* the nearest (and in case of equal distance, to the lowest) interval but now |
| * we keep into memory the bias bh[mi][i] and also the previous matrix product |
* we keep into memory the bias bh[mi][i] and also the previous matrix product |
| * (i.e to dh[mi][i]-1) saved in 'savm'. Then we inter(extra)polate the |
* (i.e to dh[mi][i]-1) saved in 'savm'. Then we inter(extra)polate the |
| * probability in order to take into account the bias as a fraction of the way |
* probability in order to take into account the bias as a fraction of the way |
| * from savm to out if bh is negative or even beyond if bh is positive. bh varies |
* from savm to out if bh is negative or even beyond if bh is positive. bh varies |
| * -stepm/2 to stepm/2 . |
* -stepm/2 to stepm/2 . |
| * For stepm=1 the results are the same as for previous versions of Imach. |
* For stepm=1 the results are the same as for previous versions of Imach. |
| * For stepm > 1 the results are less biased than in previous versions. |
* For stepm > 1 the results are less biased than in previous versions. |
| */ |
*/ |
| s1=s[mw[mi][i]][i]; |
s1=s[mw[mi][i]][i]; |
| s2=s[mw[mi+1][i]][i]; |
s2=s[mw[mi+1][i]][i]; |
| bbh=(double)bh[mi][i]/(double)stepm; |
bbh=(double)bh[mi][i]/(double)stepm; |
| /* bias bh is positive if real duration |
/* bias bh is positive if real duration |
| * is higher than the multiple of stepm and negative otherwise. |
* is higher than the multiple of stepm and negative otherwise. |
| */ |
*/ |
| /* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/ |
/* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/ |
| if( s2 > nlstate){ |
if( s2 > nlstate){ |
| /* i.e. if s2 is a death state and if the date of death is known |
/* i.e. if s2 is a death state and if the date of death is known |
| then the contribution to the likelihood is the probability to |
then the contribution to the likelihood is the probability to |
| die between last step unit time and current step unit time, |
die between last step unit time and current step unit time, |
| which is also equal to probability to die before dh |
which is also equal to probability to die before dh |
| minus probability to die before dh-stepm . |
minus probability to die before dh-stepm . |
| In version up to 0.92 likelihood was computed |
In version up to 0.92 likelihood was computed |
| as if date of death was unknown. Death was treated as any other |
as if date of death was unknown. Death was treated as any other |
| health state: the date of the interview describes the actual state |
health state: the date of the interview describes the actual state |
| and not the date of a change in health state. The former idea was |
and not the date of a change in health state. The former idea was |
| to consider that at each interview the state was recorded |
to consider that at each interview the state was recorded |
| (healthy, disable or death) and IMaCh was corrected; but when we |
(healthy, disable or death) and IMaCh was corrected; but when we |
| introduced the exact date of death then we should have modified |
introduced the exact date of death then we should have modified |
| the contribution of an exact death to the likelihood. This new |
the contribution of an exact death to the likelihood. This new |
| contribution is smaller and very dependent of the step unit |
contribution is smaller and very dependent of the step unit |
| stepm. It is no more the probability to die between last interview |
stepm. It is no more the probability to die between last interview |
| and month of death but the probability to survive from last |
and month of death but the probability to survive from last |
| interview up to one month before death multiplied by the |
interview up to one month before death multiplied by the |
| probability to die within a month. Thanks to Chris |
probability to die within a month. Thanks to Chris |
| Jackson for correcting this bug. Former versions increased |
Jackson for correcting this bug. Former versions increased |
| mortality artificially. The bad side is that we add another loop |
mortality artificially. The bad side is that we add another loop |
| which slows down the processing. The difference can be up to 10% |
which slows down the processing. The difference can be up to 10% |
| lower mortality. |
lower mortality. |
| */ |
*/ |
| /* If, at the beginning of the maximization mostly, the |
/* If, at the beginning of the maximization mostly, the |
| cumulative probability or probability to be dead is |
cumulative probability or probability to be dead is |
| constant (ie = 1) over time d, the difference is equal to |
constant (ie = 1) over time d, the difference is equal to |
| 0. out[s1][3] = savm[s1][3]: probability, being at state |
0. out[s1][3] = savm[s1][3]: probability, being at state |
| s1 at precedent wave, to be dead a month before current |
s1 at precedent wave, to be dead a month before current |
| wave is equal to probability, being at state s1 at |
wave is equal to probability, being at state s1 at |
| precedent wave, to be dead at mont of the current |
precedent wave, to be dead at mont of the current |
| wave. Then the observed probability (that this person died) |
wave. Then the observed probability (that this person died) |
| is null according to current estimated parameter. In fact, |
is null according to current estimated parameter. In fact, |
| it should be very low but not zero otherwise the log go to |
it should be very low but not zero otherwise the log go to |
| infinity. |
infinity. |
| */ |
*/ |
| /* #ifdef INFINITYORIGINAL */ |
/* #ifdef INFINITYORIGINAL */ |
| /* lli=log(out[s1][s2] - savm[s1][s2]); */ |
/* lli=log(out[s1][s2] - savm[s1][s2]); */ |
| /* #else */ |
/* #else */ |
|
Line 3017 double func( double *x)
|
Line 3089 double func( double *x)
|
| /* else */ |
/* else */ |
| /* lli=log(out[s1][s2] - savm[s1][s2]); */ |
/* lli=log(out[s1][s2] - savm[s1][s2]); */ |
| /* #endif */ |
/* #endif */ |
| lli=log(out[s1][s2] - savm[s1][s2]); |
lli=log(out[s1][s2] - savm[s1][s2]); |
| |
|
| } else if ( s2==-1 ) { /* alive */ |
} else if ( s2==-1 ) { /* alive */ |
| for (j=1,survp=0. ; j<=nlstate; j++) |
for (j=1,survp=0. ; j<=nlstate; j++) |
| survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; |
survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; |
| /*survp += out[s1][j]; */ |
/*survp += out[s1][j]; */ |
| lli= log(survp); |
lli= log(survp); |
| } |
} |
| else if (s2==-4) { |
else if (s2==-4) { |
| for (j=3,survp=0. ; j<=nlstate; j++) |
for (j=3,survp=0. ; j<=nlstate; j++) |
| survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; |
survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; |
| lli= log(survp); |
lli= log(survp); |
| } |
} |
| else if (s2==-5) { |
else if (s2==-5) { |
| for (j=1,survp=0. ; j<=2; j++) |
for (j=1,survp=0. ; j<=2; j++) |
| survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; |
survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; |
| lli= log(survp); |
lli= log(survp); |
| } |
} |
| else{ |
else{ |
| lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
| /* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2]));*/ /* linear interpolation */ |
/* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2]));*/ /* linear interpolation */ |
| } |
} |
| /*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("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; |
| /* if (lli < log(mytinydouble)){ */ |
/* if (lli < log(mytinydouble)){ */ |
| /* printf("Close to inf lli = %.10lf < %.10lf i= %d mi= %d, s[%d][i]=%d s1=%d s2=%d\n", lli,log(mytinydouble), i, mi,mw[mi][i], s[mw[mi][i]][i], s1,s2); */ |
/* printf("Close to inf lli = %.10lf < %.10lf i= %d mi= %d, s[%d][i]=%d s1=%d s2=%d\n", lli,log(mytinydouble), i, mi,mw[mi][i], s[mw[mi][i]][i], s1,s2); */ |
| /* fprintf(ficlog,"Close to inf lli = %.10lf i= %d mi= %d, s[mw[mi][i]][i]=%d\n", lli, i, mi,s[mw[mi][i]][i]); */ |
/* fprintf(ficlog,"Close to inf lli = %.10lf i= %d mi= %d, s[mw[mi][i]][i]=%d\n", lli, i, mi,s[mw[mi][i]][i]); */ |
| /* } */ |
/* } */ |
| } /* end of wave */ |
} /* end of wave */ |
| } /* end of individual */ |
} /* end of individual */ |
| } else if(mle==2){ |
} else if(mle==2){ |
| for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
| 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(mi=1; mi<= wav[i]-1; mi++){ |
for(mi=1; mi<= wav[i]-1; mi++){ |
| for (ii=1;ii<=nlstate+ndeath;ii++) |
for (ii=1;ii<=nlstate+ndeath;ii++) |
| for (j=1;j<=nlstate+ndeath;j++){ |
for (j=1;j<=nlstate+ndeath;j++){ |
| oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
| savm[ii][j]=(ii==j ? 1.0 : 0.0); |
savm[ii][j]=(ii==j ? 1.0 : 0.0); |
| } |
} |
| for(d=0; d<=dh[mi][i]; d++){ |
for(d=0; d<=dh[mi][i]; d++){ |
| newm=savm; |
newm=savm; |
| agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
| cov[2]=agexact; |
cov[2]=agexact; |
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
| for (kk=1; kk<=cptcovage;kk++) { |
for (kk=1; kk<=cptcovage;kk++) { |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
| } |
} |
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
| savm=oldm; |
savm=oldm; |
| oldm=newm; |
oldm=newm; |
| } /* end mult */ |
} /* end mult */ |
| |
|
| s1=s[mw[mi][i]][i]; |
s1=s[mw[mi][i]][i]; |
| s2=s[mw[mi+1][i]][i]; |
s2=s[mw[mi+1][i]][i]; |
| bbh=(double)bh[mi][i]/(double)stepm; |
bbh=(double)bh[mi][i]/(double)stepm; |
| lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2])); /* linear interpolation */ |
lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2])); /* linear interpolation */ |
| 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; |
| } /* end of wave */ |
} /* end of wave */ |
| } /* end of individual */ |
} /* end of individual */ |
| } else if(mle==3){ /* exponential inter-extrapolation */ |
} else if(mle==3){ /* exponential inter-extrapolation */ |
| for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
| 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(mi=1; mi<= wav[i]-1; mi++){ |
for(mi=1; mi<= wav[i]-1; mi++){ |
| for (ii=1;ii<=nlstate+ndeath;ii++) |
for (ii=1;ii<=nlstate+ndeath;ii++) |
| for (j=1;j<=nlstate+ndeath;j++){ |
for (j=1;j<=nlstate+ndeath;j++){ |
| oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
| savm[ii][j]=(ii==j ? 1.0 : 0.0); |
savm[ii][j]=(ii==j ? 1.0 : 0.0); |
| } |
} |
| for(d=0; d<dh[mi][i]; d++){ |
for(d=0; d<dh[mi][i]; d++){ |
| newm=savm; |
newm=savm; |
| agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
| cov[2]=agexact; |
cov[2]=agexact; |
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
| for (kk=1; kk<=cptcovage;kk++) { |
for (kk=1; kk<=cptcovage;kk++) { |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
| } |
} |
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
| savm=oldm; |
savm=oldm; |
| oldm=newm; |
oldm=newm; |
| } /* end mult */ |
} /* end mult */ |
| |
|
| s1=s[mw[mi][i]][i]; |
s1=s[mw[mi][i]][i]; |
| s2=s[mw[mi+1][i]][i]; |
s2=s[mw[mi+1][i]][i]; |
| bbh=(double)bh[mi][i]/(double)stepm; |
bbh=(double)bh[mi][i]/(double)stepm; |
| lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */ |
lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */ |
| 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; |
| } /* end of wave */ |
} /* end of wave */ |
| } /* end of individual */ |
} /* end of individual */ |
| }else if (mle==4){ /* ml=4 no inter-extrapolation */ |
}else if (mle==4){ /* ml=4 no inter-extrapolation */ |
| for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
| 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(mi=1; mi<= wav[i]-1; mi++){ |
for(mi=1; mi<= wav[i]-1; mi++){ |
| for (ii=1;ii<=nlstate+ndeath;ii++) |
for (ii=1;ii<=nlstate+ndeath;ii++) |
| for (j=1;j<=nlstate+ndeath;j++){ |
for (j=1;j<=nlstate+ndeath;j++){ |
| oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
| savm[ii][j]=(ii==j ? 1.0 : 0.0); |
savm[ii][j]=(ii==j ? 1.0 : 0.0); |
| } |
} |
| for(d=0; d<dh[mi][i]; d++){ |
for(d=0; d<dh[mi][i]; d++){ |
| newm=savm; |
newm=savm; |
| agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
| cov[2]=agexact; |
cov[2]=agexact; |
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
| for (kk=1; kk<=cptcovage;kk++) { |
for (kk=1; kk<=cptcovage;kk++) { |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
| } |
} |
| |
|
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
| savm=oldm; |
savm=oldm; |
| oldm=newm; |
oldm=newm; |
| } /* end mult */ |
} /* end mult */ |
| |
|
| s1=s[mw[mi][i]][i]; |
s1=s[mw[mi][i]][i]; |
| s2=s[mw[mi+1][i]][i]; |
s2=s[mw[mi+1][i]][i]; |
| if( s2 > nlstate){ |
if( s2 > nlstate){ |
| lli=log(out[s1][s2] - savm[s1][s2]); |
lli=log(out[s1][s2] - savm[s1][s2]); |
| } else if ( s2==-1 ) { /* alive */ |
} else if ( s2==-1 ) { /* alive */ |
| for (j=1,survp=0. ; j<=nlstate; j++) |
for (j=1,survp=0. ; j<=nlstate; j++) |
| survp += out[s1][j]; |
survp += out[s1][j]; |
| lli= log(survp); |
lli= log(survp); |
| }else{ |
}else{ |
| lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */ |
lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */ |
| } |
} |
| 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 */ |
| for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
| 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(mi=1; mi<= wav[i]-1; mi++){ |
for(mi=1; mi<= wav[i]-1; mi++){ |
| for (ii=1;ii<=nlstate+ndeath;ii++) |
for (ii=1;ii<=nlstate+ndeath;ii++) |
| for (j=1;j<=nlstate+ndeath;j++){ |
for (j=1;j<=nlstate+ndeath;j++){ |
| oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
| savm[ii][j]=(ii==j ? 1.0 : 0.0); |
savm[ii][j]=(ii==j ? 1.0 : 0.0); |
| } |
} |
| for(d=0; d<dh[mi][i]; d++){ |
for(d=0; d<dh[mi][i]; d++){ |
| newm=savm; |
newm=savm; |
| agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
| cov[2]=agexact; |
cov[2]=agexact; |
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
| for (kk=1; kk<=cptcovage;kk++) { |
for (kk=1; kk<=cptcovage;kk++) { |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
| } |
} |
| |
|
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
| savm=oldm; |
savm=oldm; |
| oldm=newm; |
oldm=newm; |
| } /* end mult */ |
} /* end mult */ |
| |
|
| s1=s[mw[mi][i]][i]; |
s1=s[mw[mi][i]][i]; |
| s2=s[mw[mi+1][i]][i]; |
s2=s[mw[mi+1][i]][i]; |
| lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */ |
lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */ |
| 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 */ |
| } /* End of if */ |
} /* End of if */ |
| for(k=1,l=0.; k<=nlstate; k++) l += ll[k]; |
for(k=1,l=0.; k<=nlstate; k++) l += ll[k]; |
| /* printf("l1=%f l2=%f ",ll[1],ll[2]); */ |
/* printf("l1=%f l2=%f ",ll[1],ll[2]); */ |
| l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */ |
l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */ |
| return -l; |
return -l; |
| } |
} |
| |
|
| /*************** log-likelihood *************/ |
/*************** log-likelihood *************/ |
|
Line 3226 double funcone( double *x)
|
Line 3298 double funcone( double *x)
|
| for(k=1; k<=nlstate; k++) ll[k]=0.; |
for(k=1; k<=nlstate; k++) ll[k]=0.; |
| ioffset=0; |
ioffset=0; |
| for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
| ioffset=2+nagesqr+cptcovage; |
ioffset=2+nagesqr+cptcovage; |
| /* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */ |
/* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */ |
| for (k=1; k<=ncoveff;k++){ /* Simple and product covariates without age* products */ |
for (k=1; k<=ncoveff+nqfveff;k++){ /* Simple and product fixed covariates without age* products */ |
| cov[++ioffset]=covar[Tvar[k]][i]; |
cov[++ioffset]=covar[Tvar[k]][i]; |
| } |
} |
| for(iqv=1; iqv <= nqveff; iqv++){ /* Quantitatives covariates */ |
for(iqv=1; iqv <= nqfveff; iqv++){ /* Quantitative fixed covariates */ |
| cov[++ioffset]=coqvar[iqv][i]; |
cov[++ioffset]=coqvar[Tvar[iqv]][i]; |
| } |
} |
| |
|
| for(mi=1; mi<= wav[i]-1; mi++){ |
for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */ |
| for(itv=1; itv <= ntveff; itv++){ /* Varying dummy covariates */ |
for(itv=1; itv <= ntveff; itv++){ /* Varying dummy covariates */ |
| cov[ioffset+itv]=cotvar[mw[mi][i]][itv][i]; |
cov[ioffset+itv]=cotvar[mw[mi][i]][itv][i]; |
| } |
} |
| for(iqtv=1; iqtv <= nqtveff; iqtv++){ /* Varying quantitatives covariates */ |
for(iqtv=1; iqtv <= nqtveff; iqtv++){ /* Varying quantitatives covariates */ |
| cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][iqtv][i]; |
cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][iqtv][i]; |
| } |
} |
| for (ii=1;ii<=nlstate+ndeath;ii++) |
for (ii=1;ii<=nlstate+ndeath;ii++) |
| for (j=1;j<=nlstate+ndeath;j++){ |
for (j=1;j<=nlstate+ndeath;j++){ |
| oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
| savm[ii][j]=(ii==j ? 1.0 : 0.0); |
savm[ii][j]=(ii==j ? 1.0 : 0.0); |
| } |
} |
| |
|
| agebegin=agev[mw[mi][i]][i]; /* Age at beginning of effective wave */ |
agebegin=agev[mw[mi][i]][i]; /* Age at beginning of effective wave */ |
| ageend=agev[mw[mi][i]][i] + (dh[mi][i])*stepm/YEARM; /* Age at end of effective wave and at the end of transition */ |
ageend=agev[mw[mi][i]][i] + (dh[mi][i])*stepm/YEARM; /* Age at end of effective wave and at the end of transition */ |
| for(d=0; d<dh[mi][i]; d++){ /* Delay between two effective waves */ |
for(d=0; d<dh[mi][i]; d++){ /* Delay between two effective waves */ |
| /*dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i] |
/*dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i] |
| and mw[mi+1][i]. dh depends on stepm.*/ |
and mw[mi+1][i]. dh depends on stepm.*/ |
| newm=savm; |
newm=savm; |
| agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
| cov[2]=agexact; |
cov[2]=agexact; |
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
| for (kk=1; kk<=cptcovage;kk++) { |
for (kk=1; kk<=cptcovage;kk++) { |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
| } |
} |
| |
/* printf("i=%d,mi=%d,d=%d,mw[mi][i]=%d\n",i, mi,d,mw[mi][i]); */ |
| /* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ |
/* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ |
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
| /* out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, */ |
/* out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, */ |
| /* 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); */ |
/* 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); */ |
| savm=oldm; |
savm=oldm; |
| oldm=newm; |
oldm=newm; |
| } /* end mult */ |
} /* end mult */ |
| |
|
| s1=s[mw[mi][i]][i]; |
s1=s[mw[mi][i]][i]; |
|
Line 3282 double funcone( double *x)
|
Line 3354 double funcone( double *x)
|
| * is higher than the multiple of stepm and negative otherwise. |
* is higher than the multiple of stepm and negative otherwise. |
| */ |
*/ |
| if( s2 > nlstate && (mle <5) ){ /* Jackson */ |
if( s2 > nlstate && (mle <5) ){ /* Jackson */ |
| lli=log(out[s1][s2] - savm[s1][s2]); |
lli=log(out[s1][s2] - savm[s1][s2]); |
| } else if ( s2==-1 ) { /* alive */ |
} else if ( s2==-1 ) { /* alive */ |
| for (j=1,survp=0. ; j<=nlstate; j++) |
for (j=1,survp=0. ; j<=nlstate; j++) |
| survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; |
survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; |
| lli= log(survp); |
lli= log(survp); |
| }else if (mle==1){ |
}else if (mle==1){ |
| lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
| } else if(mle==2){ |
} else if(mle==2){ |
| lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* linear interpolation */ |
lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* linear interpolation */ |
| } else if(mle==3){ /* exponential inter-extrapolation */ |
} else if(mle==3){ /* exponential inter-extrapolation */ |
| lli= (savm[s1][s2]>(double)1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */ |
lli= (savm[s1][s2]>(double)1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */ |
| } else if (mle==4){ /* mle=4 no inter-extrapolation */ |
} else if (mle==4){ /* mle=4 no inter-extrapolation */ |
| lli=log(out[s1][s2]); /* Original formula */ |
lli=log(out[s1][s2]); /* Original formula */ |
| } else{ /* mle=0 back to 1 */ |
} else{ /* mle=0 back to 1 */ |
| lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
| /*lli=log(out[s1][s2]); */ /* Original formula */ |
/*lli=log(out[s1][s2]); */ /* Original formula */ |
| } /* End of if */ |
} /* End of if */ |
| ipmx +=1; |
ipmx +=1; |
| sw += weight[i]; |
sw += weight[i]; |
| ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
| /*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */ |
/*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */ |
| if(globpr){ |
if(globpr){ |
| fprintf(ficresilk,"%9ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ |
fprintf(ficresilk,"%9ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ |
| %11.6f %11.6f %11.6f ", \ |
%11.6f %11.6f %11.6f ", \ |
| num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, |
num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, |
| 2*weight[i]*lli,out[s1][s2],savm[s1][s2]); |
2*weight[i]*lli,out[s1][s2],savm[s1][s2]); |
| for(k=1,llt=0.,l=0.; k<=nlstate; k++){ |
for(k=1,llt=0.,l=0.; k<=nlstate; k++){ |
| llt +=ll[k]*gipmx/gsw; |
llt +=ll[k]*gipmx/gsw; |
| fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw); |
fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw); |
| } |
} |
| fprintf(ficresilk," %10.6f\n", -llt); |
fprintf(ficresilk," %10.6f\n", -llt); |
| } |
} |
| } /* end of wave */ |
} /* end of wave */ |
| } /* end of individual */ |
} /* end of individual */ |
|
Line 3819 void pstamp(FILE *fichier)
|
Line 3891 void pstamp(FILE *fichier)
|
| } |
} |
| |
|
| /************ Frequencies ********************/ |
/************ Frequencies ********************/ |
| void freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, \ |
void freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, \ |
| int *Tvaraff, int *invalidvarcomb, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[], \ |
int *Tvaraff, int *invalidvarcomb, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[], \ |
| int firstpass, int lastpass, int stepm, int weightopt, char model[]) |
int firstpass, int lastpass, int stepm, int weightopt, char model[]) |
| { /* Some frequencies */ |
{ /* Some frequencies */ |
| |
|
| int i, m, jk, j1, bool, z1,j; |
int i, m, jk, j1, bool, z1,j, k, iv; |
| int iind=0, iage=0; |
int iind=0, iage=0; |
| int mi; /* Effective wave */ |
int mi; /* Effective wave */ |
| int first; |
int first; |
| double ***freq; /* Frequencies */ |
double ***freq; /* Frequencies */ |
| double *meanq; |
double *meanq; |
| double **meanqt; |
double **meanqt; |
| double *pp, **prop, *posprop, *pospropt; |
double *pp, **prop, *posprop, *pospropt; |
| double pos=0., posproptt=0., pospropta=0., k2, dateintsum=0,k2cpt=0; |
double pos=0., posproptt=0., pospropta=0., k2, dateintsum=0,k2cpt=0; |
| char fileresp[FILENAMELENGTH], fileresphtm[FILENAMELENGTH], fileresphtmfr[FILENAMELENGTH]; |
char fileresp[FILENAMELENGTH], fileresphtm[FILENAMELENGTH], fileresphtmfr[FILENAMELENGTH]; |
| double agebegin, ageend; |
double agebegin, ageend; |
| |
|
| pp=vector(1,nlstate); |
pp=vector(1,nlstate); |
| prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+3+AGEMARGE); |
prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+3+AGEMARGE); |
| posprop=vector(1,nlstate); /* Counting the number of transition starting from a live state per age */ |
posprop=vector(1,nlstate); /* Counting the number of transition starting from a live state per age */ |
| pospropt=vector(1,nlstate); /* Counting the number of transition starting from a live state */ |
pospropt=vector(1,nlstate); /* Counting the number of transition starting from a live state */ |
| /* prop=matrix(1,nlstate,iagemin,iagemax+3); */ |
/* prop=matrix(1,nlstate,iagemin,iagemax+3); */ |
| meanq=vector(1,nqveff); |
meanq=vector(1,nqfveff); /* Number of Quantitative Fixed Variables Effective */ |
| meanqt=matrix(1,lastpass,1,nqtveff); |
meanqt=matrix(1,lastpass,1,nqtveff); |
| strcpy(fileresp,"P_"); |
strcpy(fileresp,"P_"); |
| strcat(fileresp,fileresu); |
strcat(fileresp,fileresu); |
| /*strcat(fileresphtm,fileresu);*/ |
/*strcat(fileresphtm,fileresu);*/ |
| if((ficresp=fopen(fileresp,"w"))==NULL) { |
if((ficresp=fopen(fileresp,"w"))==NULL) { |
| printf("Problem with prevalence resultfile: %s\n", fileresp); |
printf("Problem with prevalence resultfile: %s\n", fileresp); |
| fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp); |
fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp); |
| exit(0); |
exit(0); |
| } |
} |
| |
|
| strcpy(fileresphtm,subdirfext(optionfilefiname,"PHTM_",".htm")); |
strcpy(fileresphtm,subdirfext(optionfilefiname,"PHTM_",".htm")); |
| if((ficresphtm=fopen(fileresphtm,"w"))==NULL) { |
if((ficresphtm=fopen(fileresphtm,"w"))==NULL) { |
| printf("Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); |
printf("Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); |
| fprintf(ficlog,"Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); |
fprintf(ficlog,"Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); |
| fflush(ficlog); |
fflush(ficlog); |
| exit(70); |
exit(70); |
| } |
} |
| else{ |
else{ |
| fprintf(ficresphtm,"<html><head>\n<title>IMaCh PHTM_ %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
fprintf(ficresphtm,"<html><head>\n<title>IMaCh PHTM_ %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
| <hr size=\"2\" color=\"#EC5E5E\"> \n\ |
<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
| Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
| fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
| } |
} |
| fprintf(ficresphtm,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies and prevalence by age at begin of transition</h4>\n",fileresphtm, fileresphtm); |
fprintf(ficresphtm,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies and prevalence by age at begin of transition</h4>\n",fileresphtm, fileresphtm); |
| |
|
| strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm")); |
strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm")); |
| if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) { |
if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) { |
| printf("Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); |
printf("Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); |
| fprintf(ficlog,"Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); |
fprintf(ficlog,"Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); |
| fflush(ficlog); |
fflush(ficlog); |
| exit(70); |
exit(70); |
| } |
} |
| else{ |
else{ |
| fprintf(ficresphtmfr,"<html><head>\n<title>IMaCh PHTM_Frequency table %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
fprintf(ficresphtmfr,"<html><head>\n<title>IMaCh PHTM_Frequency table %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
| <hr size=\"2\" color=\"#EC5E5E\"> \n\ |
<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
| Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
| fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
| } |
} |
| fprintf(ficresphtmfr,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies of all effective transitions by age at begin of transition </h4>Unknown status is -1<br/>\n",fileresphtmfr, fileresphtmfr); |
fprintf(ficresphtmfr,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies of all effective transitions by age at begin of transition </h4>Unknown status is -1<br/>\n",fileresphtmfr, fileresphtmfr); |
| |
|
| freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin-AGEMARGE,iagemax+3+AGEMARGE); |
freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin-AGEMARGE,iagemax+3+AGEMARGE); |
| j1=0; |
j1=0; |
| |
|
| j=ncoveff; |
/* j=ncoveff; /\* Only fixed dummy covariates *\/ */ |
| if (cptcovn<1) {j=1;ncodemax[1]=1;} |
j=cptcoveff; /* Only dummy covariates of the model */ |
| |
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
| |
|
| first=1; |
first=1; |
| |
|
| /* Detects if a combination j1 is empty: for a multinomial variable like 3 education levels: |
/* Detects if a combination j1 is empty: for a multinomial variable like 3 education levels: |
| reference=low_education V1=0,V2=0 |
reference=low_education V1=0,V2=0 |
| med_educ V1=1 V2=0, |
med_educ V1=1 V2=0, |
| high_educ V1=0 V2=1 |
high_educ V1=0 V2=1 |
| Then V1=1 and V2=1 is a noisy combination that we want to exclude for the list 2**cptcoveff |
Then V1=1 and V2=1 is a noisy combination that we want to exclude for the list 2**cptcoveff |
| */ |
*/ |
| |
|
| for (j1 = 1; j1 <= (int) pow(2,j); j1++){ /* Loop on covariates combination excluding varying and quantitatives */ |
for (j1 = 1; j1 <= (int) pow(2,j); j1++){ /* Loop on covariates combination in order of model, excluding quantitatives V4=0, V3=0 for example, fixed or varying covariates */ |
| posproptt=0.; |
posproptt=0.; |
| /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); |
/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); |
| scanf("%d", i);*/ |
scanf("%d", i);*/ |
| for (i=-5; i<=nlstate+ndeath; i++) |
for (i=-5; i<=nlstate+ndeath; i++) |
| for (jk=-5; jk<=nlstate+ndeath; jk++) |
for (jk=-5; jk<=nlstate+ndeath; jk++) |
| for(m=iagemin; m <= iagemax+3; m++) |
for(m=iagemin; m <= iagemax+3; m++) |
| freq[i][jk][m]=0; |
freq[i][jk][m]=0; |
| |
|
| for (i=1; i<=nlstate; i++) { |
for (i=1; i<=nlstate; i++) { |
| for(m=iagemin; m <= iagemax+3; m++) |
for(m=iagemin; m <= iagemax+3; m++) |
| prop[i][m]=0; |
prop[i][m]=0; |
| posprop[i]=0; |
posprop[i]=0; |
| pospropt[i]=0; |
pospropt[i]=0; |
| } |
} |
| for (z1=1; z1<= nqveff; z1++) { |
/* for (z1=1; z1<= nqfveff; z1++) { */ |
| meanq[z1]+=0.; |
/* meanq[z1]+=0.; */ |
| for(m=1;m<=lastpass;m++){ |
/* for(m=1;m<=lastpass;m++){ */ |
| meanqt[m][z1]=0.; |
/* meanqt[m][z1]=0.; */ |
| } |
/* } */ |
| } |
/* } */ |
| |
|
| dateintsum=0; |
|
| k2cpt=0; |
|
| /* For that comination of covariate j1, we count and print the frequencies */ |
|
| for (iind=1; iind<=imx; iind++) { /* For each individual iind */ |
|
| bool=1; |
|
| if (nqveff >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
|
| for (z1=1; z1<= nqveff; z1++) { |
|
| meanq[z1]+=coqvar[Tvar[z1]][iind]; |
|
| } |
|
| for (z1=1; z1<=ncoveff; z1++) { |
|
| /* if(Tvaraff[z1] ==-20){ */ |
|
| /* /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; *\/ */ |
|
| /* }else if(Tvaraff[z1] ==-10){ */ |
|
| /* /\* sumnew+=coqvar[z1][iind]; *\/ */ |
|
| /* }else */ |
|
| if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){ |
|
| /* Tests if this individual i responded to j1 (V4=1 V3=0) */ |
|
| bool=0; |
|
| /* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", |
|
| bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1), |
|
| j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/ |
|
| /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ |
|
| } |
|
| } /* end z1 */ |
|
| } /* cptcovn > 0 */ |
|
| |
|
| if (bool==1){ /* We selected an individual iin satisfying combination j1 */ |
|
| /* for(m=firstpass; m<=lastpass; m++){ */ |
|
| for(mi=1; mi<wav[iind];mi++){ |
|
| m=mw[mi][iind]; |
|
| /* dh[m][iind] or dh[mw[mi][iind]][iind] is the delay between two effective (mi) waves m=mw[mi][iind] |
|
| and mw[mi+1][iind]. dh depends on stepm. */ |
|
| agebegin=agev[m][iind]; /* Age at beginning of wave before transition*/ |
|
| ageend=agev[m][iind]+(dh[m][iind])*stepm/YEARM; /* Age at end of wave and transition */ |
|
| if(m >=firstpass && m <=lastpass){ |
|
| k2=anint[m][iind]+(mint[m][iind]/12.); |
|
| /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/ |
|
| if(agev[m][iind]==0) agev[m][iind]=iagemax+1; /* All ages equal to 0 are in iagemax+1 */ |
|
| if(agev[m][iind]==1) agev[m][iind]=iagemax+2; /* All ages equal to 1 are in iagemax+2 */ |
|
| if (s[m][iind]>0 && s[m][iind]<=nlstate) /* If status at wave m is known and a live state */ |
|
| prop[s[m][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
|
| if (m<lastpass) { |
|
| /* if(s[m][iind]==4 && s[m+1][iind]==4) */ |
|
| /* printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind]); */ |
|
| if(s[m][iind]==-1) |
|
| printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind],agebegin, ageend, (int)((agebegin+ageend)/2.)); |
|
| freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
|
| /* freq[s[m][iind]][s[m+1][iind]][(int)((agebegin+ageend)/2.)] += weight[iind]; */ |
|
| freq[s[m][iind]][s[m+1][iind]][iagemax+3] += weight[iind]; /* Total is in iagemax+3 *//* At age of beginning of transition, where status is known */ |
|
| } |
|
| } |
|
| if ((agev[m][iind]>1) && (agev[m][iind]< (iagemax+3)) && (anint[m][iind]!=9999) && (mint[m][iind]!=99)) { |
|
| dateintsum=dateintsum+k2; |
|
| k2cpt++; |
|
| /* printf("iind=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",iind, dateintsum/k2cpt, dateintsum,k2cpt, k2); */ |
|
| } |
|
| /*}*/ |
|
| } /* end m */ |
|
| } /* end bool */ |
|
| } /* end iind = 1 to imx */ |
|
| /* prop[s][age] is feeded for any initial and valid live state as well as |
|
| freq[s1][s2][age] at single age of beginning the transition, for a combination j1 */ |
|
| |
|
| |
|
| /* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/ |
|
| pstamp(ficresp); |
|
| if (ncoveff>0) { |
|
| fprintf(ficresp, "\n#********** Variable "); |
|
| fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable "); |
|
| fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable "); |
|
| for (z1=1; z1<=ncoveff; z1++){ |
|
| fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
|
| fprintf(ficresphtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
|
| fprintf(ficresphtmfr, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
|
| } |
|
| fprintf(ficresp, "**********\n#"); |
|
| fprintf(ficresphtm, "**********</h3>\n"); |
|
| fprintf(ficresphtmfr, "**********</h3>\n"); |
|
| fprintf(ficlog, "\n#********** Variable "); |
|
| for (z1=1; z1<=ncoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
|
| fprintf(ficlog, "**********\n"); |
|
| } |
|
| fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">"); |
|
| for(i=1; i<=nlstate;i++) { |
|
| fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i); |
|
| fprintf(ficresphtm, "<th>Age</th><th>Prev(%d)</th><th>N(%d)</th><th>N</th>",i,i); |
|
| } |
|
| fprintf(ficresp, "\n"); |
|
| fprintf(ficresphtm, "\n"); |
|
| |
|
| /* Header of frequency table by age */ |
|
| fprintf(ficresphtmfr,"<table style=\"text-align:center; border: 1px solid\">"); |
|
| fprintf(ficresphtmfr,"<th>Age</th> "); |
|
| for(jk=-1; jk <=nlstate+ndeath; jk++){ |
|
| for(m=-1; m <=nlstate+ndeath; m++){ |
|
| if(jk!=0 && m!=0) |
|
| fprintf(ficresphtmfr,"<th>%d%d</th> ",jk,m); |
|
| } |
|
| } |
|
| fprintf(ficresphtmfr, "\n"); |
|
| |
|
| /* For each age */ |
dateintsum=0; |
| for(iage=iagemin; iage <= iagemax+3; iage++){ |
k2cpt=0; |
| fprintf(ficresphtm,"<tr>"); |
/* For that combination of covariate j1, we count and print the frequencies in one pass */ |
| if(iage==iagemax+1){ |
for (iind=1; iind<=imx; iind++) { /* For each individual iind */ |
| fprintf(ficlog,"1"); |
bool=1; |
| fprintf(ficresphtmfr,"<tr><th>0</th> "); |
if(anyvaryingduminmodel==0){ /* If All fixed covariates */ |
| }else if(iage==iagemax+2){ |
if (cptcoveff >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
| fprintf(ficlog,"0"); |
/* for (z1=1; z1<= nqfveff; z1++) { */ |
| fprintf(ficresphtmfr,"<tr><th>Unknown</th> "); |
/* meanq[z1]+=coqvar[Tvar[z1]][iind]; /\* Computes mean of quantitative with selected filter *\/ */ |
| }else if(iage==iagemax+3){ |
/* } */ |
| fprintf(ficlog,"Total"); |
for (z1=1; z1<=cptcoveff; z1++) { |
| fprintf(ficresphtmfr,"<tr><th>Total</th> "); |
/* if(Tvaraff[z1] ==-20){ */ |
| }else{ |
/* /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; *\/ */ |
| if(first==1){ |
/* }else if(Tvaraff[z1] ==-10){ */ |
| first=0; |
/* /\* sumnew+=coqvar[z1][iind]; *\/ */ |
| printf("See log file for details...\n"); |
/* }else */ |
| } |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){ |
| fprintf(ficresphtmfr,"<tr><th>%d</th> ",iage); |
/* Tests if this individual iind responded to j1 (V4=1 V3=0) */ |
| fprintf(ficlog,"Age %d", iage); |
bool=0; |
| } |
/* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", |
| for(jk=1; jk <=nlstate ; jk++){ |
bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1), |
| for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) |
j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/ |
| pp[jk] += freq[jk][m][iage]; |
/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ |
| } |
} /* Onlyf fixed */ |
| for(jk=1; jk <=nlstate ; jk++){ |
} /* end z1 */ |
| for(m=-1, pos=0; m <=0 ; m++) |
} /* cptcovn > 0 */ |
| pos += freq[jk][m][iage]; |
} /* end any */ |
| if(pp[jk]>=1.e-10){ |
if (bool==1){ /* We selected an individual iind satisfying combination j1 or all fixed */ |
| if(first==1){ |
/* for(m=firstpass; m<=lastpass; m++){ */ |
| printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); |
for(mi=1; mi<wav[iind];mi++){ /* For that wave */ |
| } |
m=mw[mi][iind]; |
| fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); |
if(anyvaryingduminmodel==1){ /* Some are varying covariates */ |
| }else{ |
for (z1=1; z1<=cptcoveff; z1++) { |
| if(first==1) |
if( Fixed[Tmodelind[z1]]==1){ |
| printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); |
iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; |
| fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); |
if (cotvar[m][iv][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) /* iv=1 to ntv, right modality */ |
| } |
bool=0; |
| } |
}else if( Fixed[Tmodelind[z1]]== 0) { /* fixed */ |
| |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) { |
| for(jk=1; jk <=nlstate ; jk++){ |
bool=0; |
| /* posprop[jk]=0; */ |
} |
| for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)/* Summing on all ages */ |
} |
| pp[jk] += freq[jk][m][iage]; |
} |
| } /* pp[jk] is the total number of transitions starting from state jk and any ending status until this age */ |
}/* Some are varying covariates, we tried to speed up if all fixed covariates in the model, avoiding waves loop */ |
| |
/* bool =0 we keep that guy which corresponds to the combination of dummy values */ |
| for(jk=1,pos=0, pospropta=0.; jk <=nlstate ; jk++){ |
if(bool==1){ |
| pos += pp[jk]; /* pos is the total number of transitions until this age */ |
/* dh[m][iind] or dh[mw[mi][iind]][iind] is the delay between two effective (mi) waves m=mw[mi][iind] |
| posprop[jk] += prop[jk][iage]; /* prop is the number of transitions from a live state |
and mw[mi+1][iind]. dh depends on stepm. */ |
| from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ |
agebegin=agev[m][iind]; /* Age at beginning of wave before transition*/ |
| pospropta += prop[jk][iage]; /* prop is the number of transitions from a live state |
ageend=agev[m][iind]+(dh[m][iind])*stepm/YEARM; /* Age at end of wave and transition */ |
| from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ |
if(m >=firstpass && m <=lastpass){ |
| } |
k2=anint[m][iind]+(mint[m][iind]/12.); |
| for(jk=1; jk <=nlstate ; jk++){ |
/*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/ |
| if(pos>=1.e-5){ |
if(agev[m][iind]==0) agev[m][iind]=iagemax+1; /* All ages equal to 0 are in iagemax+1 */ |
| if(first==1) |
if(agev[m][iind]==1) agev[m][iind]=iagemax+2; /* All ages equal to 1 are in iagemax+2 */ |
| printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); |
if (s[m][iind]>0 && s[m][iind]<=nlstate) /* If status at wave m is known and a live state */ |
| fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); |
prop[s[m][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
| }else{ |
if (m<lastpass) { |
| if(first==1) |
/* if(s[m][iind]==4 && s[m+1][iind]==4) */ |
| printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); |
/* printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind]); */ |
| fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); |
if(s[m][iind]==-1) |
| } |
printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind],agebegin, ageend, (int)((agebegin+ageend)/2.)); |
| if( iage <= iagemax){ |
freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
| if(pos>=1.e-5){ |
/* freq[s[m][iind]][s[m+1][iind]][(int)((agebegin+ageend)/2.)] += weight[iind]; */ |
| fprintf(ficresp," %d %.5f %.0f %.0f",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); |
freq[s[m][iind]][s[m+1][iind]][iagemax+3] += weight[iind]; /* Total is in iagemax+3 *//* At age of beginning of transition, where status is known */ |
| fprintf(ficresphtm,"<th>%d</th><td>%.5f</td><td>%.0f</td><td>%.0f</td>",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); |
} |
| /*probs[iage][jk][j1]= pp[jk]/pos;*/ |
} /* end if between passes */ |
| /*printf("\niage=%d jk=%d j1=%d %.5f %.0f %.0f %f",iage,jk,j1,pp[jk]/pos, pp[jk],pos,probs[iage][jk][j1]);*/ |
if ((agev[m][iind]>1) && (agev[m][iind]< (iagemax+3)) && (anint[m][iind]!=9999) && (mint[m][iind]!=99)) { |
| } |
dateintsum=dateintsum+k2; |
| else{ |
k2cpt++; |
| fprintf(ficresp," %d NaNq %.0f %.0f",iage,prop[jk][iage],pospropta); |
/* printf("iind=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",iind, dateintsum/k2cpt, dateintsum,k2cpt, k2); */ |
| fprintf(ficresphtm,"<th>%d</th><td>NaNq</td><td>%.0f</td><td>%.0f</td>",iage, prop[jk][iage],pospropta); |
} |
| } |
} /* end bool 2 */ |
| } |
} /* end m */ |
| pospropt[jk] +=posprop[jk]; |
} /* end bool */ |
| } /* end loop jk */ |
} /* end iind = 1 to imx */ |
| /* pospropt=0.; */ |
/* prop[s][age] is feeded for any initial and valid live state as well as |
| for(jk=-1; jk <=nlstate+ndeath; jk++){ |
freq[s1][s2][age] at single age of beginning the transition, for a combination j1 */ |
| for(m=-1; m <=nlstate+ndeath; m++){ |
|
| if(freq[jk][m][iage] !=0 ) { /* minimizing output */ |
|
| if(first==1){ |
/* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/ |
| printf(" %d%d=%.0f",jk,m,freq[jk][m][iage]); |
pstamp(ficresp); |
| } |
/* if (ncoveff>0) { */ |
| fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][iage]); |
if (cptcoveff>0) { |
| } |
fprintf(ficresp, "\n#********** Variable "); |
| if(jk!=0 && m!=0) |
fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable "); |
| fprintf(ficresphtmfr,"<td>%.0f</td> ",freq[jk][m][iage]); |
fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable "); |
| } |
for (z1=1; z1<=cptcoveff; z1++){ |
| } /* end loop jk */ |
fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| posproptt=0.; |
fprintf(ficresphtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| for(jk=1; jk <=nlstate; jk++){ |
fprintf(ficresphtmfr, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| posproptt += pospropt[jk]; |
} |
| } |
fprintf(ficresp, "**********\n#"); |
| fprintf(ficresphtmfr,"</tr>\n "); |
fprintf(ficresphtm, "**********</h3>\n"); |
| if(iage <= iagemax){ |
fprintf(ficresphtmfr, "**********</h3>\n"); |
| fprintf(ficresp,"\n"); |
fprintf(ficlog, "\n#********** Variable "); |
| fprintf(ficresphtm,"</tr>\n"); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| } |
fprintf(ficlog, "**********\n"); |
| if(first==1) |
} |
| printf("Others in log...\n"); |
fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">"); |
| fprintf(ficlog,"\n"); |
for(i=1; i<=nlstate;i++) { |
| } /* end loop age iage */ |
fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i); |
| fprintf(ficresphtm,"<tr><th>Tot</th>"); |
fprintf(ficresphtm, "<th>Age</th><th>Prev(%d)</th><th>N(%d)</th><th>N</th>",i,i); |
| for(jk=1; jk <=nlstate ; jk++){ |
} |
| if(posproptt < 1.e-5){ |
fprintf(ficresp, "\n"); |
| fprintf(ficresphtm,"<td>Nanq</td><td>%.0f</td><td>%.0f</td>",pospropt[jk],posproptt); |
fprintf(ficresphtm, "\n"); |
| }else{ |
|
| fprintf(ficresphtm,"<td>%.5f</td><td>%.0f</td><td>%.0f</td>",pospropt[jk]/posproptt,pospropt[jk],posproptt); |
/* Header of frequency table by age */ |
| } |
fprintf(ficresphtmfr,"<table style=\"text-align:center; border: 1px solid\">"); |
| } |
fprintf(ficresphtmfr,"<th>Age</th> "); |
| fprintf(ficresphtm,"</tr>\n"); |
for(jk=-1; jk <=nlstate+ndeath; jk++){ |
| fprintf(ficresphtm,"</table>\n"); |
for(m=-1; m <=nlstate+ndeath; m++){ |
| fprintf(ficresphtmfr,"</table>\n"); |
if(jk!=0 && m!=0) |
| if(posproptt < 1.e-5){ |
fprintf(ficresphtmfr,"<th>%d%d</th> ",jk,m); |
| fprintf(ficresphtm,"\n <p><b> This combination (%d) is not valid and no result will be produced</b></p>",j1); |
} |
| fprintf(ficresphtmfr,"\n <p><b> This combination (%d) is not valid and no result will be produced</b></p>",j1); |
} |
| fprintf(ficres,"\n This combination (%d) is not valid and no result will be produced\n\n",j1); |
fprintf(ficresphtmfr, "\n"); |
| invalidvarcomb[j1]=1; |
|
| }else{ |
/* For each age */ |
| fprintf(ficresphtm,"\n <p> This combination (%d) is valid and result will be produced.</p>",j1); |
for(iage=iagemin; iage <= iagemax+3; iage++){ |
| invalidvarcomb[j1]=0; |
fprintf(ficresphtm,"<tr>"); |
| } |
if(iage==iagemax+1){ |
| fprintf(ficresphtmfr,"</table>\n"); |
fprintf(ficlog,"1"); |
| } /* end selected combination of covariate j1 */ |
fprintf(ficresphtmfr,"<tr><th>0</th> "); |
| dateintmean=dateintsum/k2cpt; |
}else if(iage==iagemax+2){ |
| |
fprintf(ficlog,"0"); |
| |
fprintf(ficresphtmfr,"<tr><th>Unknown</th> "); |
| |
}else if(iage==iagemax+3){ |
| |
fprintf(ficlog,"Total"); |
| |
fprintf(ficresphtmfr,"<tr><th>Total</th> "); |
| |
}else{ |
| |
if(first==1){ |
| |
first=0; |
| |
printf("See log file for details...\n"); |
| |
} |
| |
fprintf(ficresphtmfr,"<tr><th>%d</th> ",iage); |
| |
fprintf(ficlog,"Age %d", iage); |
| |
} |
| |
for(jk=1; jk <=nlstate ; jk++){ |
| |
for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) |
| |
pp[jk] += freq[jk][m][iage]; |
| |
} |
| |
for(jk=1; jk <=nlstate ; jk++){ |
| |
for(m=-1, pos=0; m <=0 ; m++) |
| |
pos += freq[jk][m][iage]; |
| |
if(pp[jk]>=1.e-10){ |
| |
if(first==1){ |
| |
printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); |
| |
} |
| |
fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); |
| |
}else{ |
| |
if(first==1) |
| |
printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); |
| |
fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); |
| |
} |
| |
} |
| |
|
| |
for(jk=1; jk <=nlstate ; jk++){ |
| |
/* posprop[jk]=0; */ |
| |
for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)/* Summing on all ages */ |
| |
pp[jk] += freq[jk][m][iage]; |
| |
} /* pp[jk] is the total number of transitions starting from state jk and any ending status until this age */ |
| |
|
| |
for(jk=1,pos=0, pospropta=0.; jk <=nlstate ; jk++){ |
| |
pos += pp[jk]; /* pos is the total number of transitions until this age */ |
| |
posprop[jk] += prop[jk][iage]; /* prop is the number of transitions from a live state |
| |
from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ |
| |
pospropta += prop[jk][iage]; /* prop is the number of transitions from a live state |
| |
from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ |
| |
} |
| |
for(jk=1; jk <=nlstate ; jk++){ |
| |
if(pos>=1.e-5){ |
| |
if(first==1) |
| |
printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); |
| |
fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); |
| |
}else{ |
| |
if(first==1) |
| |
printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); |
| |
fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); |
| |
} |
| |
if( iage <= iagemax){ |
| |
if(pos>=1.e-5){ |
| |
fprintf(ficresp," %d %.5f %.0f %.0f",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); |
| |
fprintf(ficresphtm,"<th>%d</th><td>%.5f</td><td>%.0f</td><td>%.0f</td>",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); |
| |
/*probs[iage][jk][j1]= pp[jk]/pos;*/ |
| |
/*printf("\niage=%d jk=%d j1=%d %.5f %.0f %.0f %f",iage,jk,j1,pp[jk]/pos, pp[jk],pos,probs[iage][jk][j1]);*/ |
| |
} |
| |
else{ |
| |
fprintf(ficresp," %d NaNq %.0f %.0f",iage,prop[jk][iage],pospropta); |
| |
fprintf(ficresphtm,"<th>%d</th><td>NaNq</td><td>%.0f</td><td>%.0f</td>",iage, prop[jk][iage],pospropta); |
| |
} |
| |
} |
| |
pospropt[jk] +=posprop[jk]; |
| |
} /* end loop jk */ |
| |
/* pospropt=0.; */ |
| |
for(jk=-1; jk <=nlstate+ndeath; jk++){ |
| |
for(m=-1; m <=nlstate+ndeath; m++){ |
| |
if(freq[jk][m][iage] !=0 ) { /* minimizing output */ |
| |
if(first==1){ |
| |
printf(" %d%d=%.0f",jk,m,freq[jk][m][iage]); |
| |
} |
| |
fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][iage]); |
| |
} |
| |
if(jk!=0 && m!=0) |
| |
fprintf(ficresphtmfr,"<td>%.0f</td> ",freq[jk][m][iage]); |
| |
} |
| |
} /* end loop jk */ |
| |
posproptt=0.; |
| |
for(jk=1; jk <=nlstate; jk++){ |
| |
posproptt += pospropt[jk]; |
| |
} |
| |
fprintf(ficresphtmfr,"</tr>\n "); |
| |
if(iage <= iagemax){ |
| |
fprintf(ficresp,"\n"); |
| |
fprintf(ficresphtm,"</tr>\n"); |
| |
} |
| |
if(first==1) |
| |
printf("Others in log...\n"); |
| |
fprintf(ficlog,"\n"); |
| |
} /* end loop age iage */ |
| |
fprintf(ficresphtm,"<tr><th>Tot</th>"); |
| |
for(jk=1; jk <=nlstate ; jk++){ |
| |
if(posproptt < 1.e-5){ |
| |
fprintf(ficresphtm,"<td>Nanq</td><td>%.0f</td><td>%.0f</td>",pospropt[jk],posproptt); |
| |
}else{ |
| |
fprintf(ficresphtm,"<td>%.5f</td><td>%.0f</td><td>%.0f</td>",pospropt[jk]/posproptt,pospropt[jk],posproptt); |
| |
} |
| |
} |
| |
fprintf(ficresphtm,"</tr>\n"); |
| |
fprintf(ficresphtm,"</table>\n"); |
| |
fprintf(ficresphtmfr,"</table>\n"); |
| |
if(posproptt < 1.e-5){ |
| |
fprintf(ficresphtm,"\n <p><b> This combination (%d) is not valid and no result will be produced</b></p>",j1); |
| |
fprintf(ficresphtmfr,"\n <p><b> This combination (%d) is not valid and no result will be produced</b></p>",j1); |
| |
fprintf(ficres,"\n This combination (%d) is not valid and no result will be produced\n\n",j1); |
| |
invalidvarcomb[j1]=1; |
| |
}else{ |
| |
fprintf(ficresphtm,"\n <p> This combination (%d) is valid and result will be produced.</p>",j1); |
| |
invalidvarcomb[j1]=0; |
| |
} |
| |
fprintf(ficresphtmfr,"</table>\n"); |
| |
} /* end selected combination of covariate j1 */ |
| |
dateintmean=dateintsum/k2cpt; |
| |
|
| fclose(ficresp); |
fclose(ficresp); |
| fclose(ficresphtm); |
fclose(ficresphtm); |
| fclose(ficresphtmfr); |
fclose(ficresphtmfr); |
| free_vector(meanq,1,nqveff); |
free_vector(meanq,1,nqfveff); |
| free_matrix(meanqt,1,lastpass,1,nqtveff); |
free_matrix(meanqt,1,lastpass,1,nqtveff); |
| free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin-AGEMARGE, iagemax+3+AGEMARGE); |
free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin-AGEMARGE, iagemax+3+AGEMARGE); |
| free_vector(pospropt,1,nlstate); |
free_vector(pospropt,1,nlstate); |
| free_vector(posprop,1,nlstate); |
free_vector(posprop,1,nlstate); |
| free_matrix(prop,1,nlstate,iagemin-AGEMARGE, iagemax+3+AGEMARGE); |
free_matrix(prop,1,nlstate,iagemin-AGEMARGE, iagemax+3+AGEMARGE); |
| free_vector(pp,1,nlstate); |
free_vector(pp,1,nlstate); |
| /* End of freqsummary */ |
/* End of freqsummary */ |
| } |
} |
| |
|
| /************ Prevalence ********************/ |
/************ Prevalence ********************/ |
| void prevalence(double ***probs, double agemin, double agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, int firstpass, int lastpass) |
void prevalence(double ***probs, double agemin, double agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, int firstpass, int lastpass) |
| { |
{ |
| /* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people |
/* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people |
| in each health status at the date of interview (if between dateprev1 and dateprev2). |
in each health status at the date of interview (if between dateprev1 and dateprev2). |
| We still use firstpass and lastpass as another selection. |
We still use firstpass and lastpass as another selection. |
| */ |
*/ |
| |
|
| int i, m, jk, j1, bool, z1,j; |
int i, m, jk, j1, bool, z1,j, iv; |
| int mi; /* Effective wave */ |
int mi; /* Effective wave */ |
| int iage; |
int iage; |
| double agebegin, ageend; |
double agebegin, ageend; |
| |
|
| double **prop; |
double **prop; |
| double posprop; |
double posprop; |
| double y2; /* in fractional years */ |
double y2; /* in fractional years */ |
| int iagemin, iagemax; |
int iagemin, iagemax; |
| int first; /** to stop verbosity which is redirected to log file */ |
int first; /** to stop verbosity which is redirected to log file */ |
| |
|
| iagemin= (int) agemin; |
iagemin= (int) agemin; |
| iagemax= (int) agemax; |
iagemax= (int) agemax; |
| /*pp=vector(1,nlstate);*/ |
/*pp=vector(1,nlstate);*/ |
| prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+3+AGEMARGE); |
prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+3+AGEMARGE); |
| /* freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/ |
/* freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/ |
| j1=0; |
j1=0; |
| |
|
| /*j=cptcoveff;*/ |
/*j=cptcoveff;*/ |
| if (cptcovn<1) {j=1;ncodemax[1]=1;} |
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
| |
|
| first=1; |
first=1; |
| for(j1=1; j1<= (int) pow(2,nqveff);j1++){ /* For each combination of covariate */ |
for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ /* For each combination of covariate */ |
| for (i=1; i<=nlstate; i++) |
for (i=1; i<=nlstate; i++) |
| for(iage=iagemin-AGEMARGE; iage <= iagemax+3+AGEMARGE; iage++) |
for(iage=iagemin-AGEMARGE; iage <= iagemax+3+AGEMARGE; iage++) |
| prop[i][iage]=0.0; |
prop[i][iage]=0.0; |
| |
printf("Prevalence combination of varying and fixed dummies %d\n",j1); |
| for (i=1; i<=imx; i++) { /* Each individual */ |
/* fprintf(ficlog," V%d=%d ",Tvaraff[j1],nbcode[Tvaraff[j1]][codtabm(k,j1)]); */ |
| bool=1; |
fprintf(ficlog,"Prevalence combination of varying and fixed dummies %d\n",j1); |
| if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
|
| for (z1=1; z1<=nqveff; z1++) /* For each covariate, look at the value for individual i and checks if it is equal to the corresponding value of this covariate according to current combination j1*/ |
for (i=1; i<=imx; i++) { /* Each individual */ |
| if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) |
bool=1; |
| bool=0; |
/* for(m=firstpass; m<=lastpass; m++){/\* Other selection (we can limit to certain interviews*\/ */ |
| } |
for(mi=1; mi<wav[i];mi++){ /* For this wave too look where individual can be counted V4=0 V3=0 */ |
| if (bool==1) { /* For this combination of covariates values, this individual fits */ |
m=mw[mi][i]; |
| /* for(m=firstpass; m<=lastpass; m++){/\* Other selection (we can limit to certain interviews*\/ */ |
/* Tmodelind[z1]=k is the position of the varying covariate in the model, but which # within 1 to ntv? */ |
| for(mi=1; mi<wav[i];mi++){ |
/* Tvar[Tmodelind[z1]] is the n of Vn; n-ncovcol-nqv is the first time varying covariate or iv */ |
| m=mw[mi][i]; |
for (z1=1; z1<=cptcoveff; z1++){ |
| agebegin=agev[m][i]; /* Age at beginning of wave before transition*/ |
if( Fixed[Tmodelind[z1]]==1){ |
| /* ageend=agev[m][i]+(dh[m][i])*stepm/YEARM; /\* Age at end of wave and transition *\/ */ |
iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; |
| if(m >=firstpass && m <=lastpass){ |
if (cotvar[m][iv][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) /* iv=1 to ntv, right modality */ |
| y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */ |
bool=0; |
| if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */ |
}else if( Fixed[Tmodelind[z1]]== 0) /* fixed */ |
| if(agev[m][i]==0) agev[m][i]=iagemax+1; |
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) { |
| if(agev[m][i]==1) agev[m][i]=iagemax+2; |
bool=0; |
| if((int)agev[m][i] <iagemin-AGEMARGE || (int)agev[m][i] >iagemax+3+AGEMARGE){ |
} |
| printf("Error on individual # %d agev[m][i]=%f <%d-%d or > %d+3+%d m=%d; either change agemin or agemax or fix data\n",i, agev[m][i],iagemin,AGEMARGE, iagemax,AGEMARGE,m); |
} |
| exit(1); |
if(bool==1){ /* Otherwise we skip that wave/person */ |
| } |
agebegin=agev[m][i]; /* Age at beginning of wave before transition*/ |
| if (s[m][i]>0 && s[m][i]<=nlstate) { |
/* ageend=agev[m][i]+(dh[m][i])*stepm/YEARM; /\* Age at end of wave and transition *\/ */ |
| /*if(i>4620) printf(" i=%d m=%d s[m][i]=%d (int)agev[m][i]=%d weight[i]=%f prop=%f\n",i,m,s[m][i],(int)agev[m][m],weight[i],prop[s[m][i]][(int)agev[m][i]]);*/ |
if(m >=firstpass && m <=lastpass){ |
| prop[s[m][i]][(int)agev[m][i]] += weight[i];/* At age of beginning of transition, where status is known */ |
y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */ |
| prop[s[m][i]][iagemax+3] += weight[i]; |
if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */ |
| } /* end valid statuses */ |
if(agev[m][i]==0) agev[m][i]=iagemax+1; |
| } /* end selection of dates */ |
if(agev[m][i]==1) agev[m][i]=iagemax+2; |
| } /* end selection of waves */ |
if((int)agev[m][i] <iagemin-AGEMARGE || (int)agev[m][i] >iagemax+3+AGEMARGE){ |
| } /* end effective waves */ |
printf("Error on individual # %d agev[m][i]=%f <%d-%d or > %d+3+%d m=%d; either change agemin or agemax or fix data\n",i, agev[m][i],iagemin,AGEMARGE, iagemax,AGEMARGE,m); |
| } /* end bool */ |
exit(1); |
| } |
} |
| for(i=iagemin; i <= iagemax+3; i++){ |
if (s[m][i]>0 && s[m][i]<=nlstate) { |
| for(jk=1,posprop=0; jk <=nlstate ; jk++) { |
/*if(i>4620) printf(" i=%d m=%d s[m][i]=%d (int)agev[m][i]=%d weight[i]=%f prop=%f\n",i,m,s[m][i],(int)agev[m][m],weight[i],prop[s[m][i]][(int)agev[m][i]]);*/ |
| posprop += prop[jk][i]; |
prop[s[m][i]][(int)agev[m][i]] += weight[i];/* At age of beginning of transition, where status is known */ |
| } |
prop[s[m][i]][iagemax+3] += weight[i]; |
| |
} /* end valid statuses */ |
| for(jk=1; jk <=nlstate ; jk++){ |
} /* end selection of dates */ |
| if( i <= iagemax){ |
} /* end selection of waves */ |
| if(posprop>=1.e-5){ |
} /* end bool */ |
| probs[i][jk][j1]= prop[jk][i]/posprop; |
} /* end wave */ |
| } else{ |
} /* end individual */ |
| if(first==1){ |
for(i=iagemin; i <= iagemax+3; i++){ |
| first=0; |
for(jk=1,posprop=0; jk <=nlstate ; jk++) { |
| printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\nSee others on log file...\n",jk,i,j1,probs[i][jk][j1]); |
posprop += prop[jk][i]; |
| } |
} |
| } |
|
| } |
for(jk=1; jk <=nlstate ; jk++){ |
| }/* end jk */ |
if( i <= iagemax){ |
| }/* end i */ |
if(posprop>=1.e-5){ |
| |
probs[i][jk][j1]= prop[jk][i]/posprop; |
| |
} else{ |
| |
if(first==1){ |
| |
first=0; |
| |
printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,j1,probs[i][jk][j1]); |
| |
} |
| |
} |
| |
} |
| |
}/* end jk */ |
| |
}/* end i */ |
| /*} *//* end i1 */ |
/*} *//* end i1 */ |
| } /* end j1 */ |
} /* end j1 */ |
| |
|
| /* free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/ |
/* free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/ |
| /*free_vector(pp,1,nlstate);*/ |
/*free_vector(pp,1,nlstate);*/ |
| free_matrix(prop,1,nlstate, iagemin-AGEMARGE,iagemax+3+AGEMARGE); |
free_matrix(prop,1,nlstate, iagemin-AGEMARGE,iagemax+3+AGEMARGE); |
| } /* End of prevalence */ |
} /* End of prevalence */ |
| |
|
| /************* Waves Concatenation ***************/ |
/************* Waves Concatenation ***************/ |
| |
|
|
Line 4261 void concatwav(int wav[], int **dh, int
|
Line 4361 void concatwav(int wav[], int **dh, int
|
| mw[mi][i] is the mi (mi=1 to wav[i]) effective wave of individual i |
mw[mi][i] is the mi (mi=1 to wav[i]) effective wave of individual i |
| dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i] |
dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i] |
| and mw[mi+1][i]. dh depends on stepm. |
and mw[mi+1][i]. dh depends on stepm. |
| */ |
*/ |
| |
|
| int i=0, mi=0, m=0, mli=0; |
int i=0, mi=0, m=0, mli=0; |
| /* int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1; |
/* int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1; |
|
Line 4280 void concatwav(int wav[], int **dh, int
|
Line 4380 void concatwav(int wav[], int **dh, int
|
| /* Treating live states */ |
/* Treating live states */ |
| for(i=1; i<=imx; i++){ /* For simple cases and if state is death */ |
for(i=1; i<=imx; i++){ /* For simple cases and if state is death */ |
| mi=0; /* First valid wave */ |
mi=0; /* First valid wave */ |
| mli=0; /* Last valid wave */ |
mli=0; /* Last valid wave */ |
| m=firstpass; |
m=firstpass; |
| while(s[m][i] <= nlstate){ /* a live state */ |
while(s[m][i] <= nlstate){ /* a live state */ |
| if(m >firstpass && s[m][i]==s[m-1][i] && mint[m][i]==mint[m-1][i] && anint[m][i]==anint[m-1][i]){/* Two succesive identical information on wave m */ |
if(m >firstpass && s[m][i]==s[m-1][i] && mint[m][i]==mint[m-1][i] && anint[m][i]==anint[m-1][i]){/* Two succesive identical information on wave m */ |
| mli=m-1;/* mw[++mi][i]=m-1; */ |
mli=m-1;/* mw[++mi][i]=m-1; */ |
| }else if(s[m][i]>=1 || s[m][i]==-4 || s[m][i]==-5){ /* Since 0.98r4 if status=-2 vital status is really unknown, wave should be skipped */ |
}else if(s[m][i]>=1 || s[m][i]==-4 || s[m][i]==-5){ /* Since 0.98r4 if status=-2 vital status is really unknown, wave should be skipped */ |
| mw[++mi][i]=m; |
mw[++mi][i]=m; |
| mli=m; |
mli=m; |
| } /* else might be a useless wave -1 and mi is not incremented and mw[mi] not updated */ |
} /* else might be a useless wave -1 and mi is not incremented and mw[mi] not updated */ |
| if(m < lastpass){ /* m < lastpass, standard case */ |
if(m < lastpass){ /* m < lastpass, standard case */ |
| m++; /* mi gives the "effective" current wave, m the current wave, go to next wave by incrementing m */ |
m++; /* mi gives the "effective" current wave, m the current wave, go to next wave by incrementing m */ |
| } |
} |
| else{ /* m >= lastpass, eventual special issue with warning */ |
else{ /* m >= lastpass, eventual special issue with warning */ |
| #ifdef UNKNOWNSTATUSNOTCONTRIBUTING |
#ifdef UNKNOWNSTATUSNOTCONTRIBUTING |
| break; |
break; |
| #else |
#else |
| if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){ |
if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){ |
| if(firsthree == 0){ |
if(firsthree == 0){ |
| printf("Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as pi. .\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m); |
printf("Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as pi. .\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m); |
| firsthree=1; |
firsthree=1; |
| } |
} |
| fprintf(ficlog,"Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as pi. .\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m); |
fprintf(ficlog,"Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as pi. .\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m); |
| mw[++mi][i]=m; |
mw[++mi][i]=m; |
| mli=m; |
mli=m; |
| } |
} |
| if(s[m][i]==-2){ /* Vital status is really unknown */ |
if(s[m][i]==-2){ /* Vital status is really unknown */ |
| nbwarn++; |
nbwarn++; |
| if((int)anint[m][i] == 9999){ /* Has the vital status really been verified? */ |
if((int)anint[m][i] == 9999){ /* Has the vital status really been verified? */ |
| printf("Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m); |
printf("Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m); |
| fprintf(ficlog,"Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m); |
fprintf(ficlog,"Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m); |
| } |
} |
| break; |
break; |
| } |
} |
| break; |
break; |
| #endif |
#endif |
| }/* End m >= lastpass */ |
}/* End m >= lastpass */ |
| }/* end while */ |
}/* end while */ |
| |
|
| /* mi is the last effective wave, m is lastpass, mw[j][i] gives the # of j-th effective wave for individual i */ |
/* mi is the last effective wave, m is lastpass, mw[j][i] gives the # of j-th effective wave for individual i */ |
| /* After last pass */ |
/* After last pass */ |
| /* Treating death states */ |
/* Treating death states */ |
| if (s[m][i] > nlstate){ /* In a death state */ |
if (s[m][i] > nlstate){ /* In a death state */ |
| /* if( mint[m][i]==mdc[m][i] && anint[m][i]==andc[m][i]){ /\* same date of death and date of interview *\/ */ |
/* if( mint[m][i]==mdc[m][i] && anint[m][i]==andc[m][i]){ /\* same date of death and date of interview *\/ */ |
| /* } */ |
/* } */ |
| mi++; /* Death is another wave */ |
mi++; /* Death is another wave */ |
| /* if(mi==0) never been interviewed correctly before death */ |
/* if(mi==0) never been interviewed correctly before death */ |
| /* Only death is a correct wave */ |
/* Only death is a correct wave */ |
| mw[mi][i]=m; |
mw[mi][i]=m; |
| } |
} |
| #ifndef DISPATCHINGKNOWNDEATHAFTERLASTWAVE |
#ifndef DISPATCHINGKNOWNDEATHAFTERLASTWAVE |
| else if ((int) andc[i] != 9999) { /* Status is negative. A death occured after lastpass, we can't take it into account because of potential bias */ |
else if ((int) andc[i] != 9999) { /* Status is negative. A death occured after lastpass, we can't take it into account because of potential bias */ |
| /* m++; */ |
/* m++; */ |
| /* mi++; */ |
/* mi++; */ |
| /* s[m][i]=nlstate+1; /\* We are setting the status to the last of non live state *\/ */ |
/* s[m][i]=nlstate+1; /\* We are setting the status to the last of non live state *\/ */ |
| /* mw[mi][i]=m; */ |
/* mw[mi][i]=m; */ |
| if ((int)anint[m][i]!= 9999) { /* date of last interview is known */ |
if ((int)anint[m][i]!= 9999) { /* date of last interview is known */ |
| if((andc[i]+moisdc[i]/12.) <=(anint[m][i]+mint[m][i]/12.)){ /* death occured before last wave and status should have been death instead of -1 */ |
if((andc[i]+moisdc[i]/12.) <=(anint[m][i]+mint[m][i]/12.)){ /* death occured before last wave and status should have been death instead of -1 */ |
| nbwarn++; |
nbwarn++; |
| if(firstfiv==0){ |
if(firstfiv==0){ |
| printf("Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d interviewed at %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); |
printf("Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d interviewed at %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); |
| firstfiv=1; |
firstfiv=1; |
| }else{ |
}else{ |
| fprintf(ficlog,"Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d interviewed at %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); |
fprintf(ficlog,"Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d interviewed at %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); |
| } |
} |
| }else{ /* Death occured afer last wave potential bias */ |
}else{ /* Death occured afer last wave potential bias */ |
| nberr++; |
nberr++; |
| if(firstwo==0){ |
if(firstwo==0){ |
| printf("Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); |
printf("Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); |
| firstwo=1; |
firstwo=1; |
| } |
} |
| fprintf(ficlog,"Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); |
fprintf(ficlog,"Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); |
| } |
} |
| }else{ /* end date of interview is known */ |
}else{ /* end date of interview is known */ |
| /* death is known but not confirmed by death status at any wave */ |
/* death is known but not confirmed by death status at any wave */ |
| if(firstfour==0){ |
if(firstfour==0){ |
| printf("Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); |
printf("Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); |
| firstfour=1; |
firstfour=1; |
| } |
} |
| fprintf(ficlog,"Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); |
fprintf(ficlog,"Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); |
| } |
} |
| } /* end if date of death is known */ |
} /* end if date of death is known */ |
| #endif |
#endif |
|
Line 4367 void concatwav(int wav[], int **dh, int
|
Line 4467 void concatwav(int wav[], int **dh, int
|
| if(mi==0){ |
if(mi==0){ |
| nbwarn++; |
nbwarn++; |
| if(first==0){ |
if(first==0){ |
| printf("Warning! No valid information for individual %ld line=%d (skipped) and may be others, see log file\n",num[i],i); |
printf("Warning! No valid information for individual %ld line=%d (skipped) and may be others, see log file\n",num[i],i); |
| first=1; |
first=1; |
| } |
} |
| if(first==1){ |
if(first==1){ |
| fprintf(ficlog,"Warning! No valid information for individual %ld line=%d (skipped)\n",num[i],i); |
fprintf(ficlog,"Warning! No valid information for individual %ld line=%d (skipped)\n",num[i],i); |
| } |
} |
| } /* end mi==0 */ |
} /* end mi==0 */ |
| } /* End individuals */ |
} /* End individuals */ |
|
Line 4381 void concatwav(int wav[], int **dh, int
|
Line 4481 void concatwav(int wav[], int **dh, int
|
| for(i=1; i<=imx; i++){ |
for(i=1; i<=imx; i++){ |
| for(mi=1; mi<wav[i];mi++){ |
for(mi=1; mi<wav[i];mi++){ |
| if (stepm <=0) |
if (stepm <=0) |
| dh[mi][i]=1; |
dh[mi][i]=1; |
| else{ |
else{ |
| if (s[mw[mi+1][i]][i] > nlstate) { /* A death */ |
if (s[mw[mi+1][i]][i] > nlstate) { /* A death */ |
| if (agedc[i] < 2*AGESUP) { |
if (agedc[i] < 2*AGESUP) { |
| j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12); |
j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12); |
| if(j==0) j=1; /* Survives at least one month after exam */ |
if(j==0) j=1; /* Survives at least one month after exam */ |
| else if(j<0){ |
else if(j<0){ |
| nberr++; |
nberr++; |
| printf("Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]); |
printf("Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]); |
| j=1; /* Temporary Dangerous patch */ |
j=1; /* Temporary Dangerous patch */ |
| printf(" We assumed that the date of interview was correct (and not the date of death) and postponed the death %d month(s) (one stepm) after the interview. You MUST fix the contradiction between dates.\n",stepm); |
printf(" We assumed that the date of interview was correct (and not the date of death) and postponed the death %d month(s) (one stepm) after the interview. You MUST fix the contradiction between dates.\n",stepm); |
| fprintf(ficlog,"Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]); |
fprintf(ficlog,"Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]); |
| fprintf(ficlog," We assumed that the date of interview was correct (and not the date of death) and postponed the death %d month(s) (one stepm) after the interview. You MUST fix the contradiction between dates.\n",stepm); |
fprintf(ficlog," We assumed that the date of interview was correct (and not the date of death) and postponed the death %d month(s) (one stepm) after the interview. You MUST fix the contradiction between dates.\n",stepm); |
| } |
} |
| k=k+1; |
k=k+1; |
| if (j >= jmax){ |
if (j >= jmax){ |
| jmax=j; |
jmax=j; |
| ijmax=i; |
ijmax=i; |
| } |
} |
| if (j <= jmin){ |
if (j <= jmin){ |
| jmin=j; |
jmin=j; |
| ijmin=i; |
ijmin=i; |
| } |
} |
| sum=sum+j; |
sum=sum+j; |
| /*if (j<0) printf("j=%d num=%d \n",j,i);*/ |
/*if (j<0) printf("j=%d num=%d \n",j,i);*/ |
| /* printf("%d %d %d %d\n", s[mw[mi][i]][i] ,s[mw[mi+1][i]][i],j,i);*/ |
/* printf("%d %d %d %d\n", s[mw[mi][i]][i] ,s[mw[mi+1][i]][i],j,i);*/ |
| } |
} |
| } |
} |
| else{ |
else{ |
| j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12)); |
j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12)); |
| /* if (j<0) printf("%d %lf %lf %d %d %d\n", i,agev[mw[mi+1][i]][i], agev[mw[mi][i]][i],j,s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]); */ |
/* if (j<0) printf("%d %lf %lf %d %d %d\n", i,agev[mw[mi+1][i]][i], agev[mw[mi][i]][i],j,s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]); */ |
| |
|
| k=k+1; |
k=k+1; |
| if (j >= jmax) { |
if (j >= jmax) { |
| jmax=j; |
jmax=j; |
| ijmax=i; |
ijmax=i; |
| } |
} |
| else if (j <= jmin){ |
else if (j <= jmin){ |
| jmin=j; |
jmin=j; |
| ijmin=i; |
ijmin=i; |
| } |
} |
| /* if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */ |
/* if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */ |
| /*printf("%d %lf %d %d %d\n", i,agev[mw[mi][i]][i],j,s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);*/ |
/*printf("%d %lf %d %d %d\n", i,agev[mw[mi][i]][i],j,s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);*/ |
| if(j<0){ |
if(j<0){ |
| nberr++; |
nberr++; |
| printf("Error! Negative delay (%d) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]); |
printf("Error! Negative delay (%d) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]); |
| fprintf(ficlog,"Error! Negative delay (%d) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]); |
fprintf(ficlog,"Error! Negative delay (%d) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]); |
| } |
} |
| sum=sum+j; |
sum=sum+j; |
| } |
} |
| jk= j/stepm; |
jk= j/stepm; |
| jl= j -jk*stepm; |
jl= j -jk*stepm; |
| ju= j -(jk+1)*stepm; |
ju= j -(jk+1)*stepm; |
| if(mle <=1){ /* only if we use a the linear-interpoloation pseudo-likelihood */ |
if(mle <=1){ /* only if we use a the linear-interpoloation pseudo-likelihood */ |
| if(jl==0){ |
if(jl==0){ |
| dh[mi][i]=jk; |
dh[mi][i]=jk; |
| bh[mi][i]=0; |
bh[mi][i]=0; |
| }else{ /* We want a negative bias in order to only have interpolation ie |
}else{ /* We want a negative bias in order to only have interpolation ie |
| * to avoid the price of an extra matrix product in likelihood */ |
* to avoid the price of an extra matrix product in likelihood */ |
| dh[mi][i]=jk+1; |
dh[mi][i]=jk+1; |
| bh[mi][i]=ju; |
bh[mi][i]=ju; |
| } |
} |
| }else{ |
}else{ |
| if(jl <= -ju){ |
if(jl <= -ju){ |
| dh[mi][i]=jk; |
dh[mi][i]=jk; |
| bh[mi][i]=jl; /* bias is positive if real duration |
bh[mi][i]=jl; /* bias is positive if real duration |
| * is higher than the multiple of stepm and negative otherwise. |
* is higher than the multiple of stepm and negative otherwise. |
| */ |
*/ |
| } |
} |
| else{ |
else{ |
| dh[mi][i]=jk+1; |
dh[mi][i]=jk+1; |
| bh[mi][i]=ju; |
bh[mi][i]=ju; |
| } |
} |
| if(dh[mi][i]==0){ |
if(dh[mi][i]==0){ |
| dh[mi][i]=1; /* At least one step */ |
dh[mi][i]=1; /* At least one step */ |
| bh[mi][i]=ju; /* At least one step */ |
bh[mi][i]=ju; /* At least one step */ |
| /* printf(" bh=%d ju=%d jl=%d dh=%d jk=%d stepm=%d %d\n",bh[mi][i],ju,jl,dh[mi][i],jk,stepm,i);*/ |
/* printf(" bh=%d ju=%d jl=%d dh=%d jk=%d stepm=%d %d\n",bh[mi][i],ju,jl,dh[mi][i],jk,stepm,i);*/ |
| } |
} |
| } /* end if mle */ |
} /* end if mle */ |
| } |
} |
| } /* end wave */ |
} /* end wave */ |
| } |
} |
| jmean=sum/k; |
jmean=sum/k; |
| printf("Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, num[ijmin], jmax, num[ijmax], jmean); |
printf("Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, num[ijmin], jmax, num[ijmax], jmean); |
| fprintf(ficlog,"Delay (in months) between two waves Min=%d (for indiviudal %d) Max=%d (%d) Mean=%f\n\n ",jmin, ijmin, jmax, ijmax, jmean); |
fprintf(ficlog,"Delay (in months) between two waves Min=%d (for indiviudal %d) Max=%d (%d) Mean=%f\n\n ",jmin, ijmin, jmax, ijmax, jmean); |
| } |
} |
| |
|
| /*********** Tricode ****************************/ |
/*********** Tricode ****************************/ |
| void tricode(int *cptcov, int *Tvar, int **nbcode, int imx, int *Ndum) |
void tricode(int *cptcov, int *Tvar, int **nbcode, int imx, int *Ndum) |
|
Line 4491 void concatwav(int wav[], int **dh, int
|
Line 4591 void concatwav(int wav[], int **dh, int
|
| |
|
| /* Loop on covariates without age and products and no quantitative variable */ |
/* Loop on covariates without age and products and no quantitative variable */ |
| /* for (j=1; j<=(cptcovs); j++) { /\* From model V1 + V2*age+ V3 + V3*V4 keeps V1 + V3 = 2 only *\/ */ |
/* for (j=1; j<=(cptcovs); j++) { /\* From model V1 + V2*age+ V3 + V3*V4 keeps V1 + V3 = 2 only *\/ */ |
| for (j=1; j<=(*cptcov); j++) { /* From model V1 + V2*age + V3 + V3*V4 keeps V1 + V3 = 2 only */ |
for (k=1; k<=cptcovt; k++) { /* From model V1 + V2*age + V3 + V3*V4 keeps V1 + V3 = 2 only */ |
| for (k=-1; k < maxncov; k++) Ndum[k]=0; |
for (j=-1; (j < maxncov); j++) Ndum[j]=0; |
| for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the |
if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */ |
| modality of this covariate Vj*/ |
switch(Fixed[k]) { |
| if(Tvar[j] >=1 && Tvar[j] <= *cptcov){ /* A real fixed covariate */ |
case 0: /* Testing on fixed dummy covariate, simple or product of fixed */ |
| ij=(int)(covar[Tvar[j]][i]); /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i |
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*/ |
| * If product of Vn*Vm, still boolean *: |
ij=(int)(covar[Tvar[k]][i]); |
| * If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables |
/* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i |
| * 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0 */ |
* If product of Vn*Vm, still boolean *: |
| /* Finds for covariate j, n=Tvar[j] of Vn . ij is the |
* If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables |
| modality of the nth covariate of individual i. */ |
* 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0 */ |
| if (ij > modmaxcovj) |
/* Finds for covariate j, n=Tvar[j] of Vn . ij is the |
| modmaxcovj=ij; |
modality of the nth covariate of individual i. */ |
| else if (ij < modmincovj) |
if (ij > modmaxcovj) |
| modmincovj=ij; |
modmaxcovj=ij; |
| if ((ij < -1) && (ij > NCOVMAX)){ |
else if (ij < modmincovj) |
| printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); |
modmincovj=ij; |
| exit(1); |
if ((ij < -1) && (ij > NCOVMAX)){ |
| }else |
printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); |
| Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/ |
exit(1); |
| /* If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */ |
}else |
| /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/ |
Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/ |
| /* getting the maximum value of the modality of the covariate |
/* If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */ |
| (should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and |
/*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/ |
| female ies 1, then modmaxcovj=1.*/ |
/* getting the maximum value of the modality of the covariate |
| } |
(should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and |
| } /* end for loop on individuals i */ |
female ies 1, then modmaxcovj=1. |
| printf(" Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], modmincovj, modmaxcovj); |
*/ |
| fprintf(ficlog," Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], modmincovj, modmaxcovj); |
} /* end for loop on individuals i */ |
| cptcode=modmaxcovj; |
printf(" Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", k, Tvar[k], modmincovj, modmaxcovj); |
| /* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */ |
fprintf(ficlog," Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", k, Tvar[k], modmincovj, modmaxcovj); |
| /*for (i=0; i<=cptcode; i++) {*/ |
cptcode=modmaxcovj; |
| for (k=modmincovj; k<=modmaxcovj; k++) { /* k=-1 ? 0 and 1*//* For each value k of the modality of model-cov j */ |
/* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */ |
| printf("Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]); |
/*for (i=0; i<=cptcode; i++) {*/ |
| fprintf(ficlog, "Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]); |
for (j=modmincovj; j<=modmaxcovj; j++) { /* j=-1 ? 0 and 1*//* For each value j of the modality of model-cov k */ |
| if( Ndum[k] != 0 ){ /* Counts if nobody answered modality k ie empty modality, we skip it and reorder */ |
printf("Frequencies of covariates %d ie V%d with value %d: %d\n", k, Tvar[k], j, Ndum[j]); |
| if( k != -1){ |
fprintf(ficlog, "Frequencies of covariates %d ie V%d with value %d: %d\n", k, Tvar[k], j, Ndum[j]); |
| ncodemax[j]++; /* ncodemax[j]= Number of modalities of the j th |
if( Ndum[j] != 0 ){ /* Counts if nobody answered modality j ie empty modality, we skip it and reorder */ |
| covariate for which somebody answered excluding |
if( j != -1){ |
| undefined. Usually 2: 0 and 1. */ |
ncodemax[k]++; /* ncodemax[k]= Number of modalities of the k th |
| } |
covariate for which somebody answered excluding |
| ncodemaxwundef[j]++; /* ncodemax[j]= Number of modalities of the j th |
undefined. Usually 2: 0 and 1. */ |
| covariate for which somebody answered including |
} |
| undefined. Usually 3: -1, 0 and 1. */ |
ncodemaxwundef[k]++; /* ncodemax[j]= Number of modalities of the k th |
| } |
covariate for which somebody answered including |
| /* In fact ncodemax[j]=2 (dichotom. variables only) but it could be more for |
undefined. Usually 3: -1, 0 and 1. */ |
| * historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */ |
} |
| } /* Ndum[-1] number of undefined modalities */ |
/* In fact ncodemax[k]=2 (dichotom. variables only) but it could be more for |
| |
* historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */ |
| /* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */ |
} /* Ndum[-1] number of undefined modalities */ |
| /* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7. |
|
| If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125; |
/* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */ |
| modmincovj=3; modmaxcovj = 7; |
/* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7. |
| There are only 3 modalities non empty 3, 6, 7 (or 2 if 27 is too few) : ncodemax[j]=3; |
If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125; |
| which will be coded 0, 1, 2 which in binary on 2=3-1 digits are 0=00 1=01, 2=10; |
modmincovj=3; modmaxcovj = 7; |
| defining two dummy variables: variables V1_1 and V1_2. |
There are only 3 modalities non empty 3, 6, 7 (or 2 if 27 is too few) : ncodemax[j]=3; |
| nbcode[Tvar[j]][ij]=k; |
which will be coded 0, 1, 2 which in binary on 2=3-1 digits are 0=00 1=01, 2=10; |
| nbcode[Tvar[j]][1]=0; |
defining two dummy variables: variables V1_1 and V1_2. |
| nbcode[Tvar[j]][2]=1; |
nbcode[Tvar[j]][ij]=k; |
| nbcode[Tvar[j]][3]=2; |
nbcode[Tvar[j]][1]=0; |
| To be continued (not working yet). |
nbcode[Tvar[j]][2]=1; |
| */ |
nbcode[Tvar[j]][3]=2; |
| ij=0; /* ij is similar to i but can jump over null modalities */ |
To be continued (not working yet). |
| for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/ |
*/ |
| if (Ndum[i] == 0) { /* If nobody responded to this modality k */ |
ij=0; /* ij is similar to i but can jump over null modalities */ |
| break; |
for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/ |
| } |
if (Ndum[i] == 0) { /* If nobody responded to this modality k */ |
| ij++; |
break; |
| nbcode[Tvar[j]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality.*/ |
} |
| cptcode = ij; /* New max modality for covar j */ |
ij++; |
| } /* end of loop on modality i=-1 to 1 or more */ |
nbcode[Tvar[k]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality. nbcode[1][1]=0 nbcode[1][2]=1*/ |
| |
cptcode = ij; /* New max modality for covar j */ |
| |
} /* end of loop on modality i=-1 to 1 or more */ |
| |
break; |
| |
case 1: /* Testing on varying covariate, could be simple and |
| |
* should look at waves or product of fixed * |
| |
* varying. No time to test -1, assuming 0 and 1 only */ |
| |
ij=0; |
| |
for(i=0; i<=1;i++){ |
| |
nbcode[Tvar[k]][++ij]=i; |
| |
} |
| |
break; |
| |
default: |
| |
break; |
| |
} /* end switch */ |
| |
} /* end dummy test */ |
| |
|
| /* for (k=0; k<= cptcode; k++) { /\* k=-1 ? k=0 to 1 *\//\* Could be 1 to 4 *\//\* cptcode=modmaxcovj *\/ */ |
/* for (k=0; k<= cptcode; k++) { /\* k=-1 ? k=0 to 1 *\//\* Could be 1 to 4 *\//\* cptcode=modmaxcovj *\/ */ |
| /* /\*recode from 0 *\/ */ |
/* /\*recode from 0 *\/ */ |
| /* k is a modality. If we have model=V1+V1*sex */ |
/* k is a modality. If we have model=V1+V1*sex */ |
|
Line 4578 void concatwav(int wav[], int **dh, int
|
Line 4693 void concatwav(int wav[], int **dh, int
|
| /* } /\* end of loop on modality k *\/ */ |
/* } /\* end of loop on modality k *\/ */ |
| } /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/ |
} /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/ |
| |
|
| for (k=-1; k< maxncov; k++) Ndum[k]=0; |
for (k=-1; k< maxncov; k++) Ndum[k]=0; |
| |
/* Look at fixed dummy (single or product) covariates to check empty modalities */ |
| for (i=1; i<=ncovmodel-2-nagesqr; i++) { /* -2, cste and age and eventually age*age */ |
for (i=1; i<=ncovmodel-2-nagesqr; i++) { /* -2, cste and age and eventually age*age */ |
| /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/ |
/* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/ |
| ij=Tvar[i]; /* Tvar might be -1 if status was unknown */ |
ij=Tvar[i]; /* Tvar 5,4,3,6,5,7,1,4 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V4*age */ |
| Ndum[ij]++; /* Might be supersed V1 + V1*age */ |
Ndum[ij]++; /* Count the # of 1, 2 etc: {1,1,1,2,2,1,1} because V1 once, V2 once, two V4 and V5 in above */ |
| } /* V4+V3+V5, Ndum[1]@5={0, 0, 1, 1, 1} */ |
/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, {2, 1, 1, 1, 2, 1, 1, 0, 0} */ |
| |
} /* V4+V3+V5, Ndum[1]@5={0, 0, 1, 1, 1} */ |
| ij=0; |
|
| for (i=0; i<= maxncov-1; i++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ |
ij=0; |
| /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ |
/* for (i=0; i<= maxncov-1; i++) { /\* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) *\/ */ |
| if((Ndum[i]!=0) && (i<=ncovcol)){ |
for (k=1; k<= cptcovt; k++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ |
| /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ |
/*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ |
| Tvaraff[++ij]=i; /*For printing (unclear) */ |
/* if((Ndum[i]!=0) && (i<=ncovcol)){ /\* Tvar[i] <= ncovmodel ? *\/ */ |
| }else if((Ndum[i]!=0) && (i<=ncovcol+nqv)){ |
if(Ndum[Tvar[k]]!=0 && Dummy[k] == 0 && Typevar[k]==0){ /* Only Dummy and non empty in the model */ |
| Tvaraff[++ij]=-10; /* Dont'n know how to treat quantitative variables yet */ |
/* If product not in single variable we don't print results */ |
| }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv)){ |
/*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ |
| Tvaraff[++ij]=i; /*For printing (unclear) */ |
++ij; |
| }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv+nqtv)){ |
Tvaraff[ij]=Tvar[k]; /*For printing */ |
| Tvaraff[++ij]=-20; /* Dont'n know how to treat quantitative variables yet */ |
Tmodelind[ij]=k; |
| } |
if(Fixed[k]!=0) |
| } /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */ |
anyvaryingduminmodel=1; |
| /* ij--; */ |
/* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv)){ */ |
| /* cptcoveff=ij; /\*Number of total covariates*\/ */ |
/* Tvaraff[++ij]=-10; /\* Dont'n know how to treat quantitative variables yet *\/ */ |
| *cptcov=ij; /*Number of total real effective covariates: effective |
/* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv)){ */ |
| * because they can be excluded from the model and real |
/* Tvaraff[++ij]=i; /\*For printing (unclear) *\/ */ |
| * if in the model but excluded because missing values*/ |
/* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv+nqtv)){ */ |
| |
/* Tvaraff[++ij]=-20; /\* Dont'n know how to treat quantitative variables yet *\/ */ |
| |
} |
| |
} /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */ |
| |
/* ij--; */ |
| |
/* cptcoveff=ij; /\*Number of total covariates*\/ */ |
| |
*cptcov=ij; /*Number of total real effective covariates: effective |
| |
* because they can be excluded from the model and real |
| |
* if in the model but excluded because missing values, but how to get k from ij?*/ |
| |
for(j=ij+1; j<= cptcovt; j++){ |
| |
Tvaraff[j]=0; |
| |
Tmodelind[j]=0; |
| |
} |
| |
/* To be sorted */ |
| |
; |
| } |
} |
| |
|
| |
|
|
Line 5452 To be simple, these graphs help to under
|
Line 5581 To be simple, these graphs help to under
|
| |
|
| cov[1]=1; |
cov[1]=1; |
| /* tj=cptcoveff; */ |
/* tj=cptcoveff; */ |
| tj = (int) pow(2,nqveff); |
tj = (int) pow(2,cptcoveff); |
| if (cptcovn<1) {tj=1;ncodemax[1]=1;} |
if (cptcovn<1) {tj=1;ncodemax[1]=1;} |
| j1=0; |
j1=0; |
| for(j1=1; j1<=tj;j1++){ /* For each valid combination of covariates or only once*/ |
for(j1=1; j1<=tj;j1++){ /* For each valid combination of covariates or only once*/ |
| if (cptcovn>0) { |
if (cptcovn>0) { |
| fprintf(ficresprob, "\n#********** Variable "); |
fprintf(ficresprob, "\n#********** Variable "); |
| for (z1=1; z1<=nqveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficresprob, "**********\n#\n"); |
fprintf(ficresprob, "**********\n#\n"); |
| fprintf(ficresprobcov, "\n#********** Variable "); |
fprintf(ficresprobcov, "\n#********** Variable "); |
| for (z1=1; z1<=nqveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficresprobcov, "**********\n#\n"); |
fprintf(ficresprobcov, "**********\n#\n"); |
| |
|
| fprintf(ficgp, "\n#********** Variable "); |
fprintf(ficgp, "\n#********** Variable "); |
| for (z1=1; z1<=nqveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficgp, "**********\n#\n"); |
fprintf(ficgp, "**********\n#\n"); |
| |
|
| |
|
| fprintf(fichtmcov, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable "); |
fprintf(fichtmcov, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable "); |
| for (z1=1; z1<=nqveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">"); |
fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">"); |
| |
|
| fprintf(ficresprobcor, "\n#********** Variable "); |
fprintf(ficresprobcor, "\n#********** Variable "); |
| for (z1=1; z1<=nqveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficresprobcor, "**********\n#"); |
fprintf(ficresprobcor, "**********\n#"); |
| if(invalidvarcomb[j1]){ |
if(invalidvarcomb[j1]){ |
| fprintf(ficgp,"\n#Combination (%d) ignored because no cases \n",j1); |
fprintf(ficgp,"\n#Combination (%d) ignored because no cases \n",j1); |
|
Line 5740 void printinghtml(char fileresu[], char
|
Line 5869 void printinghtml(char fileresu[], char
|
| |
|
| fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>"); |
fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>"); |
| |
|
| m=pow(2,nqveff); |
m=pow(2,cptcoveff); |
| if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
| |
|
| jj1=0; |
jj1=0; |
|
Line 5750 void printinghtml(char fileresu[], char
|
Line 5879 void printinghtml(char fileresu[], char
|
| jj1++; |
jj1++; |
| if (cptcovn > 0) { |
if (cptcovn > 0) { |
| fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
| for (cpt=1; cpt<=nqveff;cpt++){ |
for (cpt=1; cpt<=cptcoveff;cpt++){ |
| fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); |
fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); |
| printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); |
printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); |
| } |
} |
|
Line 5860 See page 'Matrix of variance-covariance
|
Line 5989 See page 'Matrix of variance-covariance
|
| fflush(fichtm); |
fflush(fichtm); |
| fprintf(fichtm," <ul><li><b>Graphs</b></li><p>"); |
fprintf(fichtm," <ul><li><b>Graphs</b></li><p>"); |
| |
|
| m=pow(2,nqveff); |
m=pow(2,cptcoveff); |
| if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
| |
|
| jj1=0; |
jj1=0; |
|
Line 5869 See page 'Matrix of variance-covariance
|
Line 5998 See page 'Matrix of variance-covariance
|
| jj1++; |
jj1++; |
| if (cptcovn > 0) { |
if (cptcovn > 0) { |
| fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
| for (cpt=1; cpt<=nqveff;cpt++) |
for (cpt=1; cpt<=cptcoveff;cpt++) /**< cptcoveff number of variables */ |
| fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); |
fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); |
| fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
| |
|
|
Line 5914 void printinggnuplot(char fileresu[], ch
|
Line 6043 void printinggnuplot(char fileresu[], ch
|
| /*#ifdef windows */ |
/*#ifdef windows */ |
| fprintf(ficgp,"cd \"%s\" \n",pathc); |
fprintf(ficgp,"cd \"%s\" \n",pathc); |
| /*#endif */ |
/*#endif */ |
| m=pow(2,nqveff); |
m=pow(2,cptcoveff); |
| |
|
| /* Contribution to likelihood */ |
/* Contribution to likelihood */ |
| /* Plot the probability implied in the likelihood */ |
/* Plot the probability implied in the likelihood */ |
|
Line 5952 void printinggnuplot(char fileresu[], ch
|
Line 6081 void printinggnuplot(char fileresu[], ch
|
| for (k1=1; k1<= m ; k1 ++) { /* For each valid combination of covariate */ |
for (k1=1; k1<= m ; k1 ++) { /* For each valid combination of covariate */ |
| /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ |
/* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ |
| fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files "); |
fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files "); |
| for (k=1; k<=nqveff; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the value of the covariate corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the value of the covariate corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 5992 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6121 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
| if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */ |
if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */ |
| /* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */ |
/* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */ |
| fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1 */ |
fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1 */ |
| if(nqveff ==0){ |
if(cptcoveff ==0){ |
| fprintf(ficgp,"$%d)) t 'Backward prevalence in state %d' with line ", 2+(cpt-1), cpt ); |
fprintf(ficgp,"$%d)) t 'Backward prevalence in state %d' with line ", 2+(cpt-1), cpt ); |
| }else{ |
}else{ |
| kl=0; |
kl=0; |
| for (k=1; k<=nqveff; k++){ /* For each combination of covariate */ |
for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 6007 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6136 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
| /*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ |
/*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ |
| /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */ |
/*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */ |
| /* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/ |
/* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/ |
| if(k==nqveff){ |
if(k==cptcoveff){ |
| fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' with line ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ |
fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ |
| 6+(cpt-1), cpt ); |
4+(cpt-1), cpt ); /* 4 or 6 ?*/ |
| }else{ |
}else{ |
| fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]); |
fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]); |
| kl++; |
kl++; |
|
Line 6024 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6153 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
| for (k1=1; k1<= m ; k1 ++) { |
for (k1=1; k1<= m ; k1 ++) { |
| |
|
| fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); |
fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); |
| for (k=1; k<=nqveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate number corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 6077 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6206 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
| |
|
| for (cpt=1; cpt<= nlstate ; cpt ++) { |
for (cpt=1; cpt<= nlstate ; cpt ++) { |
| fprintf(ficgp,"\n# 3d: Life expectancy with EXP_ files: cov=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n# 3d: Life expectancy with EXP_ files: cov=%d state=%d",k1, cpt); |
| for (k=1; k<=nqveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate number corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 6119 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6248 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
| |
|
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
| fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt); |
| for (k=1; k<=nqveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate number corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 6161 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6290 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ |
| |
|
| fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); |
| for (k=1; k<=nqveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate number corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[k]][lv]; |
vlv= nbcode[Tvaraff[k]][lv]; |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
| } |
} |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
| fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
| continue; |
continue; |
| } |
} |
| |
|
| fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1); |
| fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ |
| set ter svg size 640, 480\n \ |
set ter svg size 640, 480\n \ |
| unset log y\n \ |
unset log y\n \ |
| plot [%.f:%.f] ", ageminpar, agemaxpar); |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
| k=3; |
k=3; |
| for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ |
for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ |
| if(j==1) |
if(j==1) |
| fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
| else |
else |
| fprintf(ficgp,", '' "); |
fprintf(ficgp,", '' "); |
| l=(nlstate+ndeath)*(cpt-1) +j; |
l=(nlstate+ndeath)*(cpt-1) +j; |
| fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):($%d",k1,k+l); |
fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):($%d",k1,k+l); |
| /* for (i=2; i<= nlstate+ndeath ; i ++) */ |
/* for (i=2; i<= nlstate+ndeath ; i ++) */ |
| /* fprintf(ficgp,"+$%d",k+l+i-1); */ |
/* fprintf(ficgp,"+$%d",k+l+i-1); */ |
| fprintf(ficgp,") t \"l(%d,%d)\" w l",cpt,j); |
fprintf(ficgp,") t \"l(%d,%d)\" w l",cpt,j); |
| } /* nlstate */ |
} /* nlstate */ |
| fprintf(ficgp,", '' "); |
fprintf(ficgp,", '' "); |
| fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):(",k1); |
fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):(",k1); |
| for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ |
for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ |
| l=(nlstate+ndeath)*(cpt-1) +j; |
l=(nlstate+ndeath)*(cpt-1) +j; |
| if(j < nlstate) |
if(j < nlstate) |
| fprintf(ficgp,"$%d +",k+l); |
fprintf(ficgp,"$%d +",k+l); |
| else |
else |
| fprintf(ficgp,"$%d) t\"l(%d,.)\" w l",k+l,cpt); |
fprintf(ficgp,"$%d) t\"l(%d,.)\" w l",k+l,cpt); |
| } |
} |
| fprintf(ficgp,"\nset out\n"); |
fprintf(ficgp,"\nset out\n"); |
| } /* end cpt state*/ |
} /* end cpt state*/ |
| } /* end covariate */ |
} /* end covariate */ |
| |
|
| /* 6eme */ |
/* 6eme */ |
| /* CV preval stable (period) for each covariate */ |
/* CV preval stable (period) for each covariate */ |
| for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
| |
|
| fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=nqveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate number corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[k]][lv]; |
vlv= nbcode[Tvaraff[k]][lv]; |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
| } |
} |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
| fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
| continue; |
continue; |
| } |
} |
| |
|
| fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1); |
| fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ |
| set ter svg size 640, 480\n \ |
set ter svg size 640, 480\n \ |
| unset log y\n \ |
unset log y\n \ |
| plot [%.f:%.f] ", ageminpar, agemaxpar); |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
| k=3; /* Offset */ |
k=3; /* Offset */ |
| for (i=1; i<= nlstate ; i ++){ |
for (i=1; i<= nlstate ; i ++){ |
| if(i==1) |
if(i==1) |
| fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
| else |
else |
| fprintf(ficgp,", '' "); |
fprintf(ficgp,", '' "); |
| l=(nlstate+ndeath)*(i-1)+1; |
l=(nlstate+ndeath)*(i-1)+1; |
| fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); |
fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); |
| for (j=2; j<= nlstate ; j ++) |
for (j=2; j<= nlstate ; j ++) |
| fprintf(ficgp,"+$%d",k+l+j-1); |
fprintf(ficgp,"+$%d",k+l+j-1); |
| fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt); |
fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt); |
| } /* nlstate */ |
} /* nlstate */ |
| fprintf(ficgp,"\nset out\n"); |
fprintf(ficgp,"\nset out\n"); |
| } /* end cpt state*/ |
} /* end cpt state*/ |
| } /* end covariate */ |
} /* end covariate */ |
| |
|
| |
|
| /* 7eme */ |
/* 7eme */ |
| if(backcast == 1){ |
if(backcast == 1){ |
| /* CV back preval stable (period) for each covariate */ |
/* CV back preval stable (period) for each covariate */ |
| for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
| fprintf(ficgp,"\n#\n#\n#CV Back preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#CV Back preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=nqveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate number corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[k]][lv]; |
vlv= nbcode[Tvaraff[k]][lv]; |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
| } |
} |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
| fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
| continue; |
continue; |
| } |
} |
| |
|
| fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PB_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PB_"),cpt,k1); |
| fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ |
| set ter svg size 640, 480\n \ |
set ter svg size 640, 480\n \ |
| unset log y\n \ |
unset log y\n \ |
| plot [%.f:%.f] ", ageminpar, agemaxpar); |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
| k=3; /* Offset */ |
k=3; /* Offset */ |
| for (i=1; i<= nlstate ; i ++){ |
for (i=1; i<= nlstate ; i ++){ |
| if(i==1) |
if(i==1) |
| fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJB_")); |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJB_")); |
| else |
else |
| fprintf(ficgp,", '' "); |
fprintf(ficgp,", '' "); |
| /* l=(nlstate+ndeath)*(i-1)+1; */ |
/* l=(nlstate+ndeath)*(i-1)+1; */ |
| l=(nlstate+ndeath)*(cpt-1)+1; |
l=(nlstate+ndeath)*(cpt-1)+1; |
| /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier *\/ */ |
/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier *\/ */ |
| /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier *\/ */ |
/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier *\/ */ |
| fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+(cpt-1)+i-1); /* a vérifier */ |
fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+(cpt-1)+i-1); /* a vérifier */ |
| /* for (j=2; j<= nlstate ; j ++) */ |
/* for (j=2; j<= nlstate ; j ++) */ |
| /* fprintf(ficgp,"+$%d",k+l+j-1); */ |
/* fprintf(ficgp,"+$%d",k+l+j-1); */ |
| /* /\* fprintf(ficgp,"+$%d",k+l+j-1); *\/ */ |
/* /\* fprintf(ficgp,"+$%d",k+l+j-1); *\/ */ |
| fprintf(ficgp,") t \"bprev(%d,%d)\" w l",i,cpt); |
fprintf(ficgp,") t \"bprev(%d,%d)\" w l",i,cpt); |
| } /* nlstate */ |
} /* nlstate */ |
| fprintf(ficgp,"\nset out\n"); |
fprintf(ficgp,"\nset out\n"); |
| } /* end cpt state*/ |
} /* end cpt state*/ |
| } /* end covariate */ |
} /* end covariate */ |
| } /* End if backcast */ |
} /* End if backcast */ |
|
Line 6299 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6428 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| |
|
| for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
| fprintf(ficgp,"\n#\n#\n#Projection of prevalence to stable (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#Projection of prevalence to stable (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=nqveff; k++){ /* For each correspondig covariate value */ |
for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[k]][lv]; |
vlv= nbcode[Tvaraff[k]][lv]; |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
| } |
} |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
| fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
| continue; |
continue; |
| } |
} |
| |
|
| fprintf(ficgp,"# hpijx=probability over h years, hp.jx is weighted by observed prev\n "); |
fprintf(ficgp,"# hpijx=probability over h years, hp.jx is weighted by observed prev\n "); |
| fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1); |
| fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Prevalence\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Prevalence\" \n\ |
| set ter svg size 640, 480\n \ |
set ter svg size 640, 480\n \ |
| unset log y\n \ |
unset log y\n \ |
| plot [%.f:%.f] ", ageminpar, agemaxpar); |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
| for (i=1; i<= nlstate+1 ; i ++){ /* nlstate +1 p11 p21 p.1 */ |
for (i=1; i<= nlstate+1 ; i ++){ /* nlstate +1 p11 p21 p.1 */ |
| /*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ |
/*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ |
| /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ |
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ |
| /*# yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ |
/*# yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ |
| /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ |
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ |
| if(i==1){ |
if(i==1){ |
| fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"F_")); |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"F_")); |
| }else{ |
}else{ |
| fprintf(ficgp,",\\\n '' "); |
fprintf(ficgp,",\\\n '' "); |
| } |
} |
| if(nqveff ==0){ /* No covariate */ |
if(cptcoveff ==0){ /* No covariate */ |
| ioffset=2; /* Age is in 2 */ |
ioffset=2; /* Age is in 2 */ |
| /*# yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/ |
/*# yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/ |
| /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */ |
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */ |
| /*# V1 = 1 yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/ |
/*# V1 = 1 yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/ |
| /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */ |
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */ |
| fprintf(ficgp," u %d:(", ioffset); |
fprintf(ficgp," u %d:(", ioffset); |
| if(i==nlstate+1) |
if(i==nlstate+1) |
| fprintf(ficgp," $%d/(1.-$%d)) t 'pw.%d' with line ", \ |
fprintf(ficgp," $%d/(1.-$%d)) t 'pw.%d' with line ", \ |
| ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); |
ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); |
| else |
else |
| fprintf(ficgp," $%d/(1.-$%d)) t 'p%d%d' with line ", \ |
fprintf(ficgp," $%d/(1.-$%d)) t 'p%d%d' with line ", \ |
| ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,i,cpt ); |
ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,i,cpt ); |
| }else{ /* more than 2 covariates */ |
}else{ /* more than 2 covariates */ |
| if(nqveff ==1){ |
if(cptcoveff ==1){ |
| ioffset=4; /* Age is in 4 */ |
ioffset=4; /* Age is in 4 */ |
| }else{ |
}else{ |
| ioffset=6; /* Age is in 6 */ |
ioffset=6; /* Age is in 6 */ |
| /*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ |
/*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ |
| /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ |
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ |
| } |
} |
| fprintf(ficgp," u %d:(",ioffset); |
fprintf(ficgp," u %d:(",ioffset); |
| kl=0; |
kl=0; |
| strcpy(gplotcondition,"("); |
strcpy(gplotcondition,"("); |
| for (k=1; k<=nqveff; k++){ /* For each covariate writing the chain of conditions */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate writing the chain of conditions */ |
| lv= decodtabm(k1,k,nqveff); /* Should be the covariate value corresponding to combination k1 and covariate k */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to combination k1 and covariate k */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[k]][lv]; /* Value of the modality of Tvaraff[k] */ |
vlv= nbcode[Tvaraff[k]][lv]; /* Value of the modality of Tvaraff[k] */ |
| kl++; |
kl++; |
| sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); |
sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); |
| kl++; |
kl++; |
| if(k <nqveff && nqveff>1) |
if(k <cptcoveff && cptcoveff>1) |
| sprintf(gplotcondition+strlen(gplotcondition)," && "); |
sprintf(gplotcondition+strlen(gplotcondition)," && "); |
| } |
} |
| strcpy(gplotcondition+strlen(gplotcondition),")"); |
strcpy(gplotcondition+strlen(gplotcondition),")"); |
| /* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ |
/* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ |
| /*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ |
/*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ |
| /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */ |
/*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */ |
| /* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/ |
/* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/ |
| if(i==nlstate+1){ |
if(i==nlstate+1){ |
| fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p.%d' with line ", gplotcondition, \ |
fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p.%d' with line ", gplotcondition, \ |
| ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); |
ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); |
| }else{ |
}else{ |
| fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ", gplotcondition, \ |
fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ", gplotcondition, \ |
| ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset +1+(i-1)+(nlstate+1)*nlstate,i,cpt ); |
ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset +1+(i-1)+(nlstate+1)*nlstate,i,cpt ); |
| } |
} |
| } /* end if covariate */ |
} /* end if covariate */ |
| } /* nlstate */ |
} /* nlstate */ |
| fprintf(ficgp,"\nset out\n"); |
fprintf(ficgp,"\nset out\n"); |
| } /* end cpt state*/ |
} /* end cpt state*/ |
| } /* end covariate */ |
} /* end covariate */ |
| } /* End if prevfcast */ |
} /* End if prevfcast */ |
| |
|
| |
|
| /* proba elementaires */ |
/* proba elementaires */ |
| fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n"); |
fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n"); |
| for(i=1,jk=1; i <=nlstate; i++){ |
for(i=1,jk=1; i <=nlstate; i++){ |
| fprintf(ficgp,"# initial state %d\n",i); |
fprintf(ficgp,"# initial state %d\n",i); |
| for(k=1; k <=(nlstate+ndeath); k++){ |
for(k=1; k <=(nlstate+ndeath); k++){ |
| if (k != i) { |
if (k != i) { |
| fprintf(ficgp,"# current state %d\n",k); |
fprintf(ficgp,"# current state %d\n",k); |
| for(j=1; j <=ncovmodel; j++){ |
for(j=1; j <=ncovmodel; j++){ |
| fprintf(ficgp,"p%d=%f; ",jk,p[jk]); |
fprintf(ficgp,"p%d=%f; ",jk,p[jk]); |
| jk++; |
jk++; |
| } |
} |
| fprintf(ficgp,"\n"); |
fprintf(ficgp,"\n"); |
| } |
} |
| } |
} |
| } |
} |
| fprintf(ficgp,"##############\n#\n"); |
fprintf(ficgp,"##############\n#\n"); |
| |
|
| /*goto avoid;*/ |
/*goto avoid;*/ |
| fprintf(ficgp,"\n##############\n#Graphics of probabilities or incidences\n#############\n"); |
fprintf(ficgp,"\n##############\n#Graphics of probabilities or incidences\n#############\n"); |
| fprintf(ficgp,"# logi(p12/p11)=a12+b12*age+c12age*age+d12*V1+e12*V1*age\n"); |
fprintf(ficgp,"# logi(p12/p11)=a12+b12*age+c12age*age+d12*V1+e12*V1*age\n"); |
|
Line 6420 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6549 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| fprintf(ficgp,"#\n"); |
fprintf(ficgp,"#\n"); |
| for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/ |
for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/ |
| fprintf(ficgp,"# ng=%d\n",ng); |
fprintf(ficgp,"# ng=%d\n",ng); |
| fprintf(ficgp,"# jk=1 to 2^%d=%d\n",nqveff,m); |
fprintf(ficgp,"# jk=1 to 2^%d=%d\n",cptcoveff,m); |
| for(jk=1; jk <=m; jk++) { |
for(jk=1; jk <=m; jk++) { |
| fprintf(ficgp,"# jk=%d\n",jk); |
fprintf(ficgp,"# jk=%d\n",jk); |
| fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),jk,ng); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),jk,ng); |
|
Line 6473 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6602 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| } |
} |
| } |
} |
| else |
else |
| fprintf(ficgp,"+p%d*%d",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); |
fprintf(ficgp,"+p%d*%d",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); /* Valgrind bug nbcode */ |
| } |
} |
| }else{ |
}else{ |
| i=i-ncovmodel; |
i=i-ncovmodel; |
| if(ng !=1 ) /* For logit formula of log p11 is more difficult to get */ |
if(ng !=1 ) /* For logit formula of log p11 is more difficult to get */ |
| fprintf(ficgp," (1."); |
fprintf(ficgp," (1."); |
| } |
} |
| |
|
| if(ng != 1){ |
if(ng != 1){ |
| fprintf(ficgp,")/(1"); |
fprintf(ficgp,")/(1"); |
| |
|
| for(k1=1; k1 <=nlstate; k1++){ |
for(k1=1; k1 <=nlstate; k1++){ |
| if(nagesqr==0) |
if(nagesqr==0) |
| fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1); |
fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1); |
|
Line 6500 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6629 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| } |
} |
| } |
} |
| else |
else |
| fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); |
fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);/* Valgrind bug nbcode */ |
| } |
} |
| fprintf(ficgp,")"); |
fprintf(ficgp,")"); |
| } |
} |
|
Line 6543 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6672 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| double *agemingood, *agemaxgood; /* Currently identical for all covariates */ |
double *agemingood, *agemaxgood; /* Currently identical for all covariates */ |
| |
|
| |
|
| /* modcovmax=2*nqveff;/\* Max number of modalities. We suppose */ |
/* modcovmax=2*cptcoveff;/\* Max number of modalities. We suppose */ |
| /* a covariate has 2 modalities, should be equal to ncovcombmax *\/ */ |
/* a covariate has 2 modalities, should be equal to ncovcombmax *\/ */ |
| |
|
| sumnewp = vector(1,ncovcombmax); |
sumnewp = vector(1,ncovcombmax); |
|
Line 6684 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6813 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| |
|
| |
|
| /************** Forecasting ******************/ |
/************** Forecasting ******************/ |
| void prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int nqveff){ |
void prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){ |
| /* proj1, year, month, day of starting projection |
/* proj1, year, month, day of starting projection |
| agemin, agemax range of age |
agemin, agemax range of age |
| dateprev1 dateprev2 range of dates during which prevalence is computed |
dateprev1 dateprev2 range of dates during which prevalence is computed |
|
Line 6715 void prevforecast(char fileres[], double
|
Line 6844 void prevforecast(char fileres[], double
|
| printf("Computing forecasting: result on file '%s', please wait... \n", fileresf); |
printf("Computing forecasting: result on file '%s', please wait... \n", fileresf); |
| fprintf(ficlog,"Computing forecasting: result on file '%s', please wait... \n", fileresf); |
fprintf(ficlog,"Computing forecasting: result on file '%s', please wait... \n", fileresf); |
| |
|
| if (nqveff==0) ncodemax[nqveff]=1; |
if (cptcoveff==0) ncodemax[cptcoveff]=1; |
| |
|
| |
|
| stepsize=(int) (stepm+YEARM-1)/YEARM; |
stepsize=(int) (stepm+YEARM-1)/YEARM; |
|
Line 6736 void prevforecast(char fileres[], double
|
Line 6865 void prevforecast(char fileres[], double
|
| if(jprojmean==0) jprojmean=1; |
if(jprojmean==0) jprojmean=1; |
| if(mprojmean==0) jprojmean=1; |
if(mprojmean==0) jprojmean=1; |
| |
|
| i1=nqveff; |
i1=pow(2,cptcoveff); |
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| fprintf(ficresf,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); |
fprintf(ficresf,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); |
| |
|
| fprintf(ficresf,"#****** Routine prevforecast **\n"); |
fprintf(ficresf,"#****** Routine prevforecast **\n"); |
| |
|
| /* if (h==(int)(YEARM*yearp)){ */ |
/* if (h==(int)(YEARM*yearp)){ */ |
| for(cptcov=1, k=0;cptcov<=i1;cptcov++){ |
for(k=1;k<=i1;k++){ |
| for(cptcod=1;cptcod<=ncodemax[nqveff];cptcod++){ |
if(invalidvarcomb[k]){ |
| k=k+1; |
printf("\nCombination (%d) projection ignored because no cases \n",k); |
| fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#"); |
continue; |
| for(j=1;j<=nqveff;j++) { |
} |
| fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#"); |
| } |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficresf," yearproj age"); |
fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| for(j=1; j<=nlstate+ndeath;j++){ |
} |
| for(i=1; i<=nlstate;i++) |
fprintf(ficresf," yearproj age"); |
| fprintf(ficresf," p%d%d",i,j); |
for(j=1; j<=nlstate+ndeath;j++){ |
| fprintf(ficresf," wp.%d",j); |
for(i=1; i<=nlstate;i++) |
| } |
fprintf(ficresf," p%d%d",i,j); |
| for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { |
fprintf(ficresf," wp.%d",j); |
| fprintf(ficresf,"\n"); |
} |
| fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp); |
for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { |
| for (agec=fage; agec>=(ageminpar-1); agec--){ |
fprintf(ficresf,"\n"); |
| nhstepm=(int) rint((agelim-agec)*YEARM/stepm); |
fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp); |
| nhstepm = nhstepm/hstepm; |
for (agec=fage; agec>=(ageminpar-1); agec--){ |
| p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
nhstepm=(int) rint((agelim-agec)*YEARM/stepm); |
| oldm=oldms;savm=savms; |
nhstepm = nhstepm/hstepm; |
| hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k); |
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
oldm=oldms;savm=savms; |
| for (h=0; h<=nhstepm; h++){ |
hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k); |
| if (h*hstepm/YEARM*stepm ==yearp) { |
|
| fprintf(ficresf,"\n"); |
for (h=0; h<=nhstepm; h++){ |
| for(j=1;j<=nqveff;j++) |
if (h*hstepm/YEARM*stepm ==yearp) { |
| fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresf,"\n"); |
| fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm); |
for(j=1;j<=cptcoveff;j++) |
| } |
fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| for(j=1; j<=nlstate+ndeath;j++) { |
fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm); |
| ppij=0.; |
} |
| for(i=1; i<=nlstate;i++) { |
for(j=1; j<=nlstate+ndeath;j++) { |
| if (mobilav==1) |
ppij=0.; |
| ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][cptcod]; |
for(i=1; i<=nlstate;i++) { |
| else { |
if (mobilav==1) |
| ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][cptcod]; |
ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][k]; |
| } |
else { |
| if (h*hstepm/YEARM*stepm== yearp) { |
ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][k]; |
| fprintf(ficresf," %.3f", p3mat[i][j][h]); |
} |
| } |
if (h*hstepm/YEARM*stepm== yearp) { |
| } /* end i */ |
fprintf(ficresf," %.3f", p3mat[i][j][h]); |
| if (h*hstepm/YEARM*stepm==yearp) { |
} |
| fprintf(ficresf," %.3f", ppij); |
} /* end i */ |
| } |
if (h*hstepm/YEARM*stepm==yearp) { |
| }/* end j */ |
fprintf(ficresf," %.3f", ppij); |
| } /* end h */ |
} |
| free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
}/* end j */ |
| } /* end agec */ |
} /* end h */ |
| } /* end yearp */ |
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| } /* end cptcod */ |
} /* end agec */ |
| } /* end cptcov */ |
} /* end yearp */ |
| |
} /* end k */ |
| |
|
| fclose(ficresf); |
fclose(ficresf); |
| printf("End of Computing forecasting \n"); |
printf("End of Computing forecasting \n"); |
|
Line 6804 void prevforecast(char fileres[], double
|
Line 6934 void prevforecast(char fileres[], double
|
| } |
} |
| |
|
| /* /\************** Back Forecasting ******************\/ */ |
/* /\************** Back Forecasting ******************\/ */ |
| /* void prevbackforecast(char fileres[], double anback1, double mback1, double jback1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anback2, double p[], int nqveff){ */ |
/* void prevbackforecast(char fileres[], double anback1, double mback1, double jback1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anback2, double p[], int cptcoveff){ */ |
| /* /\* back1, year, month, day of starting backection */ |
/* /\* back1, year, month, day of starting backection */ |
| /* agemin, agemax range of age */ |
/* agemin, agemax range of age */ |
| /* dateprev1 dateprev2 range of dates during which prevalence is computed */ |
/* dateprev1 dateprev2 range of dates during which prevalence is computed */ |
|
Line 6836 void prevforecast(char fileres[], double
|
Line 6966 void prevforecast(char fileres[], double
|
| /* printf("Computing back forecasting: result on file '%s', please wait... \n", fileresfb); */ |
/* printf("Computing back forecasting: result on file '%s', please wait... \n", fileresfb); */ |
| /* fprintf(ficlog,"Computing back forecasting: result on file '%s', please wait... \n", fileresfb); */ |
/* fprintf(ficlog,"Computing back forecasting: result on file '%s', please wait... \n", fileresfb); */ |
| |
|
| /* if (nqveff==0) ncodemax[nqveff]=1; */ |
/* if (cptcoveff==0) ncodemax[cptcoveff]=1; */ |
| |
|
| /* /\* if (mobilav!=0) { *\/ */ |
/* /\* if (mobilav!=0) { *\/ */ |
| /* /\* mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); *\/ */ |
/* /\* mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); *\/ */ |
|
Line 6864 void prevforecast(char fileres[], double
|
Line 6994 void prevforecast(char fileres[], double
|
| /* if(jprojmean==0) jprojmean=1; */ |
/* if(jprojmean==0) jprojmean=1; */ |
| /* if(mprojmean==0) jprojmean=1; */ |
/* if(mprojmean==0) jprojmean=1; */ |
| |
|
| /* i1=nqveff; */ |
/* i1=cptcoveff; */ |
| /* if (cptcovn < 1){i1=1;} */ |
/* if (cptcovn < 1){i1=1;} */ |
| |
|
| /* fprintf(ficresfb,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); */ |
/* fprintf(ficresfb,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); */ |
|
Line 6873 void prevforecast(char fileres[], double
|
Line 7003 void prevforecast(char fileres[], double
|
| |
|
| /* /\* if (h==(int)(YEARM*yearp)){ *\/ */ |
/* /\* if (h==(int)(YEARM*yearp)){ *\/ */ |
| /* for(cptcov=1, k=0;cptcov<=i1;cptcov++){ */ |
/* for(cptcov=1, k=0;cptcov<=i1;cptcov++){ */ |
| /* for(cptcod=1;cptcod<=ncodemax[nqveff];cptcod++){ */ |
/* for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){ */ |
| /* k=k+1; */ |
/* k=k+1; */ |
| /* fprintf(ficresfb,"\n#****** hbijx=probability over h years, hp.jx is weighted by observed prev \n#"); */ |
/* fprintf(ficresfb,"\n#****** hbijx=probability over h years, hp.jx is weighted by observed prev \n#"); */ |
| /* for(j=1;j<=nqveff;j++) { */ |
/* for(j=1;j<=cptcoveff;j++) { */ |
| /* fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ |
/* fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ |
| /* } */ |
/* } */ |
| /* fprintf(ficresfb," yearbproj age"); */ |
/* fprintf(ficresfb," yearbproj age"); */ |
|
Line 6898 void prevforecast(char fileres[], double
|
Line 7028 void prevforecast(char fileres[], double
|
| /* for (h=0; h<=nhstepm; h++){ */ |
/* for (h=0; h<=nhstepm; h++){ */ |
| /* if (h*hstepm/YEARM*stepm ==yearp) { */ |
/* if (h*hstepm/YEARM*stepm ==yearp) { */ |
| /* fprintf(ficresfb,"\n"); */ |
/* fprintf(ficresfb,"\n"); */ |
| /* for(j=1;j<=nqveff;j++) */ |
/* for(j=1;j<=cptcoveff;j++) */ |
| /* fprintf(ficresfb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ |
/* fprintf(ficresfb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ |
| /* fprintf(ficresfb,"%.f %.f ",anback1+yearp,agec+h*hstepm/YEARM*stepm); */ |
/* fprintf(ficresfb,"%.f %.f ",anback1+yearp,agec+h*hstepm/YEARM*stepm); */ |
| /* } */ |
/* } */ |
|
Line 6934 void prevforecast(char fileres[], double
|
Line 7064 void prevforecast(char fileres[], double
|
| /* } */ |
/* } */ |
| |
|
| /************** Forecasting *****not tested NB*************/ |
/************** Forecasting *****not tested NB*************/ |
| void populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){ |
/* void populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2s, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){ */ |
| |
|
| int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h; |
/* int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h; */ |
| int *popage; |
/* int *popage; */ |
| double calagedatem, agelim, kk1, kk2; |
/* double calagedatem, agelim, kk1, kk2; */ |
| double *popeffectif,*popcount; |
/* double *popeffectif,*popcount; */ |
| double ***p3mat,***tabpop,***tabpopprev; |
/* double ***p3mat,***tabpop,***tabpopprev; */ |
| /* double ***mobaverage; */ |
/* /\* double ***mobaverage; *\/ */ |
| char filerespop[FILENAMELENGTH]; |
/* char filerespop[FILENAMELENGTH]; */ |
| |
|
| tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
/* tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ |
| tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
/* tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ |
| agelim=AGESUP; |
/* agelim=AGESUP; */ |
| calagedatem=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM; |
/* calagedatem=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM; */ |
| |
|
| prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); |
/* prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */ |
| |
|
| |
|
| strcpy(filerespop,"POP_"); |
/* strcpy(filerespop,"POP_"); */ |
| strcat(filerespop,fileresu); |
/* strcat(filerespop,fileresu); */ |
| if((ficrespop=fopen(filerespop,"w"))==NULL) { |
/* if((ficrespop=fopen(filerespop,"w"))==NULL) { */ |
| printf("Problem with forecast resultfile: %s\n", filerespop); |
/* printf("Problem with forecast resultfile: %s\n", filerespop); */ |
| fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop); |
/* fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop); */ |
| } |
/* } */ |
| printf("Computing forecasting: result on file '%s' \n", filerespop); |
/* printf("Computing forecasting: result on file '%s' \n", filerespop); */ |
| fprintf(ficlog,"Computing forecasting: result on file '%s' \n", filerespop); |
/* fprintf(ficlog,"Computing forecasting: result on file '%s' \n", filerespop); */ |
| |
|
| if (nqveff==0) ncodemax[nqveff]=1; |
/* if (cptcoveff==0) ncodemax[cptcoveff]=1; */ |
| |
|
| /* if (mobilav!=0) { */ |
/* /\* if (mobilav!=0) { *\/ */ |
| /* mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ |
/* /\* mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); *\/ */ |
| /* if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){ */ |
/* /\* if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){ *\/ */ |
| /* fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); */ |
/* /\* fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); *\/ */ |
| /* printf(" Error in movingaverage mobilav=%d\n",mobilav); */ |
/* /\* printf(" Error in movingaverage mobilav=%d\n",mobilav); *\/ */ |
| /* } */ |
/* /\* } *\/ */ |
| /* } */ |
/* /\* } *\/ */ |
| |
|
| stepsize=(int) (stepm+YEARM-1)/YEARM; |
/* stepsize=(int) (stepm+YEARM-1)/YEARM; */ |
| if (stepm<=12) stepsize=1; |
/* if (stepm<=12) stepsize=1; */ |
| |
|
| agelim=AGESUP; |
/* agelim=AGESUP; */ |
| |
|
| hstepm=1; |
/* hstepm=1; */ |
| hstepm=hstepm/stepm; |
/* hstepm=hstepm/stepm; */ |
| |
|
| if (popforecast==1) { |
/* if (popforecast==1) { */ |
| if((ficpop=fopen(popfile,"r"))==NULL) { |
/* if((ficpop=fopen(popfile,"r"))==NULL) { */ |
| printf("Problem with population file : %s\n",popfile);exit(0); |
/* printf("Problem with population file : %s\n",popfile);exit(0); */ |
| fprintf(ficlog,"Problem with population file : %s\n",popfile);exit(0); |
/* fprintf(ficlog,"Problem with population file : %s\n",popfile);exit(0); */ |
| } |
/* } */ |
| popage=ivector(0,AGESUP); |
/* popage=ivector(0,AGESUP); */ |
| popeffectif=vector(0,AGESUP); |
/* popeffectif=vector(0,AGESUP); */ |
| popcount=vector(0,AGESUP); |
/* popcount=vector(0,AGESUP); */ |
| |
|
| i=1; |
/* i=1; */ |
| while ((c=fscanf(ficpop,"%d %lf\n",&popage[i],&popcount[i])) != EOF) i=i+1; |
/* while ((c=fscanf(ficpop,"%d %lf\n",&popage[i],&popcount[i])) != EOF) i=i+1; */ |
| |
|
| imx=i; |
/* imx=i; */ |
| for (i=1; i<imx;i++) popeffectif[popage[i]]=popcount[i]; |
/* for (i=1; i<imx;i++) popeffectif[popage[i]]=popcount[i]; */ |
| } |
/* } */ |
| |
|
| for(cptcov=1,k=0;cptcov<=i2;cptcov++){ |
/* for(cptcov=1,k=0;cptcov<=i2;cptcov++){ */ |
| for(cptcod=1;cptcod<=ncodemax[nqveff];cptcod++){ |
/* for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){ */ |
| k=k+1; |
/* k=k+1; */ |
| fprintf(ficrespop,"\n#******"); |
/* fprintf(ficrespop,"\n#******"); */ |
| for(j=1;j<=nqveff;j++) { |
/* for(j=1;j<=cptcoveff;j++) { */ |
| fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
/* fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ |
| } |
/* } */ |
| fprintf(ficrespop,"******\n"); |
/* fprintf(ficrespop,"******\n"); */ |
| fprintf(ficrespop,"# Age"); |
/* fprintf(ficrespop,"# Age"); */ |
| for(j=1; j<=nlstate+ndeath;j++) fprintf(ficrespop," P.%d",j); |
/* for(j=1; j<=nlstate+ndeath;j++) fprintf(ficrespop," P.%d",j); */ |
| if (popforecast==1) fprintf(ficrespop," [Population]"); |
/* if (popforecast==1) fprintf(ficrespop," [Population]"); */ |
| |
|
| for (cpt=0; cpt<=0;cpt++) { |
/* for (cpt=0; cpt<=0;cpt++) { */ |
| fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt); |
/* fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt); */ |
| |
|
| for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ |
/* for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ */ |
| nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); |
/* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); */ |
| nhstepm = nhstepm/hstepm; |
/* nhstepm = nhstepm/hstepm; */ |
| |
|
| p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
/* p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); */ |
| oldm=oldms;savm=savms; |
/* oldm=oldms;savm=savms; */ |
| hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); |
/* hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */ |
| |
|
| for (h=0; h<=nhstepm; h++){ |
/* for (h=0; h<=nhstepm; h++){ */ |
| if (h==(int) (calagedatem+YEARM*cpt)) { |
/* if (h==(int) (calagedatem+YEARM*cpt)) { */ |
| fprintf(ficrespop,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm); |
/* fprintf(ficrespop,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm); */ |
| } |
/* } */ |
| for(j=1; j<=nlstate+ndeath;j++) { |
/* for(j=1; j<=nlstate+ndeath;j++) { */ |
| kk1=0.;kk2=0; |
/* kk1=0.;kk2=0; */ |
| for(i=1; i<=nlstate;i++) { |
/* for(i=1; i<=nlstate;i++) { */ |
| if (mobilav==1) |
/* if (mobilav==1) */ |
| kk1=kk1+p3mat[i][j][h]*mobaverage[(int)agedeb+1][i][cptcod]; |
/* kk1=kk1+p3mat[i][j][h]*mobaverage[(int)agedeb+1][i][cptcod]; */ |
| else { |
/* else { */ |
| kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod]; |
/* kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod]; */ |
| } |
/* } */ |
| } |
/* } */ |
| if (h==(int)(calagedatem+12*cpt)){ |
/* if (h==(int)(calagedatem+12*cpt)){ */ |
| tabpop[(int)(agedeb)][j][cptcod]=kk1; |
/* tabpop[(int)(agedeb)][j][cptcod]=kk1; */ |
| /*fprintf(ficrespop," %.3f", kk1); |
/* /\*fprintf(ficrespop," %.3f", kk1); */ |
| if (popforecast==1) fprintf(ficrespop," [%.f]", kk1*popeffectif[(int)agedeb+1]);*/ |
/* if (popforecast==1) fprintf(ficrespop," [%.f]", kk1*popeffectif[(int)agedeb+1]);*\/ */ |
| } |
/* } */ |
| } |
/* } */ |
| for(i=1; i<=nlstate;i++){ |
/* for(i=1; i<=nlstate;i++){ */ |
| kk1=0.; |
/* kk1=0.; */ |
| for(j=1; j<=nlstate;j++){ |
/* for(j=1; j<=nlstate;j++){ */ |
| kk1= kk1+tabpop[(int)(agedeb)][j][cptcod]; |
/* kk1= kk1+tabpop[(int)(agedeb)][j][cptcod]; */ |
| } |
/* } */ |
| tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1*popeffectif[(int)(agedeb+(calagedatem+12*cpt)*hstepm/YEARM*stepm-1)]; |
/* tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1*popeffectif[(int)(agedeb+(calagedatem+12*cpt)*hstepm/YEARM*stepm-1)]; */ |
| } |
/* } */ |
| |
|
| if (h==(int)(calagedatem+12*cpt)) |
/* if (h==(int)(calagedatem+12*cpt)) */ |
| for(j=1; j<=nlstate;j++) |
/* for(j=1; j<=nlstate;j++) */ |
| fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]); |
/* fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]); */ |
| } |
/* } */ |
| free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
/* free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); */ |
| } |
/* } */ |
| } |
/* } */ |
| |
|
| /******/ |
/* /\******\/ */ |
| |
|
| for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) { |
/* for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) { */ |
| fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt); |
/* fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt); */ |
| for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ |
/* for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ */ |
| nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); |
/* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); */ |
| nhstepm = nhstepm/hstepm; |
/* nhstepm = nhstepm/hstepm; */ |
| |
|
| p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
/* p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); */ |
| oldm=oldms;savm=savms; |
/* oldm=oldms;savm=savms; */ |
| hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); |
/* hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */ |
| for (h=0; h<=nhstepm; h++){ |
/* for (h=0; h<=nhstepm; h++){ */ |
| if (h==(int) (calagedatem+YEARM*cpt)) { |
/* if (h==(int) (calagedatem+YEARM*cpt)) { */ |
| fprintf(ficresf,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm); |
/* fprintf(ficresf,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm); */ |
| } |
/* } */ |
| for(j=1; j<=nlstate+ndeath;j++) { |
/* for(j=1; j<=nlstate+ndeath;j++) { */ |
| kk1=0.;kk2=0; |
/* kk1=0.;kk2=0; */ |
| for(i=1; i<=nlstate;i++) { |
/* for(i=1; i<=nlstate;i++) { */ |
| kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod]; |
/* kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod]; */ |
| } |
/* } */ |
| if (h==(int)(calagedatem+12*cpt)) fprintf(ficresf," %15.2f", kk1); |
/* if (h==(int)(calagedatem+12*cpt)) fprintf(ficresf," %15.2f", kk1); */ |
| } |
/* } */ |
| } |
/* } */ |
| free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
/* free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); */ |
| } |
/* } */ |
| } |
/* } */ |
| } |
/* } */ |
| } |
/* } */ |
| |
|
| /* if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ |
/* /\* if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); *\/ */ |
| |
|
| if (popforecast==1) { |
/* if (popforecast==1) { */ |
| free_ivector(popage,0,AGESUP); |
/* free_ivector(popage,0,AGESUP); */ |
| free_vector(popeffectif,0,AGESUP); |
/* free_vector(popeffectif,0,AGESUP); */ |
| free_vector(popcount,0,AGESUP); |
/* free_vector(popcount,0,AGESUP); */ |
| } |
/* } */ |
| free_ma3x(tabpop,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
/* free_ma3x(tabpop,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ |
| free_ma3x(tabpopprev,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
/* free_ma3x(tabpopprev,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ |
| fclose(ficrespop); |
/* fclose(ficrespop); */ |
| } /* End of popforecast */ |
/* } /\* End of popforecast *\/ */ |
| |
|
| int fileappend(FILE *fichier, char *optionfich) |
int fileappend(FILE *fichier, char *optionfich) |
| { |
{ |
|
Line 7396 int readdata(char datafile[], int firsto
|
Line 7526 int readdata(char datafile[], int firsto
|
| /* Loops on waves */ |
/* Loops on waves */ |
| for (j=maxwav;j>=1;j--){ |
for (j=maxwav;j>=1;j--){ |
| for (iv=nqtv;iv>=1;iv--){ /* Loop on time varying quantitative variables */ |
for (iv=nqtv;iv>=1;iv--){ /* Loop on time varying quantitative variables */ |
| cutv(stra, strb, line, ' '); |
cutv(stra, strb, line, ' '); |
| if(strb[0]=='.') { /* Missing value */ |
if(strb[0]=='.') { /* Missing value */ |
| lval=-1; |
lval=-1; |
| }else{ |
cotqvar[j][iv][i]=-1; /* 0.0/0.0 */ |
| errno=0; |
if(isalpha(strb[1])) { /* .m or .d Really Missing value */ |
| /* what_kind_of_number(strb); */ |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j); |
| dval=strtod(strb,&endptr); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j);fflush(ficlog); |
| /* if( strb[0]=='\0' || (*endptr != '\0')){ */ |
return 1; |
| /* if(strb != endptr && *endptr == '\0') */ |
} |
| /* dval=dlval; */ |
}else{ |
| /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN)) */ |
errno=0; |
| if( strb[0]=='\0' || (*endptr != '\0')){ |
/* what_kind_of_number(strb); */ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, nqtv, j,maxwav); |
dval=strtod(strb,&endptr); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqtv, j,maxwav);fflush(ficlog); |
/* if( strb[0]=='\0' || (*endptr != '\0')){ */ |
| return 1; |
/* if(strb != endptr && *endptr == '\0') */ |
| } |
/* dval=dlval; */ |
| cotqvar[j][iv][i]=dval; |
/* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN)) */ |
| } |
if( strb[0]=='\0' || (*endptr != '\0')){ |
| strcpy(line,stra); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, nqtv, j,maxwav); |
| |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqtv, j,maxwav);fflush(ficlog); |
| |
return 1; |
| |
} |
| |
cotqvar[j][iv][i]=dval; |
| |
} |
| |
strcpy(line,stra); |
| }/* end loop ntqv */ |
}/* end loop ntqv */ |
| |
|
| for (iv=ntv;iv>=1;iv--){ /* Loop on time varying dummies */ |
for (iv=ntv;iv>=1;iv--){ /* Loop on time varying dummies */ |
| cutv(stra, strb, line, ' '); |
cutv(stra, strb, line, ' '); |
| if(strb[0]=='.') { /* Missing value */ |
if(strb[0]=='.') { /* Missing value */ |
| lval=-1; |
lval=-1; |
| }else{ |
}else{ |
| errno=0; |
errno=0; |
| lval=strtol(strb,&endptr,10); |
lval=strtol(strb,&endptr,10); |
| /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ |
/* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ |
| if( strb[0]=='\0' || (*endptr != '\0')){ |
if( strb[0]=='\0' || (*endptr != '\0')){ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th dummy covariate out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, ntv, j,maxwav); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th dummy covariate out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, ntv, j,maxwav); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d dummy covariate out of %d measured wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, ntv,j,maxwav);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d dummy covariate out of %d measured wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, ntv,j,maxwav);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| } |
} |
| if(lval <-1 || lval >1){ |
if(lval <-1 || lval >1){ |
| printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
| Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
| for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
| For example, for multinomial values like 1, 2 and 3,\n \ |
For example, for multinomial values like 1, 2 and 3,\n \ |
| build V1=0 V2=0 for the reference value (1),\n \ |
build V1=0 V2=0 for the reference value (1),\n \ |
| V1=1 V2=0 for (2) \n \ |
V1=1 V2=0 for (2) \n \ |
| and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
| output of IMaCh is often meaningless.\n \ |
output of IMaCh is often meaningless.\n \ |
| Exiting.\n",lval,linei, i,line,j); |
Exiting.\n",lval,linei, i,line,j); |
| fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
| Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
| for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
| For example, for multinomial values like 1, 2 and 3,\n \ |
For example, for multinomial values like 1, 2 and 3,\n \ |
| build V1=0 V2=0 for the reference value (1),\n \ |
build V1=0 V2=0 for the reference value (1),\n \ |
| V1=1 V2=0 for (2) \n \ |
V1=1 V2=0 for (2) \n \ |
| and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
| output of IMaCh is often meaningless.\n \ |
output of IMaCh is often meaningless.\n \ |
| Exiting.\n",lval,linei, i,line,j);fflush(ficlog); |
Exiting.\n",lval,linei, i,line,j);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| cotvar[j][iv][i]=(double)(lval); |
cotvar[j][iv][i]=(double)(lval); |
| strcpy(line,stra); |
strcpy(line,stra); |
| }/* end loop ntv */ |
}/* end loop ntv */ |
| |
|
| /* Statuses at wave */ |
/* Statuses at wave */ |
| cutv(stra, strb, line, ' '); |
cutv(stra, strb, line, ' '); |
| if(strb[0]=='.') { /* Missing value */ |
if(strb[0]=='.') { /* Missing value */ |
| lval=-1; |
lval=-1; |
| }else{ |
}else{ |
| errno=0; |
errno=0; |
| lval=strtol(strb,&endptr,10); |
lval=strtol(strb,&endptr,10); |
| /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ |
/* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ |
| if( strb[0]=='\0' || (*endptr != '\0')){ |
if( strb[0]=='\0' || (*endptr != '\0')){ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| } |
} |
| |
|
| s[j][i]=lval; |
s[j][i]=lval; |
| |
|
| /* Date of Interview */ |
/* Date of Interview */ |
| strcpy(line,stra); |
strcpy(line,stra); |
| cutv(stra, strb,line,' '); |
cutv(stra, strb,line,' '); |
| if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){ |
if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){ |
| } |
} |
| else if( (iout=sscanf(strb,"%s.",dummy)) != 0){ |
else if( (iout=sscanf(strb,"%s.",dummy)) != 0){ |
| month=99; |
month=99; |
| year=9999; |
year=9999; |
| }else{ |
}else{ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| anint[j][i]= (double) year; |
anint[j][i]= (double) year; |
| mint[j][i]= (double)month; |
mint[j][i]= (double)month; |
| strcpy(line,stra); |
strcpy(line,stra); |
| } /* End loop on waves */ |
} /* End loop on waves */ |
| |
|
| /* Date of death */ |
/* Date of death */ |
| cutv(stra, strb,line,' '); |
cutv(stra, strb,line,' '); |
| if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){ |
if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){ |
|
Line 7500 int readdata(char datafile[], int firsto
|
Line 7636 int readdata(char datafile[], int firsto
|
| year=9999; |
year=9999; |
| }else{ |
}else{ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| andc[i]=(double) year; |
andc[i]=(double) year; |
| moisdc[i]=(double) month; |
moisdc[i]=(double) month; |
|
Line 7517 int readdata(char datafile[], int firsto
|
Line 7653 int readdata(char datafile[], int firsto
|
| }else{ |
}else{ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| if (year==9999) { |
if (year==9999) { |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);fflush(ficlog); |
| return 1; |
return 1; |
| |
|
| } |
} |
| annais[i]=(double)(year); |
annais[i]=(double)(year); |
| moisnais[i]=(double)(month); |
moisnais[i]=(double)(month); |
| strcpy(line,stra); |
strcpy(line,stra); |
| |
|
| /* Sample weight */ |
/* Sample weight */ |
| cutv(stra, strb,line,' '); |
cutv(stra, strb,line,' '); |
| errno=0; |
errno=0; |
|
Line 7541 int readdata(char datafile[], int firsto
|
Line 7677 int readdata(char datafile[], int firsto
|
| } |
} |
| weight[i]=dval; |
weight[i]=dval; |
| strcpy(line,stra); |
strcpy(line,stra); |
| |
|
| for (iv=nqv;iv>=1;iv--){ /* Loop on fixed quantitative variables */ |
for (iv=nqv;iv>=1;iv--){ /* Loop on fixed quantitative variables */ |
| cutv(stra, strb, line, ' '); |
cutv(stra, strb, line, ' '); |
| if(strb[0]=='.') { /* Missing value */ |
if(strb[0]=='.') { /* Missing value */ |
| lval=-1; |
lval=-1; |
| }else{ |
}else{ |
| errno=0; |
errno=0; |
| /* what_kind_of_number(strb); */ |
/* what_kind_of_number(strb); */ |
| dval=strtod(strb,&endptr); |
dval=strtod(strb,&endptr); |
| /* if(strb != endptr && *endptr == '\0') */ |
/* if(strb != endptr && *endptr == '\0') */ |
| /* dval=dlval; */ |
/* dval=dlval; */ |
| /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN)) */ |
/* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN)) */ |
| if( strb[0]=='\0' || (*endptr != '\0')){ |
if( strb[0]=='\0' || (*endptr != '\0')){ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value (out of %d) constant for all waves. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqv, maxwav); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value (out of %d) constant for all waves. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqv, maxwav); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value (out of %d) constant for all waves. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqv, maxwav);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value (out of %d) constant for all waves. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqv, maxwav);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| coqvar[iv][i]=dval; |
coqvar[iv][i]=dval; |
| |
covar[ncovcol+iv][i]=dval; /* including qvar in standard covar for performance reasons */ |
| } |
} |
| strcpy(line,stra); |
strcpy(line,stra); |
| }/* end loop nqv */ |
}/* end loop nqv */ |
|
Line 7567 int readdata(char datafile[], int firsto
|
Line 7704 int readdata(char datafile[], int firsto
|
| for (j=ncovcol;j>=1;j--){ |
for (j=ncovcol;j>=1;j--){ |
| cutv(stra, strb,line,' '); |
cutv(stra, strb,line,' '); |
| if(strb[0]=='.') { /* Missing covariate value */ |
if(strb[0]=='.') { /* Missing covariate value */ |
| lval=-1; |
lval=-1; |
| }else{ |
}else{ |
| errno=0; |
errno=0; |
| lval=strtol(strb,&endptr,10); |
lval=strtol(strb,&endptr,10); |
| if( strb[0]=='\0' || (*endptr != '\0')){ |
if( strb[0]=='\0' || (*endptr != '\0')){ |
| printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line); |
printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line); |
| fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| } |
} |
| if(lval <-1 || lval >1){ |
if(lval <-1 || lval >1){ |
| printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
| Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
| for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
| For example, for multinomial values like 1, 2 and 3,\n \ |
For example, for multinomial values like 1, 2 and 3,\n \ |
| build V1=0 V2=0 for the reference value (1),\n \ |
build V1=0 V2=0 for the reference value (1),\n \ |
| V1=1 V2=0 for (2) \n \ |
V1=1 V2=0 for (2) \n \ |
| and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
| output of IMaCh is often meaningless.\n \ |
output of IMaCh is often meaningless.\n \ |
| Exiting.\n",lval,linei, i,line,j); |
Exiting.\n",lval,linei, i,line,j); |
| fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
| Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
| for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
| For example, for multinomial values like 1, 2 and 3,\n \ |
For example, for multinomial values like 1, 2 and 3,\n \ |
| build V1=0 V2=0 for the reference value (1),\n \ |
build V1=0 V2=0 for the reference value (1),\n \ |
| V1=1 V2=0 for (2) \n \ |
V1=1 V2=0 for (2) \n \ |
| and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
| output of IMaCh is often meaningless.\n \ |
output of IMaCh is often meaningless.\n \ |
| Exiting.\n",lval,linei, i,line,j);fflush(ficlog); |
Exiting.\n",lval,linei, i,line,j);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| covar[j][i]=(double)(lval); |
covar[j][i]=(double)(lval); |
| strcpy(line,stra); |
strcpy(line,stra); |
| } |
} |
| lstra=strlen(stra); |
lstra=strlen(stra); |
| |
|
| if(lstra > 9){ /* More than 2**32 or max of what printf can write with %ld */ |
if(lstra > 9){ /* More than 2**32 or max of what printf can write with %ld */ |
| stratrunc = &(stra[lstra-9]); |
stratrunc = &(stra[lstra-9]); |
| num[i]=atol(stratrunc); |
num[i]=atol(stratrunc); |
|
Line 7614 int readdata(char datafile[], int firsto
|
Line 7751 int readdata(char datafile[], int firsto
|
| |
|
| i=i+1; |
i=i+1; |
| } /* End loop reading data */ |
} /* End loop reading data */ |
| |
|
| *imax=i-1; /* Number of individuals */ |
*imax=i-1; /* Number of individuals */ |
| fclose(fic); |
fclose(fic); |
| |
|
| return (0); |
return (0); |
| /* endread: */ |
/* endread: */ |
| printf("Exiting readdata: "); |
printf("Exiting readdata: "); |
| fclose(fic); |
fclose(fic); |
| return (1); |
return (1); |
| } |
} |
| |
|
| void removespace(char *str) { |
void removespace(char *str) { |
|
Line 7650 int decodemodel ( char model[], int last
|
Line 7787 int decodemodel ( char model[], int last
|
| */ |
*/ |
| { |
{ |
| int i, j, k, ks; |
int i, j, k, ks; |
| int j1, k1, k2; |
int j1, k1, k2, k3, k4; |
| char modelsav[80]; |
char modelsav[80]; |
| char stra[80], strb[80], strc[80], strd[80],stre[80]; |
char stra[80], strb[80], strc[80], strd[80],stre[80]; |
| char *strpt; |
char *strpt; |
|
Line 7672 int decodemodel ( char model[], int last
|
Line 7809 int decodemodel ( char model[], int last
|
| if ((strpt=strstr(model,"age*age")) !=0){ |
if ((strpt=strstr(model,"age*age")) !=0){ |
| printf(" strpt=%s, model=%s\n",strpt, model); |
printf(" strpt=%s, model=%s\n",strpt, model); |
| if(strpt != model){ |
if(strpt != model){ |
| printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ |
printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ |
| 'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
| corresponding column of parameters.\n",model); |
corresponding column of parameters.\n",model); |
| fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ |
fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ |
| 'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
| corresponding column of parameters.\n",model); fflush(ficlog); |
corresponding column of parameters.\n",model); fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| |
|
| nagesqr=1; |
nagesqr=1; |
| if (strstr(model,"+age*age") !=0) |
if (strstr(model,"+age*age") !=0) |
| substrchaine(modelsav, model, "+age*age"); |
substrchaine(modelsav, model, "+age*age"); |
| else if (strstr(model,"age*age+") !=0) |
else if (strstr(model,"age*age+") !=0) |
| substrchaine(modelsav, model, "age*age+"); |
substrchaine(modelsav, model, "age*age+"); |
| else |
else |
| substrchaine(modelsav, model, "age*age"); |
substrchaine(modelsav, model, "age*age"); |
| }else |
}else |
| nagesqr=0; |
nagesqr=0; |
| if (strlen(modelsav) >1){ |
if (strlen(modelsav) >1){ |
|
Line 7695 int decodemodel ( char model[], int last
|
Line 7831 int decodemodel ( char model[], int last
|
| j1=nbocc(modelsav,'*'); /**< j1=Number of '*' */ |
j1=nbocc(modelsav,'*'); /**< j1=Number of '*' */ |
| cptcovs=j+1-j1; /**< Number of simple covariates V1+V1*age+V3 +V3*V4+age*age=> V1 + V3 =5-3=2 */ |
cptcovs=j+1-j1; /**< Number of simple covariates V1+V1*age+V3 +V3*V4+age*age=> V1 + V3 =5-3=2 */ |
| cptcovt= j+1; /* Number of total covariates in the model, not including |
cptcovt= j+1; /* Number of total covariates in the model, not including |
| * cst, age and age*age |
* cst, age and age*age |
| * V1+V1*age+ V3 + V3*V4+age*age=> 3+1=4*/ |
* V1+V1*age+ V3 + V3*V4+age*age=> 3+1=4*/ |
| /* including age products which are counted in cptcovage. |
/* including age products which are counted in cptcovage. |
| * but the covariates which are products must be treated |
* but the covariates which are products must be treated |
| * separately: ncovn=4- 2=2 (V1+V3). */ |
* separately: ncovn=4- 2=2 (V1+V3). */ |
| cptcovprod=j1; /**< Number of products V1*V2 +v3*age = 2 */ |
cptcovprod=j1; /**< Number of products V1*V2 +v3*age = 2 */ |
| cptcovprodnoage=0; /**< Number of covariate products without age: V3*V4 =1 */ |
cptcovprodnoage=0; /**< Number of covariate products without age: V3*V4 =1 */ |
| |
|
| |
|
| /* Design |
/* Design |
| * V1 V2 V3 V4 V5 V6 V7 V8 V9 Weight |
* V1 V2 V3 V4 V5 V6 V7 V8 V9 Weight |
| * < ncovcol=8 > |
* < ncovcol=8 > |
|
Line 7737 int decodemodel ( char model[], int last
|
Line 7873 int decodemodel ( char model[], int last
|
| * {2, 1, 4, 8, 5, 6, 3, 7} |
* {2, 1, 4, 8, 5, 6, 3, 7} |
| * Struct [] |
* Struct [] |
| */ |
*/ |
| |
|
| /* This loop fills the array Tvar from the string 'model'.*/ |
/* This loop fills the array Tvar from the string 'model'.*/ |
| /* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */ |
/* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */ |
| /* modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4 */ |
/* modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4 */ |
|
Line 7752 int decodemodel ( char model[], int last
|
Line 7888 int decodemodel ( char model[], int last
|
| /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k])]]*cov[2]; */ |
/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k])]]*cov[2]; */ |
| /* |
/* |
| * Treating invertedly V2+V1+V3*age+V2*V4 is as if written V2*V4 +V3*age + V1 + V2 */ |
* Treating invertedly V2+V1+V3*age+V2*V4 is as if written V2*V4 +V3*age + V1 + V2 */ |
| for(k=cptcovt; k>=1;k--) /**< Number of covariates */ |
for(k=cptcovt; k>=1;k--){ /**< Number of covariates not including constant and age, neither age*age*/ |
| Tvar[k]=0; |
Tvar[k]=0; Tprod[k]=0; Tposprod[k]=0; |
| |
} |
| cptcovage=0; |
cptcovage=0; |
| for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */ |
for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */ |
| cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+' |
cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+' |
| modelsav==V2+V1+V4+V3*age strb=V3*age stra=V2+V1+V4 */ |
modelsav==V2+V1+V4+V3*age strb=V3*age stra=V2+V1+V4 */ |
| if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */ |
if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */ |
| /* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/ |
/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/ |
| /*scanf("%d",i);*/ |
/*scanf("%d",i);*/ |
| if (strchr(strb,'*')) { /**< Model includes a product V2+V1+V4+V3*age strb=V3*age */ |
if (strchr(strb,'*')) { /**< Model includes a product V2+V1+V4+V3*age strb=V3*age */ |
| cutl(strc,strd,strb,'*'); /**< strd*strc Vm*Vn: strb=V3*age(input) strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */ |
cutl(strc,strd,strb,'*'); /**< strd*strc Vm*Vn: strb=V3*age(input) strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */ |
| if (strcmp(strc,"age")==0) { /**< Model includes age: Vn*age */ |
if (strcmp(strc,"age")==0) { /**< Model includes age: Vn*age */ |
| /* covar is not filled and then is empty */ |
/* covar is not filled and then is empty */ |
| cptcovprod--; |
cptcovprod--; |
| cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */ |
cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */ |
| Tvar[k]=atoi(stre); /* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1 */ |
Tvar[k]=atoi(stre); /* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1 */ |
| cptcovage++; /* Sums the number of covariates which include age as a product */ |
Typevar[k]=1; /* 1 for age product */ |
| Tage[cptcovage]=k; /* Tvar[4]=3, Tage[1] = 4 or V1+V1*age Tvar[2]=1, Tage[1]=2 */ |
cptcovage++; /* Sums the number of covariates which include age as a product */ |
| /*printf("stre=%s ", stre);*/ |
Tage[cptcovage]=k; /* Tvar[4]=3, Tage[1] = 4 or V1+V1*age Tvar[2]=1, Tage[1]=2 */ |
| } else if (strcmp(strd,"age")==0) { /* or age*Vn */ |
/*printf("stre=%s ", stre);*/ |
| cptcovprod--; |
} else if (strcmp(strd,"age")==0) { /* or age*Vn */ |
| cutl(stre,strb,strc,'V'); |
cptcovprod--; |
| Tvar[k]=atoi(stre); |
cutl(stre,strb,strc,'V'); |
| cptcovage++; |
Tvar[k]=atoi(stre); |
| Tage[cptcovage]=k; |
Typevar[k]=1; /* 1 for age product */ |
| } else { /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2 strb=V3*V2*/ |
cptcovage++; |
| /* loops on k1=1 (V3*V2) and k1=2 V4*V3 */ |
Tage[cptcovage]=k; |
| cptcovn++; |
} else { /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2 strb=V3*V2*/ |
| cptcovprodnoage++;k1++; |
/* loops on k1=1 (V3*V2) and k1=2 V4*V3 */ |
| cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ |
cptcovn++; |
| Tvar[k]=ncovcol+k1; /* For model-covariate k tells which data-covariate to use but |
cptcovprodnoage++;k1++; |
| because this model-covariate is a construction we invent a new column |
cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ |
| ncovcol + k1 |
Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* For model-covariate k tells which data-covariate to use but |
| If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2 |
because this model-covariate is a construction we invent a new column |
| Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */ |
which is after existing variables ncovcol+nqv+ntv+nqtv + k1 |
| cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ |
If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2 |
| Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 */ |
Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */ |
| Tvard[k1][1] =atoi(strc); /* m 1 for V1*/ |
Typevar[k]=2; /* 2 for double fixed dummy covariates */ |
| Tvard[k1][2] =atoi(stre); /* n 4 for V4*/ |
cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ |
| k2=k2+2; |
Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 */ |
| Tvar[cptcovt+k2]=Tvard[k1][1]; /* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) */ |
Tposprod[k]=k1; /* Tpsprod[3]=1, Tposprod[2]=5 */ |
| Tvar[cptcovt+k2+1]=Tvard[k1][2]; /* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) */ |
Tvard[k1][1] =atoi(strc); /* m 1 for V1*/ |
| for (i=1; i<=lastobs;i++){ |
Tvard[k1][2] =atoi(stre); /* n 4 for V4*/ |
| /* Computes the new covariate which is a product of |
k2=k2+2; /* k2 is initialize to -1, We want to store the n and m in Vn*Vm at the end of Tvar */ |
| covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */ |
/* Tvar[cptcovt+k2]=Tvard[k1][1]; /\* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) *\/ */ |
| covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i]; |
/* 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 */ |
| } /* End age is not in the model */ |
/* 1 2 3 4 5 | Tvar[5+1)=1, Tvar[7]=2 */ |
| } /* End if model includes a product */ |
for (i=1; i<=lastobs;i++){ |
| else { /* no more sum */ |
/* Computes the new covariate which is a product of |
| /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/ |
covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */ |
| /* scanf("%d",i);*/ |
covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i]; |
| cutl(strd,strc,strb,'V'); |
} |
| ks++; /**< Number of simple covariates */ |
} /* End age is not in the model */ |
| cptcovn++; |
} /* End if model includes a product */ |
| Tvar[k]=atoi(strd); |
else { /* no more sum */ |
| } |
/*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/ |
| strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */ |
/* scanf("%d",i);*/ |
| |
cutl(strd,strc,strb,'V'); |
| |
ks++; /**< Number of simple covariates dummy or quantitative, fixe or varying */ |
| |
cptcovn++; /** V4+V3+V5: V4 and V3 timevarying dummy covariates, V5 timevarying quantitative */ |
| |
Tvar[k]=atoi(strd); |
| |
Typevar[k]=0; /* 0 for simple covariates */ |
| |
} |
| |
strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */ |
| /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav); |
/*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav); |
| scanf("%d",i);*/ |
scanf("%d",i);*/ |
| } /* end of loop + on total covariates */ |
} /* end of loop + on total covariates */ |
| } /* end if strlen(modelsave == 0) age*age might exist */ |
} /* end if strlen(modelsave == 0) age*age might exist */ |
| } /* end if strlen(model == 0) */ |
} /* end if strlen(model == 0) */ |
| |
|
| /*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products. |
/*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products. |
| If model=V1+V1*age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0*/ |
If model=V1+V1*age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0*/ |
| |
|
| /* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]); |
/* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]); |
| printf("cptcovprod=%d ", cptcovprod); |
printf("cptcovprod=%d ", cptcovprod); |
| fprintf(ficlog,"cptcovprod=%d ", cptcovprod); |
fprintf(ficlog,"cptcovprod=%d ", cptcovprod); |
| |
scanf("%d ",i);*/ |
| scanf("%d ",i);*/ |
|
| /* Dispatching in quantitative and time varying covariates */ |
|
| |
/* Decodemodel knows only the grammar (simple, product, age*) of the model but not what kind |
| for(k=1, ncoveff=0, nqveff=0, ntveff=0, nqtveff=0;k<=cptcovn; k++){ /* or cptocvt */ |
of variable (dummy vs quantitative, fixed vs time varying) is behind */ |
| if (Tvar[k] <=ncovcol){ |
/* ncovcol= 1, nqv=1 | ntv=2, nqtv= 1 = 5 possible variables data: 2 fixed 3, varying |
| ncoveff++; |
model= V5 + V4 +V3 + V4*V3 + V5*age + V2 + V1*V2 + V1*age + V5*age, V1 is not used saving its place |
| }else if( Tvar[k] <=ncovcol+nqv){ |
k = 1 2 3 4 5 6 7 8 9 |
| nqveff++; |
Tvar[k]= 5 4 3 1+1+2+1+1=6 5 2 7 1 5 |
| }else if( Tvar[k] <=ncovcol+nqv+ntv){ |
Typevar[k]= 0 0 0 2 1 0 2 1 1 |
| ntveff++; |
Fixed[k] 1 1 1 1 3 0 0 or 2 2 3 |
| }else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv){ |
Dummy[k] 1 0 0 0 3 1 1 2 3 |
| nqtveff++; |
Tmodelind[combination of covar]=k; |
| }else |
*/ |
| printf("Error in effective covariates \n"); |
/* Dispatching between quantitative and time varying covariates */ |
| |
/* If Tvar[k] >ncovcol it is a product */ |
| |
/* Tvar[k] is the value n of Vn with n varying for 1 to nvcol, or p Vp=Vn*Vm for product */ |
| |
/* Computing effective variables, ie used by the model, that is from the cptcovt variables */ |
| |
printf("Model=%s\n\ |
| |
Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for 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); |
| |
fprintf(ficlog,"Model=%s\n\ |
| |
Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for 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); |
| |
|
| |
for(k=1, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0;k<=cptcovt; k++){ /* or cptocvt */ |
| |
if (Tvar[k] <=ncovcol && (Typevar[k]==0 || Typevar[k]==2)){ /* Simple or product fixed dummy covariatee */ |
| |
Fixed[k]= 0; |
| |
Dummy[k]= 0; |
| |
ncoveff++; |
| |
}else if( Tvar[k] <=ncovcol+nqv && Typevar[k]==0){ /* Remind that product Vn*Vm are added in k*/ |
| |
Fixed[k]= 0; |
| |
Dummy[k]= 1; |
| |
nqfveff++; /* Only simple fixed quantitative variable */ |
| |
}else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 0; |
| |
ntveff++; /* Only simple time varying dummy variable */ |
| |
}else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv && Typevar[k]==0){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
nqtveff++;/* Only simple time varying quantitative variable */ |
| |
}else if (Typevar[k] == 1) { /* product with age */ |
| |
if (Tvar[k] <=ncovcol ){ /* Simple or product fixed dummy covariatee */ |
| |
Fixed[k]= 2; |
| |
Dummy[k]= 2; |
| |
/* ncoveff++; */ |
| |
}else if( Tvar[k] <=ncovcol+nqv) { /* Remind that product Vn*Vm are added in k*/ |
| |
Fixed[k]= 2; |
| |
Dummy[k]= 3; |
| |
/* nqfveff++; /\* Only simple fixed quantitative variable *\/ */ |
| |
}else if( Tvar[k] <=ncovcol+nqv+ntv ){ |
| |
Fixed[k]= 3; |
| |
Dummy[k]= 2; |
| |
/* ntveff++; /\* Only simple time varying dummy variable *\/ */ |
| |
}else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv){ |
| |
Fixed[k]= 3; |
| |
Dummy[k]= 3; |
| |
/* nqtveff++;/\* Only simple time varying quantitative variable *\/ */ |
| |
} |
| |
}else if (Typevar[k] == 2) { /* product without age */ |
| |
k1=Tposprod[k]; |
| |
if(Tvard[k1][1] <=ncovcol){ |
| |
if(Tvard[k1][2] <=ncovcol){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 0; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
| |
Fixed[k]= 0; /* or 2 ?*/ |
| |
Dummy[k]= 1; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 0; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
} |
| |
}else if(Tvard[k1][1] <=ncovcol+nqv){ |
| |
if(Tvard[k1][2] <=ncovcol){ |
| |
Fixed[k]= 0; /* or 2 ?*/ |
| |
Dummy[k]= 1; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
| |
Fixed[k]= 0; /* or 2 ?*/ |
| |
Dummy[k]= 1; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
} |
| |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv){ |
| |
if(Tvard[k1][2] <=ncovcol){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 0; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
} |
| |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){ |
| |
if(Tvard[k1][2] <=ncovcol){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
} |
| |
}else{ |
| |
printf("Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
| |
fprintf(ficlog,"Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
| |
} /* end k1 */ |
| |
}else{ |
| |
printf("Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
| |
fprintf(ficlog,"Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
| |
} |
| |
printf("Decodemodel, k=%d, Tvar[%d]=V%d,Typevar=%d, Fixed=%d, Dummy=%d\n",k, k,Tvar[k],Typevar[k],Fixed[k],Dummy[k]); |
| |
fprintf(ficlog,"Decodemodel, k=%d, Tvar[%d]=V%d,Typevar=%d, Fixed=%d, Dummy=%d\n",k, k,Tvar[k],Typevar[k],Fixed[k],Dummy[k]); |
| |
} |
| |
/* Searching for doublons in the model */ |
| |
for(k1=1; k1<= cptcovt;k1++){ |
| |
for(k2=1; k2 <k1;k2++){ |
| |
if((Typevar[k1]==Typevar[k2]) && (Fixed[Tvar[k1]]==Fixed[Tvar[k2]]) && (Dummy[Tvar[k1]]==Dummy[Tvar[k2]] )){ |
| |
if((Typevar[k1] == 0 || Typevar[k1] == 1)){ /* Simple or age product */ |
| |
if(Tvar[k1]==Tvar[k2]){ |
| |
printf("Error duplication in the model=%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); |
| |
fprintf(ficlog,"Error duplication in the model=%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog); |
| |
return(1); |
| |
} |
| |
}else if (Typevar[k1] ==2){ |
| |
k3=Tposprod[k1]; |
| |
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])) ){ |
| |
printf("Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); |
| |
fprintf(ficlog,"Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog); |
| |
return(1); |
| |
} |
| } |
} |
| |
} |
| |
} |
| |
} |
| |
printf("ncoveff=%d, nqfveff=%d, ntveff=%d, nqtveff=%d, cptcovn=%d\n",ncoveff,nqfveff,ntveff,nqtveff,cptcovn); |
| |
fprintf(ficlog,"ncoveff=%d, nqfveff=%d, ntveff=%d, nqtveff=%d, cptcovn=%d\n",ncoveff,nqfveff,ntveff,nqtveff,cptcovn); |
| return (0); /* with covar[new additional covariate if product] and Tage if age */ |
return (0); /* with covar[new additional covariate if product] and Tage if age */ |
| /*endread:*/ |
/*endread:*/ |
| printf("Exiting decodemodel: "); |
printf("Exiting decodemodel: "); |
| return (1); |
return (1); |
| } |
} |
| |
|
| int calandcheckages(int imx, int maxwav, double *agemin, double *agemax, int *nberr, int *nbwarn ) |
int calandcheckages(int imx, int maxwav, double *agemin, double *agemax, int *nberr, int *nbwarn ) |
|
Line 8164 int prevalence_limit(double *p, double *
|
Line 8446 int prevalence_limit(double *p, double *
|
| printf("Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1; |
printf("Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1; |
| fprintf(ficlog,"Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1; |
fprintf(ficlog,"Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1; |
| } |
} |
| printf("Computing period (stable) prevalence: result on file '%s' \n", filerespl); |
printf("\nComputing period (stable) prevalence: result on file '%s' \n", filerespl); |
| fprintf(ficlog,"Computing period (stable) prevalence: result on file '%s' \n", filerespl); |
fprintf(ficlog,"\nComputing period (stable) prevalence: result on file '%s' \n", filerespl); |
| pstamp(ficrespl); |
pstamp(ficrespl); |
| fprintf(ficrespl,"# Period (stable) prevalence. Precision given by ftolpl=%g \n", ftolpl); |
fprintf(ficrespl,"# Period (stable) prevalence. Precision given by ftolpl=%g \n", ftolpl); |
| fprintf(ficrespl,"#Age "); |
fprintf(ficrespl,"#Age "); |
|
Line 8177 int prevalence_limit(double *p, double *
|
Line 8459 int prevalence_limit(double *p, double *
|
| agebase=ageminpar; |
agebase=ageminpar; |
| agelim=agemaxpar; |
agelim=agemaxpar; |
| |
|
| i1=pow(2,ncoveff); |
/* i1=pow(2,ncoveff); */ |
| |
i1=pow(2,cptcoveff); /* Number of dummy covariates */ |
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| for(k=1; k<=i1;k++){ |
for(k=1; k<=i1;k++){ |
|
Line 8190 int prevalence_limit(double *p, double *
|
Line 8473 int prevalence_limit(double *p, double *
|
| fprintf(ficrespl,"#******"); |
fprintf(ficrespl,"#******"); |
| printf("#******"); |
printf("#******"); |
| fprintf(ficlog,"#******"); |
fprintf(ficlog,"#******"); |
| for(j=1;j<=nqveff;j++) { |
for(j=1;j<=cptcoveff ;j++) {/* all covariates */ |
| fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); /* Here problem for varying dummy*/ |
| printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| } |
} |
| fprintf(ficrespl,"******\n"); |
fprintf(ficrespl,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
| fprintf(ficlog,"******\n"); |
fprintf(ficlog,"******\n"); |
| if(invalidvarcomb[k]){ |
if(invalidvarcomb[k]){ |
| printf("\nCombination (%d) ignored because no cases \n",k); |
printf("\nCombination (%d) ignored because no case \n",k); |
| fprintf(ficrespl,"#Combination (%d) ignored because no cases \n",k); |
fprintf(ficrespl,"#Combination (%d) ignored because no case \n",k); |
| fprintf(ficlog,"\nCombination (%d) ignored because no cases \n",k); |
fprintf(ficlog,"\nCombination (%d) ignored because no case \n",k); |
| continue; |
continue; |
| } |
} |
| |
|
| fprintf(ficrespl,"#Age "); |
fprintf(ficrespl,"#Age "); |
| for(j=1;j<=nqveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| } |
} |
| for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); |
for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); |
| fprintf(ficrespl,"Total Years_to_converge\n"); |
fprintf(ficrespl,"Total Years_to_converge\n"); |
| |
|
| for (age=agebase; age<=agelim; age++){ |
for (age=agebase; age<=agelim; age++){ |
| /* for (age=agebase; age<=agebase; age++){ */ |
/* for (age=agebase; age<=agebase; age++){ */ |
| prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k); |
prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k); |
| fprintf(ficrespl,"%.0f ",age ); |
fprintf(ficrespl,"%.0f ",age ); |
| for(j=1;j<=nqveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| tot=0.; |
tot=0.; |
| for(i=1; i<=nlstate;i++){ |
for(i=1; i<=nlstate;i++){ |
| tot += prlim[i][i]; |
tot += prlim[i][i]; |
| fprintf(ficrespl," %.5f", prlim[i][i]); |
fprintf(ficrespl," %.5f", prlim[i][i]); |
| } |
} |
| fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp); |
fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp); |
| } /* Age */ |
} /* Age */ |
|
Line 8264 int back_prevalence_limit(double *p, dou
|
Line 8547 int back_prevalence_limit(double *p, dou
|
| agelim=agemaxpar; |
agelim=agemaxpar; |
| |
|
| |
|
| i1=pow(2,nqveff); |
i1=pow(2,cptcoveff); |
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| for(k=1; k<=i1;k++){ |
for(k=1; k<=i1;k++){ |
| /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
|
| /* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ |
|
| //for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ |
|
| /* k=k+1; */ |
|
| /* to clean */ |
|
| //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); |
//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<=nqveff;j++) { |
for(j=1;j<=cptcoveff ;j++) {/* all covariates */ |
| fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
|
Line 8285 int back_prevalence_limit(double *p, dou
|
Line 8563 int back_prevalence_limit(double *p, dou
|
| fprintf(ficresplb,"******\n"); |
fprintf(ficresplb,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
| fprintf(ficlog,"******\n"); |
fprintf(ficlog,"******\n"); |
| if(invalidvarcomb[k]){ |
if(invalidvarcomb[k]){ |
| printf("\nCombination (%d) ignored because no cases \n",k); |
printf("\nCombination (%d) ignored because no cases \n",k); |
| fprintf(ficresplb,"#Combination (%d) ignored because no cases \n",k); |
fprintf(ficresplb,"#Combination (%d) ignored because no cases \n",k); |
| fprintf(ficlog,"\nCombination (%d) ignored because no cases \n",k); |
fprintf(ficlog,"\nCombination (%d) ignored because no cases \n",k); |
| continue; |
continue; |
| } |
} |
| |
|
| fprintf(ficresplb,"#Age "); |
fprintf(ficresplb,"#Age "); |
| for(j=1;j<=nqveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| } |
} |
| for(i=1; i<=nlstate;i++) fprintf(ficresplb," %d-%d ",i,i); |
for(i=1; i<=nlstate;i++) fprintf(ficresplb," %d-%d ",i,i); |
|
Line 8305 int back_prevalence_limit(double *p, dou
|
Line 8583 int back_prevalence_limit(double *p, dou
|
| if(mobilavproj > 0){ |
if(mobilavproj > 0){ |
| /* bprevalim(bprlim, mobaverage, nlstate, p, age, ageminpar, agemaxpar, oldm, savm, doldm, dsavm, ftolpl, ncvyearp, k); */ |
/* bprevalim(bprlim, mobaverage, nlstate, p, age, ageminpar, agemaxpar, oldm, savm, doldm, dsavm, ftolpl, ncvyearp, k); */ |
| /* bprevalim(bprlim, mobaverage, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ |
/* bprevalim(bprlim, mobaverage, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ |
| bprevalim(bprlim, mobaverage, nlstate, p, age, ftolpl, ncvyearp, k); |
bprevalim(bprlim, mobaverage, nlstate, p, age, ftolpl, ncvyearp, k); |
| }else if (mobilavproj == 0){ |
}else if (mobilavproj == 0){ |
| printf("There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); |
printf("There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); |
| fprintf(ficlog,"There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); |
fprintf(ficlog,"There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); |
| exit(1); |
exit(1); |
| }else{ |
}else{ |
| /* bprevalim(bprlim, probs, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ |
/* bprevalim(bprlim, probs, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ |
| bprevalim(bprlim, probs, nlstate, p, age, ftolpl, ncvyearp, k); |
bprevalim(bprlim, probs, nlstate, p, age, ftolpl, ncvyearp, k); |
| } |
} |
| fprintf(ficresplb,"%.0f ",age ); |
fprintf(ficresplb,"%.0f ",age ); |
| for(j=1;j<=nqveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| tot=0.; |
tot=0.; |
| for(i=1; i<=nlstate;i++){ |
for(i=1; i<=nlstate;i++){ |
| tot += bprlim[i][i]; |
tot += bprlim[i][i]; |
| fprintf(ficresplb," %.5f", bprlim[i][i]); |
fprintf(ficresplb," %.5f", bprlim[i][i]); |
| } |
} |
| fprintf(ficresplb," %.3f %d\n", tot, *ncvyearp); |
fprintf(ficresplb," %.3f %d\n", tot, *ncvyearp); |
| } /* Age */ |
} /* Age */ |
|
Line 8363 int hPijx(double *p, int bage, int fage)
|
Line 8641 int hPijx(double *p, int bage, int fage)
|
| /* hstepm=1; aff par mois*/ |
/* hstepm=1; aff par mois*/ |
| pstamp(ficrespij); |
pstamp(ficrespij); |
| fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x "); |
fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x "); |
| i1= pow(2,nqveff); |
i1= pow(2,cptcoveff); |
| /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
| /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
/* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
| /* k=k+1; */ |
/* k=k+1; */ |
| for (k=1; k <= (int) pow(2,nqveff); k++){ |
for (k=1; k <= (int) pow(2,cptcoveff); k++){ |
| fprintf(ficrespij,"\n#****** "); |
fprintf(ficrespij,"\n#****** "); |
| for(j=1;j<=nqveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficrespij,"******\n"); |
fprintf(ficrespij,"******\n"); |
| |
|
|
Line 8435 int hPijx(double *p, int bage, int fage)
|
Line 8713 int hPijx(double *p, int bage, int fage)
|
| /* hstepm=1; aff par mois*/ |
/* hstepm=1; aff par mois*/ |
| pstamp(ficrespijb); |
pstamp(ficrespijb); |
| fprintf(ficrespijb,"#****** h Pij x Back Probability to be in state i at age x-h being in j at x "); |
fprintf(ficrespijb,"#****** h Pij x Back Probability to be in state i at age x-h being in j at x "); |
| i1= pow(2,nqveff); |
i1= pow(2,cptcoveff); |
| /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
| /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
/* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
| /* k=k+1; */ |
/* k=k+1; */ |
| for (k=1; k <= (int) pow(2,nqveff); k++){ |
for (k=1; k <= (int) pow(2,cptcoveff); k++){ |
| fprintf(ficrespijb,"\n#****** "); |
fprintf(ficrespijb,"\n#****** "); |
| for(j=1;j<=nqveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficrespijb,"******\n"); |
fprintf(ficrespijb,"******\n"); |
| if(invalidvarcomb[k]){ |
if(invalidvarcomb[k]){ |
|
Line 8836 int main(int argc, char *argv[])
|
Line 9114 int main(int argc, char *argv[])
|
| |
|
| |
|
| covar=matrix(0,NCOVMAX,1,n); /**< used in readdata */ |
covar=matrix(0,NCOVMAX,1,n); /**< used in readdata */ |
| coqvar=matrix(1,nqv,1,n); /**< used in readdata */ |
coqvar=matrix(1,nqv,1,n); /**< Fixed quantitative covariate */ |
| cotvar=ma3x(1,maxwav,1,ntv,1,n); /**< used in readdata */ |
cotvar=ma3x(1,maxwav,1,ntv,1,n); /**< Time varying covariate */ |
| cotqvar=ma3x(1,maxwav,1,nqtv,1,n); /**< used in readdata */ |
cotqvar=ma3x(1,maxwav,1,nqtv,1,n); /**< Time varying quantitative covariate */ |
| cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn*/ |
cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn*/ |
| /* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5 |
/* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5 |
| v1+v2*age+v2*v3 makes cptcovn = 3 |
v1+v2*age+v2*v3 makes cptcovn = 3 |
|
Line 8988 run imach with mle=-1 to get a correct t
|
Line 9266 run imach with mle=-1 to get a correct t
|
| |
|
| /* Scans npar lines */ |
/* Scans npar lines */ |
| for(i=1; i <=npar; i++){ |
for(i=1; i <=npar; i++){ |
| count=fscanf(ficpar,"%1d%1d%1d",&i1,&j1,&jk); |
count=fscanf(ficpar,"%1d%1d%d",&i1,&j1,&jk); |
| if(count != 3){ |
if(count != 3){ |
| printf("Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\ |
printf("Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\ |
| This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\ |
This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\ |
| Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model); |
Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model); |
| fprintf(ficlog,"Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\ |
fprintf(ficlog,"Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\ |
| This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\ |
This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\ |
| Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model); |
Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model); |
| exit(1); |
exit(1); |
| }else{ |
}else{ |
| if(mle==1) |
if(mle==1) |
| printf("%1d%1d%1d",i1,j1,jk); |
printf("%1d%1d%d",i1,j1,jk); |
| } |
} |
| fprintf(ficlog,"%1d%1d%1d",i1,j1,jk); |
fprintf(ficlog,"%1d%1d%d",i1,j1,jk); |
| fprintf(ficparo,"%1d%1d%1d",i1,j1,jk); |
fprintf(ficparo,"%1d%1d%d",i1,j1,jk); |
| for(j=1; j <=i; j++){ |
for(j=1; j <=i; j++){ |
| fscanf(ficpar," %le",&matcov[i][j]); |
fscanf(ficpar," %le",&matcov[i][j]); |
| if(mle==1){ |
if(mle==1){ |
| printf(" %.5le",matcov[i][j]); |
printf(" %.5le",matcov[i][j]); |
| } |
} |
| fprintf(ficlog," %.5le",matcov[i][j]); |
fprintf(ficlog," %.5le",matcov[i][j]); |
| fprintf(ficparo," %.5le",matcov[i][j]); |
fprintf(ficparo," %.5le",matcov[i][j]); |
| } |
} |
| fscanf(ficpar,"\n"); |
fscanf(ficpar,"\n"); |
| numlinepar++; |
numlinepar++; |
|
Line 9021 Please run with mle=-1 to get a correct
|
Line 9299 Please run with mle=-1 to get a correct
|
| /* End of read covariance matrix npar lines */ |
/* End of read covariance matrix npar lines */ |
| for(i=1; i <=npar; i++) |
for(i=1; i <=npar; i++) |
| for(j=i+1;j<=npar;j++) |
for(j=i+1;j<=npar;j++) |
| matcov[i][j]=matcov[j][i]; |
matcov[i][j]=matcov[j][i]; |
| |
|
| if(mle==1) |
if(mle==1) |
| printf("\n"); |
printf("\n"); |
|
Line 9081 Please run with mle=-1 to get a correct
|
Line 9359 Please run with mle=-1 to get a correct
|
| k=1 Tvar[1]=2 (from V2) |
k=1 Tvar[1]=2 (from V2) |
| */ |
*/ |
| Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */ |
Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */ |
| |
Typevar=ivector(-1,NCOVMAX); /* -1 to 2 */ |
| |
Fixed=ivector(-1,NCOVMAX); /* -1 to 3 */ |
| |
Dummy=ivector(-1,NCOVMAX); /* -1 to 3 */ |
| /* V2+V1+V4+age*V3 is a model with 4 covariates (3 plus signs). |
/* V2+V1+V4+age*V3 is a model with 4 covariates (3 plus signs). |
| For each model-covariate stores the data-covariate id. Tvar[1]=2, Tvar[2]=1, Tvar[3]=4, |
For each model-covariate stores the data-covariate id. Tvar[1]=2, Tvar[2]=1, Tvar[3]=4, |
| Tvar[4=age*V3] is 3 and 'age' is recorded in Tage. |
Tvar[4=age*V3] is 3 and 'age' is recorded in Tage. |
|
Line 9090 Please run with mle=-1 to get a correct
|
Line 9371 Please run with mle=-1 to get a correct
|
| ncovcol + k1 |
ncovcol + k1 |
| If already ncovcol=4 and model=V2+V1+V1*V4+age*V3 |
If already ncovcol=4 and model=V2+V1+V1*V4+age*V3 |
| Tvar[3=V1*V4]=4+1 etc */ |
Tvar[3=V1*V4]=4+1 etc */ |
| Tprod=ivector(1,NCOVMAX); /* Gives the position of a product */ |
Tprod=ivector(1,NCOVMAX); /* Gives the k position of the k1 product */ |
| |
Tposprod=ivector(1,NCOVMAX); /* Gives the k1 product from the k position */ |
| /* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3 |
/* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3 |
| if V2+V1+V1*V4+age*V3+V3*V2 TProd[k1=2]=5 (V3*V2) |
if V2+V1+V1*V4+age*V3+V3*V2 TProd[k1=2]=5 (V3*V2) |
| |
Tposprod[k]=k1 , Tposprod[3]=1, Tposprod[5]=2 |
| */ |
*/ |
| Tvaraff=ivector(1,NCOVMAX); /* Unclear */ |
Tvaraff=ivector(1,NCOVMAX); /* Unclear */ |
| Tvard=imatrix(1,NCOVMAX,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm |
Tvard=imatrix(1,NCOVMAX,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm |
|
Line 9102 Please run with mle=-1 to get a correct
|
Line 9385 Please run with mle=-1 to get a correct
|
| 4 covariates (3 plus signs) |
4 covariates (3 plus signs) |
| Tage[1=V3*age]= 4; Tage[2=age*V4] = 3 |
Tage[1=V3*age]= 4; Tage[2=age*V4] = 3 |
| */ |
*/ |
| |
Tmodelind=ivector(1,NCOVMAX);/** five the k model position of an |
| |
* individual dummy, fixed or varying: |
| |
* Tmodelind[Tvaraff[3]]=9,Tvaraff[1]@9={4, |
| |
* 3, 1, 0, 0, 0, 0, 0, 0}, |
| |
* model=V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1*/ |
| /* Main decodemodel */ |
/* Main decodemodel */ |
| |
|
| |
|
|
Line 9161 Please run with mle=-1 to get a correct
|
Line 9448 Please run with mle=-1 to get a correct
|
| nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); |
nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); |
| ncodemax[1]=1; |
ncodemax[1]=1; |
| Ndum =ivector(-1,NCOVMAX); |
Ndum =ivector(-1,NCOVMAX); |
| cptcoveff=0; |
cptcoveff=0; |
| if (ncovmodel-nagesqr > 2 ){ /* That is if covariate other than cst, age and age*age */ |
if (ncovmodel-nagesqr > 2 ){ /* That is if covariate other than cst, age and age*age */ |
| tricode(&cptcoveff,Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */ |
tricode(&cptcoveff,Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */ |
| } |
} |
| |
|
| ncovcombmax=pow(2,cptcoveff); |
ncovcombmax=pow(2,cptcoveff); |
| invalidvarcomb=ivector(1, ncovcombmax); |
invalidvarcomb=ivector(1, ncovcombmax); |
| for(i=1;i<ncovcombmax;i++) |
for(i=1;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 |
| V2+V1*age, there are 3 covariates Tvar[2]=1 (V1).*/ |
V2+V1*age, there are 3 covariates Tvar[2]=1 (V1).*/ |
| /* 1 to ncodemax[j] which is the maximum value of this jth covariate */ |
/* 1 to ncodemax[j] which is the maximum value of this jth covariate */ |
| |
|
| /* codtab=imatrix(1,100,1,10);*/ /* codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) */ |
/* codtab=imatrix(1,100,1,10);*/ /* codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) */ |
| /*printf(" codtab[1,1],codtab[100,10]=%d,%d\n", codtab[1][1],codtabm(100,10));*/ |
/*printf(" codtab[1,1],codtab[100,10]=%d,%d\n", codtab[1][1],codtabm(100,10));*/ |
| /* codtab gives the value 1 or 2 of the hth combination of k covariates (1 or 2).*/ |
/* codtab gives the value 1 or 2 of the hth combination of k covariates (1 or 2).*/ |
|
Line 9333 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 9620 Title=%s <br>Datafile=%s Firstpass=%d La
|
| /* Calculates basic frequencies. Computes observed prevalence at single age |
/* Calculates basic frequencies. Computes observed prevalence at single age |
| and for any valid combination of covariates |
and for any valid combination of covariates |
| and prints on file fileres'p'. */ |
and prints on file fileres'p'. */ |
| freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx, Tvaraff, invalidvarcomb, nbcode, ncodemax,mint,anint,strstart, \ |
freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx, Tvaraff, invalidvarcomb, nbcode, ncodemax,mint,anint,strstart, \ |
| firstpass, lastpass, stepm, weightopt, model); |
firstpass, lastpass, stepm, weightopt, model); |
| |
|
| fprintf(fichtm,"\n"); |
fprintf(fichtm,"\n"); |
| fprintf(fichtm,"<br>Total number of observations=%d <br>\n\ |
fprintf(fichtm,"<br>Total number of observations=%d <br>\n\ |
|
Line 9367 Interval (in months) between two waves:
|
Line 9654 Interval (in months) between two waves:
|
| for (i=1; i<=imx; i++){ |
for (i=1; i<=imx; i++){ |
| dcwave[i]=-1; |
dcwave[i]=-1; |
| for (m=firstpass; m<=lastpass; m++) |
for (m=firstpass; m<=lastpass; m++) |
| if (s[m][i]>nlstate) { |
if (s[m][i]>nlstate) { |
| dcwave[i]=m; |
dcwave[i]=m; |
| /* printf("i=%d j=%d s=%d dcwave=%d\n",i,j, s[j][i],dcwave[i]);*/ |
/* printf("i=%d j=%d s=%d dcwave=%d\n",i,j, s[j][i],dcwave[i]);*/ |
| break; |
break; |
| } |
} |
| } |
} |
| |
|
| for (i=1; i<=imx; i++) { |
for (i=1; i<=imx; i++) { |
| if (wav[i]>0){ |
if (wav[i]>0){ |
| ageexmed[i]=agev[mw[1][i]][i]; |
ageexmed[i]=agev[mw[1][i]][i]; |
| j=wav[i]; |
j=wav[i]; |
| agecens[i]=1.; |
agecens[i]=1.; |
| |
|
| if (ageexmed[i]> 1 && wav[i] > 0){ |
if (ageexmed[i]> 1 && wav[i] > 0){ |
| agecens[i]=agev[mw[j][i]][i]; |
agecens[i]=agev[mw[j][i]][i]; |
| cens[i]= 1; |
cens[i]= 1; |
| }else if (ageexmed[i]< 1) |
}else if (ageexmed[i]< 1) |
| cens[i]= -1; |
cens[i]= -1; |
| if (agedc[i]< AGESUP && agedc[i]>1 && dcwave[i]>firstpass && dcwave[i]<=lastpass) |
if (agedc[i]< AGESUP && agedc[i]>1 && dcwave[i]>firstpass && dcwave[i]<=lastpass) |
| cens[i]=0 ; |
cens[i]=0 ; |
| } |
} |
| else cens[i]=-1; |
else cens[i]=-1; |
| } |
} |
| |
|
| for (i=1;i<=NDIM;i++) { |
for (i=1;i<=NDIM;i++) { |
| for (j=1;j<=NDIM;j++) |
for (j=1;j<=NDIM;j++) |
| ximort[i][j]=(i == j ? 1.0 : 0.0); |
ximort[i][j]=(i == j ? 1.0 : 0.0); |
| } |
} |
| |
|
| /*p[1]=0.0268; p[NDIM]=0.083;*/ |
/*p[1]=0.0268; p[NDIM]=0.083;*/ |
|
Line 9616 Please run with mle=-1 to get a correct
|
Line 9903 Please run with mle=-1 to get a correct
|
| fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); |
fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); |
| for(i=1,jk=1; i <=nlstate; i++){ |
for(i=1,jk=1; i <=nlstate; i++){ |
| for(k=1; k <=(nlstate+ndeath); k++){ |
for(k=1; k <=(nlstate+ndeath); k++){ |
| if (k != i) { |
if (k != i) { |
| printf("%d%d ",i,k); |
printf("%d%d ",i,k); |
| fprintf(ficlog,"%d%d ",i,k); |
fprintf(ficlog,"%d%d ",i,k); |
| fprintf(ficres,"%1d%1d ",i,k); |
fprintf(ficres,"%1d%1d ",i,k); |
| for(j=1; j <=ncovmodel; j++){ |
for(j=1; j <=ncovmodel; j++){ |
| printf("%12.7f ",p[jk]); |
printf("%12.7f ",p[jk]); |
| fprintf(ficlog,"%12.7f ",p[jk]); |
fprintf(ficlog,"%12.7f ",p[jk]); |
| fprintf(ficres,"%12.7f ",p[jk]); |
fprintf(ficres,"%12.7f ",p[jk]); |
| jk++; |
jk++; |
| } |
} |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| fprintf(ficres,"\n"); |
fprintf(ficres,"\n"); |
| } |
} |
| } |
} |
| } |
} |
| if(mle != 0){ |
if(mle != 0){ |
|
Line 9639 Please run with mle=-1 to get a correct
|
Line 9926 Please run with mle=-1 to get a correct
|
| printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
| fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
| for(i=1,jk=1; i <=nlstate; i++){ |
for(i=1,jk=1; i <=nlstate; i++){ |
| for(k=1; k <=(nlstate+ndeath); k++){ |
for(k=1; k <=(nlstate+ndeath); k++){ |
| if (k != i) { |
if (k != i) { |
| printf("%d%d ",i,k); |
printf("%d%d ",i,k); |
| fprintf(ficlog,"%d%d ",i,k); |
fprintf(ficlog,"%d%d ",i,k); |
| for(j=1; j <=ncovmodel; j++){ |
for(j=1; j <=ncovmodel; j++){ |
| printf("%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
printf("%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
| fprintf(ficlog,"%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
fprintf(ficlog,"%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
| jk++; |
jk++; |
| } |
} |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| } |
} |
| } |
} |
| } |
} |
| } /* end of hesscov and Wald tests */ |
} /* end of hesscov and Wald tests */ |
| |
|
| /* */ |
/* */ |
| fprintf(ficres,"# Scales (for hessian or gradient estimation)\n"); |
fprintf(ficres,"# Scales (for hessian or gradient estimation)\n"); |
| printf("# Scales (for hessian or gradient estimation)\n"); |
printf("# Scales (for hessian or gradient estimation)\n"); |
| fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n"); |
fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n"); |
| for(i=1,jk=1; i <=nlstate; i++){ |
for(i=1,jk=1; i <=nlstate; i++){ |
| for(j=1; j <=nlstate+ndeath; j++){ |
for(j=1; j <=nlstate+ndeath; j++){ |
| if (j!=i) { |
if (j!=i) { |
| fprintf(ficres,"%1d%1d",i,j); |
fprintf(ficres,"%1d%1d",i,j); |
| printf("%1d%1d",i,j); |
printf("%1d%1d",i,j); |
| fprintf(ficlog,"%1d%1d",i,j); |
fprintf(ficlog,"%1d%1d",i,j); |
| for(k=1; k<=ncovmodel;k++){ |
for(k=1; k<=ncovmodel;k++){ |
| printf(" %.5e",delti[jk]); |
printf(" %.5e",delti[jk]); |
| fprintf(ficlog," %.5e",delti[jk]); |
fprintf(ficlog," %.5e",delti[jk]); |
| fprintf(ficres," %.5e",delti[jk]); |
fprintf(ficres," %.5e",delti[jk]); |
| jk++; |
jk++; |
| } |
} |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| fprintf(ficres,"\n"); |
fprintf(ficres,"\n"); |
| } |
} |
| } |
} |
| } |
} |
| |
|
|
Line 9698 Please run with mle=-1 to get a correct
|
Line 9985 Please run with mle=-1 to get a correct
|
| for(itimes=1;itimes<=2;itimes++){ |
for(itimes=1;itimes<=2;itimes++){ |
| jj=0; |
jj=0; |
| for(i=1; i <=nlstate; i++){ |
for(i=1; i <=nlstate; i++){ |
| for(j=1; j <=nlstate+ndeath; j++){ |
for(j=1; j <=nlstate+ndeath; j++){ |
| if(j==i) continue; |
if(j==i) continue; |
| for(k=1; k<=ncovmodel;k++){ |
for(k=1; k<=ncovmodel;k++){ |
| jj++; |
jj++; |
| ca[0]= k+'a'-1;ca[1]='\0'; |
ca[0]= k+'a'-1;ca[1]='\0'; |
| if(itimes==1){ |
if(itimes==1){ |
| if(mle>=1) |
if(mle>=1) |
| printf("#%1d%1d%d",i,j,k); |
printf("#%1d%1d%d",i,j,k); |
| fprintf(ficlog,"#%1d%1d%d",i,j,k); |
fprintf(ficlog,"#%1d%1d%d",i,j,k); |
| fprintf(ficres,"#%1d%1d%d",i,j,k); |
fprintf(ficres,"#%1d%1d%d",i,j,k); |
| }else{ |
}else{ |
| if(mle>=1) |
if(mle>=1) |
| printf("%1d%1d%d",i,j,k); |
printf("%1d%1d%d",i,j,k); |
| fprintf(ficlog,"%1d%1d%d",i,j,k); |
fprintf(ficlog,"%1d%1d%d",i,j,k); |
| fprintf(ficres,"%1d%1d%d",i,j,k); |
fprintf(ficres,"%1d%1d%d",i,j,k); |
| } |
} |
| ll=0; |
ll=0; |
| for(li=1;li <=nlstate; li++){ |
for(li=1;li <=nlstate; li++){ |
| for(lj=1;lj <=nlstate+ndeath; lj++){ |
for(lj=1;lj <=nlstate+ndeath; lj++){ |
| if(lj==li) continue; |
if(lj==li) continue; |
| for(lk=1;lk<=ncovmodel;lk++){ |
for(lk=1;lk<=ncovmodel;lk++){ |
| ll++; |
ll++; |
| if(ll<=jj){ |
if(ll<=jj){ |
| cb[0]= lk +'a'-1;cb[1]='\0'; |
cb[0]= lk +'a'-1;cb[1]='\0'; |
| if(ll<jj){ |
if(ll<jj){ |
| if(itimes==1){ |
if(itimes==1){ |
| if(mle>=1) |
if(mle>=1) |
| printf(" Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
printf(" Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
| fprintf(ficlog," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
fprintf(ficlog," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
| fprintf(ficres," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
fprintf(ficres," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
| }else{ |
}else{ |
| if(mle>=1) |
if(mle>=1) |
| printf(" %.5e",matcov[jj][ll]); |
printf(" %.5e",matcov[jj][ll]); |
| fprintf(ficlog," %.5e",matcov[jj][ll]); |
fprintf(ficlog," %.5e",matcov[jj][ll]); |
| fprintf(ficres," %.5e",matcov[jj][ll]); |
fprintf(ficres," %.5e",matcov[jj][ll]); |
| } |
} |
| }else{ |
}else{ |
| if(itimes==1){ |
if(itimes==1){ |
| if(mle>=1) |
if(mle>=1) |
| printf(" Var(%s%1d%1d)",ca,i,j); |
printf(" Var(%s%1d%1d)",ca,i,j); |
| fprintf(ficlog," Var(%s%1d%1d)",ca,i,j); |
fprintf(ficlog," Var(%s%1d%1d)",ca,i,j); |
| fprintf(ficres," Var(%s%1d%1d)",ca,i,j); |
fprintf(ficres," Var(%s%1d%1d)",ca,i,j); |
| }else{ |
}else{ |
| if(mle>=1) |
if(mle>=1) |
| printf(" %.7e",matcov[jj][ll]); |
printf(" %.7e",matcov[jj][ll]); |
| fprintf(ficlog," %.7e",matcov[jj][ll]); |
fprintf(ficlog," %.7e",matcov[jj][ll]); |
| fprintf(ficres," %.7e",matcov[jj][ll]); |
fprintf(ficres," %.7e",matcov[jj][ll]); |
| } |
} |
| } |
} |
| } |
} |
| } /* end lk */ |
} /* end lk */ |
| } /* end lj */ |
} /* end lj */ |
| } /* end li */ |
} /* end li */ |
| if(mle>=1) |
if(mle>=1) |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| fprintf(ficres,"\n"); |
fprintf(ficres,"\n"); |
| numlinepar++; |
numlinepar++; |
| } /* end k*/ |
} /* end k*/ |
| } /*end j */ |
} /*end j */ |
| } /* end i */ |
} /* end i */ |
| } /* end itimes */ |
} /* end itimes */ |
| |
|
| fflush(ficlog); |
fflush(ficlog); |
| fflush(ficres); |
fflush(ficres); |
| while(fgets(line, MAXLINE, ficpar)) { |
while(fgets(line, MAXLINE, ficpar)) { |
| /* If line starts with a # it is a comment */ |
/* If line starts with a # it is a comment */ |
| if (line[0] == '#') { |
if (line[0] == '#') { |
| numlinepar++; |
numlinepar++; |
| fputs(line,stdout); |
fputs(line,stdout); |
| fputs(line,ficparo); |
fputs(line,ficparo); |
| fputs(line,ficlog); |
fputs(line,ficlog); |
| continue; |
continue; |
| }else |
}else |
| break; |
break; |
| } |
} |
| |
|
| /* while((c=getc(ficpar))=='#' && c!= EOF){ */ |
/* while((c=getc(ficpar))=='#' && c!= EOF){ */ |
| /* ungetc(c,ficpar); */ |
/* ungetc(c,ficpar); */ |
| /* fgets(line, MAXLINE, ficpar); */ |
/* fgets(line, MAXLINE, ficpar); */ |
|
Line 9785 Please run with mle=-1 to get a correct
|
Line 10072 Please run with mle=-1 to get a correct
|
| |
|
| estepm=0; |
estepm=0; |
| if((num_filled=sscanf(line,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm, &ftolpl)) !=EOF){ |
if((num_filled=sscanf(line,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm, &ftolpl)) !=EOF){ |
| |
|
| if (num_filled != 6) { |
if (num_filled != 6) { |
| printf("Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); |
printf("Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); |
| fprintf(ficlog,"Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); |
fprintf(ficlog,"Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); |
| goto end; |
goto end; |
| } |
} |
| printf("agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",ageminpar,agemaxpar, bage, fage, estepm, ftolpl); |
printf("agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",ageminpar,agemaxpar, bage, fage, estepm, ftolpl); |
| } |
} |
| /* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */ |
/* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */ |
| /*ftolpl=6.e-4;*/ /* 6.e-3 make convergences in less than 80 loops for the prevalence limit */ |
/*ftolpl=6.e-4;*/ /* 6.e-3 make convergences in less than 80 loops for the prevalence limit */ |
| |
|
| /* fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm); */ |
/* fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm); */ |
| if (estepm==0 || estepm < stepm) estepm=stepm; |
if (estepm==0 || estepm < stepm) estepm=stepm; |
| if (fage <= 2) { |
if (fage <= 2) { |
|
Line 9884 Please run with mle=-1 to get a correct
|
Line 10171 Please run with mle=-1 to get a correct
|
| printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p); |
printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p); |
| } |
} |
| printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \ |
printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \ |
| model,imx,jmin,jmax,jmean,rfileres,popforecast,prevfcast,backcast, estepm, \ |
model,imx,jmin,jmax,jmean,rfileres,popforecast,prevfcast,backcast, estepm, \ |
| jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2); |
jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2); |
| |
|
| /*------------ free_vector -------------*/ |
/*------------ free_vector -------------*/ |
| /* chdir(path); */ |
/* chdir(path); */ |
| |
|
| /* free_ivector(wav,1,imx); */ /* Moved after last prevalence call */ |
/* free_ivector(wav,1,imx); */ /* Moved after last prevalence call */ |
| /* free_imatrix(dh,1,lastpass-firstpass+2,1,imx); */ |
/* free_imatrix(dh,1,lastpass-firstpass+2,1,imx); */ |
|
Line 9915 Please run with mle=-1 to get a correct
|
Line 10202 Please run with mle=-1 to get a correct
|
| /*#include "hpijx.h"*/ |
/*#include "hpijx.h"*/ |
| hPijx(p, bage, fage); |
hPijx(p, bage, fage); |
| fclose(ficrespij); |
fclose(ficrespij); |
| |
|
| /* ncovcombmax= pow(2,cptcoveff); */ |
/* ncovcombmax= pow(2,cptcoveff); */ |
| /*-------------- Variance of one-step probabilities---*/ |
/*-------------- Variance of one-step probabilities---*/ |
| k=1; |
k=1; |
| varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart); |
varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart); |
| |
|
| /* Prevalence for each covariates in probs[age][status][cov] */ |
/* Prevalence for each covariates in probs[age][status][cov] */ |
| probs= ma3x(1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax); |
probs= ma3x(1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax); |
| for(i=1;i<=AGESUP;i++) |
for(i=1;i<=AGESUP;i++) |
| for(j=1;j<=nlstate+ndeath;j++) /* ndeath is useless but a necessity to be compared with mobaverages */ |
for(j=1;j<=nlstate+ndeath;j++) /* ndeath is useless but a necessity to be compared with mobaverages */ |
| for(k=1;k<=ncovcombmax;k++) |
for(k=1;k<=ncovcombmax;k++) |
| probs[i][j][k]=0.; |
probs[i][j][k]=0.; |
| prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); |
prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); |
| if (mobilav!=0 ||mobilavproj !=0 ) { |
if (mobilav!=0 ||mobilavproj !=0 ) { |
| mobaverages= ma3x(1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); |
mobaverages= ma3x(1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); |
| for(i=1;i<=AGESUP;i++) |
for(i=1;i<=AGESUP;i++) |
| for(j=1;j<=nlstate;j++) |
for(j=1;j<=nlstate;j++) |
| for(k=1;k<=ncovcombmax;k++) |
for(k=1;k<=ncovcombmax;k++) |
| mobaverages[i][j][k]=0.; |
mobaverages[i][j][k]=0.; |
| mobaverage=mobaverages; |
mobaverage=mobaverages; |
| if (mobilav!=0) { |
if (mobilav!=0) { |
| if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilav)!=0){ |
if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilav)!=0){ |
| fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); |
fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); |
| printf(" Error in movingaverage mobilav=%d\n",mobilav); |
printf(" Error in movingaverage mobilav=%d\n",mobilav); |
| } |
} |
| } |
} |
| /* /\* Prevalence for each covariates in probs[age][status][cov] *\/ */ |
/* /\* Prevalence for each covariates in probs[age][status][cov] *\/ */ |
| /* prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */ |
/* prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */ |
| else if (mobilavproj !=0) { |
else if (mobilavproj !=0) { |
| if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilavproj)!=0){ |
if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilavproj)!=0){ |
| fprintf(ficlog," Error in movingaverage mobilavproj=%d\n",mobilavproj); |
fprintf(ficlog," Error in movingaverage mobilavproj=%d\n",mobilavproj); |
| printf(" Error in movingaverage mobilavproj=%d\n",mobilavproj); |
printf(" Error in movingaverage mobilavproj=%d\n",mobilavproj); |
| } |
} |
| } |
} |
| }/* end if moving average */ |
}/* end if moving average */ |
| |
|
| /*---------- Forecasting ------------------*/ |
/*---------- Forecasting ------------------*/ |
| /*if((stepm == 1) && (strcmp(model,".")==0)){*/ |
/*if((stepm == 1) && (strcmp(model,".")==0)){*/ |
| if(prevfcast==1){ |
if(prevfcast==1){ |
| /* if(stepm ==1){*/ |
/* if(stepm ==1){*/ |
| prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, nqveff); |
prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff); |
| } |
} |
| if(backcast==1){ |
if(backcast==1){ |
| ddnewms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
ddnewms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
|
Line 9973 Please run with mle=-1 to get a correct
|
Line 10260 Please run with mle=-1 to get a correct
|
| free_matrix(bprlim,1,nlstate,1,nlstate); /*here or after loop ? */ |
free_matrix(bprlim,1,nlstate,1,nlstate); /*here or after loop ? */ |
| |
|
| /* prevbackforecast(fileresu, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, mobilavproj, |
/* prevbackforecast(fileresu, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, mobilavproj, |
| bage, fage, firstpass, lastpass, anback2, p, nqveff); */ |
bage, fage, firstpass, lastpass, anback2, p, cptcoveff); */ |
| free_matrix(ddnewms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
free_matrix(ddnewms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
| free_matrix(ddsavms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
free_matrix(ddsavms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
| free_matrix(ddoldms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
free_matrix(ddoldms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
|
Line 9999 Please run with mle=-1 to get a correct
|
Line 10286 Please run with mle=-1 to get a correct
|
| printf("Computing Health Expectancies: result on file '%s' ...", filerese);fflush(stdout); |
printf("Computing Health Expectancies: result on file '%s' ...", filerese);fflush(stdout); |
| fprintf(ficlog,"Computing Health Expectancies: result on file '%s' ...", filerese);fflush(ficlog); |
fprintf(ficlog,"Computing Health Expectancies: result on file '%s' ...", filerese);fflush(ficlog); |
| |
|
| for (k=1; k <= (int) pow(2,nqveff); k++){ |
for (k=1; k <= (int) pow(2,cptcoveff); k++){ /* For any combination of dummy covariates, fixed and varying */ |
| fprintf(ficreseij,"\n#****** "); |
fprintf(ficreseij,"\n#****** "); |
| for(j=1;j<=nqveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| } |
} |
| fprintf(ficreseij,"******\n"); |
fprintf(ficreseij,"******\n"); |
| |
|
|
Line 10016 Please run with mle=-1 to get a correct
|
Line 10303 Please run with mle=-1 to get a correct
|
| printf("done evsij\n");fflush(stdout); |
printf("done evsij\n");fflush(stdout); |
| fprintf(ficlog,"done evsij\n");fflush(ficlog); |
fprintf(ficlog,"done evsij\n");fflush(ficlog); |
| |
|
| /*---------- Health expectancies and variances ------------*/ |
/*---------- State-specific expectancies and variances ------------*/ |
| |
|
| |
|
| strcpy(filerest,"T_"); |
strcpy(filerest,"T_"); |
|
Line 10032 Please run with mle=-1 to get a correct
|
Line 10319 Please run with mle=-1 to get a correct
|
| strcpy(fileresstde,"STDE_"); |
strcpy(fileresstde,"STDE_"); |
| strcat(fileresstde,fileresu); |
strcat(fileresstde,fileresu); |
| if((ficresstdeij=fopen(fileresstde,"w"))==NULL) { |
if((ficresstdeij=fopen(fileresstde,"w"))==NULL) { |
| printf("Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0); |
printf("Problem with State specific Exp. and std errors resultfile: %s\n", fileresstde); exit(0); |
| fprintf(ficlog,"Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0); |
fprintf(ficlog,"Problem with State specific Exp. and std errors resultfile: %s\n", fileresstde); exit(0); |
| } |
} |
| printf(" Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde); |
printf(" Computing State-specific Expectancies and standard errors: result on file '%s' \n", fileresstde); |
| fprintf(ficlog," Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde); |
fprintf(ficlog," Computing State-specific Expectancies and standard errors: result on file '%s' \n", fileresstde); |
| |
|
| strcpy(filerescve,"CVE_"); |
strcpy(filerescve,"CVE_"); |
| strcat(filerescve,fileresu); |
strcat(filerescve,fileresu); |
| if((ficrescveij=fopen(filerescve,"w"))==NULL) { |
if((ficrescveij=fopen(filerescve,"w"))==NULL) { |
| printf("Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0); |
printf("Problem with Covar. State-specific Exp. resultfile: %s\n", filerescve); exit(0); |
| fprintf(ficlog,"Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0); |
fprintf(ficlog,"Problem with Covar. State-specific Exp. resultfile: %s\n", filerescve); exit(0); |
| } |
} |
| printf(" Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve); |
printf(" Computing Covar. of State-specific Expectancies: result on file '%s' \n", filerescve); |
| fprintf(ficlog," Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve); |
fprintf(ficlog," Computing Covar. of State-specific Expectancies: result on file '%s' \n", filerescve); |
| |
|
| strcpy(fileresv,"V_"); |
strcpy(fileresv,"V_"); |
| strcat(fileresv,fileresu); |
strcat(fileresv,fileresu); |
|
Line 10053 Please run with mle=-1 to get a correct
|
Line 10340 Please run with mle=-1 to get a correct
|
| printf("Problem with variance resultfile: %s\n", fileresv);exit(0); |
printf("Problem with variance resultfile: %s\n", fileresv);exit(0); |
| fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0); |
fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0); |
| } |
} |
| printf(" Computing Variance-covariance of DFLEs: file '%s' ... ", fileresv);fflush(stdout); |
printf(" Computing Variance-covariance of State-specific Expectancies: file '%s' ... ", fileresv);fflush(stdout); |
| fprintf(ficlog," Computing Variance-covariance of DFLEs: file '%s' ... ", fileresv);fflush(ficlog); |
fprintf(ficlog," Computing Variance-covariance of State-specific Expectancies: file '%s' ... ", fileresv);fflush(ficlog); |
| |
|
| /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
/*for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
| for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ |
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ |
| |
|
| for (k=1; k <= (int) pow(2,nqveff); k++){ |
for (k=1; k <= (int) pow(2,cptcoveff); k++){ |
| |
printf("\n#****** "); |
| fprintf(ficrest,"\n#****** "); |
fprintf(ficrest,"\n#****** "); |
| for(j=1;j<=nqveff;j++) |
fprintf(ficlog,"\n#****** "); |
| fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
for(j=1;j<=cptcoveff;j++){ |
| |
printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| |
fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| |
fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| |
} |
| fprintf(ficrest,"******\n"); |
fprintf(ficrest,"******\n"); |
| |
fprintf(ficlog,"******\n"); |
| |
printf("******\n"); |
| |
|
| fprintf(ficresstdeij,"\n#****** "); |
fprintf(ficresstdeij,"\n#****** "); |
| fprintf(ficrescveij,"\n#****** "); |
fprintf(ficrescveij,"\n#****** "); |
| for(j=1;j<=nqveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| } |
} |
| fprintf(ficresstdeij,"******\n"); |
fprintf(ficresstdeij,"******\n"); |
| fprintf(ficrescveij,"******\n"); |
fprintf(ficrescveij,"******\n"); |
| |
|
| fprintf(ficresvij,"\n#****** "); |
fprintf(ficresvij,"\n#****** "); |
| for(j=1;j<=nqveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficresvij,"******\n"); |
fprintf(ficresvij,"******\n"); |
| |
|
| eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); |
eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); |
| oldm=oldms;savm=savms; |
oldm=oldms;savm=savms; |
| printf(" cvevsij %d, ",k); |
printf(" cvevsij combination#=%d, ",k); |
| fprintf(ficlog, " cvevsij %d, ",k); |
fprintf(ficlog, " cvevsij combination#=%d, ",k); |
| cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart); |
cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart); |
| printf(" end cvevsij \n "); |
printf(" end cvevsij \n "); |
| fprintf(ficlog, " end cvevsij \n "); |
fprintf(ficlog, " end cvevsij \n "); |
|
Line 10096 Please run with mle=-1 to get a correct
|
Line 10390 Please run with mle=-1 to get a correct
|
| |
|
| |
|
| for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/ |
for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/ |
| oldm=oldms;savm=savms; /* ZZ Segmentation fault */ |
oldm=oldms;savm=savms; /* ZZ Segmentation fault */ |
| cptcod= 0; /* To be deleted */ |
cptcod= 0; /* To be deleted */ |
| printf("varevsij %d \n",vpopbased); |
printf("varevsij vpopbased=%d \n",vpopbased); |
| fprintf(ficlog, "varevsij %d \n",vpopbased); |
fprintf(ficlog, "varevsij vpopbased=%d \n",vpopbased); |
| varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, &ncvyear, k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); /* cptcod not initialized Intel */ |
varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, &ncvyear, k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); /* cptcod not initialized Intel */ |
| fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are "); |
fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are "); |
| if(vpopbased==1) |
if(vpopbased==1) |
| fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav); |
fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav); |
| else |
else |
| fprintf(ficrest,"the age specific period (stable) prevalences in each health state \n"); |
fprintf(ficrest,"the age specific period (stable) prevalences in each health state \n"); |
| fprintf(ficrest,"# Age popbased mobilav e.. (std) "); |
fprintf(ficrest,"# Age popbased mobilav e.. (std) "); |
| for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i); |
for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i); |
| fprintf(ficrest,"\n"); |
fprintf(ficrest,"\n"); |
| /* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */ |
/* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */ |
| epj=vector(1,nlstate+1); |
epj=vector(1,nlstate+1); |
| printf("Computing age specific period (stable) prevalences in each health state \n"); |
printf("Computing age specific period (stable) prevalences in each health state \n"); |
| fprintf(ficlog,"Computing age specific period (stable) prevalences in each health state \n"); |
fprintf(ficlog,"Computing age specific period (stable) prevalences in each health state \n"); |
| for(age=bage; age <=fage ;age++){ |
for(age=bage; age <=fage ;age++){ |
| prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, &ncvyear, k); /*ZZ Is it the correct prevalim */ |
prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, &ncvyear, k); /*ZZ Is it the correct prevalim */ |
| if (vpopbased==1) { |
if (vpopbased==1) { |
| if(mobilav ==0){ |
if(mobilav ==0){ |
| for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
| prlim[i][i]=probs[(int)age][i][k]; |
prlim[i][i]=probs[(int)age][i][k]; |
| }else{ /* mobilav */ |
}else{ /* mobilav */ |
| for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
| prlim[i][i]=mobaverage[(int)age][i][k]; |
prlim[i][i]=mobaverage[(int)age][i][k]; |
| } |
} |
| } |
} |
| |
|
| fprintf(ficrest," %4.0f %d %d",age, vpopbased, mobilav); |
fprintf(ficrest," %4.0f %d %d",age, vpopbased, mobilav); |
| /* fprintf(ficrest," %4.0f %d %d %d %d",age, vpopbased, mobilav,Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ /* to be done */ |
/* fprintf(ficrest," %4.0f %d %d %d %d",age, vpopbased, mobilav,Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ /* to be done */ |
| /* printf(" age %4.0f ",age); */ |
/* printf(" age %4.0f ",age); */ |
| for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){ |
for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){ |
| for(i=1, epj[j]=0.;i <=nlstate;i++) { |
for(i=1, epj[j]=0.;i <=nlstate;i++) { |
| epj[j] += prlim[i][i]*eij[i][j][(int)age]; |
epj[j] += prlim[i][i]*eij[i][j][(int)age]; |
| /*ZZZ printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]);*/ |
/*ZZZ printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]);*/ |
| /* printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]); */ |
/* printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]); */ |
| } |
} |
| epj[nlstate+1] +=epj[j]; |
epj[nlstate+1] +=epj[j]; |
| } |
} |
| /* printf(" age %4.0f \n",age); */ |
/* printf(" age %4.0f \n",age); */ |
| |
|
| for(i=1, vepp=0.;i <=nlstate;i++) |
for(i=1, vepp=0.;i <=nlstate;i++) |
| for(j=1;j <=nlstate;j++) |
for(j=1;j <=nlstate;j++) |
| vepp += vareij[i][j][(int)age]; |
vepp += vareij[i][j][(int)age]; |
| fprintf(ficrest," %7.3f (%7.3f)", epj[nlstate+1],sqrt(vepp)); |
fprintf(ficrest," %7.3f (%7.3f)", epj[nlstate+1],sqrt(vepp)); |
| for(j=1;j <=nlstate;j++){ |
for(j=1;j <=nlstate;j++){ |
| fprintf(ficrest," %7.3f (%7.3f)", epj[j],sqrt(vareij[j][j][(int)age])); |
fprintf(ficrest," %7.3f (%7.3f)", epj[j],sqrt(vareij[j][j][(int)age])); |
| } |
} |
| fprintf(ficrest,"\n"); |
fprintf(ficrest,"\n"); |
| } |
} |
| } /* End vpopbased */ |
} /* End vpopbased */ |
| free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); |
free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); |
| free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage); |
free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage); |
|
Line 10156 Please run with mle=-1 to get a correct
|
Line 10450 Please run with mle=-1 to get a correct
|
| |
|
| /*}*/ |
/*}*/ |
| } /* End k */ |
} /* End k */ |
| free_vector(weight,1,n); |
|
| free_imatrix(Tvard,1,NCOVMAX,1,2); |
|
| free_imatrix(s,1,maxwav+1,1,n); |
|
| free_matrix(anint,1,maxwav,1,n); |
|
| free_matrix(mint,1,maxwav,1,n); |
|
| free_ivector(cod,1,n); |
|
| free_ivector(tab,1,NCOVMAX); |
|
| fclose(ficresstdeij); |
|
| fclose(ficrescveij); |
|
| fclose(ficresvij); |
|
| fclose(ficrest); |
|
| printf("done Health expectancies\n");fflush(stdout); |
|
| fprintf(ficlog,"done Health expectancies\n");fflush(ficlog); |
|
| fclose(ficpar); |
|
| |
|
| /*------- Variance of period (stable) prevalence------*/ |
|
| |
|
| |
printf("done State-specific expectancies\n");fflush(stdout); |
| |
fprintf(ficlog,"done State-specific expectancies\n");fflush(ficlog); |
| |
|
| |
/*------- Variance of period (stable) prevalence------*/ |
| |
|
| strcpy(fileresvpl,"VPL_"); |
strcpy(fileresvpl,"VPL_"); |
| strcat(fileresvpl,fileresu); |
strcat(fileresvpl,fileresu); |
| if((ficresvpl=fopen(fileresvpl,"w"))==NULL) { |
if((ficresvpl=fopen(fileresvpl,"w"))==NULL) { |
|
Line 10181 Please run with mle=-1 to get a correct
|
Line 10464 Please run with mle=-1 to get a correct
|
| } |
} |
| printf("Computing Variance-covariance of period (stable) prevalence: file '%s' ...", fileresvpl);fflush(stdout); |
printf("Computing Variance-covariance of period (stable) prevalence: file '%s' ...", fileresvpl);fflush(stdout); |
| fprintf(ficlog, "Computing Variance-covariance of period (stable) prevalence: file '%s' ...", fileresvpl);fflush(ficlog); |
fprintf(ficlog, "Computing Variance-covariance of period (stable) prevalence: file '%s' ...", fileresvpl);fflush(ficlog); |
| |
|
| /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
/*for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
| for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ |
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ |
| |
|
| for (k=1; k <= (int) pow(2,nqveff); k++){ |
for (k=1; k <= (int) pow(2,cptcoveff); k++){ |
| fprintf(ficresvpl,"\n#****** "); |
fprintf(ficresvpl,"\n#****** "); |
| for(j=1;j<=nqveff;j++) |
printf("\n#****** "); |
| fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficlog,"\n#****** "); |
| fprintf(ficresvpl,"******\n"); |
for(j=1;j<=cptcoveff;j++) { |
| |
fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| varpl=matrix(1,nlstate,(int) bage, (int) fage); |
fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| oldm=oldms;savm=savms; |
printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, &ncvyear, k, strstart); |
} |
| free_matrix(varpl,1,nlstate,(int) bage, (int)fage); |
fprintf(ficresvpl,"******\n"); |
| |
printf("******\n"); |
| |
fprintf(ficlog,"******\n"); |
| |
|
| |
varpl=matrix(1,nlstate,(int) bage, (int) fage); |
| |
oldm=oldms;savm=savms; |
| |
varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, &ncvyear, k, strstart); |
| |
free_matrix(varpl,1,nlstate,(int) bage, (int)fage); |
| /*}*/ |
/*}*/ |
| } |
} |
| |
|
| fclose(ficresvpl); |
fclose(ficresvpl); |
| printf("done variance-covariance of period prevalence\n");fflush(stdout); |
printf("done variance-covariance of period prevalence\n");fflush(stdout); |
| fprintf(ficlog,"done variance-covariance of period prevalence\n");fflush(ficlog); |
fprintf(ficlog,"done variance-covariance of period prevalence\n");fflush(ficlog); |
| |
|
| |
free_vector(weight,1,n); |
| |
free_imatrix(Tvard,1,NCOVMAX,1,2); |
| |
free_imatrix(s,1,maxwav+1,1,n); |
| |
free_matrix(anint,1,maxwav,1,n); |
| |
free_matrix(mint,1,maxwav,1,n); |
| |
free_ivector(cod,1,n); |
| |
free_ivector(tab,1,NCOVMAX); |
| |
fclose(ficresstdeij); |
| |
fclose(ficrescveij); |
| |
fclose(ficresvij); |
| |
fclose(ficrest); |
| |
fclose(ficpar); |
| |
|
| |
|
| /*---------- End : free ----------------*/ |
/*---------- End : free ----------------*/ |
| if (mobilav!=0 ||mobilavproj !=0) |
if (mobilav!=0 ||mobilavproj !=0) |
| free_ma3x(mobaverages,1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); /* We need to have a squared matrix with prevalence of the dead! */ |
free_ma3x(mobaverages,1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); /* We need to have a squared matrix with prevalence of the dead! */ |
|
Line 10209 Please run with mle=-1 to get a correct
|
Line 10513 Please run with mle=-1 to get a correct
|
| free_matrix(prlim,1,nlstate,1,nlstate); /*here or after loop ? */ |
free_matrix(prlim,1,nlstate,1,nlstate); /*here or after loop ? */ |
| free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath); |
| } /* mle==-3 arrives here for freeing */ |
} /* mle==-3 arrives here for freeing */ |
| /* endfree:*/ |
/* endfree:*/ |
| 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); |
| free_ma3x(cotqvar,1,maxwav,1,nqtv,1,n); |
free_ma3x(cotqvar,1,maxwav,1,nqtv,1,n); |
| free_ma3x(cotvar,1,maxwav,1,ntv,1,n); |
free_ma3x(cotvar,1,maxwav,1,ntv,1,n); |
| free_matrix(coqvar,1,maxwav,1,n); |
free_matrix(coqvar,1,maxwav,1,n); |
| free_matrix(covar,0,NCOVMAX,1,n); |
free_matrix(covar,0,NCOVMAX,1,n); |
| free_matrix(matcov,1,npar,1,npar); |
free_matrix(matcov,1,npar,1,npar); |
| free_matrix(hess,1,npar,1,npar); |
free_matrix(hess,1,npar,1,npar); |
| /*free_vector(delti,1,npar);*/ |
/*free_vector(delti,1,npar);*/ |
| free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); |
free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); |
| free_matrix(agev,1,maxwav,1,imx); |
free_matrix(agev,1,maxwav,1,imx); |
| free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); |
free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); |
| |
|
| free_ivector(ncodemax,1,NCOVMAX); |
free_ivector(ncodemax,1,NCOVMAX); |
| free_ivector(ncodemaxwundef,1,NCOVMAX); |
free_ivector(ncodemaxwundef,1,NCOVMAX); |
| free_ivector(Tvar,1,NCOVMAX); |
free_ivector(Dummy,-1,NCOVMAX); |
| free_ivector(Tprod,1,NCOVMAX); |
free_ivector(Fixed,-1,NCOVMAX); |
| free_ivector(Tvaraff,1,NCOVMAX); |
free_ivector(Typevar,-1,NCOVMAX); |
| free_ivector(invalidvarcomb,1,ncovcombmax); |
free_ivector(Tvar,1,NCOVMAX); |
| free_ivector(Tage,1,NCOVMAX); |
free_ivector(Tposprod,1,NCOVMAX); |
| |
free_ivector(Tprod,1,NCOVMAX); |
| free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX); |
free_ivector(Tvaraff,1,NCOVMAX); |
| /* free_imatrix(codtab,1,100,1,10); */ |
free_ivector(invalidvarcomb,1,ncovcombmax); |
| |
free_ivector(Tage,1,NCOVMAX); |
| |
free_ivector(Tmodelind,1,NCOVMAX); |
| |
|
| |
free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX); |
| |
/* free_imatrix(codtab,1,100,1,10); */ |
| fflush(fichtm); |
fflush(fichtm); |
| fflush(ficgp); |
fflush(ficgp); |
| |
|
| |
|
| if((nberr >0) || (nbwarn>0)){ |
if((nberr >0) || (nbwarn>0)){ |
| printf("End of Imach with %d errors and/or %d warnings. Please look at the log file for details.\n",nberr,nbwarn); |
printf("End of Imach with %d errors and/or %d warnings. Please look at the log file for details.\n",nberr,nbwarn); |
| fprintf(ficlog,"End of Imach with %d errors and/or warnings %d. Please look at the log file for details.\n",nberr,nbwarn); |
fprintf(ficlog,"End of Imach with %d errors and/or warnings %d. Please look at the log file for details.\n",nberr,nbwarn); |
|
Line 10255 Please run with mle=-1 to get a correct
|
Line 10564 Please run with mle=-1 to get a correct
|
| printf("Local time at start %s\nLocal time at end %s",strstart, strtend); |
printf("Local time at start %s\nLocal time at end %s",strstart, strtend); |
| fprintf(ficlog,"Local time at start %s\nLocal time at end %s\n",strstart, strtend); |
fprintf(ficlog,"Local time at start %s\nLocal time at end %s\n",strstart, strtend); |
| printf("Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout)); |
printf("Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout)); |
| |
|
| printf("Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time)); |
printf("Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time)); |
| fprintf(ficlog,"Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout)); |
fprintf(ficlog,"Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout)); |
| fprintf(ficlog,"Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time)); |
fprintf(ficlog,"Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time)); |
|
Line 10268 Please run with mle=-1 to get a correct
|
Line 10577 Please run with mle=-1 to get a correct
|
| fclose(ficgp); |
fclose(ficgp); |
| fclose(ficlog); |
fclose(ficlog); |
| /*------ End -----------*/ |
/*------ End -----------*/ |
| |
|
| |
|
| printf("Before Current directory %s!\n",pathcd); |
printf("Before Current directory %s!\n",pathcd); |
| #ifdef WIN32 |
#ifdef WIN32 |
| if (_chdir(pathcd) != 0) |
if (_chdir(pathcd) != 0) |
| printf("Can't move to directory %s!\n",path); |
printf("Can't move to directory %s!\n",path); |
| if(_getcwd(pathcd,MAXLINE) > 0) |
if(_getcwd(pathcd,MAXLINE) > 0) |
| #else |
#else |
| if(chdir(pathcd) != 0) |
if(chdir(pathcd) != 0) |
| printf("Can't move to directory %s!\n", path); |
printf("Can't move to directory %s!\n", path); |
| if (getcwd(pathcd, MAXLINE) > 0) |
if (getcwd(pathcd, MAXLINE) > 0) |
| #endif |
#endif |
| printf("Current directory %s!\n",pathcd); |
printf("Current directory %s!\n",pathcd); |
| /*strcat(plotcmd,CHARSEPARATOR);*/ |
/*strcat(plotcmd,CHARSEPARATOR);*/ |
|
Line 10304 Please run with mle=-1 to get a correct
|
Line 10613 Please run with mle=-1 to get a correct
|
| |
|
| sprintf(plotcmd,"%s %s",pplotcmd, optionfilegnuplot); |
sprintf(plotcmd,"%s %s",pplotcmd, optionfilegnuplot); |
| printf("Starting graphs with: '%s'\n",plotcmd);fflush(stdout); |
printf("Starting graphs with: '%s'\n",plotcmd);fflush(stdout); |
| |
|
| if((outcmd=system(plotcmd)) != 0){ |
if((outcmd=system(plotcmd)) != 0){ |
| printf("gnuplot command might not be in your path: '%s', err=%d\n", plotcmd, outcmd); |
printf("gnuplot command might not be in your path: '%s', err=%d\n", plotcmd, outcmd); |
| printf("\n Trying if gnuplot resides on the same directory that IMaCh\n"); |
printf("\n Trying if gnuplot resides on the same directory that IMaCh\n"); |
|
Line 10332 Please run with mle=-1 to get a correct
|
Line 10641 Please run with mle=-1 to get a correct
|
| else if (z[0] == 'g') system(plotcmd); |
else if (z[0] == 'g') system(plotcmd); |
| else if (z[0] == 'q') exit(0); |
else if (z[0] == 'q') exit(0); |
| } |
} |
| end: |
end: |
| while (z[0] != 'q') { |
while (z[0] != 'q') { |
| printf("\nType q for exiting: "); fflush(stdout); |
printf("\nType q for exiting: "); fflush(stdout); |
| scanf("%s",z); |
scanf("%s",z); |
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