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version 1.292, 2019/05/09 14:17:20
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version 1.317, 2022/05/15 15:06:23
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| /* $Id$ |
/* $Id$ |
| $State$ |
$State$ |
| $Log$ |
$Log$ |
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Revision 1.317 2022/05/15 15:06:23 brouard |
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* imach.c (Module): Some minor improvements |
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Revision 1.316 2022/05/11 15:11:31 brouard |
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Summary: r27 |
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Revision 1.315 2022/05/11 15:06:32 brouard |
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*** empty log message *** |
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Revision 1.314 2022/04/13 17:43:09 brouard |
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* imach.c (Module): Adding link to text data files |
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Revision 1.313 2022/04/11 15:57:42 brouard |
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* imach.c (Module): Error in rewriting the 'r' file with yearsfproj or yearsbproj fixed |
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Revision 1.312 2022/04/05 21:24:39 brouard |
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*** empty log message *** |
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Revision 1.311 2022/04/05 21:03:51 brouard |
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Summary: Fixed quantitative covariates |
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Fixed covariates (dummy or quantitative) |
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with missing values have never been allowed but are ERRORS and |
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program quits. Standard deviations of fixed covariates were |
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wrongly computed. Mean and standard deviations of time varying |
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covariates are still not computed. |
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Revision 1.310 2022/03/17 08:45:53 brouard |
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Summary: 99r25 |
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Improving detection of errors: result lines should be compatible with |
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the model. |
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Revision 1.309 2021/05/20 12:39:14 brouard |
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Summary: Version 0.99r24 |
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Revision 1.308 2021/03/31 13:11:57 brouard |
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Summary: Version 0.99r23 |
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* imach.c (Module): Still bugs in the result loop. Thank to Holly Benett |
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Revision 1.307 2021/03/08 18:11:32 brouard |
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Summary: 0.99r22 fixed bug on result: |
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Revision 1.306 2021/02/20 15:44:02 brouard |
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Summary: Version 0.99r21 |
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* imach.c (Module): Fix bug on quitting after result lines! |
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(Module): Version 0.99r21 |
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Revision 1.305 2021/02/20 15:28:30 brouard |
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* imach.c (Module): Fix bug on quitting after result lines! |
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Revision 1.304 2021/02/12 11:34:20 brouard |
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* imach.c (Module): The use of a Windows BOM (huge) file is now an error |
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Revision 1.303 2021/02/11 19:50:15 brouard |
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* (Module): imach.c Someone entered 'results:' instead of 'result:'. Now it is an error which is printed. |
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Revision 1.302 2020/02/22 21:00:05 brouard |
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* (Module): imach.c Update mle=-3 (for computing Life expectancy |
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and life table from the data without any state) |
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Revision 1.301 2019/06/04 13:51:20 brouard |
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Summary: Error in 'r'parameter file backcast yearsbproj instead of yearsfproj |
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Revision 1.300 2019/05/22 19:09:45 brouard |
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Summary: version 0.99r19 of May 2019 |
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Revision 1.299 2019/05/22 18:37:08 brouard |
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Summary: Cleaned 0.99r19 |
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Revision 1.298 2019/05/22 18:19:56 brouard |
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*** empty log message *** |
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Revision 1.297 2019/05/22 17:56:10 brouard |
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Summary: Fix bug by moving date2dmy and nhstepm which gaefin=-1 |
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Revision 1.296 2019/05/20 13:03:18 brouard |
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Summary: Projection syntax simplified |
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We can now start projections, forward or backward, from the mean date |
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of inteviews up to or down to a number of years of projection: |
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prevforecast=1 yearsfproj=15.3 mobil_average=0 |
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or |
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prevforecast=1 starting-proj-date=1/1/2007 final-proj-date=12/31/2017 mobil_average=0 |
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or |
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prevbackcast=1 yearsbproj=12.3 mobil_average=1 |
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or |
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prevbackcast=1 starting-back-date=1/10/1999 final-back-date=1/1/1985 mobil_average=1 |
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Revision 1.295 2019/05/18 09:52:50 brouard |
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Summary: doxygen tex bug |
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Revision 1.294 2019/05/16 14:54:33 brouard |
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Summary: There was some wrong lines added |
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Revision 1.293 2019/05/09 15:17:34 brouard |
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*** empty log message *** |
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| Revision 1.292 2019/05/09 14:17:20 brouard |
Revision 1.292 2019/05/09 14:17:20 brouard |
| Summary: Some updates |
Summary: Some updates |
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Line 1088 typedef struct {
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Line 1190 typedef struct {
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| /* $State$ */ |
/* $State$ */ |
| #include "version.h" |
#include "version.h" |
| char version[]=__IMACH_VERSION__; |
char version[]=__IMACH_VERSION__; |
| char copyright[]="April 2018,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2018"; |
char copyright[]="May 2022,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2020, Nihon University 2021-202, INED 2000-2022"; |
| char fullversion[]="$Revision$ $Date$"; |
char fullversion[]="$Revision$ $Date$"; |
| char strstart[80]; |
char strstart[80]; |
| char optionfilext[10], optionfilefiname[FILENAMELENGTH]; |
char optionfilext[10], optionfilefiname[FILENAMELENGTH]; |
|
Line 1114 int nqtveff=0; /**< ntqveff number of ef
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Line 1216 int nqtveff=0; /**< ntqveff number of ef
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| int cptcov=0; /* Working variable */ |
int cptcov=0; /* Working variable */ |
| int nobs=10; /* Number of observations in the data lastobs-firstobs */ |
int nobs=10; /* Number of observations in the data lastobs-firstobs */ |
| int ncovcombmax=NCOVMAX; /* Maximum calculated number of covariate combination = pow(2, cptcoveff) */ |
int ncovcombmax=NCOVMAX; /* Maximum calculated number of covariate combination = pow(2, cptcoveff) */ |
| int npar=NPARMAX; |
int npar=NPARMAX; /* Number of parameters (nlstate+ndeath-1)*nlstate*ncovmodel; */ |
| int nlstate=2; /* Number of live states */ |
int nlstate=2; /* Number of live states */ |
| int ndeath=1; /* Number of dead states */ |
int ndeath=1; /* Number of dead states */ |
| int ncovmodel=0, ncovcol=0; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */ |
int ncovmodel=0, ncovcol=0; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */ |
|
Line 1253 double **pmmij, ***probs; /* Global poin
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Line 1355 double **pmmij, ***probs; /* Global poin
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| double ***mobaverage, ***mobaverages; /* New global variable */ |
double ***mobaverage, ***mobaverages; /* New global variable */ |
| double *ageexmed,*agecens; |
double *ageexmed,*agecens; |
| double dateintmean=0; |
double dateintmean=0; |
| |
double anprojd, mprojd, jprojd; /* For eventual projections */ |
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double anprojf, mprojf, jprojf; |
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|
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double anbackd, mbackd, jbackd; /* For eventual backprojections */ |
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double anbackf, mbackf, jbackf; |
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double jintmean,mintmean,aintmean; |
| double *weight; |
double *weight; |
| int **s; /* Status */ |
int **s; /* Status */ |
| double *agedc; |
double *agedc; |
|
Line 1500 char *cutl(char *blocc, char *alocc, cha
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Line 1607 char *cutl(char *blocc, char *alocc, cha
|
| { |
{ |
| /* cuts string in into blocc and alocc where blocc ends before FIRST occurence of char 'occ' |
/* cuts string in into blocc and alocc where blocc ends before FIRST occurence of char 'occ' |
| and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2') |
and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2') |
| gives blocc="abcdef" and alocc="ghi2j". |
gives alocc="abcdef" and blocc="ghi2j". |
| If occ is not found blocc is null and alocc is equal to in. Returns blocc |
If occ is not found blocc is null and alocc is equal to in. Returns blocc |
| */ |
*/ |
| char *s, *t; |
char *s, *t; |
|
Line 1782 char *subdirf(char fileres[])
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Line 1889 char *subdirf(char fileres[])
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| /*************** function subdirf2 ***********/ |
/*************** function subdirf2 ***********/ |
| char *subdirf2(char fileres[], char *preop) |
char *subdirf2(char fileres[], char *preop) |
| { |
{ |
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/* Example subdirf2(optionfilefiname,"FB_") with optionfilefiname="texte", result="texte/FB_texte" |
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Errors in subdirf, 2, 3 while printing tmpout is |
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rewritten within the same printf. Workaround: many printfs */ |
| /* Caution optionfilefiname is hidden */ |
/* Caution optionfilefiname is hidden */ |
| strcpy(tmpout,optionfilefiname); |
strcpy(tmpout,optionfilefiname); |
| strcat(tmpout,"/"); |
strcat(tmpout,"/"); |
|
Line 2153 void linmin(double p[], double xi[], int
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Line 2262 void linmin(double p[], double xi[], int
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| #endif |
#endif |
| #ifdef LINMINORIGINAL |
#ifdef LINMINORIGINAL |
| #else |
#else |
| if(fb == fx){ /* Flat function in the direction */ |
if(fb == fx){ /* Flat function in the direction */ |
| xmin=xx; |
xmin=xx; |
| *flat=1; |
*flat=1; |
| }else{ |
}else{ |
| *flat=0; |
*flat=0; |
| #endif |
#endif |
| /*Flat mnbrak2 shift (*ax=0.000000000000, *fa=51626.272983130431), (*bx=-1.618034000000, *fb=51590.149499362531), (*cx=-4.236068025156, *fc=51590.149499362531) */ |
/*Flat mnbrak2 shift (*ax=0.000000000000, *fa=51626.272983130431), (*bx=-1.618034000000, *fb=51590.149499362531), (*cx=-4.236068025156, *fc=51590.149499362531) */ |
|
Line 2214 void linmin(double p[], double xi[], int
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Line 2323 void linmin(double p[], double xi[], int
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| |
|
| /*************** powell ************************/ |
/*************** powell ************************/ |
| /* |
/* |
| Minimization of a function func of n variables. Input consists of an initial starting point |
Minimization of a function func of n variables. Input consists in an initial starting point |
| p[1..n] ; an initial matrix xi[1..n][1..n] , whose columns contain the initial set of di- |
p[1..n] ; an initial matrix xi[1..n][1..n] whose columns contain the initial set of di- |
| rections (usually the n unit vectors); and ftol , the fractional tolerance in the function value |
rections (usually the n unit vectors); and ftol, the fractional tolerance in the function value |
| such that failure to decrease by more than this amount on one iteration signals doneness. On |
such that failure to decrease by more than this amount in one iteration signals doneness. On |
| output, p is set to the best point found, xi is the then-current direction set, fret is the returned |
output, p is set to the best point found, xi is the then-current direction set, fret is the returned |
| function value at p , and iter is the number of iterations taken. The routine linmin is used. |
function value at p , and iter is the number of iterations taken. The routine linmin is used. |
| */ |
*/ |
|
Line 2372 void powell(double p[], double **xi, int
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Line 2481 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++) { |
| if(flatdir[j] >0){ |
if(flatdir[j] >0){ |
| printf(" 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]); |
fprintf(ficlog," p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); |
| } |
} |
| /* printf("\n"); */ |
/* printf("\n"); */ |
| /* fprintf(ficlog,"\n"); */ |
/* fprintf(ficlog,"\n"); */ |
| } |
} |
| /* if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /\* Did we reach enough precision? *\/ */ |
/* if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /\* Did we reach enough precision? *\/ */ |
| if (2.0*fabs(fp-(*fret)) <= ftol) { /* Did we reach enough precision? */ |
if (2.0*fabs(fp-(*fret)) <= ftol) { /* 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 */ |
|
Line 2698 void powell(double p[], double **xi, int
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Line 2807 void powell(double p[], double **xi, int
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| if(!first){ |
if(!first){ |
| first=1; |
first=1; |
| printf("Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d). Others in log file only...\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); |
printf("Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d). Others in log file only...\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); |
| |
fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); |
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}else if (first >=1 && first <10){ |
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fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); |
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first++; |
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}else if (first ==10){ |
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fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); |
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printf("Warning: the stable prevalence dit not converge. This warning came too often, IMaCh will stop notifying, even in its log file. Look at the graphs to appreciate the non convergence.\n"); |
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fprintf(ficlog,"Warning: the stable prevalence no convergence; too many cases, giving up noticing, even in log file\n"); |
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first++; |
| } |
} |
| fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); |
|
| |
|
| /* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */ |
/* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */ |
| free_vector(min,1,nlstate); |
free_vector(min,1,nlstate); |
|
Line 2966 double **pmij(double **ps, double *cov,
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Line 3083 double **pmij(double **ps, double *cov,
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| ps[ii][ii]=1; |
ps[ii][ii]=1; |
| } |
} |
| } |
} |
| |
|
| |
|
| /* for(ii=1; ii<= nlstate+ndeath; ii++){ */ |
/* for(ii=1; ii<= nlstate+ndeath; ii++){ */ |
| /* for(jj=1; jj<= nlstate+ndeath; jj++){ */ |
/* for(jj=1; jj<= nlstate+ndeath; jj++){ */ |
| /* printf(" pmij ps[%d][%d]=%lf ",ii,jj,ps[ii][jj]); */ |
/* printf(" pmij ps[%d][%d]=%lf ",ii,jj,ps[ii][jj]); */ |
|
Line 2987 double **pmij(double **ps, double *cov,
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Line 3104 double **pmij(double **ps, double *cov,
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| /* double **bmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate, double ***prevacurrent, double ***dnewm, double **doldm, double **dsavm, int ij ) */ |
/* double **bmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate, double ***prevacurrent, double ***dnewm, double **doldm, double **dsavm, int ij ) */ |
| double **bmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate, double ***prevacurrent, int ij ) |
double **bmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate, double ***prevacurrent, int ij ) |
| { |
{ |
| /* Computes the backward probability at age agefin and covariate combination ij. In fact cov is already filled and x too. |
/* Computes the backward probability at age agefin, cov[2], and covariate combination 'ij'. In fact cov is already filled and x too. |
| * Call to pmij(cov and x), call to cross prevalence, sums and inverses, left multiply, and returns in **ps as well as **bmij. |
* Call to pmij(cov and x), call to cross prevalence, sums and inverses, left multiply, and returns in **ps as well as **bmij. |
| */ |
*/ |
| int i, ii, j,k; |
int i, ii, j,k; |
|
Line 3018 double **pmij(double **ps, double *cov,
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Line 3135 double **pmij(double **ps, double *cov,
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| sumnew=0.; |
sumnew=0.; |
| /*for (ii=1;ii<=nlstate+ndeath;ii++){*/ |
/*for (ii=1;ii<=nlstate+ndeath;ii++){*/ |
| for (ii=1;ii<=nlstate;ii++){ /* Only on live states */ |
for (ii=1;ii<=nlstate;ii++){ /* Only on live states */ |
| /* printf(" agefin=%d, ii=%d, ij=%d, prev=%f\n",(int)agefin,ii, ij, prevacurrent[(int)agefin][ii][ij]); */ |
/* printf(" agefin=%d, ii=%d, ij=%d, prev=%f\n",(int)agefin,ii, ij, prevacurrent[(int)agefin][ii][ij]); */ |
| sumnew+=prevacurrent[(int)agefin][ii][ij]; |
sumnew+=prevacurrent[(int)agefin][ii][ij]; |
| } |
} |
| if(sumnew >0.01){ /* At least some value in the prevalence */ |
if(sumnew >0.01){ /* At least some value in the prevalence */ |
|
Line 3134 double **bpmij(double **ps, double *cov,
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Line 3251 double **bpmij(double **ps, double *cov,
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| ps[ii][ii]=1; |
ps[ii][ii]=1; |
| } |
} |
| } |
} |
| /* Added for backcast */ /* Transposed matrix too */ |
/* Added for prevbcast */ /* Transposed matrix too */ |
| for(jj=1; jj<= nlstate+ndeath; jj++){ |
for(jj=1; jj<= nlstate+ndeath; jj++){ |
| s1=0.; |
s1=0.; |
| for(ii=1; ii<= nlstate+ndeath; ii++){ |
for(ii=1; ii<= nlstate+ndeath; ii++){ |
|
Line 3767 double funcone( double *x)
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Line 3884 double funcone( double *x)
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| /* Fixed */ |
/* Fixed */ |
| /* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */ |
/* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */ |
| /* for (k=1; k<=ncoveff;k++){ /\* Simple and product fixed Dummy covariates without age* products *\/ */ |
/* for (k=1; k<=ncoveff;k++){ /\* Simple and product fixed Dummy covariates without age* products *\/ */ |
| for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products */ |
for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products *//* Missing values are set to -1 but should be dropped */ |
| cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ |
cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ |
| /* cov[ioffset+TvarFind[1]]=covar[Tvar[TvarFind[1]]][i]; */ |
/* cov[ioffset+TvarFind[1]]=covar[Tvar[TvarFind[1]]][i]; */ |
| /* cov[2+6]=covar[Tvar[6]][i]; */ |
/* cov[2+6]=covar[Tvar[6]][i]; */ |
|
Line 4393 void pstamp(FILE *fichier)
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Line 4510 void pstamp(FILE *fichier)
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| fprintf(fichier,"# %s.%s\n#IMaCh version %s, %s\n#%s\n# %s", optionfilefiname,optionfilext,version,copyright, fullversion, strstart); |
fprintf(fichier,"# %s.%s\n#IMaCh version %s, %s\n#%s\n# %s", optionfilefiname,optionfilext,version,copyright, fullversion, strstart); |
| } |
} |
| |
|
| |
void date2dmy(double date,double *day, double *month, double *year){ |
| |
double yp=0., yp1=0., yp2=0.; |
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|
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yp1=modf(date,&yp);/* extracts integral of date in yp and |
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fractional in yp1 */ |
| |
*year=yp; |
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yp2=modf((yp1*12),&yp); |
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*month=yp; |
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yp1=modf((yp2*30.5),&yp); |
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*day=yp; |
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if(*day==0) *day=1; |
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if(*month==0) *month=1; |
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} |
| |
|
| |
|
| |
|
| /************ Frequencies ********************/ |
/************ Frequencies ********************/ |
|
Line 4608 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 4739 Title=%s <br>Datafile=%s Firstpass=%d La
|
| if(s[m][iind]==-1) |
if(s[m][iind]==-1) |
| printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind],agebegin, ageend, (int)((agebegin+ageend)/2.)); |
printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind],agebegin, ageend, (int)((agebegin+ageend)/2.)); |
| freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
| for (z1=1; z1<= nqfveff; z1++) { /* Quantitative variables, calculating mean */ |
for (z1=1; z1<= nqfveff; z1++) { /* Quantitative variables, calculating mean on known values only */ |
| idq[z1]=idq[z1]+weight[iind]; |
if(!isnan(covar[ncovcol+z1][iind])){ |
| meanq[z1]+=covar[ncovcol+z1][iind]*weight[iind]; /* Computes mean of quantitative with selected filter */ |
idq[z1]=idq[z1]+weight[iind]; |
| stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]*weight[iind]; /* *weight[iind];*/ /* Computes mean of quantitative with selected filter */ |
meanq[z1]+=covar[ncovcol+z1][iind]*weight[iind]; /* Computes mean of quantitative with selected filter */ |
| |
/* stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]*weight[iind]; *//*error*/ |
| |
stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]; /* *weight[iind];*/ /* Computes mean of quantitative with selected filter */ |
| |
} |
| } |
} |
| /* if((int)agev[m][iind] == 55) */ |
/* if((int)agev[m][iind] == 55) */ |
| /* printf("j=%d, j1=%d Age %d, iind=%d, num=%09ld m=%d\n",j,j1,(int)agev[m][iind],iind, num[iind],m); */ |
/* printf("j=%d, j1=%d Age %d, iind=%d, num=%09ld m=%d\n",j,j1,(int)agev[m][iind],iind, num[iind],m); */ |
|
Line 4674 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 4808 Title=%s <br>Datafile=%s Firstpass=%d La
|
| Printing means of quantitative variables if any |
Printing means of quantitative variables if any |
| */ |
*/ |
| for (z1=1; z1<= nqfveff; z1++) { |
for (z1=1; z1<= nqfveff; z1++) { |
| fprintf(ficlog,"Mean of fixed quantitative variable V%d on %.0f individuals sum=%f", ncovcol+z1, idq[z1], meanq[z1]); |
fprintf(ficlog,"Mean of fixed quantitative variable V%d on %.3g (weighted) individuals sum=%f", ncovcol+z1, idq[z1], meanq[z1]); |
| fprintf(ficlog,", mean=%.3g\n",meanq[z1]/idq[z1]); |
fprintf(ficlog,", mean=%.3g\n",meanq[z1]/idq[z1]); |
| if(weightopt==1){ |
if(weightopt==1){ |
| printf(" Weighted mean and standard deviation of"); |
printf(" Weighted mean and standard deviation of"); |
| fprintf(ficlog," Weighted mean and standard deviation of"); |
fprintf(ficlog," Weighted mean and standard deviation of"); |
| fprintf(ficresphtmfr," Weighted mean and standard deviation of"); |
fprintf(ficresphtmfr," Weighted mean and standard deviation of"); |
| } |
} |
| printf(" fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1])); |
/* mu = \frac{w x}{\sum w} |
| fprintf(ficlog," fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1])); |
var = \frac{\sum w (x-mu)^2}{\sum w} = \frac{w x^2}{\sum w} - mu^2 |
| fprintf(ficresphtmfr," fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)<p>\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1])); |
*/ |
| |
printf(" fixed quantitative variable V%d on %.3g (weighted) representatives of the population : %8.5g (%8.5g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1])); |
| |
fprintf(ficlog," fixed quantitative variable V%d on %.3g (weighted) representatives of the population : %8.5g (%8.5g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1])); |
| |
fprintf(ficresphtmfr," fixed quantitative variable V%d on %.3g (weighted) representatives of the population : %8.5g (%8.5g)<p>\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1])); |
| } |
} |
| /* for (z1=1; z1<= nqtveff; z1++) { */ |
/* for (z1=1; z1<= nqtveff; z1++) { */ |
| /* for(m=1;m<=lastpass;m++){ */ |
/* for(m=1;m<=lastpass;m++){ */ |
|
Line 4967 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5104 Title=%s <br>Datafile=%s Firstpass=%d La
|
| } |
} |
| } /* end mle=-2 */ |
} /* end mle=-2 */ |
| dateintmean=dateintsum/k2cpt; |
dateintmean=dateintsum/k2cpt; |
| |
date2dmy(dateintmean,&jintmean,&mintmean,&aintmean); |
| |
|
| fclose(ficresp); |
fclose(ficresp); |
| fclose(ficresphtm); |
fclose(ficresphtm); |
|
Line 5160 void prevalence(double ***probs, double
|
Line 5298 void prevalence(double ***probs, double
|
| |
|
| void concatwav(int wav[], int **dh, int **bh, int **mw, int **s, double *agedc, double **agev, int firstpass, int lastpass, int imx, int nlstate, int stepm) |
void concatwav(int wav[], int **dh, int **bh, int **mw, int **s, double *agedc, double **agev, int firstpass, int lastpass, int imx, int nlstate, int stepm) |
| { |
{ |
| /* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i. |
/* Concatenates waves: wav[i] is the number of effective (useful waves in the sense that a non interview is useless) of individual i. |
| Death is a valid wave (if date is known). |
Death is a valid wave (if date is known). |
| 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. s[m][i] exists for any wave from firstpass to lastpass |
| */ |
*/ |
| |
|
| int i=0, mi=0, m=0, mli=0; |
int i=0, mi=0, m=0, mli=0; |
|
Line 5185 void concatwav(int wav[], int **dh, int
|
Line 5323 void concatwav(int wav[], int **dh, int
|
| 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; /* Loop on waves */ |
| while(s[m][i] <= nlstate){ /* a live state */ |
while(s[m][i] <= nlstate){ /* a live state or unknown 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; /* Valid wave: incrementing mi and updating mi; mw[mi] is the wave number of mi_th valid transition */ |
| 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){ /* no death date and known date of interview, case -2 (vital status unknown is warned later */ |
| 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 1-p%d%d .\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, s[m][i], nlstate+ndeath); |
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 1-p_{%d%d} .\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, s[m][i], nlstate+ndeath); |
| firsthree=1; |
firsthree=1; |
| |
}else if(firsthree >=1 && firsthree < 10){ |
| |
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 1-p_{%d%d} .\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, s[m][i], nlstate+ndeath); |
| |
firsthree++; |
| |
}else if(firsthree == 10){ |
| |
printf("Information, too many Information flags: no more reported to log either\n"); |
| |
fprintf(ficlog,"Information, too many Information flags: no more reported to log either\n"); |
| |
firsthree++; |
| |
}else{ |
| |
firsthree++; |
| } |
} |
| 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 1-p%d%d .\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, s[m][i], nlstate+ndeath); |
mw[++mi][i]=m; /* Valid transition with unknown status */ |
| 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?not a transition */ |
| 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); |
| } |
} |
|
Line 5236 void concatwav(int wav[], int **dh, int
|
Line 5382 void concatwav(int wav[], int **dh, int
|
| #ifndef DISPATCHINGKNOWNDEATHAFTERLASTWAVE |
#ifndef DISPATCHINGKNOWNDEATHAFTERLASTWAVE |
| else if ((int) andc[i] != 9999) { /* Date of death is known */ |
else if ((int) andc[i] != 9999) { /* Date of death is known */ |
| 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.)){ /* month of death occured before last wave month 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 on %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 on %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 */ |
s[m][i]=nlstate+1; /* Fixing the status as death. Be careful if multiple death states */ |
| |
}else{ /* Month of Death occured afer last wave month, 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. Please add a new fictive wave at the date of last vital status scan, with a dead status or alive but unknown state status (-1). See documentation\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 with status %d. Potential bias if other individuals are still alive on this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictitious wave at the date of last vital status scan, with a dead status. See documentation\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 ); |
| 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. Please add a new fictive wave at the date of last vital status scan, with a dead status or alive but unknown state status (-1). See documentation\n\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 with status %d. Potential bias if other individuals are still alive on this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictitious wave at the date of last vital status scan, with a dead status. See documentation\n\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{ /* if date of interview is unknown */ |
}else{ /* if date of interview is unknown */ |
| /* 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 with status %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], s[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 with status %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], s[m][i], i,m ); |
| } |
} |
| } /* end if date of death is known */ |
} /* end if date of death is known */ |
| #endif |
#endif |
| wav[i]=mi; /* mi should be the last effective wave (or mli) */ |
wav[i]=mi; /* mi should be the last effective wave (or mli), */ |
| /* wav[i]=mw[mi][i]; */ |
/* wav[i]=mw[mi][i]; */ |
| if(mi==0){ |
if(mi==0){ |
| nbwarn++; |
nbwarn++; |
| if(first==0){ |
if(first==0){ |
|
Line 5277 void concatwav(int wav[], int **dh, int
|
Line 5424 void concatwav(int wav[], int **dh, int
|
| } /* End individuals */ |
} /* End individuals */ |
| /* wav and mw are no more changed */ |
/* wav and mw are no more changed */ |
| |
|
| |
printf("Information, you have to check %d informations which haven't been logged!\n",firsthree); |
| |
fprintf(ficlog,"Information, you have to check %d informations which haven't been logged!\n",firsthree); |
| |
|
| |
|
| for(i=1; i<=imx; i++){ |
for(i=1; i<=imx; i++){ |
| for(mi=1; mi<wav[i];mi++){ |
for(mi=1; mi<wav[i];mi++){ |
| if (stepm <=0) |
if (stepm <=0) |
|
Line 5398 void concatwav(int wav[], int **dh, int
|
Line 5548 void concatwav(int wav[], int **dh, int
|
| if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */ |
if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */ |
| switch(Fixed[k]) { |
switch(Fixed[k]) { |
| case 0: /* Testing on fixed dummy covariate, simple or product of fixed */ |
case 0: /* Testing on fixed dummy covariate, simple or product of fixed */ |
| |
modmaxcovj=0; |
| |
modmincovj=0; |
| for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the modality of this covariate Vj*/ |
for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the modality of this covariate Vj*/ |
| ij=(int)(covar[Tvar[k]][i]); |
ij=(int)(covar[Tvar[k]][i]); |
| /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i |
/* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i |
|
Line 5411 void concatwav(int wav[], int **dh, int
|
Line 5563 void concatwav(int wav[], int **dh, int
|
| else if (ij < modmincovj) |
else if (ij < modmincovj) |
| modmincovj=ij; |
modmincovj=ij; |
| if (ij <0 || ij >1 ){ |
if (ij <0 || ij >1 ){ |
| printf("Information, IMaCh doesn't treat covariate with missing values (-1), individual %d will be skipped.\n",i); |
printf("ERROR, IMaCh doesn't treat covariate with missing values V%d=-1, individual %d will be skipped.\n",Tvar[k],i); |
| fprintf(ficlog,"Information, currently IMaCh doesn't treat covariate with missing values (-1), individual %d will be skipped.\n",i); |
fprintf(ficlog,"ERROR, currently IMaCh doesn't treat covariate with missing values V%d=-1, individual %d will be skipped.\n",Tvar[k],i); |
| |
fflush(ficlog); |
| |
exit(1); |
| } |
} |
| if ((ij < -1) || (ij > NCOVMAX)){ |
if ((ij < -1) || (ij > NCOVMAX)){ |
| printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); |
printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); |
|
Line 5487 void concatwav(int wav[], int **dh, int
|
Line 5641 void concatwav(int wav[], int **dh, int
|
| break; |
break; |
| } /* end switch */ |
} /* end switch */ |
| } /* end dummy test */ |
} /* end dummy test */ |
| |
if(Dummy[k]==1 && Typevar[k] !=1){ /* Dummy covariate and not age product */ |
| |
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(isnan(covar[Tvar[k]][i])){ |
| |
printf("ERROR, IMaCh doesn't treat fixed quantitative covariate with missing values V%d=., individual %d will be skipped.\n",Tvar[k],i); |
| |
fprintf(ficlog,"ERROR, currently IMaCh doesn't treat covariate with missing values V%d=., individual %d will be skipped.\n",Tvar[k],i); |
| |
fflush(ficlog); |
| |
exit(1); |
| |
} |
| |
} |
| |
} |
| } /* end of loop on model-covariate k. nbcode[Tvark][1]=-1, nbcode[Tvark][1]=0 and nbcode[Tvark][2]=1 sets the value of covariate k*/ |
} /* end of loop on model-covariate k. nbcode[Tvark][1]=-1, nbcode[Tvark][1]=0 and nbcode[Tvark][2]=1 sets the value of covariate k*/ |
| |
|
| for (k=-1; k< maxncov; k++) Ndum[k]=0; |
for (k=-1; k< maxncov; k++) Ndum[k]=0; |
|
Line 6009 void concatwav(int wav[], int **dh, int
|
Line 6173 void concatwav(int wav[], int **dh, int
|
| prlim[i][i]=mobaverage[(int)age][i][ij]; |
prlim[i][i]=mobaverage[(int)age][i][ij]; |
| } |
} |
| } |
} |
| /**< Computes the shifted transition matrix \f$ {}{h}_p^{ij}_x\f$ at horizon h. |
/**< Computes the shifted transition matrix \f$ {}{h}_p^{ij}x\f$ at horizon h. |
| */ |
*/ |
| hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij,nres); /* Returns p3mat[i][j][h] for h=0 to nhstepm */ |
hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij,nres); /* Returns p3mat[i][j][h] for h=0 to nhstepm */ |
| /**< And for each alive state j, sums over i \f$ w^i_x {}{h}_p^{ij}x\f$, which are the probability |
/**< And for each alive state j, sums over i \f$ w^i_x {}{h}_p^{ij}x\f$, which are the probability |
|
Line 6802 To be simple, these graphs help to under
|
Line 6966 To be simple, these graphs help to under
|
| void printinghtml(char fileresu[], char title[], char datafile[], int firstpass, \ |
void printinghtml(char fileresu[], char title[], char datafile[], int firstpass, \ |
| int lastpass, int stepm, int weightopt, char model[],\ |
int lastpass, int stepm, int weightopt, char model[],\ |
| int imx,int jmin, int jmax, double jmeanint,char rfileres[],\ |
int imx,int jmin, int jmax, double jmeanint,char rfileres[],\ |
| int popforecast, int mobilav, int prevfcast, int mobilavproj, int backcast, int estepm , \ |
int popforecast, int mobilav, int prevfcast, int mobilavproj, int prevbcast, int estepm , \ |
| double jprev1, double mprev1,double anprev1, double dateprev1, double dateproj1, double dateback1, \ |
double jprev1, double mprev1,double anprev1, double dateprev1, double dateprojd, double dateback1, \ |
| double jprev2, double mprev2,double anprev2, double dateprev2, double dateproj2, double dateback2){ |
double jprev2, double mprev2,double anprev2, double dateprev2, double dateprojf, double dateback2){ |
| int jj1, k1, i1, cpt, k4, nres; |
int jj1, k1, i1, cpt, k4, nres; |
| |
|
| fprintf(fichtm,"<ul><li><a href='#firstorder'>Result files (first order: no variance)</a>\n \ |
fprintf(fichtm,"<ul><li><a href='#firstorder'>Result files (first order: no variance)</a>\n \ |
|
Line 6844 void printinghtml(char fileresu[], char
|
Line 7008 void printinghtml(char fileresu[], char
|
| m=pow(2,cptcoveff); |
m=pow(2,cptcoveff); |
| if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
| |
|
| fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>"); |
fprintf(fichtm," \n<ul><li><b>Graphs (first order)</b></li><p>"); |
| |
|
| jj1=0; |
jj1=0; |
| |
|
|
Line 6879 void printinghtml(char fileresu[], char
|
Line 7043 void printinghtml(char fileresu[], char
|
| fprintf(fichtm,"</a></li>"); |
fprintf(fichtm,"</a></li>"); |
| } /* cptcovn >0 */ |
} /* cptcovn >0 */ |
| } |
} |
| fprintf(fichtm," \n</ul>"); |
fprintf(fichtm," \n</ul>"); |
| |
|
| jj1=0; |
jj1=0; |
| |
|
|
Line 6948 divided by h: <sub>h</sub>P<sub>ij</sub>
|
Line 7112 divided by h: <sub>h</sub>P<sub>ij</sub>
|
| fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability for a person being in state (1 to %d) at different ages, to be in state %d some years after. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability for a person being in state (1 to %d) at different ages, to be in state %d some years after. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
| <img src=\"%s_%d-%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
<img src=\"%s_%d-%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
| } |
} |
| if(backcast==1){ |
if(prevbcast==1){ |
| /* Backward prevalence in each health state */ |
/* Backward prevalence in each health state */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Convergence to mixed (stable) back prevalence in state %d. Or probability for a person to be in state %d at a younger age, knowing that she/he was in state (1 to %d) at different older ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Convergence to mixed (stable) back prevalence in state %d. Or probability for a person to be in state %d at a younger age, knowing that she/he was in state (1 to %d) at different older ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
|
Line 6958 divided by h: <sub>h</sub>P<sub>ij</sub>
|
Line 7122 divided by h: <sub>h</sub>P<sub>ij</sub>
|
| if(prevfcast==1){ |
if(prevfcast==1){ |
| /* Projection of prevalence up to period (forward stable) prevalence in each health state */ |
/* Projection of prevalence up to period (forward stable) prevalence in each health state */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), from year %.1f up to year %.1f tending to period (stable) forward prevalence in state %d. Or probability to be in state %d being in an observed weighted state (from 1 to %d). <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), from year %.1f up to year %.1f tending to period (stable) forward prevalence in state %d. Or probability to be in state %d being in an observed weighted state (from 1 to %d). <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a>", dateprev1, dateprev2, mobilavproj, dateprojd, dateprojf, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres); |
| <img src=\"%s_%d-%d-%d.svg\">", dateprev1, dateprev2, mobilavproj, dateproj1, dateproj2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"F_"),subdirf2(optionfilefiname,"F_")); |
| |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">", |
| |
subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres); |
| } |
} |
| } |
} |
| if(backcast==1){ |
if(prevbcast==1){ |
| /* Back projection of prevalence up to stable (mixed) back-prevalence in each health state */ |
/* Back projection of prevalence up to stable (mixed) back-prevalence in each health state */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Back projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), \ |
fprintf(fichtm,"<br>\n- Back projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), \ |
| from year %.1f up to year %.1f (probably close to stable [mixed] back prevalence in state %d (randomness in cross-sectional prevalence is not taken into \ |
from year %.1f up to year %.1f (probably close to stable [mixed] back prevalence in state %d (randomness in cross-sectional prevalence is not taken into \ |
| account but can visually be appreciated). Or probability to have been in an state %d, knowing that the person was in either state (1 or %d) \ |
account but can visually be appreciated). Or probability to have been in an state %d, knowing that the person was in either state (1 or %d) \ |
| with weights corresponding to observed prevalence at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
with weights corresponding to observed prevalence at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a>", dateprev1, dateprev2, mobilavproj, dateback1, dateback2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres); |
| <img src=\"%s_%d-%d-%d.svg\">", dateprev1, dateprev2, mobilavproj, dateback1, dateback2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"FB_"),subdirf2(optionfilefiname,"FB_")); |
| |
fprintf(fichtm," <img src=\"%s_%d-%d-%d.svg\">", subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres); |
| } |
} |
| } |
} |
| |
|
| for(cpt=1; cpt<=nlstate;cpt++) { |
for(cpt=1; cpt<=nlstate;cpt++) { |
| fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a> <br> \ |
fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a>",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres); |
| <img src=\"%s_%d-%d-%d.svg\">",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\"> %s.txt</a>)\n<br>",subdirf2(optionfilefiname,"E_"),subdirf2(optionfilefiname,"E_")); |
| |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">", subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres ); |
| } |
} |
| /* } /\* end i1 *\/ */ |
/* } /\* end i1 *\/ */ |
| }/* End k1 */ |
}/* End k1 */ |
|
Line 7027 See page 'Matrix of variance-covariance
|
Line 7195 See page 'Matrix of variance-covariance
|
| /* else */ |
/* else */ |
| /* fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */ |
/* fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */ |
| fflush(fichtm); |
fflush(fichtm); |
| fprintf(fichtm," <ul><li><b>Graphs</b></li><p>"); |
|
| |
|
| m=pow(2,cptcoveff); |
m=pow(2,cptcoveff); |
| if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
| |
|
| |
fprintf(fichtm," <ul><li><b>Graphs (second order)</b></li><p>"); |
| |
|
| |
jj1=0; |
| |
|
| |
fprintf(fichtm," \n<ul>"); |
| |
for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
| |
for(k1=1; k1<=m;k1++){ /* For each combination of covariate */ |
| |
if(m != 1 && TKresult[nres]!= k1) |
| |
continue; |
| |
jj1++; |
| |
if (cptcovn > 0) { |
| |
fprintf(fichtm,"\n<li><a size=\"1\" color=\"#EC5E5E\" href=\"#rescovsecond"); |
| |
for (cpt=1; cpt<=cptcoveff;cpt++){ |
| |
fprintf(fichtm,"_V%d=%d_",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); |
| |
} |
| |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
| |
fprintf(fichtm,"_V%d=%f_",Tvqresult[nres][k4],Tqresult[nres][k4]); |
| |
} |
| |
fprintf(fichtm,"\">"); |
| |
|
| |
/* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
| |
fprintf(fichtm,"************ Results for covariates"); |
| |
for (cpt=1; cpt<=cptcoveff;cpt++){ |
| |
fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); |
| |
} |
| |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
| |
fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
| |
} |
| |
if(invalidvarcomb[k1]){ |
| |
fprintf(fichtm," Warning Combination (%d) ignored because no cases ",k1); |
| |
continue; |
| |
} |
| |
fprintf(fichtm,"</a></li>"); |
| |
} /* cptcovn >0 */ |
| |
} |
| |
fprintf(fichtm," \n</ul>"); |
| |
|
| jj1=0; |
jj1=0; |
| |
|
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
|
Line 7041 See page 'Matrix of variance-covariance
|
Line 7245 See page 'Matrix of variance-covariance
|
| /* for(i1=1; i1<=ncodemax[k1];i1++){ */ |
/* for(i1=1; i1<=ncodemax[k1];i1++){ */ |
| jj1++; |
jj1++; |
| if (cptcovn > 0) { |
if (cptcovn > 0) { |
| |
fprintf(fichtm,"\n<p><a name=\"rescovsecond"); |
| |
for (cpt=1; cpt<=cptcoveff;cpt++){ |
| |
fprintf(fichtm,"_V%d=%d_",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); |
| |
} |
| |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
| |
fprintf(fichtm,"_V%d=%f_",Tvqresult[nres][k4],Tqresult[nres][k4]); |
| |
} |
| |
fprintf(fichtm,"\"</a>"); |
| |
|
| fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
| for (cpt=1; cpt<=cptcoveff;cpt++) /**< cptcoveff number of variables */ |
for (cpt=1; cpt<=cptcoveff;cpt++){ /**< cptcoveff number of variables */ |
| fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]); |
fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]); |
| |
printf(" V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]);fflush(stdout); |
| /* 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)]); */ |
| |
} |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
| fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
| } |
} |
|
Line 7058 See page 'Matrix of variance-covariance
|
Line 7273 See page 'Matrix of variance-covariance
|
| } |
} |
| for(cpt=1; cpt<=nlstate;cpt++) { |
for(cpt=1; cpt<=nlstate;cpt++) { |
| fprintf(fichtm,"\n<br>- Observed (cross-sectional with mov_average=%d) and period (incidence based) \ |
fprintf(fichtm,"\n<br>- Observed (cross-sectional with mov_average=%d) and period (incidence based) \ |
| prevalence (with 95%% confidence interval) in state (%d): <a href=\"%s_%d-%d-%d.svg\"> %s_%d-%d-%d.svg</a>\n <br>\ |
prevalence (with 95%% confidence interval) in state (%d): <a href=\"%s_%d-%d-%d.svg\"> %s_%d-%d-%d.svg</a>",mobilav,cpt,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres); |
| <img src=\"%s_%d-%d-%d.svg\">",mobilav,cpt,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s\">%s</a>)\n <br>",subdirf2(fileresu,"VPL_"),subdirf2(fileresu,"VPL_")); |
| |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">",subdirf2(optionfilefiname,"V_"), cpt,k1,nres); |
| } |
} |
| fprintf(fichtm,"\n<br>- Total life expectancy by age and \ |
fprintf(fichtm,"\n<br>- Total life expectancy by age and \ |
| health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \ |
health expectancies in each live states (1 to %d). If popbased=1 the smooth (due to the model) \ |
| true period expectancies (those weighted with period prevalences are also\ |
true period expectancies (those weighted with period prevalences are also\ |
| drawn in addition to the population based expectancies computed using\ |
drawn in addition to the population based expectancies computed using\ |
| observed and cahotic prevalences: <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a>\n<br>\ |
observed and cahotic prevalences: <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a>",nlstate, subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres); |
| <img src=\"%s_%d-%d.svg\">",subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>) \n<br>",subdirf2(optionfilefiname,"T_"),subdirf2(optionfilefiname,"T_")); |
| |
fprintf(fichtm,"<img src=\"%s_%d-%d.svg\">",subdirf2(optionfilefiname,"E_"),k1,nres); |
| /* } /\* end i1 *\/ */ |
/* } /\* end i1 *\/ */ |
| }/* End k1 */ |
}/* End k1 */ |
| }/* End nres */ |
}/* End nres */ |
|
Line 7075 true period expectancies (those weighted
|
Line 7292 true period expectancies (those weighted
|
| } |
} |
| |
|
| /******************* Gnuplot file **************/ |
/******************* Gnuplot file **************/ |
| void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double bage, double fage , int prevfcast, int backcast, char pathc[], double p[], int offyear, int offbyear){ |
void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double bage, double fage , int prevfcast, int prevbcast, char pathc[], double p[], int offyear, int offbyear){ |
| |
|
| char dirfileres[132],optfileres[132]; |
char dirfileres[132],optfileres[132]; |
| char gplotcondition[132], gplotlabel[132]; |
char gplotcondition[132], gplotlabel[132]; |
|
Line 7229 void printinggnuplot(char fileresu[], ch
|
Line 7446 void printinggnuplot(char fileresu[], ch
|
| } /* end covariate */ |
} /* end covariate */ |
| } /* end if no covariate */ |
} /* end if no covariate */ |
| |
|
| if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */ |
if(prevbcast==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, nres in 2 to be fixed */ |
fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1, nres in 2 to be fixed */ |
| if(cptcoveff ==0){ |
if(cptcoveff ==0){ |
|
Line 7256 void printinggnuplot(char fileresu[], ch
|
Line 7473 void printinggnuplot(char fileresu[], ch
|
| } |
} |
| } /* end covariate */ |
} /* end covariate */ |
| } /* end if no covariate */ |
} /* end if no covariate */ |
| if(backcast == 1){ |
if(prevbcast == 1){ |
| fprintf(ficgp,", \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",subdirf2(fileresu,"VBL_"),nres-1,nres-1,nres); |
fprintf(ficgp,", \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",subdirf2(fileresu,"VBL_"),nres-1,nres-1,nres); |
| /* k1-1 error should be nres-1*/ |
/* k1-1 error should be nres-1*/ |
| for (i=1; i<= nlstate ; i ++) { |
for (i=1; i<= nlstate ; i ++) { |
|
Line 7275 void printinggnuplot(char fileresu[], ch
|
Line 7492 void printinggnuplot(char fileresu[], ch
|
| } |
} |
| fprintf(ficgp,"\" t\"\" w l lt 4"); |
fprintf(ficgp,"\" t\"\" w l lt 4"); |
| } /* end if backprojcast */ |
} /* end if backprojcast */ |
| } /* end if backcast */ |
} /* end if prevbcast */ |
| /* fprintf(ficgp,"\nset out ;unset label;\n"); */ |
/* fprintf(ficgp,"\nset out ;unset label;\n"); */ |
| fprintf(ficgp,"\nset out ;unset title;\n"); |
fprintf(ficgp,"\nset out ;unset title;\n"); |
| } /* nres */ |
} /* nres */ |
|
Line 7563 set ter svg size 640, 480\nunset log y\n
|
Line 7780 set ter svg size 640, 480\nunset log y\n
|
| |
|
| |
|
| /* 7eme */ |
/* 7eme */ |
| if(backcast == 1){ |
if(prevbcast == 1){ |
| /* CV backward prevalence for each covariate */ |
/* CV backward prevalence for each covariate */ |
| for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ |
for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
|
Line 7615 set ter svg size 640, 480\nunset log y\n
|
Line 7832 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficgp,"\nset out; unset label;\n"); |
fprintf(ficgp,"\nset out; unset label;\n"); |
| } /* end cpt state*/ |
} /* end cpt state*/ |
| } /* end covariate */ |
} /* end covariate */ |
| } /* End if backcast */ |
} /* End if prevbcast */ |
| |
|
| /* 8eme */ |
/* 8eme */ |
| if(prevfcast==1){ |
if(prevfcast==1){ |
|
Line 7731 set ter svg size 640, 480\nunset log y\n
|
Line 7948 set ter svg size 640, 480\nunset log y\n
|
| } /* end covariate */ |
} /* end covariate */ |
| } /* End if prevfcast */ |
} /* End if prevfcast */ |
| |
|
| if(backcast==1){ |
if(prevbcast==1){ |
| /* Back projection from cross-sectional to stable (mixed) for each covariate */ |
/* Back projection from cross-sectional to stable (mixed) for each covariate */ |
| |
|
| for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ |
for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ |
|
Line 7844 set ter svg size 640, 480\nunset log y\n
|
Line 8061 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficgp,"\nset out; unset label;\n"); |
fprintf(ficgp,"\nset out; unset label;\n"); |
| } /* end cpt state*/ |
} /* end cpt state*/ |
| } /* end covariate */ |
} /* end covariate */ |
| } /* End if backcast */ |
} /* End if prevbcast */ |
| |
|
| |
|
| /* 9eme writing MLE parameters */ |
/* 9eme writing MLE parameters */ |
|
Line 8292 set ter svg size 640, 480\nunset log y\n
|
Line 8509 set ter svg size 640, 480\nunset log y\n
|
| }/* End movingaverage */ |
}/* End movingaverage */ |
| |
|
| |
|
| |
|
| /************** Forecasting ******************/ |
/************** Forecasting ******************/ |
| void prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double ***prev, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){ |
/* void prevforecast(char fileres[], double dateintmean, double anprojd, double mprojd, double jprojd, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double ***prev, double bage, double fage, int firstpass, int lastpass, double anprojf, double p[], int cptcoveff)*/ |
| /* proj1, year, month, day of starting projection |
void prevforecast(char fileres[], double dateintmean, double dateprojd, double dateprojf, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double ***prev, double bage, double fage, int firstpass, int lastpass, double p[], int cptcoveff){ |
| |
/* dateintemean, mean date of interviews |
| |
dateprojd, year, month, day of starting projection |
| |
dateprojf date of end of projection;year of end of projection (same day and month as proj1). |
| 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 |
| anproj2 year of en of projection (same day and month as proj1). |
|
| */ |
*/ |
| |
/* double anprojd, mprojd, jprojd; */ |
| |
/* double anprojf, mprojf, jprojf; */ |
| int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1, k4, nres=0; |
int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1, k4, nres=0; |
| double agec; /* generic age */ |
double agec; /* generic age */ |
| double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean; |
double agelim, ppij, yp,yp1,yp2; |
| double *popeffectif,*popcount; |
double *popeffectif,*popcount; |
| double ***p3mat; |
double ***p3mat; |
| /* double ***mobaverage; */ |
/* double ***mobaverage; */ |
|
Line 8338 set ter svg size 640, 480\nunset log y\n
|
Line 8560 set ter svg size 640, 480\nunset log y\n
|
| if(estepm > stepm){ /* Yes every two year */ |
if(estepm > stepm){ /* Yes every two year */ |
| stepsize=2; |
stepsize=2; |
| } |
} |
| |
hstepm=hstepm/stepm; |
| |
|
| hstepm=hstepm/stepm; |
|
| yp1=modf(dateintmean,&yp);/* extracts integral of datemean in yp and |
/* yp1=modf(dateintmean,&yp);/\* extracts integral of datemean in yp and */ |
| fractional in yp1 */ |
/* fractional in yp1 *\/ */ |
| anprojmean=yp; |
/* aintmean=yp; */ |
| yp2=modf((yp1*12),&yp); |
/* yp2=modf((yp1*12),&yp); */ |
| mprojmean=yp; |
/* mintmean=yp; */ |
| yp1=modf((yp2*30.5),&yp); |
/* yp1=modf((yp2*30.5),&yp); */ |
| jprojmean=yp; |
/* jintmean=yp; */ |
| if(jprojmean==0) jprojmean=1; |
/* if(jintmean==0) jintmean=1; */ |
| if(mprojmean==0) jprojmean=1; |
/* if(mintmean==0) mintmean=1; */ |
| |
|
| |
|
| |
/* date2dmy(dateintmean,&jintmean,&mintmean,&aintmean); */ |
| |
/* date2dmy(dateprojd,&jprojd, &mprojd, &anprojd); */ |
| |
/* date2dmy(dateprojf,&jprojf, &mprojf, &anprojf); */ |
| i1=pow(2,cptcoveff); |
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",jintmean,mintmean,aintmean,dateintmean,dateprev1,dateprev2); |
| |
|
| fprintf(ficresf,"#****** Routine prevforecast **\n"); |
fprintf(ficresf,"#****** Routine prevforecast **\n"); |
| |
|
|
Line 8379 set ter svg size 640, 480\nunset log y\n
|
Line 8606 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficresf," p%d%d",i,j); |
fprintf(ficresf," p%d%d",i,j); |
| fprintf(ficresf," wp.%d",j); |
fprintf(ficresf," wp.%d",j); |
| } |
} |
| for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { |
for (yearp=0; yearp<=(anprojf-anprojd);yearp +=stepsize) { |
| fprintf(ficresf,"\n"); |
fprintf(ficresf,"\n"); |
| fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp); |
fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jprojd,mprojd,anprojd+yearp); |
| /* for (agec=fage; agec>=(ageminpar-1); agec--){ */ |
/* for (agec=fage; agec>=(ageminpar-1); agec--){ */ |
| for (agec=fage; agec>=(bage); agec--){ |
for (agec=fage; agec>=(bage); agec--){ |
| nhstepm=(int) rint((agelim-agec)*YEARM/stepm); |
nhstepm=(int) rint((agelim-agec)*YEARM/stepm); |
|
Line 8399 set ter svg size 640, 480\nunset log y\n
|
Line 8626 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficresf,"\n"); |
fprintf(ficresf,"\n"); |
| for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm); |
fprintf(ficresf,"%.f %.f ",anprojd+yearp,agec+h*hstepm/YEARM*stepm); |
| |
|
| for(j=1; j<=nlstate+ndeath;j++) { |
for(j=1; j<=nlstate+ndeath;j++) { |
| ppij=0.; |
ppij=0.; |
|
Line 8427 set ter svg size 640, 480\nunset log y\n
|
Line 8654 set ter svg size 640, 480\nunset log y\n
|
| } |
} |
| |
|
| /************** Back Forecasting ******************/ |
/************** Back Forecasting ******************/ |
| void prevbackforecast(char fileres[], double ***prevacurrent, 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){ |
/* void prevbackforecast(char fileres[], double ***prevacurrent, 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 |
void prevbackforecast(char fileres[], double ***prevacurrent, double dateintmean, double dateprojd, double dateprojf, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double p[], int cptcoveff){ |
| |
/* back1, year, month, day of starting backprojection |
| 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 |
| anback2 year of end of backprojection (same day and month as back1). |
anback2 year of end of backprojection (same day and month as back1). |
|
Line 8436 set ter svg size 640, 480\nunset log y\n
|
Line 8664 set ter svg size 640, 480\nunset log y\n
|
| */ |
*/ |
| int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1, k4, nres=0; |
int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1, k4, nres=0; |
| double agec; /* generic age */ |
double agec; /* generic age */ |
| double agelim, ppij, ppi, yp,yp1,yp2,jprojmean,mprojmean,anprojmean; |
double agelim, ppij, ppi, yp,yp1,yp2; /* ,jintmean,mintmean,aintmean;*/ |
| double *popeffectif,*popcount; |
double *popeffectif,*popcount; |
| double ***p3mat; |
double ***p3mat; |
| /* double ***mobaverage; */ |
/* double ***mobaverage; */ |
|
Line 8479 set ter svg size 640, 480\nunset log y\n
|
Line 8707 set ter svg size 640, 480\nunset log y\n
|
| } |
} |
| |
|
| hstepm=hstepm/stepm; |
hstepm=hstepm/stepm; |
| yp1=modf(dateintmean,&yp);/* extracts integral of datemean in yp and |
/* yp1=modf(dateintmean,&yp);/\* extracts integral of datemean in yp and */ |
| fractional in yp1 */ |
/* fractional in yp1 *\/ */ |
| anprojmean=yp; |
/* aintmean=yp; */ |
| yp2=modf((yp1*12),&yp); |
/* yp2=modf((yp1*12),&yp); */ |
| mprojmean=yp; |
/* mintmean=yp; */ |
| yp1=modf((yp2*30.5),&yp); |
/* yp1=modf((yp2*30.5),&yp); */ |
| jprojmean=yp; |
/* jintmean=yp; */ |
| if(jprojmean==0) jprojmean=1; |
/* if(jintmean==0) jintmean=1; */ |
| if(mprojmean==0) jprojmean=1; |
/* if(mintmean==0) jintmean=1; */ |
| |
|
| i1=pow(2,cptcoveff); |
i1=pow(2,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",jintmean,mintmean,aintmean,dateintmean,dateprev1,dateprev2); |
| printf("# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); |
printf("# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jintmean,mintmean,aintmean,dateintmean,dateprev1,dateprev2); |
| |
|
| fprintf(ficresfb,"#****** Routine prevbackforecast **\n"); |
fprintf(ficresfb,"#****** Routine prevbackforecast **\n"); |
| |
|
|
Line 8518 set ter svg size 640, 480\nunset log y\n
|
Line 8746 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficresfb," b%d%d",i,j); |
fprintf(ficresfb," b%d%d",i,j); |
| fprintf(ficresfb," b.%d",j); |
fprintf(ficresfb," b.%d",j); |
| } |
} |
| for (yearp=0; yearp>=(anback2-anback1);yearp -=stepsize) { |
for (yearp=0; yearp>=(anbackf-anbackd);yearp -=stepsize) { |
| /* for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { */ |
/* for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { */ |
| fprintf(ficresfb,"\n"); |
fprintf(ficresfb,"\n"); |
| fprintf(ficresfb,"\n# Back Forecasting at date %.lf/%.lf/%.lf ",jback1,mback1,anback1+yearp); |
fprintf(ficresfb,"\n# Back Forecasting at date %.lf/%.lf/%.lf ",jbackd,mbackd,anbackd+yearp); |
| /* printf("\n# Back Forecasting at date %.lf/%.lf/%.lf ",jback1,mback1,anback1+yearp); */ |
/* printf("\n# Back Forecasting at date %.lf/%.lf/%.lf ",jback1,mback1,anback1+yearp); */ |
| /* for (agec=bage; agec<=agemax-1; agec++){ /\* testing *\/ */ |
/* for (agec=bage; agec<=agemax-1; agec++){ /\* testing *\/ */ |
| for (agec=bage; agec<=fage; agec++){ /* testing */ |
for (agec=bage; agec<=fage; agec++){ /* testing */ |
|
Line 8544 set ter svg size 640, 480\nunset log y\n
|
Line 8772 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficresfb,"\n"); |
fprintf(ficresfb,"\n"); |
| for(j=1;j<=cptcoveff;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 ",anbackd+yearp,agec-h*hstepm/YEARM*stepm); |
| for(i=1; i<=nlstate+ndeath;i++) { |
for(i=1; i<=nlstate+ndeath;i++) { |
| ppij=0.;ppi=0.; |
ppij=0.;ppi=0.; |
| for(j=1; j<=nlstate;j++) { |
for(j=1; j<=nlstate;j++) { |
|
Line 8992 void prwizard(int ncovmodel, int nlstate
|
Line 9220 void prwizard(int ncovmodel, int nlstate
|
| /******************* Gompertz Likelihood ******************************/ |
/******************* Gompertz Likelihood ******************************/ |
| double gompertz(double x[]) |
double gompertz(double x[]) |
| { |
{ |
| double A,B,L=0.0,sump=0.,num=0.; |
double A=0.0,B=0.,L=0.0,sump=0.,num=0.; |
| int i,n=0; /* n is the size of the sample */ |
int i,n=0; /* n is the size of the sample */ |
| |
|
| for (i=1;i<=imx ; i++) { |
for (i=1;i<=imx ; i++) { |
|
Line 9000 double gompertz(double x[])
|
Line 9228 double gompertz(double x[])
|
| /* sump=sump+1;*/ |
/* sump=sump+1;*/ |
| num=num+1; |
num=num+1; |
| } |
} |
| |
L=0.0; |
| |
/* agegomp=AGEGOMP; */ |
| /* for (i=0; i<=imx; i++) |
/* for (i=0; i<=imx; i++) |
| if (wav[i]>0) printf("i=%d ageex=%lf agecens=%lf agedc=%lf cens=%d %d\n" ,i,ageexmed[i],agecens[i],agedc[i],cens[i],wav[i]);*/ |
if (wav[i]>0) printf("i=%d ageex=%lf agecens=%lf agedc=%lf cens=%d %d\n" ,i,ageexmed[i],agecens[i],agedc[i],cens[i],wav[i]);*/ |
| |
|
| for (i=1;i<=imx ; i++) |
for (i=1;i<=imx ; i++) { |
| { |
/* mu(a)=mu(agecomp)*exp(teta*(age-agegomp)) |
| if (cens[i] == 1 && wav[i]>1) |
mu(a)=x[1]*exp(x[2]*(age-agegomp)); x[1] and x[2] are per year. |
| A=-x[1]/(x[2])*(exp(x[2]*(agecens[i]-agegomp))-exp(x[2]*(ageexmed[i]-agegomp))); |
* L= Product mu(agedeces)exp(-\int_ageexam^agedc mu(u) du ) for a death between agedc (in month) |
| |
* and agedc +1 month, cens[i]=0: log(x[1]/YEARM) |
| if (cens[i] == 0 && wav[i]>1) |
* + |
| |
* exp(-\int_ageexam^agecens mu(u) du ) when censored, cens[i]=1 |
| |
*/ |
| |
if (wav[i] > 1 || agedc[i] < AGESUP) { |
| |
if (cens[i] == 1){ |
| |
A=-x[1]/(x[2])*(exp(x[2]*(agecens[i]-agegomp))-exp(x[2]*(ageexmed[i]-agegomp))); |
| |
} else if (cens[i] == 0){ |
| A=-x[1]/(x[2])*(exp(x[2]*(agedc[i]-agegomp))-exp(x[2]*(ageexmed[i]-agegomp))) |
A=-x[1]/(x[2])*(exp(x[2]*(agedc[i]-agegomp))-exp(x[2]*(ageexmed[i]-agegomp))) |
| +log(x[1]/YEARM)+x[2]*(agedc[i]-agegomp)+log(YEARM); |
+log(x[1]/YEARM) +x[2]*(agedc[i]-agegomp)+log(YEARM); |
| |
} else |
| |
printf("Gompertz cens[%d] neither 1 nor 0\n",i); |
| /*if (wav[i] > 1 && agecens[i] > 15) {*/ /* ??? */ |
/*if (wav[i] > 1 && agecens[i] > 15) {*/ /* ??? */ |
| if (wav[i] > 1 ) { /* ??? */ |
L=L+A*weight[i]; |
| L=L+A*weight[i]; |
|
| /* printf("\ni=%d A=%f L=%lf x[1]=%lf x[2]=%lf ageex=%lf agecens=%lf cens=%d agedc=%lf weight=%lf\n",i,A,L,x[1],x[2],ageexmed[i]*12,agecens[i]*12,cens[i],agedc[i]*12,weight[i]);*/ |
/* printf("\ni=%d A=%f L=%lf x[1]=%lf x[2]=%lf ageex=%lf agecens=%lf cens=%d agedc=%lf weight=%lf\n",i,A,L,x[1],x[2],ageexmed[i]*12,agecens[i]*12,cens[i],agedc[i]*12,weight[i]);*/ |
| } |
} |
| } |
} |
| |
|
| /*printf("x1=%2.9f x2=%2.9f x3=%2.9f L=%f\n",x[1],x[2],x[3],L);*/ |
/*printf("x1=%2.9f x2=%2.9f x3=%2.9f L=%f\n",x[1],x[2],x[3],L);*/ |
| |
|
| return -2*L*num/sump; |
return -2*L*num/sump; |
| } |
} |
|
Line 9030 double gompertz(double x[])
|
Line 9264 double gompertz(double x[])
|
| /******************* Gompertz_f Likelihood ******************************/ |
/******************* Gompertz_f Likelihood ******************************/ |
| double gompertz_f(const gsl_vector *v, void *params) |
double gompertz_f(const gsl_vector *v, void *params) |
| { |
{ |
| double A,B,LL=0.0,sump=0.,num=0.; |
double A=0.,B=0.,LL=0.0,sump=0.,num=0.; |
| double *x= (double *) v->data; |
double *x= (double *) v->data; |
| int i,n=0; /* n is the size of the sample */ |
int i,n=0; /* n is the size of the sample */ |
| |
|
|
Line 9123 int readdata(char datafile[], int firsto
|
Line 9357 int readdata(char datafile[], int firsto
|
| int i=0, j=0, n=0, iv=0, v; |
int i=0, j=0, n=0, iv=0, v; |
| int lstra; |
int lstra; |
| int linei, month, year,iout; |
int linei, month, year,iout; |
| |
int noffset=0; /* This is the offset if BOM data file */ |
| char line[MAXLINE], linetmp[MAXLINE]; |
char line[MAXLINE], linetmp[MAXLINE]; |
| char stra[MAXLINE], strb[MAXLINE]; |
char stra[MAXLINE], strb[MAXLINE]; |
| char *stratrunc; |
char *stratrunc; |
|
Line 9156 int readdata(char datafile[], int firsto
|
Line 9391 int readdata(char datafile[], int firsto
|
| fprintf(ficlog,"Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(ficlog);return 1; |
fprintf(ficlog,"Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(ficlog);return 1; |
| } |
} |
| |
|
| i=1; |
/* Is it a BOM UTF-8 Windows file? */ |
| |
/* First data line */ |
| linei=0; |
linei=0; |
| |
while(fgets(line, MAXLINE, fic)) { |
| |
noffset=0; |
| |
if( line[0] == (char)0xEF && line[1] == (char)0xBB) /* EF BB BF */ |
| |
{ |
| |
noffset=noffset+3; |
| |
printf("# Data file '%s' is an UTF8 BOM file, please convert to UTF8 or ascii file and rerun.\n",datafile);fflush(stdout); |
| |
fprintf(ficlog,"# Data file '%s' is an UTF8 BOM file, please convert to UTF8 or ascii file and rerun.\n",datafile); |
| |
fflush(ficlog); return 1; |
| |
} |
| |
/* else if( line[0] == (char)0xFE && line[1] == (char)0xFF)*/ |
| |
else if( line[0] == (char)0xFF && line[1] == (char)0xFE) |
| |
{ |
| |
noffset=noffset+2; |
| |
printf("# Error Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile);fflush(stdout); |
| |
fprintf(ficlog,"# Error Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile); |
| |
fflush(ficlog); return 1; |
| |
} |
| |
else if( line[0] == 0 && line[1] == 0) |
| |
{ |
| |
if( line[2] == (char)0xFE && line[3] == (char)0xFF){ |
| |
noffset=noffset+4; |
| |
printf("# Error Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile);fflush(stdout); |
| |
fprintf(ficlog,"# Error Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile); |
| |
fflush(ficlog); return 1; |
| |
} |
| |
} else{ |
| |
;/*printf(" Not a BOM file\n");*/ |
| |
} |
| |
/* If line starts with a # it is a comment */ |
| |
if (line[noffset] == '#') { |
| |
linei=linei+1; |
| |
break; |
| |
}else{ |
| |
break; |
| |
} |
| |
} |
| |
fclose(fic); |
| |
if((fic=fopen(datafile,"r"))==NULL) { |
| |
printf("Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(stdout); |
| |
fprintf(ficlog,"Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(ficlog);return 1; |
| |
} |
| |
/* Not a Bom file */ |
| |
|
| |
i=1; |
| while ((fgets(line, MAXLINE, fic) != NULL) &&((i >= firstobs) && (i <=lastobs))) { |
while ((fgets(line, MAXLINE, fic) != NULL) &&((i >= firstobs) && (i <=lastobs))) { |
| linei=linei+1; |
linei=linei+1; |
| for(j=strlen(line); j>=0;j--){ /* Untabifies line */ |
for(j=strlen(line); j>=0;j--){ /* Untabifies line */ |
|
Line 9278 int readdata(char datafile[], int firsto
|
Line 9558 int readdata(char datafile[], int firsto
|
| return 1; |
return 1; |
| } |
} |
| anint[j][i]= (double) year; |
anint[j][i]= (double) year; |
| mint[j][i]= (double)month; |
mint[j][i]= (double)month; |
| |
/* if( (int)anint[j][i]+ (int)(mint[j][i])/12. < (int) (moisnais[i]/12.+annais[i])){ */ |
| |
/* printf("Warning reading data around '%s' at line number %d for individual %d, '%s'\nThe date of interview (%2d/%4d) at wave %d occurred before the date of birth (%2d/%4d).\n",strb, linei,i, line, mint[j][i],anint[j][i], moisnais[i],annais[i]); */ |
| |
/* fprintf(ficlog,"Warning reading data around '%s' at line number %d for individual %d, '%s'\nThe date of interview (%2d/%4d) at wave %d occurred before the date of birth (%2d/%4d).\n",strb, linei,i, line, mint[j][i],anint[j][i], moisnais[i],annais[i]); */ |
| |
/* } */ |
| strcpy(line,stra); |
strcpy(line,stra); |
| } /* End loop on waves */ |
} /* End loop on waves */ |
| |
|
|
Line 9317 int readdata(char datafile[], int firsto
|
Line 9601 int readdata(char datafile[], int firsto
|
| |
|
| } |
} |
| annais[i]=(double)(year); |
annais[i]=(double)(year); |
| moisnais[i]=(double)(month); |
moisnais[i]=(double)(month); |
| |
for (j=1;j<=maxwav;j++){ |
| |
if( (int)anint[j][i]+ (int)(mint[j][i])/12. < (int) (moisnais[i]/12.+annais[i])){ |
| |
printf("Warning reading data around '%s' at line number %d for individual %d, '%s'\nThe date of interview (%2d/%4d) at wave %d occurred before the date of birth (%2d/%4d).\n",strb, linei,i, line, (int)mint[j][i],(int)anint[j][i], j,(int)moisnais[i],(int)annais[i]); |
| |
fprintf(ficlog,"Warning reading data around '%s' at line number %d for individual %d, '%s'\nThe date of interview (%2d/%4d) at wave %d occurred before the date of birth (%2d/%4d).\n",strb, linei,i, line, (int)mint[j][i],(int)anint[j][i], j, (int)moisnais[i],(int)annais[i]); |
| |
} |
| |
} |
| |
|
| strcpy(line,stra); |
strcpy(line,stra); |
| |
|
| /* Sample weight */ |
/* Sample weight */ |
|
Line 9337 int readdata(char datafile[], int firsto
|
Line 9628 int readdata(char datafile[], int firsto
|
| cutv(stra, strb, line, ' '); |
cutv(stra, strb, line, ' '); |
| if(strb[0]=='.') { /* Missing value */ |
if(strb[0]=='.') { /* Missing value */ |
| lval=-1; |
lval=-1; |
| |
coqvar[iv][i]=NAN; |
| |
covar[ncovcol+iv][i]=NAN; /* including qvar in standard covar for performance reasons */ |
| }else{ |
}else{ |
| errno=0; |
errno=0; |
| /* what_kind_of_number(strb); */ |
/* what_kind_of_number(strb); */ |
|
Line 9440 int decoderesult ( char resultline[], in
|
Line 9733 int decoderesult ( char resultline[], in
|
| char stra[80], strb[80], strc[80], strd[80],stre[80]; |
char stra[80], strb[80], strc[80], strd[80],stre[80]; |
| |
|
| removefirstspace(&resultline); |
removefirstspace(&resultline); |
| printf("decoderesult:%s\n",resultline); |
|
| |
|
| if (strstr(resultline,"v") !=0){ |
if (strstr(resultline,"v") !=0){ |
| printf("Error. 'v' must be in upper case 'V' result: %s ",resultline); |
printf("Error. 'v' must be in upper case 'V' result: %s ",resultline); |
|
Line 9455 int decoderesult ( char resultline[], in
|
Line 9747 int decoderesult ( char resultline[], in
|
| TKresult[nres]=0; /* Combination for the nresult and the model */ |
TKresult[nres]=0; /* Combination for the nresult and the model */ |
| return (0); |
return (0); |
| } |
} |
| |
|
| if( j != cptcovs ){ /* Be careful if a variable is in a product but not single */ |
if( j != cptcovs ){ /* Be careful if a variable is in a product but not single */ |
| printf("ERROR: the number of variable in the resultline, %d, differs from the number of variable used in the model line, %d.\n",j, cptcovs); |
printf("ERROR: the number of variables in the resultline, %d, differs from the number of variables used in the model line, %d.\n",j, cptcovs); |
| fprintf(ficlog,"ERROR: the number of variable in the resultline, %d, differs from the number of variable used in the model line, %d.\n",j, cptcovs); |
fprintf(ficlog,"ERROR: the number of variables in the resultline, %d, differs from the number of variables used in the model line, %d.\n",j, cptcovs); |
| } |
} |
| for(k=1; k<=j;k++){ /* Loop on any covariate of the result line */ |
for(k=1; k<=j;k++){ /* Loop on any covariate of the result line */ |
| if(nbocc(resultsav,'=') >1){ |
if(nbocc(resultsav,'=') >1){ |
| cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' ' |
cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' ' |
| resultsav= V4=1 V5=25.1 V3=0 strb=V3=0 stra= V4=1 V5=25.1 */ |
resultsav= V4=1 V5=25.1 V3=0 stra= V5=25.1 V3=0 strb= V4=1 */ |
| cutl(strc,strd,strb,'='); /* strb:V4=1 strc=1 strd=V4 */ |
cutl(strc,strd,strb,'='); /* strb:V4=1 strc=1 strd=V4 */ |
| }else |
}else |
| cutl(strc,strd,resultsav,'='); |
cutl(strc,strd,resultsav,'='); |
|
Line 9488 int decoderesult ( char resultline[], in
|
Line 9779 int decoderesult ( char resultline[], in
|
| } |
} |
| } |
} |
| if(match == 0){ |
if(match == 0){ |
| printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model); |
printf("Error in result line: V%d is missing in result: %s according to model=%s\n",k1, resultline, model); |
| |
fprintf(ficlog,"Error in result line: V%d is missing in result: %s according to model=%s\n",k1, resultline, model); |
| |
return 1; |
| } |
} |
| } |
} |
| } |
} |
|
Line 9505 int decoderesult ( char resultline[], in
|
Line 9798 int decoderesult ( char resultline[], in
|
| } |
} |
| if(match == 0){ |
if(match == 0){ |
| printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model); |
printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model); |
| |
fprintf(ficlog,"Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model); |
| |
return 1; |
| }else if(match > 1){ |
}else if(match > 1){ |
| printf("Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model); |
printf("Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model); |
| |
fprintf(ficlog,"Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model); |
| |
return 1; |
| } |
} |
| } |
} |
| |
|
|
Line 10694 int hPijx(double *p, int bage, int fage)
|
Line 10991 int hPijx(double *p, int bage, int fage)
|
| /* for (agedeb=fage; agedeb>=bage; agedeb--){ /\* If stepm=6 months *\/ */ |
/* for (agedeb=fage; agedeb>=bage; agedeb--){ /\* If stepm=6 months *\/ */ |
| for (agedeb=bage; agedeb<=fage; agedeb++){ /* If stepm=6 months and estepm=24 (2 years) */ |
for (agedeb=bage; agedeb<=fage; agedeb++){ /* If stepm=6 months and estepm=24 (2 years) */ |
| /* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /\* Typically 20 years = 20*12/6=40 *\/ */ |
/* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /\* Typically 20 years = 20*12/6=40 *\/ */ |
| nhstepm=(int) rint((agedeb-ageminl)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ |
nhstepm=(int) rint((agedeb-ageminl)*YEARM/stepm+0.1)-1; /* Typically 20 years = 20*12/6=40 or 55*12/24=27.5-1.1=>27 */ |
| nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 */ |
nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 or 28*/ |
| |
|
| /* nhstepm=nhstepm*YEARM; aff par mois*/ |
/* nhstepm=nhstepm*YEARM; aff par mois*/ |
| |
|
|
Line 10787 int main(int argc, char *argv[])
|
Line 11084 int main(int argc, char *argv[])
|
| |
|
| int *tab; |
int *tab; |
| int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */ |
int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */ |
| /* int backcast=0; */ /* defined as global for mlikeli and mle */ |
/* double anprojd, mprojd, jprojd; /\* For eventual projections *\/ */ |
| |
/* double anprojf, mprojf, jprojf; */ |
| |
/* double jintmean,mintmean,aintmean; */ |
| |
int prvforecast = 0; /* Might be 1 (date of beginning of projection is a choice or 2 is the dateintmean */ |
| |
int prvbackcast = 0; /* Might be 1 (date of beginning of projection is a choice or 2 is the dateintmean */ |
| |
double yrfproj= 10.0; /* Number of years of forward projections */ |
| |
double yrbproj= 10.0; /* Number of years of backward projections */ |
| |
int prevbcast=0; /* defined as global for mlikeli and mle, replacing backcast */ |
| int mobilav=0,popforecast=0; |
int mobilav=0,popforecast=0; |
| int hstepm=0, nhstepm=0; |
int hstepm=0, nhstepm=0; |
| int agemortsup; |
int agemortsup; |
|
Line 10799 int main(int argc, char *argv[])
|
Line 11103 int main(int argc, char *argv[])
|
| double ftolpl=FTOL; |
double ftolpl=FTOL; |
| double **prlim; |
double **prlim; |
| double **bprlim; |
double **bprlim; |
| double ***param; /* Matrix of parameters */ |
double ***param; /* Matrix of parameters, param[i][j][k] param=ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel) |
| |
state of origin, state of destination including death, for each covariate: constante, age, and V1 V2 etc. */ |
| double ***paramstart; /* Matrix of starting parameter values */ |
double ***paramstart; /* Matrix of starting parameter values */ |
| double *p, *pstart; /* p=param[1][1] pstart is for starting values guessed by freqsummary */ |
double *p, *pstart; /* p=param[1][1] pstart is for starting values guessed by freqsummary */ |
| double **matcov; /* Matrix of covariance */ |
double **matcov; /* Matrix of covariance */ |
|
Line 10812 int main(int argc, char *argv[])
|
Line 11117 int main(int argc, char *argv[])
|
| double *epj, vepp; |
double *epj, vepp; |
| |
|
| double dateprev1, dateprev2; |
double dateprev1, dateprev2; |
| double jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000, dateproj1=0, dateproj2=0; |
double jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000, dateproj1=0, dateproj2=0, dateprojd=0, dateprojf=0; |
| double jback1=1,mback1=1,anback1=2000,jback2=1,mback2=1,anback2=2000, dateback1=0, dateback2=0; |
double jback1=1,mback1=1,anback1=2000,jback2=1,mback2=1,anback2=2000, dateback1=0, dateback2=0, datebackd=0, datebackf=0; |
| |
|
| |
|
| double **ximort; |
double **ximort; |
| char *alph[]={"a","a","b","c","d","e"}, str[4]="1234"; |
char *alph[]={"a","a","b","c","d","e"}, str[4]="1234"; |
|
Line 11008 int main(int argc, char *argv[])
|
Line 11314 int main(int argc, char *argv[])
|
| noffset=noffset+3; |
noffset=noffset+3; |
| printf("# File is an UTF8 Bom.\n"); // 0xBF |
printf("# File is an UTF8 Bom.\n"); // 0xBF |
| } |
} |
| else if( line[0] == (char)0xFE && line[1] == (char)0xFF) |
/* else if( line[0] == (char)0xFE && line[1] == (char)0xFF)*/ |
| |
else if( line[0] == (char)0xFF && line[1] == (char)0xFE) |
| { |
{ |
| noffset=noffset+2; |
noffset=noffset+2; |
| printf("# File is an UTF16BE BOM file\n"); |
printf("# File is an UTF16BE BOM file\n"); |
|
Line 11096 int main(int argc, char *argv[])
|
Line 11403 int main(int argc, char *argv[])
|
| } |
} |
| if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){ |
if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){ |
| if (num_filled != 1){ |
if (num_filled != 1){ |
| printf("ERROR %d: Model should be at minimum 'model=1+age' %s\n",num_filled, line); |
printf("ERROR %d: Model should be at minimum 'model=1+age+' instead of '%s'\n",num_filled, line); |
| fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age' %s\n",num_filled, line); |
fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age+' instead of '%s'\n",num_filled, line); |
| model[0]='\0'; |
model[0]='\0'; |
| goto end; |
goto end; |
| } |
} |
|
Line 11724 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 12031 Title=%s <br>Datafile=%s Firstpass=%d La
|
| <img src=\"%s_.svg\">", subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_")); |
<img src=\"%s_.svg\">", subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_")); |
| |
|
| |
|
| fprintf(fichtm,"\n<h4>Some descriptive statistics </h4>\n<br>Total number of observations=%d <br>\n\ |
fprintf(fichtm,"\n<h4>Some descriptive statistics </h4>\n<br>Number of (used) observations=%d <br>\n\ |
| Youngest age at first (selected) pass %.2f, oldest age %.2f<br>\n\ |
Youngest age at first (selected) pass %.2f, oldest age %.2f<br>\n\ |
| Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n",\ |
Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n",\ |
| imx,agemin,agemax,jmin,jmax,jmean); |
imx,agemin,agemax,jmin,jmax,jmean); |
|
Line 11783 Interval (in months) between two waves:
|
Line 12090 Interval (in months) between two waves:
|
| 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; |
| /*printf("%lf %lf", p[1], p[2]);*/ |
/* printf("%lf %lf", p[1], p[2]); */ |
| |
|
| |
|
| #ifdef GSL |
#ifdef GSL |
|
Line 11910 Interval (in months) between two waves:
|
Line 12217 Interval (in months) between two waves:
|
| printf("%f [%f ; %f]\n",p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i])); |
printf("%f [%f ; %f]\n",p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i])); |
| fprintf(ficlog,"%f [%f ; %f]\n",p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i])); |
fprintf(ficlog,"%f [%f ; %f]\n",p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i])); |
| } |
} |
| lsurv=vector(1,AGESUP); |
lsurv=vector(agegomp,AGESUP); |
| lpop=vector(1,AGESUP); |
lpop=vector(agegomp,AGESUP); |
| tpop=vector(1,AGESUP); |
tpop=vector(agegomp,AGESUP); |
| lsurv[agegomp]=100000; |
lsurv[agegomp]=100000; |
| |
|
| for (k=agegomp;k<=AGESUP;k++) { |
for (k=agegomp;k<=AGESUP;k++) { |
|
Line 11959 Please run with mle=-1 to get a correct
|
Line 12266 Please run with mle=-1 to get a correct
|
| stepm, weightopt,\ |
stepm, weightopt,\ |
| model,imx,p,matcov,agemortsup); |
model,imx,p,matcov,agemortsup); |
| |
|
| free_vector(lsurv,1,AGESUP); |
free_vector(lsurv,agegomp,AGESUP); |
| free_vector(lpop,1,AGESUP); |
free_vector(lpop,agegomp,AGESUP); |
| free_vector(tpop,1,AGESUP); |
free_vector(tpop,agegomp,AGESUP); |
| free_matrix(ximort,1,NDIM,1,NDIM); |
free_matrix(ximort,1,NDIM,1,NDIM); |
| free_ivector(dcwave,firstobs,lastobs); |
free_ivector(dcwave,firstobs,lastobs); |
| free_vector(agecens,firstobs,lastobs); |
free_vector(agecens,firstobs,lastobs); |
|
Line 12162 Please run with mle=-1 to get a correct
|
Line 12469 Please run with mle=-1 to get a correct
|
| fputs(line,stdout); |
fputs(line,stdout); |
| fputs(line,ficparo); |
fputs(line,ficparo); |
| fputs(line,ficlog); |
fputs(line,ficlog); |
| |
fputs(line,ficres); |
| continue; |
continue; |
| }else |
}else |
| break; |
break; |
|
Line 12207 Please run with mle=-1 to get a correct
|
Line 12515 Please run with mle=-1 to get a correct
|
| fputs(line,stdout); |
fputs(line,stdout); |
| fputs(line,ficparo); |
fputs(line,ficparo); |
| fputs(line,ficlog); |
fputs(line,ficlog); |
| |
fputs(line,ficres); |
| continue; |
continue; |
| }else |
}else |
| break; |
break; |
|
Line 12232 Please run with mle=-1 to get a correct
|
Line 12541 Please run with mle=-1 to get a correct
|
| fputs(line,stdout); |
fputs(line,stdout); |
| fputs(line,ficparo); |
fputs(line,ficparo); |
| fputs(line,ficlog); |
fputs(line,ficlog); |
| |
fputs(line,ficres); |
| continue; |
continue; |
| }else |
}else |
| break; |
break; |
|
Line 12254 Please run with mle=-1 to get a correct
|
Line 12564 Please run with mle=-1 to get a correct
|
| } |
} |
| |
|
| /* Results */ |
/* Results */ |
| |
endishere=0; |
| nresult=0; |
nresult=0; |
| |
parameterline=0; |
| do{ |
do{ |
| if(!fgets(line, MAXLINE, ficpar)){ |
if(!fgets(line, MAXLINE, ficpar)){ |
| endishere=1; |
endishere=1; |
| parameterline=14; |
parameterline=15; |
| }else if (line[0] == '#') { |
}else if (line[0] == '#') { |
| /* If line starts with a # it is a comment */ |
/* If line starts with a # it is a comment */ |
| numlinepar++; |
numlinepar++; |
| fputs(line,stdout); |
fputs(line,stdout); |
| fputs(line,ficparo); |
fputs(line,ficparo); |
| fputs(line,ficlog); |
fputs(line,ficlog); |
| |
fputs(line,ficres); |
| continue; |
continue; |
| }else if(sscanf(line,"prevforecast=%[^\n]\n",modeltemp)) |
}else if(sscanf(line,"prevforecast=%[^\n]\n",modeltemp)) |
| parameterline=11; |
parameterline=11; |
| else if(sscanf(line,"backcast=%[^\n]\n",modeltemp)) |
else if(sscanf(line,"prevbackcast=%[^\n]\n",modeltemp)) |
| parameterline=12; |
parameterline=12; |
| else if(sscanf(line,"result:%[^\n]\n",modeltemp)) |
else if(sscanf(line,"result:%[^\n]\n",modeltemp)){ |
| parameterline=13; |
parameterline=13; |
| |
} |
| else{ |
else{ |
| parameterline=14; |
parameterline=14; |
| } |
} |
| switch (parameterline){ |
switch (parameterline){ /* =0 only if only comments */ |
| case 11: |
case 11: |
| if((num_filled=sscanf(line,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj)) !=EOF){ |
if((num_filled=sscanf(line,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj)) !=EOF && (num_filled == 8)){ |
| if (num_filled != 8) { |
fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); |
| printf("Error: Not 8 (data)parameters in line but %d, for example:prevforecast=1 starting-proj-date=1/1/1990 final-proj-date=1/1/2000 mobil_average=0\n, your line=%s . Probably you are running an older format.\n",num_filled,line); |
|
| fprintf(ficlog,"Error: Not 8 (data)parameters in line but %d, for example:prevforecast=1 starting-proj-date=1/1/1990 final-proj-date=1/1/2000 mov_average=0\n, your line=%s . Probably you are running an older format.\n",num_filled,line); |
|
| goto end; |
|
| } |
|
| fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); |
|
| printf("prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); |
printf("prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); |
| fprintf(ficlog,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); |
fprintf(ficlog,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); |
| fprintf(ficres,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); |
fprintf(ficres,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); |
| /* day and month of proj2 are not used but only year anproj2.*/ |
/* day and month of proj2 are not used but only year anproj2.*/ |
| dateproj1=anproj1+(mproj1-1)/12.+(jproj1-1)/365.; |
dateproj1=anproj1+(mproj1-1)/12.+(jproj1-1)/365.; |
| dateproj2=anproj2+(mproj2-1)/12.+(jproj2-1)/365.; |
dateproj2=anproj2+(mproj2-1)/12.+(jproj2-1)/365.; |
| |
prvforecast = 1; |
| |
} |
| |
else if((num_filled=sscanf(line,"prevforecast=%d yearsfproj=%lf mobil_average=%d\n",&prevfcast,&yrfproj,&mobilavproj)) !=EOF){/* && (num_filled == 3))*/ |
| |
printf("prevforecast=%d yearsfproj=%.2lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj); |
| |
fprintf(ficlog,"prevforecast=%d yearsfproj=%.2lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj); |
| |
fprintf(ficres,"prevforecast=%d yearsfproj=%.2lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj); |
| |
prvforecast = 2; |
| |
} |
| |
else { |
| |
printf("Error: Not 8 (data)parameters in line but %d, for example:prevforecast=1 starting-proj-date=1/1/1990 final-proj-date=1/1/2000 mobil_average=0\nnor 3 (data)parameters, for example:prevforecast=1 yearsfproj=10 mobil_average=0. Your line=%s . You are running probably an older format.\n, ",num_filled,line); |
| |
fprintf(ficlog,"Error: Not 8 (data)parameters in line but %d, for example:prevforecast=1 starting-proj-date=1/1/1990 final-proj-date=1/1/2000 mobil_average=0\nnor 3 (data)parameters, for example:prevforecast=1 yearproj=10 mobil_average=0. Your line=%s . You are running probably an older format.\n, ",num_filled,line); |
| |
goto end; |
| } |
} |
| break; |
break; |
| case 12: |
case 12: |
| /*fscanf(ficpar,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj);*/ |
if((num_filled=sscanf(line,"prevbackcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&prevbcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj)) !=EOF && (num_filled == 8)){ |
| if((num_filled=sscanf(line,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj)) !=EOF){ |
fprintf(ficparo,"prevbackcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevbcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); |
| if (num_filled != 8) { |
printf("prevbackcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevbcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); |
| printf("Error: Not 8 (data)parameters in line but %d, for example:backcast=1 starting-back-date=1/1/1990 final-back-date=1/1/1970 mobil_average=1\n, your line=%s . Probably you are running an older format.\n",num_filled,line); |
fprintf(ficlog,"prevbackcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevbcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); |
| fprintf(ficlog,"Error: Not 8 (data)parameters in line but %d, for example:backcast=1 starting-back-date=1/1/1990 final-back-date=1/1/1970 mobil_average=1\n, your line=%s . Probably you are running an older format.\n",num_filled,line); |
fprintf(ficres,"prevbackcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevbcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); |
| goto end; |
/* day and month of back2 are not used but only year anback2.*/ |
| } |
|
| printf("backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); |
|
| fprintf(ficparo,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); |
|
| fprintf(ficlog,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); |
|
| fprintf(ficres,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); |
|
| /* day and month of proj2 are not used but only year anproj2.*/ |
|
| dateback1=anback1+(mback1-1)/12.+(jback1-1)/365.; |
dateback1=anback1+(mback1-1)/12.+(jback1-1)/365.; |
| dateback2=anback2+(mback2-1)/12.+(jback2-1)/365.; |
dateback2=anback2+(mback2-1)/12.+(jback2-1)/365.; |
| |
prvbackcast = 1; |
| |
} |
| |
else if((num_filled=sscanf(line,"prevbackcast=%d yearsbproj=%lf mobil_average=%d\n",&prevbcast,&yrbproj,&mobilavproj)) ==3){/* && (num_filled == 3))*/ |
| |
printf("prevbackcast=%d yearsbproj=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj); |
| |
fprintf(ficlog,"prevbackcast=%d yearsbproj=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj); |
| |
fprintf(ficres,"prevbackcast=%d yearsbproj=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj); |
| |
prvbackcast = 2; |
| |
} |
| |
else { |
| |
printf("Error: Not 8 (data)parameters in line but %d, for example:prevbackcast=1 starting-back-date=1/1/1990 final-back-date=1/1/2000 mobil_average=0\nnor 3 (data)parameters, for example:prevbackcast=1 yearsbproj=10 mobil_average=0. Your line=%s . You are running probably an older format.\n, ",num_filled,line); |
| |
fprintf(ficlog,"Error: Not 8 (data)parameters in line but %d, for example:prevbackcast=1 starting-back-date=1/1/1990 final-back-date=1/1/2000 mobil_average=0\nnor 3 (data)parameters, for example:prevbackcast=1 yearbproj=10 mobil_average=0. Your line=%s . You are running probably an older format.\n, ",num_filled,line); |
| |
goto end; |
| } |
} |
| break; |
break; |
| case 13: |
case 13: |
| if((num_filled=sscanf(line,"result:%[^\n]\n",resultline)) !=EOF){ |
num_filled=sscanf(line,"result:%[^\n]\n",resultline); |
| if (num_filled == 0){ |
nresult++; /* Sum of resultlines */ |
| resultline[0]='\0'; |
printf("Result %d: result:%s\n",nresult, resultline); |
| printf("Warning %d: no result line! It should be at minimum 'result: V2=0 V1=1 or result:.\n%s\n", num_filled, line); |
if(nresult > MAXRESULTLINES){ |
| fprintf(ficlog,"Warning %d: no result line! It should be at minimum 'result: V2=0 V1=1 or result:.\n%s\n", num_filled, line); |
printf("ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\nYou can use the 'r' parameter file '%s' which uses option mle=0 to get other results. ",MAXRESULTLINES,nresult,rfileres); |
| break; |
fprintf(ficlog,"ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\nYou can use the 'r' parameter file '%s' which uses option mle=0 to get other results. ",MAXRESULTLINES,nresult,rfileres); |
| } else if (num_filled != 1){ |
goto end; |
| printf("ERROR %d: result line! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",num_filled, line); |
} |
| fprintf(ficlog,"ERROR %d: result line! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",num_filled, line); |
if(!decoderesult(resultline, nresult)){ /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */ |
| } |
|
| nresult++; /* Sum of resultlines */ |
|
| printf("Result %d: result=%s\n",nresult, resultline); |
|
| if(nresult > MAXRESULTLINES){ |
|
| printf("ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\n",MAXRESULTLINES,nresult); |
|
| fprintf(ficlog,"ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\n",MAXRESULTLINES,nresult); |
|
| goto end; |
|
| } |
|
| decoderesult(resultline, nresult); /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */ |
|
| fprintf(ficparo,"result: %s\n",resultline); |
fprintf(ficparo,"result: %s\n",resultline); |
| fprintf(ficres,"result: %s\n",resultline); |
fprintf(ficres,"result: %s\n",resultline); |
| fprintf(ficlog,"result: %s\n",resultline); |
fprintf(ficlog,"result: %s\n",resultline); |
| break; |
} else |
| case 14: |
goto end; |
| if(ncovmodel >2 && nresult==0 ){ |
break; |
| printf("ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line); |
case 14: |
| goto end; |
printf("Error: Unknown command '%s'\n",line); |
| } |
fprintf(ficlog,"Error: Unknown command '%s'\n",line); |
| break; |
if(line[0] == ' ' || line[0] == '\n'){ |
| default: |
printf("It should not be an empty line '%s'\n",line); |
| nresult=1; |
fprintf(ficlog,"It should not be an empty line '%s'\n",line); |
| decoderesult(".",nresult ); /* No covariate */ |
} |
| |
if(ncovmodel >=2 && nresult==0 ){ |
| |
printf("ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line); |
| |
fprintf(ficlog,"ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line); |
| } |
} |
| |
/* goto end; */ |
| |
break; |
| |
case 15: |
| |
printf("End of resultlines.\n"); |
| |
fprintf(ficlog,"End of resultlines.\n"); |
| |
break; |
| |
default: /* parameterline =0 */ |
| |
nresult=1; |
| |
decoderesult(".",nresult ); /* No covariate */ |
| } /* End switch parameterline */ |
} /* End switch parameterline */ |
| }while(endishere==0); /* End do */ |
}while(endishere==0); /* End do */ |
| |
|
|
Line 12359 This is probably because your parameter
|
Line 12688 This is probably because your parameter
|
| Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar); |
Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar); |
| }else{ |
}else{ |
| /* printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p, (int)anproj1-(int)agemin, (int)anback1-(int)agemax+1); */ |
/* printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p, (int)anproj1-(int)agemin, (int)anback1-(int)agemax+1); */ |
| printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,bage, fage, prevfcast, backcast, pathc,p, (int)anproj1-bage, (int)anback1-fage); |
/* It seems that anprojd which is computed from the mean year at interview which is known yet because of freqsummary */ |
| |
/* date2dmy(dateintmean,&jintmean,&mintmean,&aintmean); */ /* Done in freqsummary */ |
| |
if(prvforecast==1){ |
| |
dateprojd=(jproj1+12*mproj1+365*anproj1)/365; |
| |
jprojd=jproj1; |
| |
mprojd=mproj1; |
| |
anprojd=anproj1; |
| |
dateprojf=(jproj2+12*mproj2+365*anproj2)/365; |
| |
jprojf=jproj2; |
| |
mprojf=mproj2; |
| |
anprojf=anproj2; |
| |
} else if(prvforecast == 2){ |
| |
dateprojd=dateintmean; |
| |
date2dmy(dateprojd,&jprojd, &mprojd, &anprojd); |
| |
dateprojf=dateintmean+yrfproj; |
| |
date2dmy(dateprojf,&jprojf, &mprojf, &anprojf); |
| |
} |
| |
if(prvbackcast==1){ |
| |
datebackd=(jback1+12*mback1+365*anback1)/365; |
| |
jbackd=jback1; |
| |
mbackd=mback1; |
| |
anbackd=anback1; |
| |
datebackf=(jback2+12*mback2+365*anback2)/365; |
| |
jbackf=jback2; |
| |
mbackf=mback2; |
| |
anbackf=anback2; |
| |
} else if(prvbackcast == 2){ |
| |
datebackd=dateintmean; |
| |
date2dmy(datebackd,&jbackd, &mbackd, &anbackd); |
| |
datebackf=dateintmean-yrbproj; |
| |
date2dmy(datebackf,&jbackf, &mbackf, &anbackf); |
| |
} |
| |
|
| |
printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,bage, fage, prevfcast, prevbcast, pathc,p, (int)anprojd-bage, (int)anbackd-fage); |
| } |
} |
| printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \ |
printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \ |
| model,imx,jmin,jmax,jmean,rfileres,popforecast,mobilav,prevfcast,mobilavproj,backcast, estepm, \ |
model,imx,jmin,jmax,jmean,rfileres,popforecast,mobilav,prevfcast,mobilavproj,prevbcast, estepm, \ |
| jprev1,mprev1,anprev1,dateprev1, dateproj1, dateback1,jprev2,mprev2,anprev2,dateprev2,dateproj2, dateback2); |
jprev1,mprev1,anprev1,dateprev1, dateprojd, datebackd,jprev2,mprev2,anprev2,dateprev2,dateprojf, datebackf); |
| |
|
| /*------------ free_vector -------------*/ |
/*------------ free_vector -------------*/ |
| /* chdir(path); */ |
/* chdir(path); */ |
|
Line 12436 Please run with mle=-1 to get a correct
|
Line 12798 Please run with mle=-1 to get a correct
|
| }/* end if moving average */ |
}/* end if moving average */ |
| |
|
| /*---------- Forecasting ------------------*/ |
/*---------- Forecasting ------------------*/ |
| if(prevfcast==1){ |
if(prevfcast==1){ |
| /* if(stepm ==1){*/ |
/* /\* if(stepm ==1){*\/ */ |
| prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, mobaverage, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff); |
/* /\* anproj1, mproj1, jproj1 either read explicitly or yrfproj *\/ */ |
| |
/*This done previously after freqsummary.*/ |
| |
/* dateprojd=(jproj1+12*mproj1+365*anproj1)/365; */ |
| |
/* dateprojf=(jproj2+12*mproj2+365*anproj2)/365; */ |
| |
|
| |
/* } else if (prvforecast==2){ */ |
| |
/* /\* if(stepm ==1){*\/ */ |
| |
/* /\* anproj1, mproj1, jproj1 either read explicitly or yrfproj *\/ */ |
| |
/* } */ |
| |
/*prevforecast(fileresu, dateintmean, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, mobaverage, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);*/ |
| |
prevforecast(fileresu,dateintmean, dateprojd, dateprojf, agemin, agemax, dateprev1, dateprev2, mobilavproj, mobaverage, bage, fage, firstpass, lastpass, p, cptcoveff); |
| } |
} |
| |
|
| /* Backcasting */ |
/* Prevbcasting */ |
| if(backcast==1){ |
if(prevbcast==1){ |
| ddnewms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
ddnewms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
| ddoldms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
ddoldms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
| ddsavms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
ddsavms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
|
Line 12457 Please run with mle=-1 to get a correct
|
Line 12829 Please run with mle=-1 to get a correct
|
| hBijx(p, bage, fage, mobaverage); |
hBijx(p, bage, fage, mobaverage); |
| fclose(ficrespijb); |
fclose(ficrespijb); |
| |
|
| prevbackforecast(fileresu, mobaverage, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, |
/* /\* prevbackforecast(fileresu, mobaverage, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, *\/ */ |
| mobilavproj, bage, fage, firstpass, lastpass, anback2, p, cptcoveff); |
/* /\* mobilavproj, bage, fage, firstpass, lastpass, anback2, p, cptcoveff); *\/ */ |
| |
/* prevbackforecast(fileresu, mobaverage, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, */ |
| |
/* mobilavproj, bage, fage, firstpass, lastpass, anback2, p, cptcoveff); */ |
| |
prevbackforecast(fileresu, mobaverage, dateintmean, dateprojd, dateprojf, agemin, agemax, dateprev1, dateprev2, |
| |
mobilavproj, bage, fage, firstpass, lastpass, p, cptcoveff); |
| |
|
| |
|
| varbprlim(fileresu, nresult, mobaverage, mobilavproj, bage, fage, bprlim, &ncvyear, ftolpl, p, matcov, delti, stepm, cptcoveff); |
varbprlim(fileresu, nresult, mobaverage, mobilavproj, bage, fage, bprlim, &ncvyear, ftolpl, p, matcov, delti, stepm, cptcoveff); |
| |
|
| |
|
|
Line 12466 Please run with mle=-1 to get a correct
|
Line 12844 Please run with mle=-1 to get a correct
|
| 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); |
| } /* end Backcasting */ |
} /* end Prevbcasting */ |
| |
|
| |
|
| /* ------ Other prevalence ratios------------ */ |
/* ------ Other prevalence ratios------------ */ |
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