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version 1.334, 2022/08/25 09:08:41
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version 1.353, 2023/05/08 18:48:22
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| /* $Id$ |
/* $Id$ |
| $State$ |
$State$ |
| $Log$ |
$Log$ |
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Revision 1.353 2023/05/08 18:48:22 brouard |
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*** empty log message *** |
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Revision 1.352 2023/04/29 10:46:21 brouard |
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*** empty log message *** |
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Revision 1.351 2023/04/29 10:43:47 brouard |
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Summary: 099r45 |
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Revision 1.350 2023/04/24 11:38:06 brouard |
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*** empty log message *** |
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Revision 1.349 2023/01/31 09:19:37 brouard |
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Summary: Improvements in models with age*Vn*Vm |
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Revision 1.347 2022/09/18 14:36:44 brouard |
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Summary: version 0.99r42 |
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Revision 1.346 2022/09/16 13:52:36 brouard |
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* src/imach.c (Module): 0.99r41 Was an error when product of timevarying and fixed. Using FixedV[of name] now. Thank you Feinuo |
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Revision 1.345 2022/09/16 13:40:11 brouard |
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Summary: Version 0.99r41 |
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* imach.c (Module): 0.99r41 Was an error when product of timevarying and fixed. Using FixedV[of name] now. Thank you Feinuo |
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Revision 1.344 2022/09/14 19:33:30 brouard |
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Summary: version 0.99r40 |
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* imach.c (Module): Fixing names of variables in T_ (thanks to Feinuo) |
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Revision 1.343 2022/09/14 14:22:16 brouard |
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Summary: version 0.99r39 |
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* imach.c (Module): Version 0.99r39 with colored dummy covariates |
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(fixed or time varying), using new last columns of |
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ILK_parameter.txt file. |
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Revision 1.342 2022/09/11 19:54:09 brouard |
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Summary: 0.99r38 |
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* imach.c (Module): Adding timevarying products of any kinds, |
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should work before shifting cotvar from ncovcol+nqv columns in |
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order to have a correspondance between the column of cotvar and |
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the id of column. |
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(Module): Some cleaning and adding covariates in ILK.txt |
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Revision 1.341 2022/09/11 07:58:42 brouard |
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Summary: Version 0.99r38 |
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After adding change in cotvar. |
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Revision 1.340 2022/09/11 07:53:11 brouard |
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Summary: Version imach 0.99r37 |
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* imach.c (Module): Adding timevarying products of any kinds, |
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should work before shifting cotvar from ncovcol+nqv columns in |
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order to have a correspondance between the column of cotvar and |
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the id of column. |
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Revision 1.339 2022/09/09 17:55:22 brouard |
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Summary: version 0.99r37 |
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* imach.c (Module): Many improvements for fixing products of fixed |
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timevarying as well as fixed * fixed, and test with quantitative |
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covariate. |
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Revision 1.338 2022/09/04 17:40:33 brouard |
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Summary: 0.99r36 |
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* imach.c (Module): Now the easy runs i.e. without result or |
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model=1+age only did not work. The defautl combination should be 1 |
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and not 0 because everything hasn't been tranformed yet. |
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Revision 1.337 2022/09/02 14:26:02 brouard |
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Summary: version 0.99r35 |
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* src/imach.c: Version 0.99r35 because it outputs same results with |
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1+age+V1+V1*age for females and 1+age for females only |
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(education=1 noweight) |
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Revision 1.336 2022/08/31 09:52:36 brouard |
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*** empty log message *** |
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Revision 1.335 2022/08/31 08:23:16 brouard |
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Summary: improvements... |
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| Revision 1.334 2022/08/25 09:08:41 brouard |
Revision 1.334 2022/08/25 09:08:41 brouard |
| Summary: In progress for quantitative |
Summary: In progress for quantitative |
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Line 1242 typedef struct {
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Line 1329 typedef struct {
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| /* #include <libintl.h> */ |
/* #include <libintl.h> */ |
| /* #define _(String) gettext (String) */ |
/* #define _(String) gettext (String) */ |
| |
|
| #define MAXLINE 2048 /* Was 256 and 1024. Overflow with 312 with 2 states and 4 covariates. Should be ok */ |
#define MAXLINE 16384 /* Was 256 and 1024 and 2048. Overflow with 312 with 2 states and 4 covariates. Should be ok */ |
| |
|
| #define GNUPLOTPROGRAM "gnuplot" |
#define GNUPLOTPROGRAM "gnuplot" |
| |
#define GNUPLOTVERSION 5.1 |
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double gnuplotversion=GNUPLOTVERSION; |
| /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/ |
/*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/ |
| #define FILENAMELENGTH 256 |
#define FILENAMELENGTH 256 |
| |
|
| #define GLOCK_ERROR_NOPATH -1 /* empty path */ |
#define GLOCK_ERROR_NOPATH -1 /* empty path */ |
| #define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */ |
#define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */ |
| |
|
| #define MAXPARM 128 /**< Maximum number of parameters for the optimization */ |
#define MAXPARM 216 /**< Maximum number of parameters for the optimization was 128 */ |
| #define NPARMAX 64 /**< (nlstate+ndeath-1)*nlstate*ncovmodel */ |
#define NPARMAX 64 /**< (nlstate+ndeath-1)*nlstate*ncovmodel */ |
| |
|
| #define NINTERVMAX 8 |
#define NINTERVMAX 8 |
|
Line 1285 typedef struct {
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Line 1374 typedef struct {
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| /* $State$ */ |
/* $State$ */ |
| #include "version.h" |
#include "version.h" |
| char version[]=__IMACH_VERSION__; |
char version[]=__IMACH_VERSION__; |
| char copyright[]="August 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 copyright[]="April 2023,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]; |
| int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */ |
int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */ |
| |
int debugILK=0; /* debugILK is set by a #d in a comment line */ |
| int nagesqr=0, nforce=0; /* nagesqr=1 if model is including age*age, number of forces */ |
int nagesqr=0, nforce=0; /* nagesqr=1 if model is including age*age, number of forces */ |
| /* Number of covariates model (1)=V2+V1+ V3*age+V2*V4 */ |
/* Number of covariates model (1)=V2+V1+ V3*age+V2*V4 */ |
| /* Model(2) V1 + V2 + V3 + V8 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */ |
/* Model(2) V1 + V2 + V3 + V8 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */ |
| int cptcovn=0; /**< cptcovn decodemodel: number of covariates k of the models excluding age*products =6 and age*age */ |
int cptcovn=0; /**< cptcovn decodemodel: number of covariates k of the models excluding age*products =6 and age*age but including products */ |
| int cptcovt=0; /**< cptcovt: total number of covariates of the model (2) nbocc(+)+1 = 8 excepting constant and age and age*age */ |
int cptcovt=0; /**< cptcovt: total number of covariates of the model (2) nbocc(+)+1 = 8 excepting constant and age and age*age */ |
| int cptcovs=0; /**< cptcovs number of simple covariates in the model V2+V1 =2 (dummy or quantit or time varying) */ |
int cptcovs=0; /**< cptcovs number of SIMPLE covariates in the model V2+V1 =2 (dummy or quantit or time varying) */ |
| int cptcovsnq=0; /**< cptcovsnq number of simple covariates in the model but non quantitative V2+V1 =2 */ |
int cptcovsnq=0; /**< cptcovsnq number of SIMPLE covariates in the model but non quantitative V2+V1 =2 */ |
| int cptcovage=0; /**< Number of covariates with age: V3*age only =1 */ |
int cptcovage=0; /**< Number of covariates with age: V3*age only =1 */ |
| |
int cptcovprodage=0; /**< Number of fixed covariates with age: V3*age or V2*V3*age 1 */ |
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int cptcovprodvage=0; /**< Number of varying covariates with age: V7*age or V7*V6*age */ |
| |
int cptcovdageprod=0; /**< Number of doubleproducts with age, since 0.99r44 only: age*Vn*Vm for gnuplot printing*/ |
| int cptcovprodnoage=0; /**< Number of covariate products without age */ |
int cptcovprodnoage=0; /**< Number of covariate products without age */ |
| int cptcoveff=0; /* Total number of single dummy covariates to vary for printing results (2**cptcoveff combinations of dummies)(computed in tricode as cptcov) */ |
int cptcoveff=0; /* Total number of single dummy covariates (fixed or time varying) to vary for printing results (2**cptcoveff combinations of dummies)(computed in tricode as cptcov) */ |
| int ncovf=0; /* Total number of effective fixed covariates (dummy or quantitative) in the model */ |
int ncovf=0; /* Total number of effective fixed covariates (dummy or quantitative) in the model */ |
| int ncovv=0; /* Total number of effective (wave) varying covariates (dummy or quantitative) in the model */ |
int ncovv=0; /* Total number of effective (wave) varying covariates (dummy or quantitative) in the model */ |
| int ncova=0; /* Total number of effective (wave and stepm) varying with age covariates (dummy of quantitative) in the model */ |
int ncovvt=0; /* Total number of effective (wave) varying covariates (dummy or quantitative or products [without age]) in the model */ |
| |
int ncovvta=0; /* +age*V6 + age*V7+ age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 Total number of expandend products [with age]) in the model */ |
| |
int ncovta=0; /*age*V3*V2 +age*V2+agev3+ageV4 +age*V6 + age*V7+ age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 Total number of expandend products [with age]) in the model */ |
| |
int ncova=0; /* Total number of effective (wave and stepm) varying with age covariates (single or product, dummy or quantitative) in the model */ |
| |
int ncovva=0; /* +age*V6 + age*V7+ge*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 Total number of effective (wave and stepm) varying with age covariates (single or product, dummy or quantitative) in the model */ |
| int nsd=0; /**< Total number of single dummy variables (output) */ |
int nsd=0; /**< Total number of single dummy variables (output) */ |
| int nsq=0; /**< Total number of single quantitative variables (output) */ |
int nsq=0; /**< Total number of single quantitative variables (output) */ |
| int ncoveff=0; /* Total number of effective fixed dummy covariates in the model */ |
int ncoveff=0; /* Total number of effective fixed dummy covariates in the model */ |
|
Line 1317 int npar=NPARMAX; /* Number of parameter
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Line 1414 int npar=NPARMAX; /* Number of parameter
|
| int nlstate=2; /* Number of live states */ |
int nlstate=2; /* Number of live states */ |
| int ndeath=1; /* Number of dead states */ |
int ndeath=1; /* Number of dead states */ |
| int ncovmodel=0, ncovcol=0; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */ |
int ncovmodel=0, ncovcol=0; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */ |
| int nqv=0, ntv=0, nqtv=0; /* Total number of quantitative variables, time variable (dummy), quantitative and time variable */ |
int nqv=0, ntv=0, nqtv=0; /* Total number of quantitative variables, time variable (dummy), quantitative and time variable*/ |
| |
int ncovcolt=0; /* ncovcolt=ncovcol+nqv+ntv+nqtv; total of covariates in the data, not in the model equation*/ |
| int popbased=0; |
int popbased=0; |
| |
|
| int *wav; /* Number of waves for this individuual 0 is possible */ |
int *wav; /* Number of waves for this individuual 0 is possible */ |
|
Line 1388 extern time_t time();
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Line 1486 extern time_t time();
|
| |
|
| struct tm start_time, end_time, curr_time, last_time, forecast_time; |
struct tm start_time, end_time, curr_time, last_time, forecast_time; |
| time_t rstart_time, rend_time, rcurr_time, rlast_time, rforecast_time; /* raw time */ |
time_t rstart_time, rend_time, rcurr_time, rlast_time, rforecast_time; /* raw time */ |
| |
time_t rlast_btime; /* raw time */ |
| struct tm tm; |
struct tm tm; |
| |
|
| char strcurr[80], strfor[80]; |
char strcurr[80], strfor[80]; |
|
Line 1466 double **covar; /**< covar[j,i], value
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Line 1565 double **covar; /**< covar[j,i], value
|
| * covar=matrix(0,NCOVMAX,1,n); |
* covar=matrix(0,NCOVMAX,1,n); |
| * cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*age; */ |
* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*age; */ |
| double **coqvar; /* Fixed quantitative covariate nqv */ |
double **coqvar; /* Fixed quantitative covariate nqv */ |
| double ***cotvar; /* Time varying covariate ntv */ |
double ***cotvar; /* Time varying covariate start at ncovcol + nqv + (1 to ntv) */ |
| double ***cotqvar; /* Time varying quantitative covariate itqv */ |
double ***cotqvar; /* Time varying quantitative covariate itqv */ |
| double idx; |
double idx; |
| int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */ |
int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */ |
|
Line 1478 int **nbcode, *Tvar; /**< model=V2 => Tv
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Line 1577 int **nbcode, *Tvar; /**< model=V2 => Tv
|
| * cptcovn number of covariates (not including constant and age or age*age) = number of plus sign + 1 = 10+1=11 |
* cptcovn number of covariates (not including constant and age or age*age) = number of plus sign + 1 = 10+1=11 |
| * For time varying covariate, quanti or dummies |
* For time varying covariate, quanti or dummies |
| * cotqvar[wav][iv(1 to nqtv)][i]= [1][12][i]=(V12) quanti |
* cotqvar[wav][iv(1 to nqtv)][i]= [1][12][i]=(V12) quanti |
| * cotvar[wav][ntv+iv][i]= [3+(1 to nqtv)][i]=(V12) quanti |
* cotvar[wav][ncovcol+nqv+ iv(1 to nqtv)][i]= [(1 to nqtv)][i]=(V12) quanti |
| * cotvar[wav][iv(1 to ntv)][i]= [1][1][i]=(V9) dummies at wav 1 |
* cotvar[wav][iv(1 to ntv)][i]= [1][1][i]=(V9) dummies at wav 1 |
| * cotvar[wav][iv(1 to ntv)][i]= [1][2][i]=(V10) dummies at wav 1 |
* cotvar[wav][iv(1 to ntv)][i]= [1][2][i]=(V10) dummies at wav 1 |
| * covar[Vk,i], value of the Vkth fixed covariate dummy or quanti for individual i: |
* covar[Vk,i], value of the Vkth fixed covariate dummy or quanti for individual i: |
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Line 1491 int **nbcode, *Tvar; /**< model=V2 => Tv
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Line 1590 int **nbcode, *Tvar; /**< model=V2 => Tv
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| # States 1=Coresidence, 2 Living alone, 3 Institution |
# States 1=Coresidence, 2 Living alone, 3 Institution |
| # V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi |
# V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi |
| */ |
*/ |
| /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
/* V5+V4+ V3+V4*V3 +V5*age+V2 +V1*V2+V1*age+V1+V4*V3*age */ |
| /* k 1 2 3 4 5 6 7 8 9 */ |
/* kmodel 1 2 3 4 5 6 7 8 9 10 */ |
| /*Typevar[k]= 0 0 0 2 1 0 2 1 0 *//*0 for simple covariate (dummy, quantitative,*/ |
/*Typevar[k]= 0 0 0 2 1 0 2 1 0 3 *//*0 for simple covariate (dummy, quantitative,*/ |
| /* fixed or varying), 1 for age product, 2 for*/ |
/* fixed or varying), 1 for age product, 2 for*/ |
| /* product */ |
/* product without age, 3 for age and double product */ |
| /*Dummy[k]= 1 0 0 1 3 1 1 2 0 *//*Dummy[k] 0=dummy (0 1), 1 quantitative */ |
/*Dummy[k]= 1 0 0 1 3 1 1 2 0 3 *//*Dummy[k] 0=dummy (0 1), 1 quantitative */ |
| /*(single or product without age), 2 dummy*/ |
/*(single or product without age), 2 dummy*/ |
| /* with age product, 3 quant with age product*/ |
/* with age product, 3 quant with age product*/ |
| /*Tvar[k]= 5 4 3 6 5 2 7 1 1 */ |
/*Tvar[k]= 5 4 3 6 5 2 7 1 1 6 */ |
| /* nsd 1 2 3 */ /* Counting single dummies covar fixed or tv */ |
/* nsd 1 2 3 */ /* Counting single dummies covar fixed or tv */ |
| /*TnsdVar[Tvar] 1 2 3 */ |
/*TnsdVar[Tvar] 1 2 3 */ |
| /*TvarsD[nsd] 4 3 1 */ /* ID of single dummy cova fixed or timevary*/ |
/*Tvaraff[nsd] 4 3 1 */ /* ID of single dummy cova fixed or timevary*/ |
| /*TvarsDind[k] 2 3 9 */ /* position K of single dummy cova */ |
/*TvarsD[nsd] 4 3 1 */ /* ID of single dummy cova fixed or timevary*/ |
| /* nsq 1 2 */ /* Counting single quantit tv */ |
/*TvarsDind[nsd] 2 3 9 */ /* position K of single dummy cova */ |
| /* TvarsQ[k] 5 2 */ /* Number of single quantitative cova */ |
/* nsq 1 2 */ /* Counting single quantit tv */ |
| /* TvarsQind 1 6 */ /* position K of single quantitative cova */ |
/* TvarsQ[k] 5 2 */ /* Number of single quantitative cova */ |
| /* Tprod[i]=k 1 2 */ /* Position in model of the ith prod without age */ |
/* TvarsQind 1 6 */ /* position K of single quantitative cova */ |
| /* cptcovage 1 2 */ /* Counting cov*age in the model equation */ |
/* Tprod[i]=k 1 2 */ /* Position in model of the ith prod without age */ |
| /* Tage[cptcovage]=k 5 8 */ /* Position in the model of ith cov*age */ |
/* cptcovage 1 2 3 */ /* Counting cov*age in the model equation */ |
| /* Tvard[1][1]@4={4,3,1,2} V4*V3 V1*V2 */ /* Position in model of the ith prod without age */ |
/* Tage[cptcovage]=k 5 8 10 */ /* Position in the model of ith cov*age */ |
| |
/* model="V2+V3+V4+V6+V7+V6*V2+V7*V2+V6*V3+V7*V3+V6*V4+V7*V4+age*V2+age*V3+age*V4+age*V6+age*V7+age*V6*V2+age*V6*V3+age*V7*V3+age*V6*V4+age*V7*V4\r"*/ |
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/* p Tvard[1][1]@21 = {6, 2, 7, 2, 6, 3, 7, 3, 6, 4, 7, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0}*/ |
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/* p Tvard[2][1]@21 = {7, 2, 6, 3, 7, 3, 6, 4, 7, 4, 0 <repeats 11 times>} |
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/* p Tvardk[1][1]@24 = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 2, 7, 2, 6, 3, 7, 3, 6, 4, 7, 4, 0, 0}*/ |
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/* p Tvardk[1][1]@22 = {0, 0, 0, 0, 0, 0, 0, 0, 6, 2, 7, 2, 6, 3, 7, 3, 6, 4, 7, 4, 0, 0} */ |
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/* Tvard[1][1]@4={4,3,1,2} V4*V3 V1*V2 */ /* Position in model of the ith prod without age */ |
| /* Tvardk[4][1]=4;Tvardk[4][2]=3;Tvardk[7][1]=1;Tvardk[7][2]=2 */ /* Variables of a prod at position in the model equation*/ |
/* Tvardk[4][1]=4;Tvardk[4][2]=3;Tvardk[7][1]=1;Tvardk[7][2]=2 */ /* Variables of a prod at position in the model equation*/ |
| /* TvarF TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 ID of fixed covariates or product V2, V1*V2, V1 */ |
/* TvarF TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 ID of fixed covariates or product V2, V1*V2, V1 */ |
| /* TvarFind; TvarFind[1]=6, TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod) */ |
/* TvarFind; TvarFind[1]=6, TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod) */ |
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Line 1558 int *TvarVD; /* TvarVD[1]=V5 in V5+V4+V3
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Line 1663 int *TvarVD; /* TvarVD[1]=V5 in V5+V4+V3
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| int *TvarVDind; /* TvarVDind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
int *TvarVDind; /* TvarVDind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
| int *TvarVQ; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
int *TvarVQ; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
| int *TvarVQind; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
int *TvarVQind; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
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int *TvarVV; /* We count ncovvt time varying covariates (single or products without age) and put their name into TvarVV */ |
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int *TvarVVind; /* We count ncovvt time varying covariates (single or products without age) and put their name into TvarVV */ |
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int *TvarVVA; /* We count ncovvt time varying covariates (single or products with age) and put their name into TvarVVA */ |
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int *TvarVVAind; /* We count ncovvt time varying covariates (single or products without age) and put their name into TvarVV */ |
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int *TvarAVVA; /* We count ALL ncovta time varying covariates (single or products with age) and put their name into TvarVVA */ |
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int *TvarAVVAind; /* We count ALL ncovta time varying covariates (single or products without age) and put their name into TvarVV */ |
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/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
| |
/* model V1+V3+age*V1+age*V3+V1*V3 + V1*V3*age */ |
| |
/* Tvar={1, 3, 1, 3, 6, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
| |
/* TvarVV={3,1,3,1,3}, for V3 and then the product V1*V3 is decomposed into V1 and V3 */ |
| |
/* TvarVVind={2,5,5,6,6}, for V3 and then the product V1*V3 is decomposed into V1 and V3 and V1*V3*age into 6,6 */ |
| int *Tvarsel; /**< Selected covariates for output */ |
int *Tvarsel; /**< Selected covariates for output */ |
| double *Tvalsel; /**< Selected modality value of covariate for output */ |
double *Tvalsel; /**< Selected modality value of covariate for output */ |
| int *Typevar; /**< 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */ |
int *Typevar; /**< 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product, 3 age*Vn*Vm */ |
| int *Fixed; /** Fixed[k] 0=fixed, 1 varying, 2 fixed with age product, 3 varying with age product */ |
int *Fixed; /** Fixed[k] 0=fixed, 1 varying, 2 fixed with age product, 3 varying with age product */ |
| int *Dummy; /** Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product */ |
int *Dummy; /** Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product */ |
| int *DummyV; /** Dummy[v] 0=dummy (0 1), 1 quantitative */ |
int *DummyV; /** Dummy[v] 0=dummy (0 1), 1 quantitative */ |
|
Line 1698 char *trimbb(char *out, char *in)
|
Line 1813 char *trimbb(char *out, char *in)
|
| return s; |
return s; |
| } |
} |
| |
|
| |
char *trimbtab(char *out, char *in) |
| |
{ /* Trim blanks or tabs in line but keeps first blanks if line starts with blanks */ |
| |
char *s; |
| |
s=out; |
| |
while (*in != '\0'){ |
| |
while( (*in == ' ' || *in == '\t')){ /* && *(in+1) != '\0'){*/ |
| |
in++; |
| |
} |
| |
*out++ = *in++; |
| |
} |
| |
*out='\0'; |
| |
return s; |
| |
} |
| |
|
| /* char *substrchaine(char *out, char *in, char *chain) */ |
/* char *substrchaine(char *out, char *in, char *chain) */ |
| /* { */ |
/* { */ |
| /* /\* Substract chain 'chain' from 'in', return and output 'out' *\/ */ |
/* /\* Substract chain 'chain' from 'in', return and output 'out' *\/ */ |
|
Line 1724 char *trimbb(char *out, char *in)
|
Line 1853 char *trimbb(char *out, char *in)
|
| char *substrchaine(char *out, char *in, char *chain) |
char *substrchaine(char *out, char *in, char *chain) |
| { |
{ |
| /* Substract chain 'chain' from 'in', return and output 'out' */ |
/* Substract chain 'chain' from 'in', return and output 'out' */ |
| /* in="V1+V1*age+age*age+V2", chain="age*age" */ |
/* in="V1+V1*age+age*age+V2", chain="+age*age" out="V1+V1*age+V2" */ |
| |
|
| char *strloc; |
char *strloc; |
| |
|
| strcpy (out, in); |
strcpy (out, in); /* out="V1+V1*age+age*age+V2" */ |
| strloc = strstr(out, chain); /* strloc points to out at age*age+V2 */ |
strloc = strstr(out, chain); /* strloc points to out at "+age*age+V2" */ |
| printf("Bef strloc=%s chain=%s out=%s \n", strloc, chain, out); |
printf("Bef strloc=%s chain=%s out=%s \n", strloc, chain, out); /* strloc=+age*age+V2 chain="+age*age", out="V1+V1*age+age*age+V2" */ |
| if(strloc != NULL){ |
if(strloc != NULL){ |
| /* will affect out */ /* strloc+strlenc(chain)=+V2 */ /* Will also work in Unicode */ |
/* will affect out */ /* strloc+strlen(chain)=|+V2 = "V1+V1*age+age*age|+V2" */ /* Will also work in Unicodek */ |
| memmove(strloc,strloc+strlen(chain), strlen(strloc+strlen(chain))+1); |
memmove(strloc,strloc+strlen(chain), strlen(strloc+strlen(chain))+1); /* move number of bytes corresponding to the length of "+V2" which is 3, plus one is 4 (including the null)*/ |
| /* strcpy (strloc, strloc +strlen(chain));*/ |
/* equivalent to strcpy (strloc, strloc +strlen(chain)) if no overlap; Copies from "+V2" to V1+V1*age+ */ |
| } |
} |
| printf("Aft strloc=%s chain=%s in=%s out=%s \n", strloc, chain, in, out); |
printf("Aft strloc=%s chain=%s in=%s out=%s \n", strloc, chain, in, out); /* strloc=+V2 chain="+age*age", in="V1+V1*age+age*age+V2", out="V1+V1*age+V2" */ |
| return out; |
return out; |
| } |
} |
| |
|
|
Line 1744 char *substrchaine(char *out, char *in,
|
Line 1873 char *substrchaine(char *out, char *in,
|
| char *cutl(char *blocc, char *alocc, char *in, char occ) |
char *cutl(char *blocc, char *alocc, char *in, char occ) |
| { |
{ |
| /* 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 cutl(blocc,alocc,"abcdef2ghi2j",'2') |
| gives alocc="abcdef" and blocc="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 |
| */ |
*/ |
|
Line 1810 int nbocc(char *s, char occ)
|
Line 1939 int nbocc(char *s, char occ)
|
| return j; |
return j; |
| } |
} |
| |
|
| |
int nboccstr(char *textin, char *chain) |
| |
{ |
| |
/* Counts the number of occurence of "chain" in string textin */ |
| |
/* in="+V7*V4+age*V2+age*V3+age*V4" chain="age" */ |
| |
char *strloc; |
| |
|
| |
int i,j=0; |
| |
|
| |
i=0; |
| |
|
| |
strloc=textin; /* strloc points to "^+V7*V4+age+..." in textin */ |
| |
for(;;) { |
| |
strloc= strstr(strloc,chain); /* strloc points to first character of chain in textin if found. Example strloc points^ to "+V7*V4+^age" in textin */ |
| |
if(strloc != NULL){ |
| |
strloc = strloc+strlen(chain); /* strloc points to "+V7*V4+age^" in textin */ |
| |
j++; |
| |
}else |
| |
break; |
| |
} |
| |
return j; |
| |
|
| |
} |
| /* void cutv(char *u,char *v, char*t, char occ) */ |
/* void cutv(char *u,char *v, char*t, char occ) */ |
| /* { */ |
/* { */ |
| /* /\* cuts string t into u and v where u ends before last occurence of char 'occ' */ |
/* /\* cuts string t into u and v where u ends before last occurence of char 'occ' */ |
|
Line 2489 void powell(double p[], double **xi, int
|
Line 2640 void powell(double p[], double **xi, int
|
| double fp,fptt; |
double fp,fptt; |
| double *xits; |
double *xits; |
| int niterf, itmp; |
int niterf, itmp; |
| |
int Bigter=0, nBigterf=1; |
| |
|
| pt=vector(1,n); |
pt=vector(1,n); |
| ptt=vector(1,n); |
ptt=vector(1,n); |
| xit=vector(1,n); |
xit=vector(1,n); |
| xits=vector(1,n); |
xits=vector(1,n); |
| *fret=(*func)(p); |
*fret=(*func)(p); |
| for (j=1;j<=n;j++) pt[j]=p[j]; |
for (j=1;j<=n;j++) pt[j]=p[j]; |
| rcurr_time = time(NULL); |
rcurr_time = time(NULL); |
| |
fp=(*fret); /* Initialisation */ |
| for (*iter=1;;++(*iter)) { |
for (*iter=1;;++(*iter)) { |
| ibig=0; |
ibig=0; |
| del=0.0; |
del=0.0; |
| rlast_time=rcurr_time; |
rlast_time=rcurr_time; |
| |
rlast_btime=rcurr_time; |
| /* (void) gettimeofday(&curr_time,&tzp); */ |
/* (void) gettimeofday(&curr_time,&tzp); */ |
| rcurr_time = time(NULL); |
rcurr_time = time(NULL); |
| curr_time = *localtime(&rcurr_time); |
curr_time = *localtime(&rcurr_time); |
| printf("\nPowell iter=%d -2*LL=%.12f gain=%.12f=%.3g %ld sec. %ld sec.",*iter,*fret, fp-*fret,fp-*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout); |
/* printf("\nPowell iter=%d -2*LL=%.12f gain=%.12f=%.3g %ld sec. %ld sec.",*iter,*fret, fp-*fret,fp-*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout); */ |
| fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f gain=%.12f=%.3g %ld sec. %ld sec.",*iter,*fret, fp-*fret,fp-*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog); |
/* fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f gain=%.12f=%.3g %ld sec. %ld sec.",*iter,*fret, fp-*fret,fp-*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog); */ |
| /* fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tm_sec-start_time.tm_sec); */ |
Bigter=(*iter - *iter % ncovmodel)/ncovmodel +1; /* Big iteration, i.e on ncovmodel cycle */ |
| |
printf("\nPowell iter=%d Big Iter=%d -2*LL=%.12f gain=%.3lg %ld sec. %ld sec.",*iter,Bigter,*fret,fp-*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout); |
| |
fprintf(ficlog,"\nPowell iter=%d Big Iter=%d -2*LL=%.12f gain=%.3lg %ld sec. %ld sec.",*iter,Bigter,*fret,fp-*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog); |
| |
fprintf(ficrespow,"%d %d %.12f %d",*iter,Bigter, *fret,curr_time.tm_sec-start_time.tm_sec); |
| fp=(*fret); /* From former iteration or initial value */ |
fp=(*fret); /* From former iteration or initial value */ |
| for (i=1;i<=n;i++) { |
for (i=1;i<=n;i++) { |
| fprintf(ficrespow," %.12lf", p[i]); |
fprintf(ficrespow," %.12lf", p[i]); |
|
Line 2528 void powell(double p[], double **xi, int
|
Line 2685 void powell(double p[], double **xi, int
|
| }else if(Typevar[j]==2) { |
}else if(Typevar[j]==2) { |
| printf(" + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
printf(" + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| fprintf(ficlog," + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
fprintf(ficlog," + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| |
}else if(Typevar[j]==3) { |
| |
printf(" + V%d*V%d*age ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| |
fprintf(ficlog," + V%d*V%d*age ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| } |
} |
| } |
} |
| printf("\n"); |
printf("\n"); |
|
Line 2558 void powell(double p[], double **xi, int
|
Line 2718 void powell(double p[], double **xi, int
|
| strcurr[itmp-1]='\0'; |
strcurr[itmp-1]='\0'; |
| printf("\nConsidering the time needed for the last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time); |
printf("\nConsidering the time needed for the last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time); |
| fprintf(ficlog,"\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time); |
fprintf(ficlog,"\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time); |
| for(niterf=10;niterf<=30;niterf+=10){ |
for(nBigterf=1;nBigterf<=31;nBigterf+=10){ |
| |
niterf=nBigterf*ncovmodel; |
| |
/* rforecast_time=rcurr_time+(niterf-*iter)*(rcurr_time-rlast_time); */ |
| rforecast_time=rcurr_time+(niterf-*iter)*(rcurr_time-rlast_time); |
rforecast_time=rcurr_time+(niterf-*iter)*(rcurr_time-rlast_time); |
| forecast_time = *localtime(&rforecast_time); |
forecast_time = *localtime(&rforecast_time); |
| strcpy(strfor,asctime(&forecast_time)); |
strcpy(strfor,asctime(&forecast_time)); |
| itmp = strlen(strfor); |
itmp = strlen(strfor); |
| if(strfor[itmp-1]=='\n') |
if(strfor[itmp-1]=='\n') |
| strfor[itmp-1]='\0'; |
strfor[itmp-1]='\0'; |
| printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr); |
printf(" - if your program needs %d BIG iterations (%d iterations) to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",nBigterf, niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr); |
| fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr); |
fprintf(ficlog," - if your program needs %d BIG iterations (%d iterations) to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",nBigterf, niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr); |
| } |
} |
| } |
} |
| for (i=1;i<=n;i++) { /* For each direction i */ |
for (i=1;i<=n;i++) { /* For each direction i */ |
|
Line 2808 void powell(double p[], double **xi, int
|
Line 2970 void powell(double p[], double **xi, int
|
| |
|
| double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij, int nres) |
double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij, int nres) |
| { |
{ |
| /**< Computes the prevalence limit in each live state at age x and for covariate combination ij |
/**< Computes the prevalence limit in each live state at age x and for covariate combination ij . Nicely done |
| * (and selected quantitative values in nres) |
* (and selected quantitative values in nres) |
| * by left multiplying the unit |
* by left multiplying the unit |
| * matrix by transitions matrix until convergence is reached with precision ftolpl |
* matrix by transitions matrix until convergence is reached with precision ftolpl |
|
Line 2867 void powell(double p[], double **xi, int
|
Line 3029 void powell(double p[], double **xi, int
|
| /* Model(2) V1 + V2 + V3 + V8 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */ |
/* Model(2) V1 + V2 + V3 + V8 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */ |
| /* total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and age*age */ |
/* total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and age*age */ |
| for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
| if(Typevar[k1]==1){ /* A product with age */ |
if(Typevar[k1]==1 || Typevar[k1]==3){ /* A product with age */ |
| cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
| }else{ |
}else{ |
| cov[2+nagesqr+k1]=precov[nres][k1]; |
cov[2+nagesqr+k1]=precov[nres][k1]; |
|
Line 3077 void powell(double p[], double **xi, int
|
Line 3239 void powell(double p[], double **xi, int
|
| cov[3]= agefin*agefin;; |
cov[3]= agefin*agefin;; |
| } |
} |
| for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
| if(Typevar[k1]==1){ /* A product with age */ |
if(Typevar[k1]==1 || Typevar[k1]==3){ /* A product with age */ |
| cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
| }else{ |
}else{ |
| cov[2+nagesqr+k1]=precov[nres][k1]; |
cov[2+nagesqr+k1]=precov[nres][k1]; |
|
Line 3256 double **pmij(double **ps, double *cov,
|
Line 3418 double **pmij(double **ps, double *cov,
|
| for(i=1; i<= nlstate; i++){ |
for(i=1; i<= nlstate; i++){ |
| s1=0; |
s1=0; |
| for(j=1; j<i; j++){ |
for(j=1; j<i; j++){ |
| |
/* printf("debug1 %d %d ps=%lf exp(ps)=%lf \n",i,j,ps[i][j],exp(ps[i][j])); */ |
| s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
| /* printf("debug1 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */ |
|
| } |
} |
| for(j=i+1; j<=nlstate+ndeath; j++){ |
for(j=i+1; j<=nlstate+ndeath; j++){ |
| |
/* printf("debug2 %d %d ps=%lf exp(ps)=%lf \n",i,j,ps[i][j],exp(ps[i][j])); */ |
| s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
| /* printf("debug2 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */ |
|
| } |
} |
| /* s1= sum_{j<>i} pij/pii=(1-pii)/pii and thus pii is known from s1 */ |
/* s1= sum_{j<>i} pij/pii=(1-pii)/pii and thus pii is known from s1 */ |
| ps[i][i]=1./(s1+1.); |
ps[i][i]=1./(s1+1.); |
|
Line 3505 double **matprod2(double **out, double *
|
Line 3667 double **matprod2(double **out, double *
|
| |
|
| double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij, int nres ) |
double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij, int nres ) |
| { |
{ |
| /* Computes the transition matrix starting at age 'age' and dummies values in each resultline (loop on ij to find the corresponding combination) to over |
/* Already optimized with precov. |
| |
Computes the transition matrix starting at age 'age' and dummies values in each resultline (loop on ij to find the corresponding combination) to over |
| 'nhstepm*hstepm*stepm' months (i.e. until |
'nhstepm*hstepm*stepm' months (i.e. until |
| age (in years) age+nhstepm*hstepm*stepm/12) by multiplying |
age (in years) age+nhstepm*hstepm*stepm/12) by multiplying |
| nhstepm*hstepm matrices. |
nhstepm*hstepm matrices. |
|
Line 3543 double ***hpxij(double ***po, int nhstep
|
Line 3706 double ***hpxij(double ***po, int nhstep
|
| /* Model(2) V1 + V2 + V3 + V8 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */ |
/* Model(2) V1 + V2 + V3 + V8 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */ |
| /* total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and age*age */ |
/* total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and age*age */ |
| for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
| if(Typevar[k1]==1){ /* A product with age */ |
if(Typevar[k1]==1 || Typevar[k1]==3){ /* A product with age */ |
| cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
| }else{ |
}else{ |
| cov[2+nagesqr+k1]=precov[nres][k1]; |
cov[2+nagesqr+k1]=precov[nres][k1]; |
|
Line 3729 double ***hbxij(double ***po, int nhstep
|
Line 3892 double ***hbxij(double ***po, int nhstep
|
| } |
} |
| /** New code */ |
/** New code */ |
| for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
| if(Typevar[k1]==1){ /* A product with age */ |
if(Typevar[k1]==1 || Typevar[k1]==3){ /* A product with age */ |
| cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
| }else{ |
}else{ |
| cov[2+nagesqr+k1]=precov[nres][k1]; |
cov[2+nagesqr+k1]=precov[nres][k1]; |
|
Line 3836 double ***hbxij(double ***po, int nhstep
|
Line 3999 double ***hbxij(double ***po, int nhstep
|
| /*************** log-likelihood *************/ |
/*************** log-likelihood *************/ |
| double func( double *x) |
double func( double *x) |
| { |
{ |
| int i, ii, j, k, mi, d, kk; |
int i, ii, j, k, mi, d, kk, kf=0; |
| int ioffset=0; |
int ioffset=0; |
| |
int ipos=0,iposold=0,ncovv=0; |
| |
|
| |
double cotvarv, cotvarvold; |
| double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; |
double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; |
| double **out; |
double **out; |
| double lli; /* Individual log likelihood */ |
double lli; /* Individual log likelihood */ |
| int s1, s2; |
int s1, s2; |
| int iv=0, iqv=0, itv=0, iqtv=0 ; /* Index of varying covariate, fixed quantitative cov, time varying covariate, quantitative time varying covariate */ |
int iv=0, iqv=0, itv=0, iqtv=0 ; /* Index of varying covariate, fixed quantitative cov, time varying covariate, quantitative time varying covariate */ |
| |
|
| double bbh, survp; |
double bbh, survp; |
| long ipmx; |
|
| double agexact; |
double agexact; |
| |
double agebegin, ageend; |
| /*extern weight */ |
/*extern weight */ |
| /* We are differentiating ll according to initial status */ |
/* We are differentiating ll according to initial status */ |
| /* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/ |
/* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/ |
|
Line 3868 double func( double *x)
|
Line 4035 double func( double *x)
|
| */ |
*/ |
| ioffset=2+nagesqr ; |
ioffset=2+nagesqr ; |
| /* Fixed */ |
/* Fixed */ |
| for (k=1; k<=ncovf;k++){ /* For each fixed covariate dummu or quant or prod */ |
for (kf=1; kf<=ncovf;kf++){ /* For each fixed covariate dummy or quant or prod */ |
| /* # V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi */ |
/* # V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi */ |
| /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| /* TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 ID of fixed covariates or product V2, V1*V2, V1 */ |
/* TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 ID of fixed covariates or product V2, V1*V2, V1 */ |
| /* TvarFind; TvarFind[1]=6, TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod) */ |
/* TvarFind; TvarFind[1]=6, TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod) */ |
| 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 (TvarFind[1]=6)*/ |
cov[ioffset+TvarFind[kf]]=covar[Tvar[TvarFind[kf]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (TvarFind[1]=6)*/ |
| /* V1*V2 (7) TvarFind[2]=7, TvarFind[3]=9 */ |
/* V1*V2 (7) TvarFind[2]=7, TvarFind[3]=9 */ |
| } |
} |
| /* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] |
/* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] |
|
Line 3884 double func( double *x)
|
Line 4051 double func( double *x)
|
| mw[mi][i] is real wave of the mi th effectve wave */ |
mw[mi][i] is real wave of the mi th effectve wave */ |
| /* Then statuses are computed at each begin and end of an effective wave s1=s[ mw[mi][i] ][i]; |
/* Then statuses are computed at each begin and end of an effective wave s1=s[ mw[mi][i] ][i]; |
| s2=s[mw[mi+1][i]][i]; |
s2=s[mw[mi+1][i]][i]; |
| And the iv th varying covariate is the cotvar[mw[mi+1][i]][iv][i] |
And the iv th varying covariate is the cotvar[mw[mi+1][i]][iv][i] because now is moved after nvocol+nqv |
| But if the variable is not in the model TTvar[iv] is the real variable effective in the model: |
But if the variable is not in the model TTvar[iv] is the real variable effective in the model: |
| meaning that decodemodel should be used cotvar[mw[mi+1][i]][TTvar[iv]][i] |
meaning that decodemodel should be used cotvar[mw[mi+1][i]][TTvar[iv]][i] |
| */ |
*/ |
| for(mi=1; mi<= wav[i]-1; mi++){ |
for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */ |
| for(k=1; k <= ncovv ; k++){ /* Varying covariates in the model (single and product but no age )"V5+V4+V3+V4*V3+V5*age+V1*age+V1" +TvarVind 1,2,3,4(V4*V3) Tvar[1]@7{5, 4, 3, 6, 5, 1, 1 ; 6 because the created covar is after V5 and is 6, minus 1+1, 3,2,1,4 positions in cotvar*/ |
/* Wave varying (but not age varying) */ |
| /* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; but where is the crossproduct? */ |
/* for(k=1; k <= ncovv ; k++){ /\* Varying covariates in the model (single and product but no age )"V5+V4+V3+V4*V3+V5*age+V1*age+V1" +TvarVind 1,2,3,4(V4*V3) Tvar[1]@7{5, 4, 3, 6, 5, 1, 1 ; 6 because the created covar is after V5 and is 6, minus 1+1, 3,2,1,4 positions in cotvar*\/ */ |
| cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; |
/* /\* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; but where is the crossproduct? *\/ */ |
| |
/* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; */ |
| |
/* } */ |
| |
for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ /* Varying covariates (single and product but no age )*/ |
| |
itv=TvarVV[ncovv]; /* TvarVV={3, 1, 3} gives the name of each varying covariate */ |
| |
ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ |
| |
if(FixedV[itv]!=0){ /* Not a fixed covariate */ |
| |
cotvarv=cotvar[mw[mi][i]][TvarVV[ncovv]][i]; /* cotvar[wav][ncovcol+nqv+iv][i] */ |
| |
}else{ /* fixed covariate */ |
| |
cotvarv=covar[itv][i]; /* Error: TvarFind gives the name, that is the true column of fixed covariates, but Tvar of the model */ |
| |
} |
| |
if(ipos!=iposold){ /* Not a product or first of a product */ |
| |
cotvarvold=cotvarv; |
| |
}else{ /* A second product */ |
| |
cotvarv=cotvarv*cotvarvold; |
| |
} |
| |
iposold=ipos; |
| |
cov[ioffset+ipos]=cotvarv; |
| } |
} |
| |
/* for products of time varying to be done */ |
| for (ii=1;ii<=nlstate+ndeath;ii++) |
for (ii=1;ii<=nlstate+ndeath;ii++) |
| for (j=1;j<=nlstate+ndeath;j++){ |
for (j=1;j<=nlstate+ndeath;j++){ |
| oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
| savm[ii][j]=(ii==j ? 1.0 : 0.0); |
savm[ii][j]=(ii==j ? 1.0 : 0.0); |
| } |
} |
| |
|
| |
agebegin=agev[mw[mi][i]][i]; /* Age at beginning of effective wave */ |
| |
ageend=agev[mw[mi][i]][i] + (dh[mi][i])*stepm/YEARM; /* Age at end of effective wave and at the end of transition */ |
| for(d=0; d<dh[mi][i]; d++){ |
for(d=0; d<dh[mi][i]; d++){ |
| newm=savm; |
newm=savm; |
| agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
| cov[2]=agexact; |
cov[2]=agexact; |
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= agexact*agexact; /* Should be changed here */ |
cov[3]= agexact*agexact; /* Should be changed here */ |
| for (kk=1; kk<=cptcovage;kk++) { |
/* for (kk=1; kk<=cptcovage;kk++) { */ |
| if(!FixedV[Tvar[Tage[kk]]]) |
/* if(!FixedV[Tvar[Tage[kk]]]) */ |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ |
/* cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /\* Tage[kk] gives the data-covariate associated with age *\/ */ |
| else |
/* else */ |
| cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]*agexact; |
/* cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]*agexact; /\* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) *\/ */ |
| |
/* } */ |
| |
for(ncovva=1, iposold=0; ncovva <= ncovta ; ncovva++){ /* Time varying covariates with age including individual from products, product is computed dynamically */ |
| |
itv=TvarAVVA[ncovva]; /* TvarVV={3, 1, 3} gives the name of each varying covariate, exploding product Vn*Vm into Vn and then Vm */ |
| |
ipos=TvarAVVAind[ncovva]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ |
| |
if(FixedV[itv]!=0){ /* Not a fixed covariate? Could be a fixed covariate of a product with a higher than ncovcol+nqv, itv */ |
| |
cotvarv=cotvar[mw[mi][i]][TvarAVVA[ncovva]][i]; /* because cotvar starts now at first ncovcol+nqv+ntv+nqtv (1 to nqtv) */ |
| |
}else{ /* fixed covariate */ |
| |
cotvarv=covar[itv][i]; /* Error: TvarFind gives the name, that is the true column of fixed covariates, but Tvar of the model */ |
| |
} |
| |
if(ipos!=iposold){ /* Not a product or first of a product */ |
| |
cotvarvold=cotvarv; |
| |
}else{ /* A second product */ |
| |
cotvarv=cotvarv*cotvarvold; |
| |
} |
| |
iposold=ipos; |
| |
cov[ioffset+ipos]=cotvarv*agexact; |
| |
/* For products */ |
| } |
} |
| |
|
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
| savm=oldm; |
savm=oldm; |
|
Line 3988 double func( double *x)
|
Line 4194 double func( double *x)
|
| /*survp += out[s1][j]; */ |
/*survp += out[s1][j]; */ |
| lli= log(survp); |
lli= log(survp); |
| } |
} |
| else if (s2==-4) { |
/* else if (s2==-4) { */ |
| for (j=3,survp=0. ; j<=nlstate; j++) |
/* for (j=3,survp=0. ; j<=nlstate; j++) */ |
| survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; |
/* survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; */ |
| lli= log(survp); |
/* lli= log(survp); */ |
| } |
/* } */ |
| else if (s2==-5) { |
/* else if (s2==-5) { */ |
| for (j=1,survp=0. ; j<=2; j++) |
/* for (j=1,survp=0. ; j<=2; j++) */ |
| survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; |
/* survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; */ |
| lli= log(survp); |
/* lli= log(survp); */ |
| } |
/* } */ |
| else{ |
else{ |
| lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
| /* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2]));*/ /* linear interpolation */ |
/* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2]));*/ /* linear interpolation */ |
| } |
} |
| /*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/ |
/*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/ |
| /*if(lli ==000.0)*/ |
/*if(lli ==000.0)*/ |
| /*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */ |
/* printf("num[i], i=%d, bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */ |
| ipmx +=1; |
ipmx +=1; |
| sw += weight[i]; |
sw += weight[i]; |
| ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
|
Line 4021 double func( double *x)
|
Line 4227 double func( double *x)
|
| cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i]; |
cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i]; |
| for(mi=1; mi<= wav[i]-1; mi++){ |
for(mi=1; mi<= wav[i]-1; mi++){ |
| for(k=1; k <= ncovv ; k++){ |
for(k=1; k <= ncovv ; k++){ |
| cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; |
cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
| } |
} |
| for (ii=1;ii<=nlstate+ndeath;ii++) |
for (ii=1;ii<=nlstate+ndeath;ii++) |
| for (j=1;j<=nlstate+ndeath;j++){ |
for (j=1;j<=nlstate+ndeath;j++){ |
|
Line 4068 double func( double *x)
|
Line 4274 double func( double *x)
|
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
| for (kk=1; kk<=cptcovage;kk++) { |
for (kk=1; kk<=cptcovage;kk++) { |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
if(!FixedV[Tvar[Tage[kk]]]) |
| |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ |
| |
else |
| |
cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]*agexact; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
| } |
} |
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
|
Line 4124 double func( double *x)
|
Line 4333 double func( double *x)
|
| ipmx +=1; |
ipmx +=1; |
| sw += weight[i]; |
sw += weight[i]; |
| ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
| /* printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */ |
/* printf("num[i]=%09ld, i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2])); */ |
| } /* end of wave */ |
} /* end of wave */ |
| } /* end of individual */ |
} /* end of individual */ |
| }else{ /* ml=5 no inter-extrapolation no jackson =0.8a */ |
}else{ /* ml=5 no inter-extrapolation no jackson =0.8a */ |
|
Line 4143 double func( double *x)
|
Line 4352 double func( double *x)
|
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
| for (kk=1; kk<=cptcovage;kk++) { |
for (kk=1; kk<=cptcovage;kk++) { |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
if(!FixedV[Tvar[Tage[kk]]]) |
| |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ |
| |
else |
| |
cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]*agexact; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
| } |
} |
| |
|
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
|
Line 4172 double func( double *x)
|
Line 4384 double func( double *x)
|
| double funcone( double *x) |
double funcone( double *x) |
| { |
{ |
| /* Same as func but slower because of a lot of printf and if */ |
/* Same as func but slower because of a lot of printf and if */ |
| int i, ii, j, k, mi, d, kk; |
int i, ii, j, k, mi, d, kk, kv=0, kf=0; |
| int ioffset=0; |
int ioffset=0; |
| |
int ipos=0,iposold=0,ncovv=0; |
| |
|
| |
double cotvarv, cotvarvold; |
| double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; |
double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; |
| double **out; |
double **out; |
| double lli; /* Individual log likelihood */ |
double lli; /* Individual log likelihood */ |
|
Line 4195 double funcone( double *x)
|
Line 4410 double funcone( double *x)
|
| for(k=1; k<=nlstate; k++) ll[k]=0.; |
for(k=1; k<=nlstate; k++) ll[k]=0.; |
| ioffset=0; |
ioffset=0; |
| for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
| |
/* Computes the values of the ncovmodel covariates of the model |
| |
depending if the covariates are fixed or varying (age dependent) and stores them in cov[] |
| |
Then computes with function pmij which return a matrix p[i][j] giving the elementary probability |
| |
to be observed in j being in i according to the model. |
| |
*/ |
| /* ioffset=2+nagesqr+cptcovage; */ |
/* ioffset=2+nagesqr+cptcovage; */ |
| ioffset=2+nagesqr; |
ioffset=2+nagesqr; |
| /* 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 *//* Missing values are set to -1 but should be dropped */ |
for (kf=1; kf<=ncovf;kf++){ /* V2 + V3 + V4 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)*/ |
/* printf("Debug3 TvarFind[%d]=%d",kf, TvarFind[kf]); */ |
| |
/* printf(" Tvar[TvarFind[kf]]=%d", Tvar[TvarFind[kf]]); */ |
| |
/* printf(" i=%d covar[Tvar[TvarFind[kf]]][i]=%f\n",i,covar[Tvar[TvarFind[kf]]][i]); */ |
| |
cov[ioffset+TvarFind[kf]]=covar[Tvar[TvarFind[kf]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ |
| /* cov[ioffset+TvarFind[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]; */ |
| /* cov[2+6]=covar[2][i]; V2 */ |
/* cov[2+6]=covar[2][i]; V2 */ |
|
Line 4212 double funcone( double *x)
|
Line 4435 double funcone( double *x)
|
| /* cov[2+9]=covar[Tvar[9]][i]; */ |
/* cov[2+9]=covar[Tvar[9]][i]; */ |
| /* cov[2+9]=covar[1][i]; V1 */ |
/* cov[2+9]=covar[1][i]; V1 */ |
| } |
} |
| |
/* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] |
| |
is 5, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2]=6 |
| |
has been calculated etc */ |
| |
/* For an individual i, wav[i] gives the number of effective waves */ |
| |
/* We compute the contribution to Likelihood of each effective transition |
| |
mw[mi][i] is real wave of the mi th effectve wave */ |
| |
/* Then statuses are computed at each begin and end of an effective wave s1=s[ mw[mi][i] ][i]; |
| |
s2=s[mw[mi+1][i]][i]; |
| |
And the iv th varying covariate in the DATA is the cotvar[mw[mi+1][i]][ncovcol+nqv+iv][i] |
| |
*/ |
| |
/* This part may be useless now because everythin should be in covar */ |
| /* for (k=1; k<=nqfveff;k++){ /\* Simple and product fixed Quantitative covariates without age* products *\/ */ |
/* for (k=1; k<=nqfveff;k++){ /\* Simple and product fixed Quantitative covariates without age* products *\/ */ |
| /* cov[++ioffset]=coqvar[TvarFQ[k]][i];/\* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V2 and V1*V2 is fixed (k=6 and 7?)*\/ */ |
/* cov[++ioffset]=coqvar[TvarFQ[k]][i];/\* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V2 and V1*V2 is fixed (k=6 and 7?)*\/ */ |
| /* } */ |
/* } */ |
|
Line 4221 double funcone( double *x)
|
Line 4455 double funcone( double *x)
|
| |
|
| |
|
| for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */ |
for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */ |
| /* Wave varying (but not age varying) */ |
/* Wave varying (but not age varying) *//* V1+V3+age*V1+age*V3+V1*V3 with V4 tv and V5 tvq k= 1 to 5 and extra at V(5+1)=6 for V1*V3 */ |
| for(k=1; k <= ncovv ; k++){ /* Varying covariates (single and product but no age )*/ |
/* for(k=1; k <= ncovv ; k++){ /\* Varying covariates (single and product but no age )*\/ */ |
| /* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; */ |
/* /\* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; *\/ */ |
| cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; |
/* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; */ |
| } |
/* } */ |
| /* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates (single??)*\/ */ |
|
| /* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; /\* Counting the # varying covariate from 1 to ntveff *\/ */ |
/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
| /* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; */ |
/* model V1+V3+age*V1+age*V3+V1*V3 */ |
| /* k=ioffset-2-nagesqr-cptcovage+itv; /\* position in simple model *\/ */ |
/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
| /* cov[ioffset+itv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; */ |
/* TvarVV[1]=V3 (first time varying in the model equation, TvarVV[2]=V1 (in V1*V3) TvarVV[3]=3(V3) */ |
| /* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][TmodelInvind[itv]][i]=%f\n", i, mi, itv, TmodelInvind[itv],cotvar[mw[mi][i]][TmodelInvind[itv]][i]); */ |
/* We need the position of the time varying or product in the model */ |
| |
/* TvarVVind={2,5,5}, for V3 at position 2 and then the product V1*V3 is decomposed into V1 and V3 but at same position 5 */ |
| |
/* TvarVV gives the variable name */ |
| |
/* Other example V1 + V3 + V5 + age*V1 + age*V3 + age*V5 + V1*V3 + V3*V5 + V1*V5 |
| |
* k= 1 2 3 4 5 6 7 8 9 |
| |
* varying 1 2 3 4 5 |
| |
* ncovv 1 2 3 4 5 6 7 8 |
| |
* TvarVV[ncovv] V3 5 1 3 3 5 1 5 |
| |
* TvarVVind 2 3 7 7 8 8 9 9 |
| |
* TvarFind[k] 1 0 0 0 0 0 0 0 0 |
| |
*/ |
| |
/* Other model ncovcol=5 nqv=0 ntv=3 nqtv=0 nlstate=3 |
| |
* V2 V3 V4 are fixed V6 V7 are timevarying so V8 and V5 are not in the model and product column will start at 9 Tvar[(v6*V2)6]=9 |
| |
* FixedV[ncovcol+qv+ntv+nqtv] V5 |
| |
* 3 V1 V2 V3 V4 V5 V6 V7 V8 V3*V2 V7*V2 V6*V3 V7*V3 V6*V4 V7*V4 |
| |
* 0 0 0 0 0 1 1 1 0, 0, 1,1, 1, 0, 1, 0, 1, 0, 1, 0} |
| |
* 3 0 0 0 0 0 1 1 1 0, 1 1 1 1 1} |
| |
* model= V2 + V3 + V4 + V6 + V7 + V6*V2 + V7*V2 + V6*V3 + V7*V3 + V6*V4 + V7*V4 |
| |
* +age*V2 +age*V3 +age*V4 +age*V6 + age*V7 |
| |
* +age*V6*V2 + age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 |
| |
* model2= V2 + V3 + V4 + V6 + V7 + V3*V2 + V7*V2 + V6*V3 + V7*V3 + V6*V4 + V7*V4 |
| |
* +age*V2 +age*V3 +age*V4 +age*V6 + age*V7 |
| |
* +age*V3*V2 + age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 |
| |
* model3= V2 + V3 + V4 + V6 + V7 + age*V3*V2 + V7*V2 + V6*V3 + V7*V3 + V6*V4 + V7*V4 |
| |
* +age*V2 +age*V3 +age*V4 +age*V6 + age*V7 |
| |
* +V3*V2 + age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 |
| |
* kmodel 1 2 3 4 5 6 7 8 9 10 11 |
| |
* 12 13 14 15 16 |
| |
* 17 18 19 20 21 |
| |
* Tvar[kmodel] 2 3 4 6 7 9 10 11 12 13 14 |
| |
* 2 3 4 6 7 |
| |
* 9 11 12 13 14 |
| |
* cptcovage=5+5 total of covariates with age |
| |
* Tage[cptcovage] age*V2=12 13 14 15 16 |
| |
*1 17 18 19 20 21 gives the position in model of covariates associated with age |
| |
*3 Tage[cptcovage] age*V3*V2=6 |
| |
*3 age*V2=12 13 14 15 16 |
| |
*3 age*V6*V3=18 19 20 21 |
| |
* Tvar[Tage[cptcovage]] Tvar[12]=2 3 4 6 Tvar[16]=7(age*V7) |
| |
* Tvar[17]age*V6*V2=9 Tvar[18]age*V6*V3=11 age*V7*V3=12 age*V6*V4=13 Tvar[21]age*V7*V4=14 |
| |
* 2 Tvar[17]age*V3*V2=9 Tvar[18]age*V6*V3=11 age*V7*V3=12 age*V6*V4=13 Tvar[21]age*V7*V4=14 |
| |
* 3 Tvar[Tage[cptcovage]] Tvar[6]=9 Tvar[12]=2 3 4 6 Tvar[16]=7(age*V7) |
| |
* 3 Tvar[18]age*V6*V3=11 age*V7*V3=12 age*V6*V4=13 Tvar[21]age*V7*V4=14 |
| |
* 3 Tage[cptcovage] age*V3*V2=6 age*V2=12 age*V3 13 14 15 16 |
| |
* age*V6*V3=18 19 20 21 gives the position in model of covariates associated with age |
| |
* 3 Tvar[17]age*V3*V2=9 Tvar[18]age*V6*V3=11 age*V7*V3=12 age*V6*V4=13 Tvar[21]age*V7*V4=14 |
| |
* Tvar= {2, 3, 4, 6, 7, |
| |
* 9, 10, 11, 12, 13, 14, |
| |
* Tvar[12]=2, 3, 4, 6, 7, |
| |
* Tvar[17]=9, 11, 12, 13, 14} |
| |
* Typevar[1]@21 = {0, 0, 0, 0, 0, |
| |
* 2, 2, 2, 2, 2, 2, |
| |
* 3 3, 2, 2, 2, 2, 2, |
| |
* 1, 1, 1, 1, 1, |
| |
* 3, 3, 3, 3, 3} |
| |
* 3 2, 3, 3, 3, 3} |
| |
* p Tposprod[1]@21 {0, 0, 0, 0, 0, 1, 2, 3, 4, 5, 6, 0, 0, 0, 0, 0, 1, 3, 4, 5, 6} Id of the prod at position k in the model |
| |
* p Tprod[1]@21 {6, 7, 8, 9, 10, 11, 0 <repeats 15 times>} |
| |
* 3 Tposprod[1]@21 {0, 0, 0, 0, 0, 1, 2, 3, 4, 5, 6, 0, 0, 0, 0, 0, 1, 3, 4, 5, 6} |
| |
* 3 Tprod[1]@21 {17, 7, 8, 9, 10, 11, 0 <repeats 15 times>} |
| |
* cptcovprod=11 (6+5) |
| |
* FixedV[Tvar[Tage[cptcovage]]]] FixedV[2]=0 FixedV[3]=0 0 1 (age*V7)Tvar[16]=1 FixedV[absolute] not [kmodel] |
| |
* FixedV[Tvar[17]=FixedV[age*V6*V2]=FixedV[9]=1 1 1 1 1 |
| |
* 3 FixedV[Tvar[17]=FixedV[age*V3*V2]=FixedV[9]=0 [11]=1 1 1 1 |
| |
* FixedV[] V1=0 V2=0 V3=0 v4=0 V5=0 V6=1 V7=1 v8=1 OK then model dependent |
| |
* 9=1 [V7*V2]=[10]=1 11=1 12=1 13=1 14=1 |
| |
* 3 9=0 [V7*V2]=[10]=1 11=1 12=1 13=1 14=1 |
| |
* cptcovdageprod=5 for gnuplot printing |
| |
* cptcovprodvage=6 |
| |
* ncova=15 1 2 3 4 5 |
| |
* 6 7 8 9 10 11 12 13 14 15 |
| |
* TvarA 2 3 4 6 7 |
| |
* 6 2 6 7 7 3 6 4 7 4 |
| |
* TvaAind 12 12 13 13 14 14 15 15 16 16 |
| |
* ncovf 1 2 3 |
| |
* V6 V7 V6*V2 V7*V2 V6*V3 V7*V3 V6*V4 V7*V4 |
| |
* ncovvt=14 1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
| |
* TvarVV[1]@14 = itv {V6=6, 7, V6*V2=6, 2, 7, 2, 6, 3, 7, 3, 6, 4, 7, 4} |
| |
* TvarVVind[1]@14= {4, 5, 6, 6, 7, 7, 8, 8, 9, 9, 10, 10, 11, 11} |
| |
* 3 ncovvt=12 V6 V7 V7*V2 V6*V3 V7*V3 V6*V4 V7*V4 |
| |
* 3 TvarVV[1]@12 = itv {6, 7, V7*V2=7, 2, 6, 3, 7, 3, 6, 4, 7, 4} |
| |
* 3 1 2 3 4 5 6 7 8 9 10 11 12 |
| |
* TvarVVind[1]@12= {V6 is in k=4, 5, 7,(4isV2)=7, 8, 8, 9, 9, 10,10, 11,11}TvarVVind[12]=k=11 |
| |
* TvarV 6, 7, 9, 10, 11, 12, 13, 14 |
| |
* 3 cptcovprodvage=6 |
| |
* 3 ncovta=15 +age*V3*V2+age*V2+agev3+ageV4 +age*V6 + age*V7 + age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 |
| |
* 3 TvarAVVA[1]@15= itva 3 2 2 3 4 6 7 6 3 7 3 6 4 7 4 |
| |
* 3 ncovta 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
| |
* TvarAVVAind[1]@15= V3 is in k=2 1 1 2 3 4 5 4,2 5,2, 4,3 5 3}TvarVVAind[] |
| |
* TvarAVVAind[1]@15= V3 is in k=6 6 12 13 14 15 16 18 18 19,19, 20,20 21,21}TvarVVAind[] |
| |
* 3 ncovvta=10 +age*V6 + age*V7 + age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 |
| |
* 3 we want to compute =cotvar[mw[mi][i]][TvarVVA[ncovva]][i] at position TvarVVAind[ncovva] |
| |
* 3 TvarVVA[1]@10= itva 6 7 6 3 7 3 6 4 7 4 |
| |
* 3 ncovva 1 2 3 4 5 6 7 8 9 10 |
| |
* TvarVVAind[1]@10= V6 is in k=4 5 8,8 9, 9, 10,10 11 11}TvarVVAind[] |
| |
* TvarVVAind[1]@10= 15 16 18,18 19,19, 20,20 21 21}TvarVVAind[] |
| |
* TvarVA V3*V2=6 6 , 1, 2, 11, 12, 13, 14 |
| |
* TvarFind[1]@14= {1, 2, 3, 0 <repeats 12 times>} |
| |
* Tvar[1]@21= {2, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, |
| |
* 2, 3, 4, 6, 7, |
| |
* 6, 8, 9, 10, 11} |
| |
* TvarFind[itv] 0 0 0 |
| |
* FixedV[itv] 1 1 1 0 1 0 1 0 1 0 0 |
| |
* Tvar[TvarFind[ncovf]]=[1]=2 [2]=3 [4]=4 |
| |
* Tvar[TvarFind[itv]] [0]=? ?ncovv 1 à ncovvt] |
| |
* Not a fixed cotvar[mw][itv][i] 6 7 6 2 7, 2, 6, 3, 7, 3, 6, 4, 7, 4} |
| |
* fixed covar[itv] [6] [7] [6][2] |
| |
*/ |
| |
|
| |
for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ /* V6 V7 V7*V2 V6*V3 V7*V3 V6*V4 V7*V4 Time varying covariates (single and extended product but no age) including individual from products, product is computed dynamically */ |
| |
itv=TvarVV[ncovv]; /* TvarVV={3, 1, 3} gives the name of each varying covariate, or fixed covariate of a varying product after exploding product Vn*Vm into Vn and then Vm */ |
| |
ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ |
| |
/* if(TvarFind[itv]==0){ /\* Not a fixed covariate? Could be a fixed covariate of a product with a higher than ncovcol+nqv, itv *\/ */ |
| |
if(FixedV[itv]!=0){ /* Not a fixed covariate? Could be a fixed covariate of a product with a higher than ncovcol+nqv, itv */ |
| |
cotvarv=cotvar[mw[mi][i]][TvarVV[ncovv]][i]; /* because cotvar starts now at first ncovcol+nqv+ntv+nqtv (1 to nqtv) */ |
| |
}else{ /* fixed covariate */ |
| |
/* cotvarv=covar[Tvar[TvarFind[itv]]][i]; /\* Error: TvarFind gives the name, that is the true column of fixed covariates, but Tvar of the model *\/ */ |
| |
cotvarv=covar[itv][i]; /* Good: In V6*V3, 3 is fixed at position of the data */ |
| |
} |
| |
if(ipos!=iposold){ /* Not a product or first of a product */ |
| |
cotvarvold=cotvarv; |
| |
}else{ /* A second product */ |
| |
cotvarv=cotvarv*cotvarvold; |
| |
} |
| |
iposold=ipos; |
| |
cov[ioffset+ipos]=cotvarv; |
| |
/* For products */ |
| |
} |
| |
/* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates single *\/ */ |
| |
/* iv=TvarVDind[itv]; /\* iv, position in the model equation of time varying covariate itv *\/ */ |
| |
/* /\* "V1+V3+age*V1+age*V3+V1*V3" with V3 time varying *\/ */ |
| |
/* /\* 1 2 3 4 5 *\/ */ |
| |
/* /\*itv 1 *\/ */ |
| |
/* /\* TvarVInd[1]= 2 *\/ */ |
| |
/* /\* iv= Tvar[Tmodelind[itv]]-ncovcol-nqv; /\\* Counting the # varying covariate from 1 to ntveff *\\/ *\/ */ |
| |
/* /\* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; *\/ */ |
| |
/* /\* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; *\/ */ |
| |
/* /\* k=ioffset-2-nagesqr-cptcovage+itv; /\\* position in simple model *\\/ *\/ */ |
| |
/* /\* cov[ioffset+iv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; *\/ */ |
| |
/* cov[ioffset+iv]=cotvar[mw[mi][i]][itv][i]; */ |
| |
/* /\* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][itv][i]=%f\n", i, mi, itv, TvarVDind[itv],cotvar[mw[mi][i]][itv][i]); *\/ */ |
| |
/* } */ |
| /* for(iqtv=1; iqtv <= nqtveff; iqtv++){ /\* Varying quantitatives covariates *\/ */ |
/* for(iqtv=1; iqtv <= nqtveff; iqtv++){ /\* Varying quantitatives covariates *\/ */ |
| /* iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff *\/ */ |
/* iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff *\/ */ |
| /* /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); *\/ */ |
/* /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); *\/ */ |
|
Line 4254 double funcone( double *x)
|
Line 4629 double funcone( double *x)
|
| cov[2]=agexact; |
cov[2]=agexact; |
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
| for (kk=1; kk<=cptcovage;kk++) { |
for(ncovva=1, iposold=0; ncovva <= ncovta ; ncovva++){ /* Time varying covariates with age including individual from products, product is computed dynamically */ |
| if(!FixedV[Tvar[Tage[kk]]]) |
itv=TvarAVVA[ncovva]; /* TvarVV={3, 1, 3} gives the name of each varying covariate, exploding product Vn*Vm into Vn and then Vm */ |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
ipos=TvarAVVAind[ncovva]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ |
| else |
/* if(TvarFind[itv]==0){ /\* Not a fixed covariate? Could be a fixed covariate of a product with a higher than ncovcol+nqv, itv *\/ */ |
| cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]*agexact; |
if(FixedV[itv]!=0){ /* Not a fixed covariate? Could be a fixed covariate of a product with a higher than ncovcol+nqv, itv */ |
| |
/* printf("DEBUG ncovva=%d, Varying TvarAVVA[ncovva]=%d\n", ncovva, TvarAVVA[ncovva]); */ |
| |
cotvarv=cotvar[mw[mi][i]][TvarAVVA[ncovva]][i]; /* because cotvar starts now at first ncovcol+nqv+ntv+nqtv (1 to nqtv) */ |
| |
}else{ /* fixed covariate */ |
| |
/* cotvarv=covar[Tvar[TvarFind[itv]]][i]; /\* Error: TvarFind gives the name, that is the true column of fixed covariates, but Tvar of the model *\/ */ |
| |
/* printf("DEBUG ncovva=%d, Fixed TvarAVVA[ncovva]=%d\n", ncovva, TvarAVVA[ncovva]); */ |
| |
cotvarv=covar[itv][i]; /* Error: TvarFind gives the name, that is the true column of fixed covariates, but Tvar of the model */ |
| |
} |
| |
if(ipos!=iposold){ /* Not a product or first of a product */ |
| |
cotvarvold=cotvarv; |
| |
}else{ /* A second product */ |
| |
/* printf("DEBUG * \n"); */ |
| |
cotvarv=cotvarv*cotvarvold; |
| |
} |
| |
iposold=ipos; |
| |
/* printf("DEBUG Product cov[ioffset+ipos=%d] \n",ioffset+ipos); */ |
| |
cov[ioffset+ipos]=cotvarv*agexact; |
| |
/* For products */ |
| } |
} |
| |
|
| /* printf("i=%d,mi=%d,d=%d,mw[mi][i]=%d\n",i, mi,d,mw[mi][i]); */ |
/* printf("i=%d,mi=%d,d=%d,mw[mi][i]=%d\n",i, mi,d,mw[mi][i]); */ |
| /* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ |
/* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ |
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
|
Line 4269 double funcone( double *x)
|
Line 4662 double funcone( double *x)
|
| savm=oldm; |
savm=oldm; |
| oldm=newm; |
oldm=newm; |
| } /* end mult */ |
} /* end mult */ |
| |
/*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */ |
| |
/* But now since version 0.9 we anticipate for bias at large stepm. |
| |
* If stepm is larger than one month (smallest stepm) and if the exact delay |
| |
* (in months) between two waves is not a multiple of stepm, we rounded to |
| |
* the nearest (and in case of equal distance, to the lowest) interval but now |
| |
* we keep into memory the bias bh[mi][i] and also the previous matrix product |
| |
* (i.e to dh[mi][i]-1) saved in 'savm'. Then we inter(extra)polate the |
| |
* probability in order to take into account the bias as a fraction of the way |
| |
* from savm to out if bh is negative or even beyond if bh is positive. bh varies |
| |
* -stepm/2 to stepm/2 . |
| |
* For stepm=1 the results are the same as for previous versions of Imach. |
| |
* For stepm > 1 the results are less biased than in previous versions. |
| |
*/ |
| s1=s[mw[mi][i]][i]; |
s1=s[mw[mi][i]][i]; |
| s2=s[mw[mi+1][i]][i]; |
s2=s[mw[mi+1][i]][i]; |
| /* if(s2==-1){ */ |
/* if(s2==-1){ */ |
|
Line 4301 double funcone( double *x)
|
Line 4706 double funcone( double *x)
|
| ipmx +=1; |
ipmx +=1; |
| sw += weight[i]; |
sw += weight[i]; |
| ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
| /*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */ |
/* Printing covariates values for each contribution for checking */ |
| |
/* printf("num[i]=%09ld, i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2])); */ |
| if(globpr){ |
if(globpr){ |
| fprintf(ficresilk,"%09ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ |
fprintf(ficresilk,"%09ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ |
| %11.6f %11.6f %11.6f ", \ |
%11.6f %11.6f %11.6f ", \ |
| num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, |
num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, |
| 2*weight[i]*lli,(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2])); |
2*weight[i]*lli,(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2])); |
| |
/* printf("%09ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ */ |
| |
/* %11.6f %11.6f %11.6f ", \ */ |
| |
/* num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, */ |
| |
/* 2*weight[i]*lli,(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2])); */ |
| for(k=1,llt=0.,l=0.; k<=nlstate; k++){ |
for(k=1,llt=0.,l=0.; k<=nlstate; k++){ |
| llt +=ll[k]*gipmx/gsw; |
llt +=ll[k]*gipmx/gsw; |
| fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw); |
fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw); |
| |
/* printf(" %10.6f",-ll[k]*gipmx/gsw); */ |
| } |
} |
| fprintf(ficresilk," %10.6f\n", -llt); |
fprintf(ficresilk," %10.6f ", -llt); |
| } |
/* printf(" %10.6f\n", -llt); */ |
| } /* end of wave */ |
/* if(debugILK){ /\* debugILK is set by a #d in a comment line *\/ */ |
| } /* end of individual */ |
/* fprintf(ficresilk,"%09ld ", num[i]); */ /* not necessary */ |
| for(k=1,l=0.; k<=nlstate; k++) l += ll[k]; |
for (kf=1; kf<=ncovf;kf++){ /* Simple and product fixed covariates without age* products *//* Missing values are set to -1 but should be dropped */ |
| |
fprintf(ficresilk," %g",covar[Tvar[TvarFind[kf]]][i]); |
| |
} |
| |
for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ /* Varying covariates (single and product but no age) including individual from products */ |
| |
ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ |
| |
if(ipos!=iposold){ /* Not a product or first of a product */ |
| |
fprintf(ficresilk," %g",cov[ioffset+ipos]); |
| |
/* printf(" %g",cov[ioffset+ipos]); */ |
| |
}else{ |
| |
fprintf(ficresilk,"*"); |
| |
/* printf("*"); */ |
| |
} |
| |
iposold=ipos; |
| |
} |
| |
/* for (kk=1; kk<=cptcovage;kk++) { */ |
| |
/* if(!FixedV[Tvar[Tage[kk]]]){ */ |
| |
/* fprintf(ficresilk," %g*age",covar[Tvar[Tage[kk]]][i]); */ |
| |
/* /\* printf(" %g*age",covar[Tvar[Tage[kk]]][i]); *\/ */ |
| |
/* }else{ */ |
| |
/* fprintf(ficresilk," %g*age",cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]);/\* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) *\/ */ |
| |
/* /\* printf(" %g*age",cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]);/\\* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) *\\/ *\/ */ |
| |
/* } */ |
| |
/* } */ |
| |
for(ncovva=1, iposold=0; ncovva <= ncovta ; ncovva++){ /* Time varying covariates with age including individual from products, product is computed dynamically */ |
| |
itv=TvarAVVA[ncovva]; /* TvarVV={3, 1, 3} gives the name of each varying covariate, exploding product Vn*Vm into Vn and then Vm */ |
| |
ipos=TvarAVVAind[ncovva]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ |
| |
/* if(TvarFind[itv]==0){ /\* Not a fixed covariate? Could be a fixed covariate of a product with a higher than ncovcol+nqv, itv *\/ */ |
| |
if(FixedV[itv]!=0){ /* Not a fixed covariate? Could be a fixed covariate of a product with a higher than ncovcol+nqv, itv */ |
| |
/* printf("DEBUG ncovva=%d, Varying TvarAVVA[ncovva]=%d\n", ncovva, TvarAVVA[ncovva]); */ |
| |
cotvarv=cotvar[mw[mi][i]][TvarAVVA[ncovva]][i]; /* because cotvar starts now at first ncovcol+nqv+ntv+nqtv (1 to nqtv) */ |
| |
}else{ /* fixed covariate */ |
| |
/* cotvarv=covar[Tvar[TvarFind[itv]]][i]; /\* Error: TvarFind gives the name, that is the true column of fixed covariates, but Tvar of the model *\/ */ |
| |
/* printf("DEBUG ncovva=%d, Fixed TvarAVVA[ncovva]=%d\n", ncovva, TvarAVVA[ncovva]); */ |
| |
cotvarv=covar[itv][i]; /* Error: TvarFind gives the name, that is the true column of fixed covariates, but Tvar of the model */ |
| |
} |
| |
if(ipos!=iposold){ /* Not a product or first of a product */ |
| |
cotvarvold=cotvarv; |
| |
}else{ /* A second product */ |
| |
/* printf("DEBUG * \n"); */ |
| |
cotvarv=cotvarv*cotvarvold; |
| |
} |
| |
cotvarv=cotvarv*agexact; |
| |
fprintf(ficresilk," %g*age",cotvarv); |
| |
iposold=ipos; |
| |
/* printf("DEBUG Product cov[ioffset+ipos=%d] \n",ioffset+ipos); */ |
| |
cov[ioffset+ipos]=cotvarv; |
| |
/* For products */ |
| |
} |
| |
/* printf("\n"); */ |
| |
/* } /\* End debugILK *\/ */ |
| |
fprintf(ficresilk,"\n"); |
| |
} /* End if globpr */ |
| |
} /* end of wave */ |
| |
} /* end of individual */ |
| |
for(k=1,l=0.; k<=nlstate; k++) l += ll[k]; |
| /* printf("l1=%f l2=%f ",ll[1],ll[2]); */ |
/* printf("l1=%f l2=%f ",ll[1],ll[2]); */ |
| l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */ |
l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */ |
| if(globpr==0){ /* First time we count the contributions and weights */ |
if(globpr==0){ /* First time we count the contributions and weights */ |
| gipmx=ipmx; |
gipmx=ipmx; |
| gsw=sw; |
gsw=sw; |
| } |
} |
| return -l; |
return -l; |
| } |
} |
| |
|
| |
|
|
Line 4333 void likelione(FILE *ficres,double p[],
|
Line 4798 void likelione(FILE *ficres,double p[],
|
| the selection of individuals/waves and |
the selection of individuals/waves and |
| to check the exact contribution to the likelihood. |
to check the exact contribution to the likelihood. |
| Plotting could be done. |
Plotting could be done. |
| */ |
*/ |
| int k; |
void pstamp(FILE *ficres); |
| |
int k, kf, kk, kvar, ncovv, iposold, ipos; |
| |
|
| if(*globpri !=0){ /* Just counts and sums, no printings */ |
if(*globpri !=0){ /* Just counts and sums, no printings */ |
| strcpy(fileresilk,"ILK_"); |
strcpy(fileresilk,"ILK_"); |
|
Line 4343 void likelione(FILE *ficres,double p[],
|
Line 4809 void likelione(FILE *ficres,double p[],
|
| printf("Problem with resultfile: %s\n", fileresilk); |
printf("Problem with resultfile: %s\n", fileresilk); |
| fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk); |
fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk); |
| } |
} |
| |
pstamp(ficresilk);fprintf(ficresilk,"# model=1+age+%s\n",model); |
| fprintf(ficresilk, "#individual(line's_record) count ageb ageend s1 s2 wave# effective_wave# number_of_matrices_product pij weight weight/gpw -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total\n"); |
fprintf(ficresilk, "#individual(line's_record) count ageb ageend s1 s2 wave# effective_wave# number_of_matrices_product pij weight weight/gpw -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total\n"); |
| fprintf(ficresilk, "#num_i ageb agend i s1 s2 mi mw dh likeli weight %%weight 2wlli out sav "); |
fprintf(ficresilk, "#num_i ageb agend i s1 s2 mi mw dh likeli weight %%weight 2wlli out sav "); |
| /* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2*weight[i]*lli,out[s1][s2],savm[s1][s2]); */ |
/* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2*weight[i]*lli,out[s1][s2],savm[s1][s2]); */ |
| for(k=1; k<=nlstate; k++) |
for(k=1; k<=nlstate; k++) |
| fprintf(ficresilk," -2*gipw/gsw*weight*ll[%d]++",k); |
fprintf(ficresilk," -2*gipw/gsw*weight*ll[%d]++",k); |
| fprintf(ficresilk," -2*gipw/gsw*weight*ll(total)\n"); |
fprintf(ficresilk," -2*gipw/gsw*weight*ll(total) "); |
| } |
|
| |
/* if(debugILK){ /\* debugILK is set by a #d in a comment line *\/ */ |
| |
for(kf=1;kf <= ncovf; kf++){ |
| |
fprintf(ficresilk,"V%d",Tvar[TvarFind[kf]]); |
| |
/* printf("V%d",Tvar[TvarFind[kf]]); */ |
| |
} |
| |
for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ |
| |
ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate */ |
| |
if(ipos!=iposold){ /* Not a product or first of a product */ |
| |
/* printf(" %d",ipos); */ |
| |
fprintf(ficresilk," V%d",TvarVV[ncovv]); |
| |
}else{ |
| |
/* printf("*"); */ |
| |
fprintf(ficresilk,"*"); |
| |
} |
| |
iposold=ipos; |
| |
} |
| |
for (kk=1; kk<=cptcovage;kk++) { |
| |
if(!FixedV[Tvar[Tage[kk]]]){ |
| |
/* printf(" %d*age(Fixed)",Tvar[Tage[kk]]); */ |
| |
fprintf(ficresilk," %d*age(Fixed)",Tvar[Tage[kk]]); |
| |
}else{ |
| |
fprintf(ficresilk," %d*age(Varying)",Tvar[Tage[kk]]);/* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
| |
/* printf(" %d*age(Varying)",Tvar[Tage[kk]]);/\* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) *\/ */ |
| |
} |
| |
} |
| |
/* } /\* End if debugILK *\/ */ |
| |
/* printf("\n"); */ |
| |
fprintf(ficresilk,"\n"); |
| |
} /* End glogpri */ |
| |
|
| *fretone=(*func)(p); |
*fretone=(*func)(p); |
| if(*globpri !=0){ |
if(*globpri !=0){ |
|
Line 4361 void likelione(FILE *ficres,double p[],
|
Line 4857 void likelione(FILE *ficres,double p[],
|
| fprintf(fichtm," You should at least run with mle >= 1 to get starting values corresponding to the optimized parameters in order to visualize the real contribution of each individual/wave: <a href=\"%s\">%s</a><br>\n",subdirf(fileresilk),subdirf(fileresilk)); |
fprintf(fichtm," You should at least run with mle >= 1 to get starting values corresponding to the optimized parameters in order to visualize the real contribution of each individual/wave: <a href=\"%s\">%s</a><br>\n",subdirf(fileresilk),subdirf(fileresilk)); |
| fprintf(fichtm,"\n<br>Equation of the model: <b>model=1+age+%s</b><br>\n",model); |
fprintf(fichtm,"\n<br>Equation of the model: <b>model=1+age+%s</b><br>\n",model); |
| |
|
| for (k=1; k<= nlstate ; k++) { |
|
| fprintf(fichtm,"<br>- Probability p<sub>%dj</sub> by origin %d and destination j. Dot's sizes are related to corresponding weight: <a href=\"%s-p%dj.png\">%s-p%dj.png</a><br> \ |
|
| <img src=\"%s-p%dj.png\">",k,k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k); |
|
| } |
|
| fprintf(fichtm,"<br>- The function drawn is -2Log(L) in Log scale: by state of origin <a href=\"%s-ori.png\">%s-ori.png</a><br> \ |
fprintf(fichtm,"<br>- The function drawn is -2Log(L) in Log scale: by state of origin <a href=\"%s-ori.png\">%s-ori.png</a><br> \ |
| <img src=\"%s-ori.png\">",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_")); |
<img src=\"%s-ori.png\">\n",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_")); |
| fprintf(fichtm,"<br>- and by state of destination <a href=\"%s-dest.png\">%s-dest.png</a><br> \ |
fprintf(fichtm,"<br>- and by state of destination <a href=\"%s-dest.png\">%s-dest.png</a><br> \ |
| <img src=\"%s-dest.png\">",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_")); |
<img src=\"%s-dest.png\">\n",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_")); |
| |
|
| |
for (k=1; k<= nlstate ; k++) { |
| |
fprintf(fichtm,"<br>- Probability p<sub>%dj</sub> by origin %d and destination j. Dot's sizes are related to corresponding weight: <a href=\"%s-p%dj.png\">%s-p%dj.png</a><br>\n \ |
| |
<img src=\"%s-p%dj.png\">\n",k,k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k); |
| |
for(kf=1; kf <= ncovf; kf++){ /* For each simple dummy covariate of the model */ |
| |
kvar=Tvar[TvarFind[kf]]; /* variable */ |
| |
fprintf(fichtm,"<br>- Probability p<sub>%dj</sub> by origin %d and destination j with colored covariate V%d. Same dot size of all points but with a different color for transitions with dummy variable V%d=1 at beginning of transition (keeping former color for V%d=0): ",k,k,Tvar[TvarFind[kf]],Tvar[TvarFind[kf]],Tvar[TvarFind[kf]]); |
| |
fprintf(fichtm,"<a href=\"%s-p%dj-%d.png\">%s-p%dj-%d.png</a><br>",subdirf2(optionfilefiname,"ILK_"),k,kvar,subdirf2(optionfilefiname,"ILK_"),k,kvar); |
| |
fprintf(fichtm,"<img src=\"%s-p%dj-%d.png\">",subdirf2(optionfilefiname,"ILK_"),k,Tvar[TvarFind[kf]]); |
| |
} |
| |
for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ /* Loop on the time varying extended covariates (with extension of Vn*Vm */ |
| |
ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate */ |
| |
kvar=TvarVV[ncovv]; /* TvarVV={3, 1, 3} gives the name of each varying covariate */ |
| |
/* printf("DebugILK fichtm ncovv=%d, kvar=TvarVV[ncovv]=V%d, ipos=TvarVVind[ncovv]=%d, Dummy[ipos]=%d, Typevar[ipos]=%d\n", ncovv,kvar,ipos,Dummy[ipos],Typevar[ipos]); */ |
| |
if(ipos!=iposold){ /* Not a product or first of a product */ |
| |
/* fprintf(ficresilk," V%d",TvarVV[ncovv]); */ |
| |
/* printf(" DebugILK fichtm ipos=%d != iposold=%d\n", ipos, iposold); */ |
| |
if(Dummy[ipos]==0 && Typevar[ipos]==0){ /* Only if dummy time varying: Dummy(0, 1=quant singor prod without age,2 dummy*age, 3quant*age) Typevar (0 single, 1=*age,2=Vn*vm) */ |
| |
fprintf(fichtm,"<br>- Probability p<sub>%dj</sub> by origin %d and destination j with colored time varying dummy covariate V%d. Same dot size of all points but with a different color for transitions with dummy variable V%d=1 at beginning of transition (keeping former color for V%d=0): <a href=\"%s-p%dj.png\">%s-p%dj.png</a><br> \ |
| |
<img src=\"%s-p%dj-%d.png\">",k,k,kvar,kvar,kvar,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,kvar); |
| |
} /* End only for dummies time varying (single?) */ |
| |
}else{ /* Useless product */ |
| |
/* printf("*"); */ |
| |
/* fprintf(ficresilk,"*"); */ |
| |
} |
| |
iposold=ipos; |
| |
} /* For each time varying covariate */ |
| |
} /* End loop on states */ |
| |
|
| |
/* if(debugILK){ */ |
| |
/* for(kf=1; kf <= ncovf; kf++){ /\* For each simple dummy covariate of the model *\/ */ |
| |
/* /\* kvar=Tvar[TvarFind[kf]]; *\/ /\* variable *\/ */ |
| |
/* for (k=1; k<= nlstate ; k++) { */ |
| |
/* fprintf(fichtm,"<br>- Probability p<sub>%dj</sub> by origin %d and destination j with colored covariate V%. Same dot size of all points but with a different color for transitions with dummy variable V%d=1 at beginning of transition (keeping former color for V%d=0): <a href=\"%s-p%dj.png\">%s-p%dj.png</a><br> \ */ |
| |
/* <img src=\"%s-p%dj-%d.png\">",k,k,Tvar[TvarFind[kf]],Tvar[TvarFind[kf]],Tvar[TvarFind[kf]],subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,Tvar[TvarFind[kf]]); */ |
| |
/* } */ |
| |
/* } */ |
| |
/* for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ /\* Loop on the time varying extended covariates (with extension of Vn*Vm *\/ */ |
| |
/* ipos=TvarVVind[ncovv]; /\* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate *\/ */ |
| |
/* kvar=TvarVV[ncovv]; /\* TvarVV={3, 1, 3} gives the name of each varying covariate *\/ */ |
| |
/* /\* printf("DebugILK fichtm ncovv=%d, kvar=TvarVV[ncovv]=V%d, ipos=TvarVVind[ncovv]=%d, Dummy[ipos]=%d, Typevar[ipos]=%d\n", ncovv,kvar,ipos,Dummy[ipos],Typevar[ipos]); *\/ */ |
| |
/* if(ipos!=iposold){ /\* Not a product or first of a product *\/ */ |
| |
/* /\* fprintf(ficresilk," V%d",TvarVV[ncovv]); *\/ */ |
| |
/* /\* printf(" DebugILK fichtm ipos=%d != iposold=%d\n", ipos, iposold); *\/ */ |
| |
/* if(Dummy[ipos]==0 && Typevar[ipos]==0){ /\* Only if dummy time varying: Dummy(0, 1=quant singor prod without age,2 dummy*age, 3quant*age) Typevar (0 single, 1=*age,2=Vn*vm) *\/ */ |
| |
/* for (k=1; k<= nlstate ; k++) { */ |
| |
/* fprintf(fichtm,"<br>- Probability p<sub>%dj</sub> by origin %d and destination j. Same dot size of all points but with a different color for transitions with dummy variable V%d=1 at beginning of transition (keeping former color for V%d=0): <a href=\"%s-p%dj.png\">%s-p%dj.png</a><br> \ */ |
| |
/* <img src=\"%s-p%dj-%d.png\">",k,k,kvar,kvar,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,kvar); */ |
| |
/* } /\* End state *\/ */ |
| |
/* } /\* End only for dummies time varying (single?) *\/ */ |
| |
/* }else{ /\* Useless product *\/ */ |
| |
/* /\* printf("*"); *\/ */ |
| |
/* /\* fprintf(ficresilk,"*"); *\/ */ |
| |
/* } */ |
| |
/* iposold=ipos; */ |
| |
/* } /\* For each time varying covariate *\/ */ |
| |
/* }/\* End debugILK *\/ */ |
| fflush(fichtm); |
fflush(fichtm); |
| } |
}/* End globpri */ |
| return; |
return; |
| } |
} |
| |
|
|
Line 4980 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5529 Title=%s <br>Datafile=%s Firstpass=%d La
|
| j1=0; |
j1=0; |
| |
|
| /* j=ncoveff; /\* Only fixed dummy covariates *\/ */ |
/* j=ncoveff; /\* Only fixed dummy covariates *\/ */ |
| j=cptcoveff; /* Only dummy covariates used in the model */ |
j=cptcoveff; /* Only simple dummy covariates used in the model */ |
| /* j=cptcovn; /\* Only dummy covariates of the model *\/ */ |
/* j=cptcovn; /\* Only dummy covariates of the model *\/ */ |
| if (cptcovn<1) {j=1;ncodemax[1]=1;} |
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
| |
|
|
Line 5001 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5550 Title=%s <br>Datafile=%s Firstpass=%d La
|
| |
|
| /* if a constant only model, one pass to compute frequency tables and to write it on ficresp */ |
/* if a constant only model, one pass to compute frequency tables and to write it on ficresp */ |
| /* Loop on nj=1 or 2 if dummy covariates j!=0 |
/* Loop on nj=1 or 2 if dummy covariates j!=0 |
| * Loop on j1(1 to 2**cptcovn) covariate combination |
* Loop on j1(1 to 2**cptcoveff) covariate combination |
| * freq[s1][s2][iage] =0. |
* freq[s1][s2][iage] =0. |
| * Loop on iind |
* Loop on iind |
| * ++freq[s1][s2][iage] weighted |
* ++freq[s1][s2][iage] weighted |
|
Line 5026 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5575 Title=%s <br>Datafile=%s Firstpass=%d La
|
| if(nj==1) |
if(nj==1) |
| j=0; /* First pass for the constant */ |
j=0; /* First pass for the constant */ |
| else{ |
else{ |
| j=cptcovs; /* Other passes for the covariate values */ |
j=cptcoveff; /* Other passes for the covariate values number of simple covariates in the model V2+V1 =2 (simple dummy fixed or time varying) */ |
| } |
} |
| first=1; |
first=1; |
| for (j1 = 1; j1 <= (int) pow(2,j); j1++){ /* Loop on all dummy covariates combination of the model, ie excluding quantitatives, V4=0, V3=0 for example, fixed or varying covariates */ |
for (j1 = 1; j1 <= (int) pow(2,j); j1++){ /* Loop on all dummy covariates combination of the model, ie excluding quantitatives, V4=0, V3=0 for example, fixed or varying covariates */ |
|
Line 5062 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5611 Title=%s <br>Datafile=%s Firstpass=%d La
|
| bool=1; |
bool=1; |
| if(j !=0){ |
if(j !=0){ |
| if(anyvaryingduminmodel==0){ /* If All fixed covariates */ |
if(anyvaryingduminmodel==0){ /* If All fixed covariates */ |
| if (cptcovn >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
if (cptcoveff >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
| for (z1=1; z1<=cptcovn; z1++) { /* loops on covariates in the model */ |
for (z1=1; z1<=cptcoveff; z1++) { /* loops on covariates in the model */ |
| /* if(Tvaraff[z1] ==-20){ */ |
/* if(Tvaraff[z1] ==-20){ */ |
| /* /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; *\/ */ |
/* /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; *\/ */ |
| /* }else if(Tvaraff[z1] ==-10){ */ |
/* }else if(Tvaraff[z1] ==-10){ */ |
| /* /\* sumnew+=coqvar[z1][iind]; *\/ */ |
/* /\* sumnew+=coqvar[z1][iind]; *\/ */ |
| /* }else */ /* TODO TODO codtabm(j1,z1) or codtabm(j1,Tvaraff[z1]]z1)*/ |
/* }else */ /* TODO TODO codtabm(j1,z1) or codtabm(j1,Tvaraff[z1]]z1)*/ |
| |
/* if( iind >=imx-3) printf("Searching error iind=%d Tvaraff[z1]=%d covar[Tvaraff[z1]][iind]=%.f TnsdVar[Tvaraff[z1]]=%d, cptcoveff=%d, cptcovs=%d \n",iind, Tvaraff[z1], covar[Tvaraff[z1]][iind],TnsdVar[Tvaraff[z1]],cptcoveff, cptcovs); */ |
| |
if(Tvaraff[z1]<1 || Tvaraff[z1]>=NCOVMAX) |
| |
printf("Error Tvaraff[z1]=%d<1 or >=%d, cptcoveff=%d model=1+age+%s\n",Tvaraff[z1],NCOVMAX, cptcoveff, model); |
| if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]){ /* for combination j1 of covariates */ |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]){ /* for combination j1 of covariates */ |
| /* Tests if the value of the covariate z1 for this individual iind responded to combination j1 (V4=1 V3=0) */ |
/* Tests if the value of the covariate z1 for this individual iind responded to combination j1 (V4=1 V3=0) */ |
| bool=0; /* bool should be equal to 1 to be selected, one covariate value failed */ |
bool=0; /* bool should be equal to 1 to be selected, one covariate value failed */ |
|
Line 5078 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5630 Title=%s <br>Datafile=%s Firstpass=%d La
|
| /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ |
/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ |
| } /* Onlyf fixed */ |
} /* Onlyf fixed */ |
| } /* end z1 */ |
} /* end z1 */ |
| } /* cptcovn > 0 */ |
} /* cptcoveff > 0 */ |
| } /* end any */ |
} /* end any */ |
| }/* end j==0 */ |
}/* end j==0 */ |
| if (bool==1){ /* We selected an individual iind satisfying combination j1 (V4=1 V3=0) or all fixed covariates */ |
if (bool==1){ /* We selected an individual iind satisfying combination j1 (V4=1 V3=0) or all fixed covariates */ |
|
Line 5087 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5639 Title=%s <br>Datafile=%s Firstpass=%d La
|
| m=mw[mi][iind]; |
m=mw[mi][iind]; |
| if(j!=0){ |
if(j!=0){ |
| if(anyvaryingduminmodel==1){ /* Some are varying covariates */ |
if(anyvaryingduminmodel==1){ /* Some are varying covariates */ |
| for (z1=1; z1<=cptcovn; z1++) { |
for (z1=1; z1<=cptcoveff; z1++) { |
| if( Fixed[Tmodelind[z1]]==1){ |
if( Fixed[Tmodelind[z1]]==1){ |
| iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; |
/* iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; /\* Good *\/ */ |
| |
iv= Tvar[Tmodelind[z1]]; /* Good *//* because cotvar starts now at first at ncovcol+nqv+ntv */ |
| if (cotvar[m][iv][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) /* iv=1 to ntv, right modality. If covariate's |
if (cotvar[m][iv][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) /* iv=1 to ntv, right modality. If covariate's |
| value is -1, we don't select. It differs from the |
value is -1, we don't select. It differs from the |
| constant and age model which counts them. */ |
constant and age model which counts them. */ |
|
Line 5161 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5714 Title=%s <br>Datafile=%s Firstpass=%d La
|
| |
|
| |
|
| /* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/ |
/* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/ |
| if(cptcovn==0 && nj==1) /* no covariate and first pass */ |
if(cptcoveff==0 && nj==1) /* no covariate and first pass */ |
| pstamp(ficresp); |
pstamp(ficresp); |
| if (cptcovn>0 && j!=0){ |
if (cptcoveff>0 && j!=0){ |
| pstamp(ficresp); |
pstamp(ficresp); |
| printf( "\n#********** Variable "); |
printf( "\n#********** Variable "); |
| fprintf(ficresp, "\n#********** Variable "); |
fprintf(ficresp, "\n#********** Variable "); |
| fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable "); |
fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable "); |
| fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable "); |
fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable "); |
| fprintf(ficlog, "\n#********** Variable "); |
fprintf(ficlog, "\n#********** Variable "); |
| for (z1=1; z1<=cptcovs; z1++){ |
for (z1=1; z1<=cptcoveff; z1++){ |
| if(!FixedV[Tvaraff[z1]]){ |
if(!FixedV[Tvaraff[z1]]){ |
| printf( "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
printf( "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| fprintf(ficresp, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(ficresp, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
|
Line 5216 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5769 Title=%s <br>Datafile=%s Firstpass=%d La
|
| /* } */ |
/* } */ |
| |
|
| fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">"); |
fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">"); |
| if((cptcovn==0 && nj==1)|| nj==2 ) /* no covariate and first pass */ |
if((cptcoveff==0 && nj==1)|| nj==2 ) /* no covariate and first pass */ |
| fprintf(ficresp, " Age"); |
fprintf(ficresp, " Age"); |
| if(nj==2) for (z1=1; z1<=cptcovn; z1++) fprintf(ficresp, " V%d=%d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
if(nj==2) for (z1=1; z1<=cptcoveff; z1++) { |
| |
printf(" V%d=%d, z1=%d, Tvaraff[z1]=%d, j1=%d, TnsdVar[Tvaraff[%d]]=%d |",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])], z1, Tvaraff[z1], j1,z1,TnsdVar[Tvaraff[z1]]); |
| |
fprintf(ficresp, " V%d=%d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| |
} |
| for(i=1; i<=nlstate;i++) { |
for(i=1; i<=nlstate;i++) { |
| if((cptcovn==0 && nj==1)|| nj==2 ) fprintf(ficresp," Prev(%d) N(%d) N ",i,i); |
if((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp," Prev(%d) N(%d) N ",i,i); |
| fprintf(ficresphtm, "<th>Age</th><th>Prev(%d)</th><th>N(%d)</th><th>N</th>",i,i); |
fprintf(ficresphtm, "<th>Age</th><th>Prev(%d)</th><th>N(%d)</th><th>N</th>",i,i); |
| } |
} |
| if((cptcovn==0 && nj==1)|| nj==2 ) fprintf(ficresp, "\n"); |
if((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp, "\n"); |
| fprintf(ficresphtm, "\n"); |
fprintf(ficresphtm, "\n"); |
| |
|
| /* Header of frequency table by age */ |
/* Header of frequency table by age */ |
|
Line 5291 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5847 Title=%s <br>Datafile=%s Firstpass=%d La
|
| } |
} |
| |
|
| /* Writing ficresp */ |
/* Writing ficresp */ |
| if(cptcovn==0 && nj==1){ /* no covariate and first pass */ |
if(cptcoveff==0 && nj==1){ /* no covariate and first pass */ |
| if( iage <= iagemax){ |
if( iage <= iagemax){ |
| fprintf(ficresp," %d",iage); |
fprintf(ficresp," %d",iage); |
| } |
} |
| }else if( nj==2){ |
}else if( nj==2){ |
| if( iage <= iagemax){ |
if( iage <= iagemax){ |
| fprintf(ficresp," %d",iage); |
fprintf(ficresp," %d",iage); |
| for (z1=1; z1<=cptcovn; z1++) fprintf(ficresp, " %d %d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, " %d %d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| } |
} |
| } |
} |
| for(s1=1; s1 <=nlstate ; s1++){ |
for(s1=1; s1 <=nlstate ; s1++){ |
|
Line 5313 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5869 Title=%s <br>Datafile=%s Firstpass=%d La
|
| } |
} |
| if( iage <= iagemax){ |
if( iage <= iagemax){ |
| if(pos>=1.e-5){ |
if(pos>=1.e-5){ |
| if(cptcovn==0 && nj==1){ /* no covariate and first pass */ |
if(cptcoveff==0 && nj==1){ /* no covariate and first pass */ |
| fprintf(ficresp," %.5f %.0f %.0f",prop[s1][iage]/pospropta, prop[s1][iage],pospropta); |
fprintf(ficresp," %.5f %.0f %.0f",prop[s1][iage]/pospropta, prop[s1][iage],pospropta); |
| }else if( nj==2){ |
}else if( nj==2){ |
| fprintf(ficresp," %.5f %.0f %.0f",prop[s1][iage]/pospropta, prop[s1][iage],pospropta); |
fprintf(ficresp," %.5f %.0f %.0f",prop[s1][iage]/pospropta, prop[s1][iage],pospropta); |
|
Line 5322 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5878 Title=%s <br>Datafile=%s Firstpass=%d La
|
| /*probs[iage][s1][j1]= pp[s1]/pos;*/ |
/*probs[iage][s1][j1]= pp[s1]/pos;*/ |
| /*printf("\niage=%d s1=%d j1=%d %.5f %.0f %.0f %f",iage,s1,j1,pp[s1]/pos, pp[s1],pos,probs[iage][s1][j1]);*/ |
/*printf("\niage=%d s1=%d j1=%d %.5f %.0f %.0f %f",iage,s1,j1,pp[s1]/pos, pp[s1],pos,probs[iage][s1][j1]);*/ |
| } else{ |
} else{ |
| if((cptcovn==0 && nj==1)|| nj==2 ) fprintf(ficresp," NaNq %.0f %.0f",prop[s1][iage],pospropta); |
if((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp," NaNq %.0f %.0f",prop[s1][iage],pospropta); |
| fprintf(ficresphtm,"<th>%d</th><td>NaNq</td><td>%.0f</td><td>%.0f</td>",iage, prop[s1][iage],pospropta); |
fprintf(ficresphtm,"<th>%d</th><td>NaNq</td><td>%.0f</td><td>%.0f</td>",iage, prop[s1][iage],pospropta); |
| } |
} |
| } |
} |
|
Line 5348 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5904 Title=%s <br>Datafile=%s Firstpass=%d La
|
| } |
} |
| fprintf(ficresphtmfr,"</tr>\n "); |
fprintf(ficresphtmfr,"</tr>\n "); |
| fprintf(ficresphtm,"</tr>\n"); |
fprintf(ficresphtm,"</tr>\n"); |
| if((cptcovn==0 && nj==1)|| nj==2 ) { |
if((cptcoveff==0 && nj==1)|| nj==2 ) { |
| if(iage <= iagemax) |
if(iage <= iagemax) |
| fprintf(ficresp,"\n"); |
fprintf(ficresp,"\n"); |
| } |
} |
|
Line 5375 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5931 Title=%s <br>Datafile=%s Firstpass=%d La
|
| printf("# This combination (%d) is not valid and no result will be produced\n",j1); |
printf("# This combination (%d) is not valid and no result will be produced\n",j1); |
| invalidvarcomb[j1]=1; |
invalidvarcomb[j1]=1; |
| }else{ |
}else{ |
| fprintf(ficresphtm,"\n <p> This combination (%d) is valid and result will be produced.</p>",j1); |
fprintf(ficresphtm,"\n <p> This combination (%d) is valid and result will be produced (or no resultline).</p>",j1); |
| invalidvarcomb[j1]=0; |
invalidvarcomb[j1]=0; |
| } |
} |
| fprintf(ficresphtmfr,"</table>\n"); |
fprintf(ficresphtmfr,"</table>\n"); |
|
Line 5606 void prevalence(double ***probs, double
|
Line 6162 void prevalence(double ***probs, double
|
| if (cptcovn<1) {j=1;ncodemax[1]=1;} |
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
| |
|
| first=0; |
first=0; |
| for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ /* For each combination of covariate */ |
for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ /* For each combination of simple dummy covariates */ |
| for (i=1; i<=nlstate; i++) |
for (i=1; i<=nlstate; i++) |
| for(iage=iagemin-AGEMARGE; iage <= iagemax+4+AGEMARGE; iage++) |
for(iage=iagemin-AGEMARGE; iage <= iagemax+4+AGEMARGE; iage++) |
| prop[i][iage]=0.0; |
prop[i][iage]=0.0; |
|
Line 5623 void prevalence(double ***probs, double
|
Line 6179 void prevalence(double ***probs, double
|
| /* Tvar[Tmodelind[z1]] is the n of Vn; n-ncovcol-nqv is the first time varying covariate or iv */ |
/* Tvar[Tmodelind[z1]] is the n of Vn; n-ncovcol-nqv is the first time varying covariate or iv */ |
| for (z1=1; z1<=cptcoveff; z1++){ |
for (z1=1; z1<=cptcoveff; z1++){ |
| if( Fixed[Tmodelind[z1]]==1){ |
if( Fixed[Tmodelind[z1]]==1){ |
| iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; |
iv= Tvar[Tmodelind[z1]];/* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
| if (cotvar[m][iv][i]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) /* iv=1 to ntv, right modality */ |
if (cotvar[m][iv][i]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) /* iv=1 to ntv, right modality */ |
| bool=0; |
bool=0; |
| }else if( Fixed[Tmodelind[z1]]== 0) /* fixed */ |
}else if( Fixed[Tmodelind[z1]]== 0) /* fixed */ |
|
Line 5930 void concatwav(int wav[], int **dh, int
|
Line 6486 void concatwav(int wav[], int **dh, int
|
| nbcode[k][j]=0; /* Valgrind */ |
nbcode[k][j]=0; /* Valgrind */ |
| |
|
| /* Loop on covariates without age and products and no quantitative variable */ |
/* Loop on covariates without age and products and no quantitative variable */ |
| for (k=1; k<=cptcovt; k++) { /* From model V1 + V2*age + V3 + V3*V4 keeps V1 + V3 = 2 only */ |
for (k=1; k<=cptcovt; k++) { /* cptcovt: total number of covariates of the model (2) nbocc(+)+1 = 8 excepting constant and age and age*age */ |
| for (j=-1; (j < maxncov); j++) Ndum[j]=0; |
for (j=-1; (j < maxncov); j++) Ndum[j]=0; |
| if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */ |
/* printf("Testing k=%d, cptcovt=%d\n",k, cptcovt); */ |
| |
if(Dummy[k]==0 && Typevar[k] !=1 && Typevar[k] != 3 && Typevar[k] != 2){ /* Dummy covariate and not age product nor fixed product */ |
| switch(Fixed[k]) { |
switch(Fixed[k]) { |
| case 0: /* Testing on fixed dummy covariate, simple or product of fixed */ |
case 0: /* Testing on fixed dummy covariate, simple or product of fixed */ |
| modmaxcovj=0; |
modmaxcovj=0; |
| modmincovj=0; |
modmincovj=0; |
| for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the modality of this covariate Vj*/ |
for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the modality of this covariate Vj*/ |
| |
/* printf("Waiting for error tricode Tvar[%d]=%d i=%d (int)(covar[Tvar[k]][i]=%d\n",k,Tvar[k], i, (int)(covar[Tvar[k]][i])); */ |
| ij=(int)(covar[Tvar[k]][i]); |
ij=(int)(covar[Tvar[k]][i]); |
| /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i |
/* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i |
| * If product of Vn*Vm, still boolean *: |
* If product of Vn*Vm, still boolean *: |
|
Line 6028 void concatwav(int wav[], int **dh, int
|
Line 6586 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){ /* Quantitative covariate and not age product */ |
if(Dummy[k]==1 && Typevar[k] !=1 && Typevar[k] !=3 && Fixed ==0){ /* Fixed Quantitative 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*/ |
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(Tvar[k]<=0 || Tvar[k]>=NCOVMAX){ |
| |
printf("Error k=%d \n",k); |
| |
exit(1); |
| |
} |
| if(isnan(covar[Tvar[k]][i])){ |
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); |
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); |
fprintf(ficlog,"ERROR, currently IMaCh doesn't treat covariate with missing values V%d=., individual %d will be skipped.\n",Tvar[k],i); |
|
Line 6037 void concatwav(int wav[], int **dh, int
|
Line 6599 void concatwav(int wav[], int **dh, int
|
| exit(1); |
exit(1); |
| } |
} |
| } |
} |
| } |
} /* end Quanti */ |
| } /* 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 6051 void concatwav(int wav[], int **dh, int
|
Line 6613 void concatwav(int wav[], int **dh, int
|
| |
|
| ij=0; |
ij=0; |
| /* for (i=0; i<= maxncov-1; i++) { /\* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) *\/ */ |
/* for (i=0; i<= maxncov-1; i++) { /\* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) *\/ */ |
| for (k=1; k<= cptcovt; k++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ |
for (k=1; k<= cptcovt; k++) { /* cptcovt: total number of covariates of the model (2) nbocc(+)+1 = 8 excepting constant and age and age*age */ |
| |
/* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ |
| /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ |
/*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ |
| /* if((Ndum[i]!=0) && (i<=ncovcol)){ /\* Tvar[i] <= ncovmodel ? *\/ */ |
/* if((Ndum[i]!=0) && (i<=ncovcol)){ /\* Tvar[i] <= ncovmodel ? *\/ */ |
| if(Ndum[Tvar[k]]!=0 && Dummy[k] == 0 && Typevar[k]==0){ /* Only Dummy and non empty in the model */ |
if(Ndum[Tvar[k]]!=0 && Dummy[k] == 0 && Typevar[k]==0){ /* Only Dummy simple and non empty in the model */ |
| |
/* Typevar[k] =0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */ |
| |
/* Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product*/ |
| /* If product not in single variable we don't print results */ |
/* If product not in single variable we don't print results */ |
| /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ |
/*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ |
| ++ij;/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, */ |
++ij;/* V5 + V4 + V3 + V4*V3 + V5*age + V2 + V1*V2 + V1*age + V1, *//* V5 quanti, V2 quanti, V4, V3, V1 dummies */ |
| |
/* k= 1 2 3 4 5 6 7 8 9 */ |
| |
/* Tvar[k]= 5 4 3 6 5 2 7 1 1 */ |
| |
/* ij 1 2 3 */ |
| |
/* Tvaraff[ij]= 4 3 1 */ |
| |
/* Tmodelind[ij]=2 3 9 */ |
| |
/* TmodelInvind[ij]=2 1 1 */ |
| Tvaraff[ij]=Tvar[k]; /* For printing combination *//* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, Tvar {5, 4, 3, 6, 5, 2, 7, 1, 1} Tvaraff={4, 3, 1} V4, V3, V1*/ |
Tvaraff[ij]=Tvar[k]; /* For printing combination *//* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, Tvar {5, 4, 3, 6, 5, 2, 7, 1, 1} Tvaraff={4, 3, 1} V4, V3, V1*/ |
| Tmodelind[ij]=k; /* Tmodelind: index in model of dummies Tmodelind[1]=2 V4: pos=2; V3: pos=3, V1=9 {2, 3, 9, ?, ?,} */ |
Tmodelind[ij]=k; /* Tmodelind: index in model of dummies Tmodelind[1]=2 V4: pos=2; V3: pos=3, V1=9 {2, 3, 9, ?, ?,} */ |
| TmodelInvind[ij]=Tvar[k]- ncovcol-nqv; /* Inverse TmodelInvind[2=V4]=2 second dummy varying cov (V4)4-1-1 {0, 2, 1, } TmodelInvind[3]=1 */ |
TmodelInvind[ij]=Tvar[k]- ncovcol-nqv; /* Inverse TmodelInvind[2=V4]=2 second dummy varying cov (V4)4-1-1 {0, 2, 1, } TmodelInvind[3]=1 */ |
|
Line 6073 void concatwav(int wav[], int **dh, int
|
Line 6644 void concatwav(int wav[], int **dh, int
|
| } /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */ |
} /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */ |
| /* ij--; */ |
/* ij--; */ |
| /* cptcoveff=ij; /\*Number of total covariates*\/ */ |
/* cptcoveff=ij; /\*Number of total covariates*\/ */ |
| *cptcov=ij; /* cptcov= Number of total real effective covariates: effective (used as cptcoveff in other functions) |
*cptcov=ij; /* cptcov= Number of total real effective simple dummies (fixed or time arying) effective (used as cptcoveff in other functions) |
| * because they can be excluded from the model and real |
* because they can be excluded from the model and real |
| * if in the model but excluded because missing values, but how to get k from ij?*/ |
* if in the model but excluded because missing values, but how to get k from ij?*/ |
| for(j=ij+1; j<= cptcovt; j++){ |
for(j=ij+1; j<= cptcovt; j++){ |
|
Line 6206 void concatwav(int wav[], int **dh, int
|
Line 6777 void concatwav(int wav[], int **dh, int
|
| /* Covariances of health expectancies eij and of total life expectancies according |
/* Covariances of health expectancies eij and of total life expectancies according |
| to initial status i, ei. . |
to initial status i, ei. . |
| */ |
*/ |
| |
/* Very time consuming function, but already optimized with precov */ |
| int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2, ij, ji; |
int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2, ij, ji; |
| int nhstepma, nstepma; /* Decreasing with age */ |
int nhstepma, nstepma; /* Decreasing with age */ |
| double age, agelim, hf; |
double age, agelim, hf; |
|
Line 6474 void concatwav(int wav[], int **dh, int
|
Line 7046 void concatwav(int wav[], int **dh, int
|
| pstamp(ficresprobmorprev); |
pstamp(ficresprobmorprev); |
| fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()\n",estepm); |
fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()\n",estepm); |
| fprintf(ficresprobmorprev,"# Selected quantitative variables and dummies"); |
fprintf(ficresprobmorprev,"# Selected quantitative variables and dummies"); |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ /* To be done*/ |
|
| fprintf(ficresprobmorprev," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
/* We use TinvDoQresult[nres][resultmodel[nres][j] we sort according to the equation model and the resultline: it is a choice */ |
| |
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ /\* To be done*\/ */ |
| |
/* fprintf(ficresprobmorprev," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* } */ |
| |
for (j=1; j<= cptcovs; j++){ /* For each selected (single) quantitative value */ /* To be done*/ |
| |
/* fprintf(ficresprobmorprev," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); */ |
| |
fprintf(ficresprobmorprev," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| } |
} |
| for(j=1;j<=cptcoveff;j++) |
/* for(j=1;j<=cptcoveff;j++) */ |
| fprintf(ficresprobmorprev," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(ij,TnsdVar[Tvaraff[j]])]); |
/* fprintf(ficresprobmorprev," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(ij,TnsdVar[Tvaraff[j]])]); */ |
| fprintf(ficresprobmorprev,"\n"); |
fprintf(ficresprobmorprev,"\n"); |
| |
|
| fprintf(ficresprobmorprev,"# Age cov=%-d",ij); |
fprintf(ficresprobmorprev,"# Age cov=%-d",ij); |
|
Line 7109 To be simple, these graphs help to under
|
Line 7687 To be simple, these graphs help to under
|
| |
|
| for(nres=1;nres <=nresult; nres++){ /* For each resultline */ |
for(nres=1;nres <=nresult; nres++){ /* For each resultline */ |
| for(j1=1; j1<=tj;j1++){ /* For any combination of dummy covariates, fixed and varying */ |
for(j1=1; j1<=tj;j1++){ /* For any combination of dummy covariates, fixed and varying */ |
| printf("Varprob TKresult[nres]=%d j1=%d, nres=%d, cptcovn=%d, cptcoveff=%d tj=%d cptcovs=%d\n", TKresult[nres], j1, nres, cptcovn, cptcoveff, tj, cptcovs); |
/* printf("Varprob TKresult[nres]=%d j1=%d, nres=%d, cptcovn=%d, cptcoveff=%d tj=%d cptcovs=%d\n", TKresult[nres], j1, nres, cptcovn, cptcoveff, tj, cptcovs); */ |
| if(tj != 1 && TKresult[nres]!= j1) |
if(tj != 1 && TKresult[nres]!= j1) |
| continue; |
continue; |
| |
|
|
Line 7125 To be simple, these graphs help to under
|
Line 7703 To be simple, these graphs help to under
|
| |
|
| /* Including quantitative variables of the resultline to be done */ |
/* Including quantitative variables of the resultline to be done */ |
| for (z1=1; z1<=cptcovs; z1++){ /* Loop on each variable of this resultline */ |
for (z1=1; z1<=cptcovs; z1++){ /* Loop on each variable of this resultline */ |
| printf("Varprob modelresult[%d][%d]=%d model=%s \n",nres, z1, modelresult[nres][z1], model); |
/* printf("Varprob modelresult[%d][%d]=%d model=1+age+%s \n",nres, z1, modelresult[nres][z1], model); */ |
| fprintf(ficlog,"Varprob modelresult[%d][%d]=%d model=%s \n",nres, z1, modelresult[nres][z1], model); |
fprintf(ficlog,"Varprob modelresult[%d][%d]=%d model=1+age+%s \n",nres, z1, modelresult[nres][z1], model); |
| /* fprintf(ficlog,"Varprob modelresult[%d][%d]=%d model=%s resultline[%d]=%s \n",nres, z1, modelresult[nres][z1], model, nres, resultline[nres]); */ |
/* fprintf(ficlog,"Varprob modelresult[%d][%d]=%d model=1+age+%s resultline[%d]=%s \n",nres, z1, modelresult[nres][z1], model, nres, resultline[nres]); */ |
| if(Dummy[modelresult[nres][z1]]==0){/* Dummy variable of the variable in position modelresult in the model corresponding to z1 in resultline */ |
if(Dummy[modelresult[nres][z1]]==0){/* Dummy variable of the variable in position modelresult in the model corresponding to z1 in resultline */ |
| if(Fixed[modelresult[nres][z1]]==0){ /* Fixed referenced to model equation */ |
if(Fixed[modelresult[nres][z1]]==0){ /* Fixed referenced to model equation */ |
| fprintf(ficresprob,"V%d=%d ",Tvresult[nres][z1],Tresult[nres][z1]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
fprintf(ficresprob,"V%d=%d ",Tvresult[nres][z1],Tresult[nres][z1]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
|
Line 7149 To be simple, these graphs help to under
|
Line 7727 To be simple, these graphs help to under
|
| } |
} |
| }else if(Dummy[modelresult[nres][z1]]==1){ /* Quanti variable */ |
}else if(Dummy[modelresult[nres][z1]]==1){ /* Quanti variable */ |
| /* For each selected (single) quantitative value */ |
/* For each selected (single) quantitative value */ |
| fprintf(ficresprob," V%d=%f ",Tvqresult[nres][z1],Tqresult[nres][z1]); |
fprintf(ficresprob," V%d=%lg ",Tvqresult[nres][z1],Tqresult[nres][z1]); |
| if(Fixed[modelresult[nres][z1]]==0){ /* Fixed */ |
if(Fixed[modelresult[nres][z1]]==0){ /* Fixed */ |
| fprintf(ficresprob,"fixed "); |
fprintf(ficresprob,"fixed "); |
| fprintf(ficresprobcov,"fixed "); |
fprintf(ficresprobcov,"fixed "); |
|
Line 7191 To be simple, these graphs help to under
|
Line 7769 To be simple, these graphs help to under
|
| cov[3]= age*age; |
cov[3]= age*age; |
| /* New code end of combination but for each resultline */ |
/* New code end of combination but for each resultline */ |
| for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
| if(Typevar[k1]==1){ /* A product with age */ |
if(Typevar[k1]==1 || Typevar[k1] ==3){ /* A product with age */ |
| cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
| }else{ |
}else{ |
| cov[2+nagesqr+k1]=precov[nres][k1]; |
cov[2+nagesqr+k1]=precov[nres][k1]; |
|
Line 7496 void printinghtml(char fileresu[], char
|
Line 8074 void printinghtml(char fileresu[], char
|
| jj1=0; |
jj1=0; |
| |
|
| fprintf(fichtm," \n<ul>"); |
fprintf(fichtm," \n<ul>"); |
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k1=1; k1<=m;k1++){ /* For each combination of covariate */ |
/* k1=nres; */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0)k1=1; /* To be checked for no result */ |
| |
/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate *\/ */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| jj1++; |
jj1++; |
| if (cptcovn > 0) { |
if (cptcovn > 0) { |
| fprintf(fichtm,"\n<li><a size=\"1\" color=\"#EC5E5E\" href=\"#rescov"); |
fprintf(fichtm,"\n<li><a size=\"1\" color=\"#EC5E5E\" href=\"#rescov"); |
| for (cpt=1; cpt<=cptcoveff;cpt++){ |
for (cpt=1; cpt<=cptcovs;cpt++){ /**< cptcovs number of SIMPLE covariates in the model V2+V1 =2 (dummy or quantit or time varying) */ |
| fprintf(fichtm,"_V%d=%d_",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); |
fprintf(fichtm,"_V%d=%lg_",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[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]); |
|
| } |
} |
| |
/* 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,"\">"); |
fprintf(fichtm,"\">"); |
| |
|
| /* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
/* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
| fprintf(fichtm,"************ Results for covariates"); |
fprintf(fichtm,"************ Results for covariates"); |
| for (cpt=1; cpt<=cptcoveff;cpt++){ |
for (cpt=1; cpt<=cptcovs;cpt++){ |
| fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); |
fprintf(fichtm," V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[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,"************ 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]){ |
if(invalidvarcomb[k1]){ |
| fprintf(fichtm," Warning Combination (%d) ignored because no cases ",k1); |
fprintf(fichtm," Warning Combination (%d) ignored because no cases ",k1); |
| continue; |
continue; |
|
Line 7530 void printinghtml(char fileresu[], char
|
Line 8118 void printinghtml(char fileresu[], char
|
| |
|
| jj1=0; |
jj1=0; |
| |
|
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k1=1; k1<=m;k1++){ /* For each combination of covariate */ |
/* k1=nres; */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate *\/ */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| |
|
| /* 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=\"rescov"); |
fprintf(fichtm,"\n<p><a name=\"rescov"); |
| for (cpt=1; cpt<=cptcoveff;cpt++){ |
for (cpt=1; cpt<=cptcovs;cpt++){ |
| fprintf(fichtm,"_V%d=%d_",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); |
fprintf(fichtm,"_V%d=%lg_",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[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]); |
|
| } |
} |
| |
/* 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,"\"</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++){ |
for (cpt=1; cpt<=cptcovs;cpt++){ |
| fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); |
fprintf(fichtm," V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]); |
| printf(" V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]);fflush(stdout); |
printf(" V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]); |
| /* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */ |
/* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */ |
| /* printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); */ |
/* printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); */ |
| } |
} |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
|
| fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
|
| printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);fflush(stdout); |
|
| } |
|
| |
|
| /* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
/* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
| fprintf(fichtm," (model=%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model); |
fprintf(fichtm," (model=1+age+%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model); |
| if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
| fprintf(fichtm,"\n<h3>Combination (%d) ignored because no cases </h3>\n",k1); |
fprintf(fichtm,"\n<h3>Combination (%d) ignored because no cases </h3>\n",k1); |
| printf("\nCombination (%d) ignored because no cases \n",k1); |
printf("\nCombination (%d) ignored because no cases \n",k1); |
|
Line 7596 divided by h: <sub>h</sub>P<sub>ij</sub>
|
Line 8182 divided by h: <sub>h</sub>P<sub>ij</sub>
|
| /* Period (forward stable) prevalence in each health state */ |
/* Period (forward stable) prevalence in each health state */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability for a person being in state (1 to %d) at different ages, to be in state %d some years after. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br>", cpt, nlstate, cpt, subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability for a person being in state (1 to %d) at different ages, to be in state %d some years after. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br>", cpt, nlstate, cpt, subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
| fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"P_"),subdirf2(optionfilefiname,"P_")); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"PIJ_"),subdirf2(optionfilefiname,"PIJ_")); |
| fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">" ,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">" ,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
| } |
} |
| if(prevbcast==1){ |
if(prevbcast==1){ |
| /* Backward prevalence in each health state */ |
/* Backward prevalence in each health state */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Convergence to mixed (stable) back prevalence in state %d. Or probability for a person to be in state %d at a younger age, knowing that she/he was in state (1 to %d) at different older ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Convergence to mixed (stable) back prevalence in state %d. Or probability for a person to be in state %d at a younger age, knowing that she/he was in state (1 to %d) at different older ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br>", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres); |
| <img src=\"%s_%d-%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"PIJB_"),subdirf2(optionfilefiname,"PIJB_")); |
| |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">" ,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres); |
| } |
} |
| } |
} |
| if(prevfcast==1){ |
if(prevfcast==1){ |
|
Line 7633 with weights corresponding to observed p
|
Line 8220 with weights corresponding to observed p
|
| fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">", subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres ); |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">", subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres ); |
| } |
} |
| /* } /\* end i1 *\/ */ |
/* } /\* end i1 *\/ */ |
| }/* End k1 */ |
}/* End k1=nres */ |
| fprintf(fichtm,"</ul>"); |
fprintf(fichtm,"</ul>"); |
| |
|
| fprintf(fichtm,"\ |
fprintf(fichtm,"\ |
|
Line 7680 See page 'Matrix of variance-covariance
|
Line 8267 See page 'Matrix of variance-covariance
|
| /* - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n */ |
/* - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n */ |
| /* <br>",fileres,fileres,fileres,fileres); */ |
/* <br>",fileres,fileres,fileres,fileres); */ |
| /* else */ |
/* else */ |
| /* fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */ |
/* fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=1+age+%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */ |
| fflush(fichtm); |
fflush(fichtm); |
| |
|
| m=pow(2,cptcoveff); |
m=pow(2,cptcoveff); |
|
Line 7691 See page 'Matrix of variance-covariance
|
Line 8278 See page 'Matrix of variance-covariance
|
| jj1=0; |
jj1=0; |
| |
|
| fprintf(fichtm," \n<ul>"); |
fprintf(fichtm," \n<ul>"); |
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k1=1; k1<=m;k1++){ /* For each combination of covariate */ |
/* k1=nres; */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate *\/ */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| jj1++; |
jj1++; |
| if (cptcovn > 0) { |
if (cptcovn > 0) { |
| fprintf(fichtm,"\n<li><a size=\"1\" color=\"#EC5E5E\" href=\"#rescovsecond"); |
fprintf(fichtm,"\n<li><a size=\"1\" color=\"#EC5E5E\" href=\"#rescovsecond"); |
| for (cpt=1; cpt<=cptcoveff;cpt++){ |
for (cpt=1; cpt<=cptcovs;cpt++){ |
| fprintf(fichtm,"_V%d=%d_",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); |
fprintf(fichtm,"_V%d=%lg_",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[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,"\">"); |
fprintf(fichtm,"\">"); |
| |
|
| /* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
/* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
| fprintf(fichtm,"************ Results for covariates"); |
fprintf(fichtm,"************ Results for covariates"); |
| for (cpt=1; cpt<=cptcoveff;cpt++){ |
for (cpt=1; cpt<=cptcovs;cpt++){ |
| fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); |
fprintf(fichtm," V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[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]){ |
if(invalidvarcomb[k1]){ |
| fprintf(fichtm," Warning Combination (%d) ignored because no cases ",k1); |
fprintf(fichtm," Warning Combination (%d) ignored because no cases ",k1); |
|
Line 7720 See page 'Matrix of variance-covariance
|
Line 8303 See page 'Matrix of variance-covariance
|
| } |
} |
| fprintf(fichtm,"</a></li>"); |
fprintf(fichtm,"</a></li>"); |
| } /* cptcovn >0 */ |
} /* cptcovn >0 */ |
| } |
} /* End nres */ |
| fprintf(fichtm," \n</ul>"); |
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 */ |
| for(k1=1; k1<=m;k1++){ |
/* k1=nres; */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* for(k1=1; k1<=m;k1++){ */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| /* 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"); |
fprintf(fichtm,"\n<p><a name=\"rescovsecond"); |
| for (cpt=1; cpt<=cptcoveff;cpt++){ |
for (cpt=1; cpt<=cptcovs;cpt++){ |
| fprintf(fichtm,"_V%d=%d_",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); |
fprintf(fichtm,"_V%d=%lg_",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[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,"\"</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<=cptcovs;cpt++){ /**< cptcoveff number of variables */ |
| fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]); |
fprintf(fichtm," V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]); |
| printf(" V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]);fflush(stdout); |
printf(" V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]); |
| /* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */ |
/* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */ |
| } |
} |
| 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," (model=%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model); |
fprintf(fichtm," (model=1+age+%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model); |
| |
|
| if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
| fprintf(fichtm,"\n<h4>Combination (%d) ignored because no cases </h4>\n",k1); |
fprintf(fichtm,"\n<h4>Combination (%d) ignored because no cases </h4>\n",k1); |
| continue; |
continue; |
| } |
} |
| } |
} /* If cptcovn >0 */ |
| 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>",mobilav,cpt,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres); |
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); |
|
Line 7772 true period expectancies (those weighted
|
Line 8352 true period expectancies (those weighted
|
| fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>) \n<br>",subdirf2(optionfilefiname,"T_"),subdirf2(optionfilefiname,"T_")); |
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); |
fprintf(fichtm,"<img src=\"%s_%d-%d.svg\">",subdirf2(optionfilefiname,"E_"),k1,nres); |
| /* } /\* end i1 *\/ */ |
/* } /\* end i1 *\/ */ |
| }/* End k1 */ |
|
| }/* End nres */ |
}/* End nres */ |
| fprintf(fichtm,"</ul>"); |
fprintf(fichtm,"</ul>"); |
| fflush(fichtm); |
fflush(fichtm); |
|
Line 7783 void printinggnuplot(char fileresu[], ch
|
Line 8362 void printinggnuplot(char fileresu[], ch
|
| |
|
| char dirfileres[132],optfileres[132]; |
char dirfileres[132],optfileres[132]; |
| char gplotcondition[132], gplotlabel[132]; |
char gplotcondition[132], gplotlabel[132]; |
| int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,k4=0,ij=0, ijp=0, l=0; |
int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,k4=0,kf=0,kvar=0,kk=0,ipos=0,iposold=0,ij=0, ijp=0, l=0; |
| int lv=0, vlv=0, kl=0; |
int lv=0, vlv=0, kl=0; |
| int ng=0; |
int ng=0; |
| int vpopbased; |
int vpopbased; |
|
Line 7809 void printinggnuplot(char fileresu[], ch
|
Line 8388 void printinggnuplot(char fileresu[], ch
|
| fprintf(ficgp,"yoff=(%d > 2? 0:1);\n",nlstate); |
fprintf(ficgp,"yoff=(%d > 2? 0:1);\n",nlstate); |
| fprintf(ficgp,"\n#Peripheral arrows\nset for [i=1:%d] for [j=1:%d] arrow i*10+j from cos(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d))-(i!=j?(i-j)/abs(i-j)*delta:0), yoff +sin(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) rto -0.95*(cos(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d))+(i!=j?(i-j)/abs(i-j)*delta:0) - cos(pi*((1-(%d/2)*2./%d)/2+(j-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta2:0)), -0.95*(sin(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) - sin(pi*((1-(%d/2)*2./%d)/2+(j-1)*2./%d))+( i!=j?(i-j)/abs(i-j)*delta2:0)) ls (i < j? 1:2)\n",nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate); |
fprintf(ficgp,"\n#Peripheral arrows\nset for [i=1:%d] for [j=1:%d] arrow i*10+j from cos(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d))-(i!=j?(i-j)/abs(i-j)*delta:0), yoff +sin(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) rto -0.95*(cos(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d))+(i!=j?(i-j)/abs(i-j)*delta:0) - cos(pi*((1-(%d/2)*2./%d)/2+(j-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta2:0)), -0.95*(sin(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) - sin(pi*((1-(%d/2)*2./%d)/2+(j-1)*2./%d))+( i!=j?(i-j)/abs(i-j)*delta2:0)) ls (i < j? 1:2)\n",nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate); |
| |
|
| fprintf(ficgp,"\n#Centripete arrows (turning in other direction (1-i) instead of (i-1)) \nset for [i=1:%d] arrow (%d+1)*10+i from cos(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d))-(i!=j?(i-j)/abs(i-j)*delta:0), yoff +sin(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) rto -0.80*(cos(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d))+(i!=j?(i-j)/abs(i-j)*delta:0) ), -0.80*(sin(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) + yoff ) ls 4\n",nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate); |
fprintf(ficgp,"\n#Centripete arrows (turning in other direction (1-i) instead of (i-1)) \nset for [i=1:%d] for [j=1:%d] arrow (%d+1)*10+i from cos(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d))-(i!=j?(i-j)/abs(i-j)*delta:0), yoff +sin(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) rto -0.80*(cos(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d))+(i!=j?(i-j)/abs(i-j)*delta:0) ), -0.80*(sin(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) + yoff ) ls 4\n",nlstate, nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate); |
| fprintf(ficgp,"\n#show arrow\nunset label\n"); |
fprintf(ficgp,"\n#show arrow\nunset label\n"); |
| fprintf(ficgp,"\n#States labels, starting from 2 (2-i) instead of (1-i), was (i-1)\nset for [i=1:%d] label i sprintf(\"State %%d\",i) center at cos(pi*((1-(%d/2)*2./%d)/2+(2-i)*2./%d)), yoff+sin(pi*((1-(%d/2)*2./%d)/2+(2-i)*2./%d)) font \"helvetica, 16\" tc rgbcolor \"blue\"\n",nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate); |
fprintf(ficgp,"\n#States labels, starting from 2 (2-i) instead of (1-i), was (i-1)\nset for [i=1:%d] label i sprintf(\"State %%d\",i) center at cos(pi*((1-(%d/2)*2./%d)/2+(2-i)*2./%d)), yoff+sin(pi*((1-(%d/2)*2./%d)/2+(2-i)*2./%d)) font \"helvetica, 16\" tc rgbcolor \"blue\"\n",nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate); |
| fprintf(ficgp,"\nset label %d+1 sprintf(\"State %%d\",%d+1) center at 0.,0. font \"helvetica, 16\" tc rgbcolor \"red\"\n",nlstate,nlstate); |
fprintf(ficgp,"\nset label %d+1 sprintf(\"State %%d\",%d+1) center at 0.,0. font \"helvetica, 16\" tc rgbcolor \"red\"\n",nlstate,nlstate); |
|
Line 7846 void printinggnuplot(char fileresu[], ch
|
Line 8425 void printinggnuplot(char fileresu[], ch
|
| fprintf(ficgp,"\nset out;unset log\n"); |
fprintf(ficgp,"\nset out;unset log\n"); |
| /* fprintf(ficgp,"\nset out \"%s.svg\"; replot; set out; # bug gnuplot",subdirf2(optionfilefiname,"ILK_")); */ |
/* fprintf(ficgp,"\nset out \"%s.svg\"; replot; set out; # bug gnuplot",subdirf2(optionfilefiname,"ILK_")); */ |
| |
|
| |
/* Plot the probability implied in the likelihood by covariate value */ |
| |
fprintf(ficgp,"\nset ter pngcairo size 640, 480"); |
| |
/* if(debugILK==1){ */ |
| |
for(kf=1; kf <= ncovf; kf++){ /* For each simple dummy covariate of the model */ |
| |
kvar=Tvar[TvarFind[kf]]; /* variable name */ |
| |
/* k=18+Tvar[TvarFind[kf]];/\*offset because there are 18 columns in the ILK_ file but could be placed else where *\/ */ |
| |
/* k=18+kf;/\*offset because there are 18 columns in the ILK_ file *\/ */ |
| |
k=19+kf;/*offset because there are 19 columns in the ILK_ file */ |
| |
for (i=1; i<= nlstate ; i ++) { |
| |
fprintf(ficgp,"\nset out \"%s-p%dj-%d.png\";set ylabel \"Probability for each individual/wave\";",subdirf2(optionfilefiname,"ILK_"),i,kvar); |
| |
fprintf(ficgp,"unset log;\n# For each simple dummy covariate of the model \n plot \"%s\"",subdirf(fileresilk)); |
| |
if(gnuplotversion >=5.2){ /* Former gnuplot versions do not have variable pointsize!! */ |
| |
fprintf(ficgp," u 2:($5 == %d && $6==%d ? $10 : 1/0):($%d==0 ? 7 : 9):($%d==0 ? $6 : $6+4) t \"p%d%d V%d\" with points pt variable ps 0.4 lc variable \\\n",i,1,k,k,i,1,kvar); |
| |
for (j=2; j<= nlstate+ndeath ; j ++) { |
| |
fprintf(ficgp,",\\\n \"\" u 2:($5 == %d && $6==%d ? $10 : 1/0):($%d==0 ? 7 : 9):($%d==0 ? $6 : $6+4) t \"p%d%d V%d\" with points pt variable ps 0.4 lc variable ",i,j,k,k,i,j,kvar); |
| |
} |
| |
}else{ |
| |
fprintf(ficgp," u 2:($5 == %d && $6==%d ? $10 : 1/0):($%d==0 ? $6 : $6+4) t \"p%d%d V%d\" with points pt 7 ps 0.4 lc variable \\\n",i,1,k,i,1,kvar); |
| |
for (j=2; j<= nlstate+ndeath ; j ++) { |
| |
fprintf(ficgp,",\\\n \"\" u 2:($5 == %d && $6==%d ? $10 : 1/0):($%d==0 ? $6 : $6+4) t \"p%d%d V%d\" with points pt 7 ps 0.4 lc variable ",i,j,k,i,j,kvar); |
| |
} |
| |
} |
| |
fprintf(ficgp,";\nset out; unset ylabel;\n"); |
| |
} |
| |
} /* End of each covariate dummy */ |
| |
for(ncovv=1, iposold=0, kk=0; ncovv <= ncovvt ; ncovv++){ |
| |
/* Other example V1 + V3 + V5 + age*V1 + age*V3 + age*V5 + V1*V3 + V3*V5 + V1*V5 |
| |
* kmodel = 1 2 3 4 5 6 7 8 9 |
| |
* varying 1 2 3 4 5 |
| |
* ncovv 1 2 3 4 5 6 7 8 |
| |
* TvarVV[ncovv] V3 5 1 3 3 5 1 5 |
| |
* TvarVVind[ncovv]=kmodel 2 3 7 7 8 8 9 9 |
| |
* TvarFind[kmodel] 1 0 0 0 0 0 0 0 0 |
| |
* kdata ncovcol=[V1 V2] nqv=0 ntv=[V3 V4] nqtv=V5 |
| |
* Dummy[kmodel] 0 0 1 2 2 3 1 1 1 |
| |
*/ |
| |
ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate */ |
| |
kvar=TvarVV[ncovv]; /* TvarVV={3, 1, 3} gives the name of each varying covariate */ |
| |
/* printf("DebugILK ficgp ncovv=%d, kvar=TvarVV[ncovv]=%d, ipos=TvarVVind[ncovv]=%d, Dummy[ipos]=%d, Typevar[ipos]=%d\n", ncovv,kvar,ipos,Dummy[ipos],Typevar[ipos]); */ |
| |
if(ipos!=iposold){ /* Not a product or first of a product */ |
| |
/* printf(" %d",ipos); */ |
| |
/* fprintf(ficresilk," V%d",TvarVV[ncovv]); */ |
| |
/* printf(" DebugILK ficgp suite ipos=%d != iposold=%d\n", ipos, iposold); */ |
| |
kk++; /* Position of the ncovv column in ILK_ */ |
| |
k=18+ncovf+kk; /*offset because there are 18 columns in the ILK_ file plus ncovf fixed covariate */ |
| |
if(Dummy[ipos]==0 && Typevar[ipos]==0){ /* Only if dummy time varying: Dummy(0, 1=quant singor prod without age,2 dummy*age, 3quant*age) Typevar (0 single, 1=*age,2=Vn*vm) */ |
| |
for (i=1; i<= nlstate ; i ++) { |
| |
fprintf(ficgp,"\nset out \"%s-p%dj-%d.png\";set ylabel \"Probability for each individual/wave\";",subdirf2(optionfilefiname,"ILK_"),i,kvar); |
| |
fprintf(ficgp,"unset log;\n# For each simple dummy covariate of the model \n plot \"%s\"",subdirf(fileresilk)); |
| |
|
| |
/* printf("Before DebugILK gnuplotversion=%g >=5.2\n",gnuplotversion); */ |
| |
if(gnuplotversion >=5.2){ /* Former gnuplot versions do not have variable pointsize!! */ |
| |
/* printf("DebugILK gnuplotversion=%g >=5.2\n",gnuplotversion); */ |
| |
fprintf(ficgp," u 2:($5 == %d && $6==%d ? $10 : 1/0):($%d==0 ? 7 : 9):($%d==0 ? $6 : $6+4) t \"p%d%d V%d\" with points pt variable ps 0.4 lc variable \\\n",i,1,k,k,i,1,kvar); |
| |
for (j=2; j<= nlstate+ndeath ; j ++) { |
| |
fprintf(ficgp,",\\\n \"\" u 2:($5 == %d && $6==%d ? $10 : 1/0):($%d==0 ? 7 : 9):($%d==0 ? $6 : $6+4) t \"p%d%d V%d\" with points pt variable ps 0.4 lc variable ",i,j,k,k,i,j,kvar); |
| |
} |
| |
}else{ |
| |
/* printf("DebugILK gnuplotversion=%g <5.2\n",gnuplotversion); */ |
| |
fprintf(ficgp," u 2:($5 == %d && $6==%d ? $10 : 1/0):($%d==0 ? $6 : $6+4) t \"p%d%d V%d\" with points pt 7 ps 0.4 lc variable \\\n",i,1,k,i,1,kvar); |
| |
for (j=2; j<= nlstate+ndeath ; j ++) { |
| |
fprintf(ficgp,",\\\n \"\" u 2:($5 == %d && $6==%d ? $10 : 1/0):($%d==0 ? $6 : $6+4) t \"p%d%d V%d\" with points pt 7 ps 0.4 lc variable ",i,j,k,i,j,kvar); |
| |
} |
| |
} |
| |
fprintf(ficgp,";\nset out; unset ylabel;\n"); |
| |
} |
| |
}/* End if dummy varying */ |
| |
}else{ /*Product */ |
| |
/* printf("*"); */ |
| |
/* fprintf(ficresilk,"*"); */ |
| |
} |
| |
iposold=ipos; |
| |
} /* For each time varying covariate */ |
| |
/* } /\* debugILK==1 *\/ */ |
| |
/* unset log; plot "rrtest1_sorted_4/ILK_rrtest1_sorted_4.txt" u 2:($4 == 1 && $5==2 ? $9 : 1/0):5 t "p12" with points lc variable */ |
| |
/* fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$11):3 t \"All sample, all transitions\" with dots lc variable",subdirf(fileresilk)); */ |
| |
/* fprintf(ficgp,"\nreplot \"%s\" u 2:($3 <= 3 ? -$11 : 1/0):3 t \"First 3 individuals\" with line lc variable", subdirf(fileresilk)); */ |
| |
fprintf(ficgp,"\nset out;unset log\n"); |
| |
/* fprintf(ficgp,"\nset out \"%s.svg\"; replot; set out; # bug gnuplot",subdirf2(optionfilefiname,"ILK_")); */ |
| |
|
| |
|
| |
|
| strcpy(dirfileres,optionfilefiname); |
strcpy(dirfileres,optionfilefiname); |
| strcpy(optfileres,"vpl"); |
strcpy(optfileres,"vpl"); |
| /* 1eme*/ |
/* 1eme*/ |
| for (cpt=1; cpt<= nlstate ; cpt ++){ /* For each live state */ |
for (cpt=1; cpt<= nlstate ; cpt ++){ /* For each live state */ |
| for (k1=1; k1<= m ; k1 ++){ /* For each valid combination of covariate */ |
/* for (k1=1; k1<= m ; k1 ++){ /\* For each valid combination of covariate *\/ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| |
k1=TKresult[nres]; |
| |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ |
/* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ |
| if(m != 1 && TKresult[nres]!= k1) |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| continue; |
/* continue; */ |
| /* We are interested in selected combination by the resultline */ |
/* We are interested in selected combination by the resultline */ |
| /* printf("\n# 1st: Period (stable) prevalence with CI: 'VPL_' files and live state =%d ", cpt); */ |
/* printf("\n# 1st: Period (stable) prevalence with CI: 'VPL_' files and live state =%d ", cpt); */ |
| fprintf(ficgp,"\n# 1st: Forward (stable period) prevalence with CI: 'VPL_' files and live state =%d ", cpt); |
fprintf(ficgp,"\n# 1st: Forward (stable period) prevalence with CI: 'VPL_' files and live state =%d ", cpt); |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the value of the covariate corresponding to k1 combination *\/ */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| lv=codtabm(k1,TnsdVar[Tvaraff[k]]); |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
|
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate k get corresponding value lv for combination k1 *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the value of the covariate corresponding to k1 combination *\\/ *\/ */ |
| vlv= nbcode[Tvaraff[k]][lv]; /* vlv is the value of the covariate lv, 0 or 1 */ |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| /* For each combination of covariate k1 (V1=1, V3=0), we printed the current covariate k and its value vlv */ |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| /* printf(" V%d=%d ",Tvaraff[k],vlv); */ |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* vlv= nbcode[Tvaraff[k]][lv]; /\* vlv is the value of the covariate lv, 0 or 1 *\/ */ |
| } |
/* /\* For each combination of covariate k1 (V1=1, V3=0), we printed the current covariate k and its value vlv *\/ */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* /\* printf(" V%d=%d ",Tvaraff[k],vlv); *\/ */ |
| /* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* /\* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| /* printf("\n#\n"); */ |
/* printf("\n#\n"); */ |
|
Line 7888 void printinggnuplot(char fileresu[], ch
|
Line 8555 void printinggnuplot(char fileresu[], ch
|
| fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres); |
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres); |
| fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres); |
fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres); |
| /* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */ |
/* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */ |
| fprintf(ficgp,"set title \"Alive state %d %s model=%s\" font \"Helvetica,12\"\n",cpt,gplotlabel,model); |
fprintf(ficgp,"set title \"Alive state %d %s model=1+age+%s\" font \"Helvetica,12\"\n",cpt,gplotlabel,model); |
| fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres); |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres); |
| /* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */ |
/* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */ |
| /* k1-1 error should be nres-1*/ |
/* k1-1 error should be nres-1*/ |
|
Line 7987 void printinggnuplot(char fileresu[], ch
|
Line 8654 void printinggnuplot(char fileresu[], ch
|
| /* 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 */ |
| } /* k1 */ |
/* } /\* k1 *\/ */ |
| } /* cpt */ |
} /* cpt */ |
| |
|
| |
|
| /*2 eme*/ |
/*2 eme*/ |
| for (k1=1; k1<= m ; k1 ++){ |
/* for (k1=1; k1<= m ; k1 ++){ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); |
fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| lv=codtabm(k1,TnsdVar[Tvaraff[k]]); |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value *\/ */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination *\\/ *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| /* vlv= nbcode[Tvaraff[k]][lv]; */ |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| } |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| /* for(k=1; k <= ncovds; k++){ */ |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* } */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* /\* for(k=1; k <= ncovds; k++){ *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
|
Line 8055 void printinggnuplot(char fileresu[], ch
|
Line 8727 void printinggnuplot(char fileresu[], ch
|
| } /* vpopbased */ |
} /* vpopbased */ |
| fprintf(ficgp,"\nset out;set out \"%s_%d-%d.svg\"; replot; set out; unset label;\n",subdirf2(optionfilefiname,"E_"),k1,nres); /* Buggy gnuplot */ |
fprintf(ficgp,"\nset out;set out \"%s_%d-%d.svg\"; replot; set out; unset label;\n",subdirf2(optionfilefiname,"E_"),k1,nres); /* Buggy gnuplot */ |
| } /* end nres */ |
} /* end nres */ |
| } /* k1 end 2 eme*/ |
/* } /\* k1 end 2 eme*\/ */ |
| |
|
| |
|
| /*3eme*/ |
/*3eme*/ |
| for (k1=1; k1<= m ; k1 ++){ |
/* for (k1=1; k1<= m ; k1 ++){ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| |
|
| for (cpt=1; cpt<= nlstate ; cpt ++) { /* Fragile no verification of covariate values */ |
for (cpt=1; cpt<= nlstate ; cpt ++) { /* Fragile no verification of covariate values */ |
| fprintf(ficgp,"\n\n# 3d: Life expectancy with EXP_ files: combination=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n\n# 3d: Life expectancy with EXP_ files: combination=%d state=%d",k1, cpt); |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /* Should be the covariate value corresponding to combination k1 and covariate k */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value *\/ */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination *\\/ *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
| /* vlv= nbcode[Tvaraff[k]][lv]; */ |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| } |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][resultmodel[nres][k4]]); |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][resultmodel[nres][k4]]); |
/* } */ |
| } |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
|
Line 8112 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 8789 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
| } |
} |
| fprintf(ficgp,"\nunset label;\n"); |
fprintf(ficgp,"\nunset label;\n"); |
| } /* end nres */ |
} /* end nres */ |
| } /* end kl 3eme */ |
/* } /\* end kl 3eme *\/ */ |
| |
|
| /* 4eme */ |
/* 4eme */ |
| /* Survival functions (period) from state i in state j by initial state i */ |
/* Survival functions (period) from state i in state j by initial state i */ |
| for (k1=1; k1<=m; k1++){ /* For each covariate and each value */ |
/* for (k1=1; k1<=m; k1++){ /\* For each covariate and each value *\/ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state cpt*/ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state cpt*/ |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n# Survival functions in state %d : 'LIJ_' files, cov=%d state=%d", cpt, k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| lv=codtabm(k1,TnsdVar[Tvaraff[k]]); |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value *\/ */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination *\\/ *\/ */ |
| /* vlv= nbcode[Tvaraff[k]][lv]; */ |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| } |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
|
Line 8165 set ter svg size 640, 480\nunset log y\n
|
Line 8847 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 nres */ |
} /* end nres */ |
| } /* end covariate k1 */ |
/* } /\* end covariate k1 *\/ */ |
| |
|
| /* 5eme */ |
/* 5eme */ |
| /* Survival functions (period) from state i in state j by final state j */ |
/* Survival functions (period) from state i in state j by final state j */ |
| 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 */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| lv=codtabm(k1,TnsdVar[Tvaraff[k]]); |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value *\/ */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination *\\/ *\/ */ |
| /* vlv= nbcode[Tvaraff[k]][lv]; */ |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| } |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
|
Line 8225 set ter svg size 640, 480\nunset log y\n
|
Line 8912 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 nres */ |
} /* end nres */ |
| |
|
| /* 6eme */ |
/* 6eme */ |
| /* CV preval stable (period) for each covariate */ |
/* CV preval stable (period) for each covariate */ |
| for (k1=1; k1<= m ; k1 ++) /* For each covariate combination 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 */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state of arrival */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state of arrival */ |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| fprintf(ficgp,"\n#\n#\n#CV preval stable (forward): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#CV preval stable (forward): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| lv=codtabm(k1,TnsdVar[Tvaraff[k]]); |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value *\/ */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination *\\/ *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| /* vlv= nbcode[Tvaraff[k]][lv]; */ |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| } |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
|
Line 8283 set ter svg size 640, 480\nunset log y\n
|
Line 8975 set ter svg size 640, 480\nunset log y\n
|
| /* 7eme */ |
/* 7eme */ |
| if(prevbcast == 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 */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life origin state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life origin state */ |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| fprintf(ficgp,"\n#\n#\n#CV Backward stable prevalence: 'pijb' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#CV Backward stable prevalence: 'pijb' files, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| lv=codtabm(k1,TnsdVar[Tvaraff[k]]); |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value *\/ */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination *\\/ *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| /* vlv= nbcode[Tvaraff[k]][lv]; */ |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| } |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
|
Line 8341 set ter svg size 640, 480\nunset log y\n
|
Line 9038 set ter svg size 640, 480\nunset log y\n
|
| if(prevfcast==1){ |
if(prevfcast==1){ |
| /* Projection from cross-sectional to forward stable (period) prevalence for each covariate */ |
/* Projection from cross-sectional to forward stable (period) 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 */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| fprintf(ficgp,"\n#\n#\n#Projection of prevalence to forward stable prevalence (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#Projection of prevalence to forward stable prevalence (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to k1 combination and kth covariate *\/ */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| lv=codtabm(k1,TnsdVar[Tvaraff[k]]); |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each correspondig covariate value *\/ */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate value corresponding to k1 combination and kth covariate *\\/ *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| /* vlv= nbcode[Tvaraff[k]][lv]; */ |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| } |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
|
Line 8416 set ter svg size 640, 480\nunset log y\n
|
Line 9118 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficgp," u %d:(",ioffset); |
fprintf(ficgp," u %d:(",ioffset); |
| kl=0; |
kl=0; |
| strcpy(gplotcondition,"("); |
strcpy(gplotcondition,"("); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate writing the chain of conditions */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate writing the chain of conditions *\/ */ |
| /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
| lv=codtabm(k1,TnsdVar[Tvaraff[k]]); |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| |
lv=Tvresult[nres][k]; |
| |
vlv=TinvDoQresult[nres][Tvresult[nres][k]]; |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| /* vlv= nbcode[Tvaraff[k]][lv]; /\* Value of the modality of Tvaraff[k] *\/ */ |
/* vlv= nbcode[Tvaraff[k]][lv]; /\* Value of the modality of Tvaraff[k] *\/ */ |
| vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| kl++; |
kl++; |
| sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); |
/* sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); */ |
| |
sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,lv, kl+1, vlv ); |
| kl++; |
kl++; |
| if(k <cptcoveff && cptcoveff>1) |
if(k <cptcovs && cptcovs>1) |
| sprintf(gplotcondition+strlen(gplotcondition)," && "); |
sprintf(gplotcondition+strlen(gplotcondition)," && "); |
| } |
} |
| strcpy(gplotcondition+strlen(gplotcondition),")"); |
strcpy(gplotcondition+strlen(gplotcondition),")"); |
|
Line 8458 set ter svg size 640, 480\nunset log y\n
|
Line 9164 set ter svg size 640, 480\nunset log y\n
|
| if(prevbcast==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 *\/ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| fprintf(ficgp,"\n#\n#\n#Back projection of prevalence to stable (mixed) back prevalence: 'BPROJ_' files, covariatecombination#=%d originstate=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#Back projection of prevalence to stable (mixed) back prevalence: 'BPROJ_' files, covariatecombination#=%d originstate=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to k1 combination and kth covariate *\/ */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /* Should be the covariate value corresponding to combination k1 and covariate k */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each correspondig covariate value *\/ */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate value corresponding to k1 combination and kth covariate *\\/ *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
| /* vlv= nbcode[Tvaraff[k]][lv]; */ |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| } |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
|
Line 8506 set ter svg size 640, 480\nunset log y\n
|
Line 9217 set ter svg size 640, 480\nunset log y\n
|
| }else{ |
}else{ |
| fprintf(ficgp,",\\\n '' "); |
fprintf(ficgp,",\\\n '' "); |
| } |
} |
| if(cptcoveff ==0){ /* No covariate */ |
/* if(cptcoveff ==0){ /\* No covariate *\/ */ |
| |
if(cptcovs ==0){ /* No covariate */ |
| ioffset=2; /* Age is in 2 */ |
ioffset=2; /* Age is in 2 */ |
| /*# yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/ |
/*# yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/ |
| /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */ |
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */ |
|
Line 8533 set ter svg size 640, 480\nunset log y\n
|
Line 9245 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficgp," u %d:(",ioffset); |
fprintf(ficgp," u %d:(",ioffset); |
| kl=0; |
kl=0; |
| strcpy(gplotcondition,"("); |
strcpy(gplotcondition,"("); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate writing the chain of conditions */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k of the resultline, get corresponding value lv for combination k1 */ |
| /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
if(Dummy[modelresult[nres][k]]==0){ /* To be verified */ |
| lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /* Should be the covariate value corresponding to combination k1 and covariate k */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate writing the chain of conditions *\/ */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
lv=Tvresult[nres][k]; |
| /* vlv= nbcode[Tvaraff[k]][lv]; /\* Value of the modality of Tvaraff[k] *\/ */ |
vlv=TinvDoQresult[nres][Tvresult[nres][k]]; |
| vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| kl++; |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| kl++; |
/* vlv= nbcode[Tvaraff[k]][lv]; /\* Value of the modality of Tvaraff[k] *\/ */ |
| if(k <cptcoveff && cptcoveff>1) |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| sprintf(gplotcondition+strlen(gplotcondition)," && "); |
kl++; |
| |
/* sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); */ |
| |
sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%lg " ,kl,Tvresult[nres][k], kl+1,TinvDoQresult[nres][Tvresult[nres][k]]); |
| |
kl++; |
| |
if(k <cptcovs && cptcovs>1) |
| |
sprintf(gplotcondition+strlen(gplotcondition)," && "); |
| |
} |
| } |
} |
| strcpy(gplotcondition+strlen(gplotcondition),")"); |
strcpy(gplotcondition+strlen(gplotcondition),")"); |
| /* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ |
/* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ |
|
Line 8610 set ter svg size 640, 480\nunset log y\n
|
Line 9328 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficgp,"#\n"); |
fprintf(ficgp,"#\n"); |
| for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/ |
for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/ |
| fprintf(ficgp,"#Number of graphics: first is logit, 2nd is probabilities, third is incidences per year\n"); |
fprintf(ficgp,"#Number of graphics: first is logit, 2nd is probabilities, third is incidences per year\n"); |
| fprintf(ficgp,"#model=%s \n",model); |
fprintf(ficgp,"#model=1+age+%s \n",model); |
| fprintf(ficgp,"# Type of graphic ng=%d\n",ng); |
fprintf(ficgp,"# Type of graphic ng=%d\n",ng); |
| fprintf(ficgp,"# k1=1 to 2^%d=%d\n",cptcoveff,m);/* to be checked */ |
/* fprintf(ficgp,"# k1=1 to 2^%d=%d\n",cptcoveff,m);/\* to be checked *\/ */ |
| for(k1=1; k1 <=m; k1++) /* For each combination of covariate */ |
fprintf(ficgp,"# k1=1 to 2^%d=%d\n",cptcovs,m);/* to be checked */ |
| |
/* for(k1=1; k1 <=m; k1++) /\* For each combination of covariate *\/ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(m != 1 && TKresult[nres]!= k1) |
/* k1=nres; */ |
| continue; |
k1=TKresult[nres]; |
| fprintf(ficgp,"\n\n# Combination of dummy k1=%d which is ",k1); |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
fprintf(ficgp,"\n\n# Resultline k1=%d ",k1); |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| /*sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);*/ |
/*sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);*/ |
| for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ |
for (k=1; k<=cptcovs; k++){ /**< cptcovs number of SIMPLE covariates in the model V2+V1 =2 (dummy or quantit or time varying) */ |
| /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to k1 combination and kth covariate *\/ */ |
/* for each resultline nres, and position k, Tvresult[nres][k] gives the name of the variable and |
| lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /* Should be the covariate value corresponding to combination k1 and covariate k */ |
TinvDoQresult[nres][Tvresult[nres][k]] gives its value double or integer) */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
} |
| /* vlv= nbcode[Tvaraff[k]][lv]; */ |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
/* continue; */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* fprintf(ficgp,"\n\n# Combination of dummy k1=%d which is ",k1); */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* strcpy(gplotlabel,"("); */ |
| } |
/* /\*sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);*\/ */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each correspondig covariate value *\/ */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate value corresponding to k1 combination and kth covariate *\\/ *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
/* lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
| } |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* } */ |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),k1,ng,nres); |
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),k1,ng,nres); |
|
Line 8725 set ter svg size 640, 480\nunset log y\n
|
Line 9456 set ter svg size 640, 480\nunset log y\n
|
| } /* end Tprod */ |
} /* end Tprod */ |
| } |
} |
| break; |
break; |
| |
case 3: |
| |
if(cptcovdageprod >0){ |
| |
/* if(j==Tprod[ijp]) { */ /* not necessary */ |
| |
/* printf("Tprod[%d]=%d, j=%d\n", ij, Tprod[ijp], j); */ |
| |
if(ijp <=cptcovprod) { /* Product Vn*Vm and age*VN*Vm*/ |
| |
if(DummyV[Tvardk[ijp][1]]==0){/* Vn is dummy */ |
| |
if(DummyV[Tvardk[ijp][2]]==0){/* Vn and Vm are dummy */ |
| |
/* fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],nbcode[Tvard[ijp][2]][codtabm(k1,j)]); */ |
| |
fprintf(ficgp,"+p%d*%d*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]); |
| |
}else{ /* Vn is dummy and Vm is quanti */ |
| |
/* fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],Tqinvresult[nres][Tvard[ijp][2]]); */ |
| |
fprintf(ficgp,"+p%d*%d*%f*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvardk[ijp][1]],Tqinvresult[nres][Tvardk[ijp][2]]); |
| |
} |
| |
}else{ /* age* Vn*Vm Vn is quanti HERE */ |
| |
if(DummyV[Tvard[ijp][2]]==0){ |
| |
fprintf(ficgp,"+p%d*%d*%f*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvardk[ijp][2]],Tqinvresult[nres][Tvardk[ijp][1]]); |
| |
}else{ /* Both quanti */ |
| |
fprintf(ficgp,"+p%d*%f*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvardk[ijp][1]],Tqinvresult[nres][Tvardk[ijp][2]]); |
| |
} |
| |
} |
| |
ijp++; |
| |
} |
| |
/* } */ /* end Tprod */ |
| |
} |
| |
break; |
| case 0: |
case 0: |
| /* simple covariate */ |
/* simple covariate */ |
| /* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(k1,j)]); /\* Valgrind bug nbcode *\/ */ |
/* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(k1,j)]); /\* Valgrind bug nbcode *\/ */ |
|
Line 8811 set ter svg size 640, 480\nunset log y\n
|
Line 9567 set ter svg size 640, 480\nunset log y\n
|
| } /* end Tprod */ |
} /* end Tprod */ |
| } /* end if */ |
} /* end if */ |
| break; |
break; |
| |
case 3: |
| |
if(cptcovdageprod >0){ |
| |
/* if(j==Tprod[ijp]) { /\* *\/ */ |
| |
/* printf("Tprod[%d]=%d, j=%d\n", ij, Tprod[ijp], j); */ |
| |
if(ijp <=cptcovprod) { /* Product */ |
| |
if(DummyV[Tvardk[ijp][1]]==0){/* Vn is dummy */ |
| |
if(DummyV[Tvardk[ijp][2]]==0){/* Vn and Vm are dummy */ |
| |
/* fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],nbcode[Tvard[ijp][2]][codtabm(k1,j)]); */ |
| |
fprintf(ficgp,"+p%d*%d*%d*x",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvardk[ijp][1]],Tinvresult[nres][Tvardk[ijp][2]]); |
| |
/* fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]); */ |
| |
}else{ /* Vn is dummy and Vm is quanti */ |
| |
/* fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],Tqinvresult[nres][Tvard[ijp][2]]); */ |
| |
fprintf(ficgp,"+p%d*%d*%f*x",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvardk[ijp][1]],Tqinvresult[nres][Tvardk[ijp][2]]); |
| |
/* fprintf(ficgp,"+p%d*%d*%f*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); */ |
| |
} |
| |
}else{ /* Vn*Vm Vn is quanti */ |
| |
if(DummyV[Tvardk[ijp][2]]==0){ |
| |
fprintf(ficgp,"+p%d*%d*%f",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvardk[ijp][2]],Tqinvresult[nres][Tvardk[ijp][1]]); |
| |
/* fprintf(ficgp,"+p%d*%d*%f*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][2]],Tqinvresult[nres][Tvard[ijp][1]]); */ |
| |
}else{ /* Both quanti */ |
| |
fprintf(ficgp,"+p%d*%f*%f",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tqinvresult[nres][Tvardk[ijp][1]],Tqinvresult[nres][Tvardk[ijp][2]]); |
| |
/* fprintf(ficgp,"+p%d*%f*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); */ |
| |
} |
| |
} |
| |
ijp++; |
| |
} |
| |
/* } /\* end Tprod *\/ */ |
| |
} /* end if */ |
| |
break; |
| case 0: |
case 0: |
| /* simple covariate */ |
/* simple covariate */ |
| /* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(k1,j)]); /\* Valgrind bug nbcode *\/ */ |
/* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(k1,j)]); /\* Valgrind bug nbcode *\/ */ |
|
Line 8850 set ter svg size 640, 480\nunset log y\n
|
Line 9635 set ter svg size 640, 480\nunset log y\n
|
| } /* end k2 */ |
} /* end k2 */ |
| /* fprintf(ficgp,"\n set out; unset label;set key default;\n"); */ |
/* fprintf(ficgp,"\n set out; unset label;set key default;\n"); */ |
| fprintf(ficgp,"\n set out; unset title;set key default;\n"); |
fprintf(ficgp,"\n set out; unset title;set key default;\n"); |
| } /* end k1 */ |
} /* end resultline */ |
| } /* end ng */ |
} /* end ng */ |
| /* avoid: */ |
/* avoid: */ |
| fflush(ficgp); |
fflush(ficgp); |
|
Line 9164 void prevforecast(char fileres[], double
|
Line 9949 void prevforecast(char fileres[], double
|
| /* date2dmy(dateintmean,&jintmean,&mintmean,&aintmean); */ |
/* date2dmy(dateintmean,&jintmean,&mintmean,&aintmean); */ |
| /* date2dmy(dateprojd,&jprojd, &mprojd, &anprojd); */ |
/* date2dmy(dateprojd,&jprojd, &mprojd, &anprojd); */ |
| /* date2dmy(dateprojf,&jprojf, &mprojf, &anprojf); */ |
/* 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",jintmean,mintmean,aintmean,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"); |
| |
|
| /* if (h==(int)(YEARM*yearp)){ */ |
/* if (h==(int)(YEARM*yearp)){ */ |
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k=1; k<=i1;k++){ /* We want to find the combination k corresponding to the values of the dummies given in this resut line (to be cleaned one day) */ |
k=TKresult[nres]; |
| if(i1 != 1 && TKresult[nres]!= k) |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
| continue; |
/* for(k=1; k<=i1;k++){ /\* We want to find the combination k corresponding to the values of the dummies given in this resut line (to be cleaned one day) *\/ */ |
| if(invalidvarcomb[k]){ |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
| printf("\nCombination (%d) projection ignored because no cases \n",k); |
/* continue; */ |
| continue; |
/* if(invalidvarcomb[k]){ */ |
| } |
/* printf("\nCombination (%d) projection ignored because no cases \n",k); */ |
| |
/* continue; */ |
| |
/* } */ |
| fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#"); |
fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#"); |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcovs;j++){ |
| /* fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,Tvaraff[j])]); */ |
/* for(j=1;j<=cptcoveff;j++) { */ |
| fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
/* /\* fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,Tvaraff[j])]); *\/ */ |
| } |
/* fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* } */ |
| fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* } */ |
| |
fprintf(ficresf," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| } |
} |
| |
|
| fprintf(ficresf," yearproj age"); |
fprintf(ficresf," yearproj age"); |
| for(j=1; j<=nlstate+ndeath;j++){ |
for(j=1; j<=nlstate+ndeath;j++){ |
| for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
|
Line 9212 void prevforecast(char fileres[], double
|
Line 10003 void prevforecast(char fileres[], double
|
| } |
} |
| } |
} |
| fprintf(ficresf,"\n"); |
fprintf(ficresf,"\n"); |
| for(j=1;j<=cptcoveff;j++) |
/* for(j=1;j<=cptcoveff;j++) */ |
| |
for(j=1;j<=cptcovs;j++) |
| |
fprintf(ficresf,"%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| /* fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,Tvaraff[j])]); /\* Tvaraff not correct *\/ */ |
/* fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,Tvaraff[j])]); /\* Tvaraff not correct *\/ */ |
| fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); /* TnsdVar[Tvaraff] correct */ |
/* fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); /\* TnsdVar[Tvaraff] correct *\/ */ |
| fprintf(ficresf,"%.f %.f ",anprojd+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++) { |
|
Line 9306 void prevforecast(char fileres[], double
|
Line 10099 void prevforecast(char fileres[], double
|
| /* if(jintmean==0) jintmean=1; */ |
/* if(jintmean==0) jintmean=1; */ |
| /* if(mintmean==0) jintmean=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",jintmean,mintmean,aintmean,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",jintmean,mintmean,aintmean,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"); |
| |
|
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k=1; k<=i1;k++){ |
k=TKresult[nres]; |
| if(i1 != 1 && TKresult[nres]!= k) |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
| continue; |
/* for(k=1; k<=i1;k++){ */ |
| if(invalidvarcomb[k]){ |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
| printf("\nCombination (%d) projection ignored because no cases \n",k); |
/* continue; */ |
| continue; |
/* if(invalidvarcomb[k]){ */ |
| } |
/* printf("\nCombination (%d) projection ignored because no cases \n",k); */ |
| |
/* continue; */ |
| |
/* } */ |
| fprintf(ficresfb,"\n#****** hbijx=probability over h years, hb.jx is weighted by observed prev \n#"); |
fprintf(ficresfb,"\n#****** hbijx=probability over h years, hb.jx is weighted by observed prev \n#"); |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcovs;j++){ |
| fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
/* for(j=1;j<=cptcoveff;j++) { */ |
| } |
/* fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* } */ |
| fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficresfb," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| } |
} |
| |
/* fprintf(ficrespij,"******\n"); */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficresfb," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* } */ |
| fprintf(ficresfb," yearbproj age"); |
fprintf(ficresfb," yearbproj age"); |
| for(j=1; j<=nlstate+ndeath;j++){ |
for(j=1; j<=nlstate+ndeath;j++){ |
| for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
|
Line 9359 void prevforecast(char fileres[], double
|
Line 10158 void prevforecast(char fileres[], double
|
| } |
} |
| } |
} |
| 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,TnsdVar[Tvaraff[j]])]); |
for(j=1;j<=cptcovs;j++) |
| |
fprintf(ficresfb,"%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| |
/* fprintf(ficresfb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| fprintf(ficresfb,"%.f %.f ",anbackd+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.; |
|
Line 9419 void prevforecast(char fileres[], double
|
Line 10220 void prevforecast(char fileres[], double
|
| i1=pow(2,cptcoveff); |
i1=pow(2,cptcoveff); |
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k=1; k<=i1;k++){ /* We find the combination equivalent to result line values of dummies */ |
k=TKresult[nres]; |
| |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
| |
/* for(k=1; k<=i1;k++){ /\* We find the combination equivalent to result line values of dummies *\/ */ |
| if(i1 != 1 && TKresult[nres]!= k) |
if(i1 != 1 && TKresult[nres]!= k) |
| continue; |
continue; |
| fprintf(ficresvpl,"\n#****** "); |
fprintf(ficresvpl,"\n#****** "); |
| printf("\n#****** "); |
printf("\n#****** "); |
| fprintf(ficlog,"\n#****** "); |
fprintf(ficlog,"\n#****** "); |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcovs;j++) { |
| fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficresvpl,"V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficlog,"V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
printf("V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| |
/* fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| |
/* printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| } |
} |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ */ |
| printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
/* printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| fprintf(ficresvpl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
/* fprintf(ficresvpl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| } |
/* } */ |
| fprintf(ficresvpl,"******\n"); |
fprintf(ficresvpl,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
| fprintf(ficlog,"******\n"); |
fprintf(ficlog,"******\n"); |
|
Line 9476 void prevforecast(char fileres[], double
|
Line 10281 void prevforecast(char fileres[], double
|
| i1=pow(2,cptcoveff); |
i1=pow(2,cptcoveff); |
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k=1; k<=i1;k++){ |
k=TKresult[nres]; |
| if(i1 != 1 && TKresult[nres]!= k) |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
| continue; |
/* for(k=1; k<=i1;k++){ */ |
| |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
| |
/* continue; */ |
| fprintf(ficresvbl,"\n#****** "); |
fprintf(ficresvbl,"\n#****** "); |
| printf("\n#****** "); |
printf("\n#****** "); |
| fprintf(ficlog,"\n#****** "); |
fprintf(ficlog,"\n#****** "); |
| for(j=1;j<=cptcoveff;j++) { |
for (j=1; j<= cptcovs; j++){ /* For each selected (single) quantitative value */ |
| fprintf(ficresvbl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
printf(" V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]); |
| fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficresvbl," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]); |
| printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficlog," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]); |
| } |
/* for(j=1;j<=cptcoveff;j++) { */ |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
/* fprintf(ficresvbl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
/* fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| fprintf(ficresvbl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
/* printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
/* } */ |
| |
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* fprintf(ficresvbl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| } |
} |
| fprintf(ficresvbl,"******\n"); |
fprintf(ficresvbl,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
|
Line 9951 int readdata(char datafile[], int firsto
|
Line 10762 int readdata(char datafile[], int firsto
|
| char stra[MAXLINE], strb[MAXLINE]; |
char stra[MAXLINE], strb[MAXLINE]; |
| char *stratrunc; |
char *stratrunc; |
| |
|
| DummyV=ivector(1,NCOVMAX); /* 1 to 3 */ |
/* DummyV=ivector(-1,NCOVMAX); /\* 1 to 3 *\/ */ |
| FixedV=ivector(1,NCOVMAX); /* 1 to 3 */ |
/* FixedV=ivector(-1,NCOVMAX); /\* 1 to 3 *\/ */ |
| for(v=1;v<NCOVMAX;v++){ |
|
| DummyV[v]=0; |
ncovcolt=ncovcol+nqv+ntv+nqtv; /* total of covariates in the data, not in the model equation */ |
| FixedV[v]=0; |
|
| } |
|
| |
|
| for(v=1; v <=ncovcol;v++){ |
|
| DummyV[v]=0; |
|
| FixedV[v]=0; |
|
| } |
|
| for(v=ncovcol+1; v <=ncovcol+nqv;v++){ |
|
| DummyV[v]=1; |
|
| FixedV[v]=0; |
|
| } |
|
| for(v=ncovcol+nqv+1; v <=ncovcol+nqv+ntv;v++){ |
|
| DummyV[v]=0; |
|
| FixedV[v]=1; |
|
| } |
|
| for(v=ncovcol+nqv+ntv+1; v <=ncovcol+nqv+ntv+nqtv;v++){ |
|
| DummyV[v]=1; |
|
| FixedV[v]=1; |
|
| } |
|
| for(v=1; v <=ncovcol+nqv+ntv+nqtv;v++){ |
|
| printf("Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); |
|
| fprintf(ficlog,"Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); |
|
| } |
|
| |
|
| if((fic=fopen(datafile,"r"))==NULL) { |
if((fic=fopen(datafile,"r"))==NULL) { |
| printf("Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(stdout); |
printf("Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(stdout); |
| fprintf(ficlog,"Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(ficlog);return 1; |
fprintf(ficlog,"Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(ficlog);return 1; |
|
Line 10056 int readdata(char datafile[], int firsto
|
Line 10844 int readdata(char datafile[], int firsto
|
| if(strb[0]=='.') { /* Missing value */ |
if(strb[0]=='.') { /* Missing value */ |
| lval=-1; |
lval=-1; |
| cotqvar[j][iv][i]=-1; /* 0.0/0.0 */ |
cotqvar[j][iv][i]=-1; /* 0.0/0.0 */ |
| cotvar[j][ntv+iv][i]=-1; /* For performance reasons */ |
cotvar[j][ncovcol+nqv+ntv+iv][i]=-1; /* For performance reasons */ |
| if(isalpha(strb[1])) { /* .m or .d Really Missing value */ |
if(isalpha(strb[1])) { /* .m or .d Really Missing value */ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j);fflush(ficlog); |
|
Line 10076 int readdata(char datafile[], int firsto
|
Line 10864 int readdata(char datafile[], int firsto
|
| return 1; |
return 1; |
| } |
} |
| cotqvar[j][iv][i]=dval; |
cotqvar[j][iv][i]=dval; |
| cotvar[j][ntv+iv][i]=dval; |
cotvar[j][ncovcol+nqv+ntv+iv][i]=dval; /* because cotvar starts now at first ntv */ |
| } |
} |
| strcpy(line,stra); |
strcpy(line,stra); |
| }/* end loop ntqv */ |
}/* end loop ntqv */ |
|
Line 10116 int readdata(char datafile[], int firsto
|
Line 10904 int readdata(char datafile[], int firsto
|
| Exiting.\n",lval,linei, i,line,iv,j);fflush(ficlog); |
Exiting.\n",lval,linei, i,line,iv,j);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| cotvar[j][iv][i]=(double)(lval); |
cotvar[j][ncovcol+nqv+iv][i]=(double)(lval); |
| strcpy(line,stra); |
strcpy(line,stra); |
| }/* end loop ntv */ |
}/* end loop ntv */ |
| |
|
|
Line 10128 int readdata(char datafile[], int firsto
|
Line 10916 int readdata(char datafile[], int firsto
|
| errno=0; |
errno=0; |
| lval=strtol(strb,&endptr,10); |
lval=strtol(strb,&endptr,10); |
| /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ |
/* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ |
| if( strb[0]=='\0' || (*endptr != '\0')){ |
if( strb[0]=='\0' || (*endptr != '\0' )){ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog); |
| |
return 1; |
| |
}else if( lval==0 || lval > nlstate+ndeath){ |
| |
printf("Error in data around '%s' at line number %d for individual %d, '%s'\n Should be a state at wave %d. A state should be 1 to %d and not %ld.\n Fix your data file '%s'! Exiting.\n", strb, linei,i,line,j,nlstate+ndeath, lval, datafile);fflush(stdout); |
| |
fprintf(ficlog,"Error in data around '%s' at line number %d for individual %d, '%s'\n Should be a state at wave %d. A state should be 1 to %d and not %ld.\n Fix your data file '%s'! Exiting.\n", strb, linei,i,line,j,nlstate+ndeath, lval, datafile); fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| } |
} |
|
Line 10329 int decoderesult( char resultline[], int
|
Line 11121 int decoderesult( char resultline[], int
|
| printf("decoderesult:%s\n",resultline); |
printf("decoderesult:%s\n",resultline); |
| |
|
| strcpy(resultsav,resultline); |
strcpy(resultsav,resultline); |
| printf("Decoderesult resultsav=\"%s\" resultline=\"%s\"\n", resultsav, resultline); |
/* printf("Decoderesult resultsav=\"%s\" resultline=\"%s\"\n", resultsav, resultline); */ |
| if (strlen(resultsav) >1){ |
if (strlen(resultsav) >1){ |
| j=nbocc(resultsav,'='); /**< j=Number of covariate values'=' in this resultline */ |
j=nbocc(resultsav,'='); /**< j=Number of covariate values'=' in this resultline */ |
| } |
} |
| if(j == 0){ /* Resultline but no = */ |
if(j == 0 && cptcovs== 0){ /* Resultline but no = and no covariate in the model */ |
| 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 variables in the resultline which is %d, differs from the number %d of single variables used in the model line, %s.\n",j, cptcovs, model); |
fprintf(ficlog,"ERROR: the number of variables in the resultline which is %d, differs from the number %d of single variables used in the model line, 1+age+%s.\n",j, cptcovs, model);fflush(ficlog); |
| fprintf(ficlog,"ERROR: the number of variables in the resultline which is %d, differs from the number %d of single variables used in the model line, %s.\n",j, cptcovs, model); |
printf("ERROR: the number of variables in the resultline which is %d, differs from the number %d of single variables used in the model line, 1+age+%s.\n",j, cptcovs, model);fflush(stdout); |
| /* return 1;*/ |
if(j==0) |
| |
return 1; |
| } |
} |
| 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){ |
|
Line 10378 int decoderesult( char resultline[], int
|
Line 11171 int decoderesult( char resultline[], int
|
| } |
} |
| } |
} |
| if(match == 0){ |
if(match == 0){ |
| printf("Error in result line (Dummy single): V%d is missing in result: %s according to model=%s. Tvar[k1=%d]=%d is different from Tvarsel[k2=%d]=%d.\n",Tvar[k1], resultline, model,k1, Tvar[k1], k2, Tvarsel[k2]); |
printf("Error in result line (Dummy single): V%d is missing in result: %s according to model=1+age+%s. Tvar[k1=%d]=%d is different from Tvarsel[k2=%d]=%d.\n",Tvar[k1], resultline, model,k1, Tvar[k1], k2, Tvarsel[k2]); |
| fprintf(ficlog,"Error in result line (Dummy single): V%d is missing in result: %s according to model=%s\n",Tvar[k1], resultline, model); |
fprintf(ficlog,"Error in result line (Dummy single): V%d is missing in result: %s according to model=1+age+%s\n",Tvar[k1], resultline, model); |
| return 1; |
return 1; |
| } |
} |
| }else if(Typevar[k1]==1){ /* Product with age We want to get the position k2 in the resultline of the product k1 in the model line*/ |
}else if(Typevar[k1]==1){ /* Product with age We want to get the position k2 in the resultline of the product k1 in the model line*/ |
|
Line 10389 int decoderesult( char resultline[], int
|
Line 11182 int decoderesult( char resultline[], int
|
| if(Tvar[k1]==Tvarsel[k2]) {/* Tvar is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */ |
if(Tvar[k1]==Tvarsel[k2]) {/* Tvar is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */ |
| modelresult[nres][k2]=k1;/* we found a Vn=1 corrresponding to Vn*age in the model modelresult[2]=1 modelresult[1]=2 modelresult[3]=3 modelresult[6]=4 modelresult[9]=5 */ |
modelresult[nres][k2]=k1;/* we found a Vn=1 corrresponding to Vn*age in the model modelresult[2]=1 modelresult[1]=2 modelresult[3]=3 modelresult[6]=4 modelresult[9]=5 */ |
| resultmodel[nres][k1]=k2; /* Added here */ |
resultmodel[nres][k1]=k2; /* Added here */ |
| printf("Decoderesult first modelresult[k2=%d]=%d (k1) V%d*AGE\n",k2,k1,Tvar[k1]); |
/* printf("Decoderesult first modelresult[k2=%d]=%d (k1) V%d*AGE\n",k2,k1,Tvar[k1]); */ |
| match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */ |
match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */ |
| break; |
break; |
| } |
} |
| } |
} |
| if(match == 0){ |
if(match == 0){ |
| printf("Error in result line (Product with age): V%d is missing in result: %s according to model=%s (Tvarsel[k2=%d]=%d)\n",Tvar[k1], resultline, model, k2, Tvarsel[k2]); |
printf("Error in result line (Product with age): V%d is missing in result: %s according to model=1+age+%s (Tvarsel[k2=%d]=%d)\n",Tvar[k1], resultline, model, k2, Tvarsel[k2]); |
| fprintf(ficlog,"Error in result line (Product with age): V%d is missing in result: %s according to model=%s (Tvarsel[k2=%d]=%d)\n",Tvar[k1], resultline, model, k2, Tvarsel[k2]); |
fprintf(ficlog,"Error in result line (Product with age): V%d is missing in result: %s according to model=1+age+%s (Tvarsel[k2=%d]=%d)\n",Tvar[k1], resultline, model, k2, Tvarsel[k2]); |
| return 1; |
return 1; |
| } |
} |
| }else if(Typevar[k1]==2){ /* Product No age We want to get the position in the resultline of the product in the model line*/ |
}else if(Typevar[k1]==2 || Typevar[k1]==3){ /* Product with or without age. We want to get the position in the resultline of the product in the model line*/ |
| /* resultmodel[nres][of such a Vn * Vm product k1] is not unique, so can't exist, we feed Tvard[k1][1] and [2] */ |
/* resultmodel[nres][of such a Vn * Vm product k1] is not unique, so can't exist, we feed Tvard[k1][1] and [2] */ |
| match=0; |
match=0; |
| printf("Decoderesult very first Product Tvardk[k1=%d][1]=%d Tvardk[k1=%d][2]=%d V%d * V%d\n",k1,Tvardk[k1][1],k1,Tvardk[k1][2],Tvardk[k1][1],Tvardk[k1][2]); |
/* printf("Decoderesult very first Product Tvardk[k1=%d][1]=%d Tvardk[k1=%d][2]=%d V%d * V%d\n",k1,Tvardk[k1][1],k1,Tvardk[k1][2],Tvardk[k1][1],Tvardk[k1][2]); */ |
| for(k2=1; k2 <=j;k2++){/* Loop on resultline. In result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
for(k2=1; k2 <=j;k2++){/* Loop on resultline. In result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
| if(Tvardk[k1][1]==Tvarsel[k2]) {/* Tvardk is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */ |
if(Tvardk[k1][1]==Tvarsel[k2]) {/* Tvardk is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */ |
| /* modelresult[k2]=k1; */ |
/* modelresult[k2]=k1; */ |
| printf("Decoderesult first Product modelresult[k2=%d]=%d (k1) V%d * \n",k2,k1,Tvarsel[k2]); |
/* printf("Decoderesult first Product modelresult[k2=%d]=%d (k1) V%d * \n",k2,k1,Tvarsel[k2]); */ |
| match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */ |
match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */ |
| } |
} |
| } |
} |
| if(match == 0){ |
if(match == 0){ |
| printf("Error in result line (Product without age first variable): V%d is missing in result: %s according to model=%s\n",Tvardk[k1][1], resultline, model); |
printf("Error in result line (Product without age first variable or double product with age): V%d is missing in result: %s according to model=1+age+%s\n",Tvardk[k1][1], resultline, model); |
| fprintf(ficlog,"Error in result line (Product without age first variable): V%d is missing in result: %s according to model=%s\n",Tvardk[k1][1], resultline, model); |
fprintf(ficlog,"Error in result line (Product without age first variable or double product with age): V%d is missing in result: %s according to model=1+age+%s\n",Tvardk[k1][1], resultline, model); |
| return 1; |
return 1; |
| } |
} |
| match=0; |
match=0; |
| for(k2=1; k2 <=j;k2++){/* Loop on resultline. In result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
for(k2=1; k2 <=j;k2++){/* Loop on resultline. In result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
| if(Tvardk[k1][2]==Tvarsel[k2]) {/* Tvardk is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */ |
if(Tvardk[k1][2]==Tvarsel[k2]) {/* Tvardk is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */ |
| /* modelresult[k2]=k1;*/ |
/* modelresult[k2]=k1;*/ |
| printf("Decoderesult second Product modelresult[k2=%d]=%d (k1) * V%d \n ",k2,k1,Tvarsel[k2]); |
/* printf("Decoderesult second Product modelresult[k2=%d]=%d (k1) * V%d \n ",k2,k1,Tvarsel[k2]); */ |
| match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */ |
match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */ |
| break; |
break; |
| } |
} |
| } |
} |
| if(match == 0){ |
if(match == 0){ |
| printf("Error in result line (Product without age second variable): V%d is missing in result: %s according to model=%s\n",Tvardk[k1][2], resultline, model); |
printf("Error in result line (Product without age second variable or double product with age): V%d is missing in result: %s according to model=1+age+%s\n",Tvardk[k1][2], resultline, model); |
| fprintf(ficlog,"Error in result line (Product without age second variable): V%d is missing in result : %s according to model=%s\n",Tvardk[k1][2], resultline, model); |
fprintf(ficlog,"Error in result line (Product without age second variable or double product with age): V%d is missing in result : %s according to model=1+age+%s\n",Tvardk[k1][2], resultline, model); |
| return 1; |
return 1; |
| } |
} |
| }/* End of testing */ |
}/* End of testing */ |
|
Line 10438 int decoderesult( char resultline[], int
|
Line 11231 int decoderesult( char resultline[], int
|
| match=0; |
match=0; |
| for(k1=1; k1<= cptcovt ;k1++){ /* loop on model: model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
for(k1=1; k1<= cptcovt ;k1++){ /* loop on model: model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| if(Typevar[k1]==0){ /* Single only */ |
if(Typevar[k1]==0){ /* Single only */ |
| if(Tvar[k1]==Tvarsel[k2]) { /* Tvar[2]=4 == Tvarsel[1]=4 */ |
if(Tvar[k1]==Tvarsel[k2]) { /* Tvar[2]=4 == Tvarsel[1]=4 What if a product? */ |
| resultmodel[nres][k1]=k2; /* k1th position in the model equation corresponds to k2th position in the result line. resultmodel[2]=1 resultmodel[1]=2 resultmodel[3]=3 resultmodel[6]=4 resultmodel[9]=5 */ |
resultmodel[nres][k1]=k2; /* k1th position in the model equation corresponds to k2th position in the result line. resultmodel[2]=1 resultmodel[1]=2 resultmodel[3]=3 resultmodel[6]=4 resultmodel[9]=5 */ |
| modelresult[nres][k2]=k1; /* k1th position in the model equation corresponds to k2th position in the result line. modelresult[1]=2 modelresult[2]=1 modelresult[3]=3 remodelresult[4]=6 modelresult[5]=9 */ |
modelresult[nres][k2]=k1; /* k1th position in the model equation corresponds to k2th position in the result line. modelresult[1]=2 modelresult[2]=1 modelresult[3]=3 remodelresult[4]=6 modelresult[5]=9 */ |
| ++match; |
++match; |
|
Line 10446 int decoderesult( char resultline[], int
|
Line 11239 int decoderesult( char resultline[], int
|
| } |
} |
| } |
} |
| if(match == 0){ |
if(match == 0){ |
| printf("Error in result line: variable V%d is missing in model; result: %s, model=%s\n",Tvarsel[k2], resultline, model); |
printf("Error in result line: variable V%d is missing in model; result: %s, model=1+age+%s\n",Tvarsel[k2], resultline, model); |
| fprintf(ficlog,"Error in result line: variable V%d is missing in model; result: %s, model=%s\n",Tvarsel[k2], resultline, model); |
fprintf(ficlog,"Error in result line: variable V%d is missing in model; result: %s, model=1+age+%s\n",Tvarsel[k2], resultline, model); |
| return 1; |
return 1; |
| }else if(match > 1){ |
}else if(match > 1){ |
| printf("Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model); |
printf("Error in result line: %d doubled; result: %s, model=1+age+%s\n",k2, resultline, model); |
| fprintf(ficlog,"Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model); |
fprintf(ficlog,"Error in result line: %d doubled; result: %s, model=1+age+%s\n",k2, resultline, model); |
| return 1; |
return 1; |
| } |
} |
| } |
} |
|
Line 10479 int decoderesult( char resultline[], int
|
Line 11272 int decoderesult( char resultline[], int
|
| /* k counting number of combination of single dummies in the equation model */ |
/* k counting number of combination of single dummies in the equation model */ |
| /* k4 counting single dummies in the equation model */ |
/* k4 counting single dummies in the equation model */ |
| /* k4q counting single quantitatives in the equation model */ |
/* k4q counting single quantitatives in the equation model */ |
| if( Dummy[k1]==0 && Typevar[k1]==0 ){ /* Dummy and Single, k1 is sorting according to MODEL, but k3 to resultline */ |
if( Dummy[k1]==0 && Typevar[k1]==0 ){ /* Dummy and Single, fixed or timevarying, k1 is sorting according to MODEL, but k3 to resultline */ |
| /* k4+1= (not always if quant in model) position in the resultline V(Tvarsel)=Tvalsel=Tresult[nres][pos](value); V(Tvresult[nres][pos] (variable): V(variable)=value) */ |
/* k4+1= (not always if quant in model) position in the resultline V(Tvarsel)=Tvalsel=Tresult[nres][pos](value); V(Tvresult[nres][pos] (variable): V(variable)=value) */ |
| /* modelresult[k3]=k1: k3th position in the result line corresponds to the k1 position in the model line (doesn't work with products)*/ |
/* modelresult[k3]=k1: k3th position in the result line corresponds to the k1 position in the model line (doesn't work with products)*/ |
| /* Value in the (current nres) resultline of the variable at the k1th position in the model equation resultmodel[nres][k1]= k3 */ |
/* Value in the (current nres) resultline of the variable at the k1th position in the model equation resultmodel[nres][k1]= k3 */ |
|
Line 10503 int decoderesult( char resultline[], int
|
Line 11296 int decoderesult( char resultline[], int
|
| Tvresult[nres][k3]=(int)Tvarsel[k3];/* Tvresult[nres][1]=4 Tvresult[nres][3]=1 */ |
Tvresult[nres][k3]=(int)Tvarsel[k3];/* Tvresult[nres][1]=4 Tvresult[nres][3]=1 */ |
| Tinvresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* Tinvresult[nres][4]=1 */ |
Tinvresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* Tinvresult[nres][4]=1 */ |
| precov[nres][k1]=Tvalsel[k3]; /* Value from resultline of the variable at the k1 position in the model */ |
precov[nres][k1]=Tvalsel[k3]; /* Value from resultline of the variable at the k1 position in the model */ |
| printf("Decoderesult Dummy k=%d, k1=%d precov[nres=%d][k1=%d]=%.f V(k2=V%d)= Tvalsel[%d]=%d, 2**(%d)\n",k, k1, nres, k1,precov[nres][k1], k2, k3, (int)Tvalsel[k3], k4); |
/* printf("Decoderesult Dummy k=%d, k1=%d precov[nres=%d][k1=%d]=%.f V(k2=V%d)= Tvalsel[%d]=%d, 2**(%d)\n",k, k1, nres, k1,precov[nres][k1], k2, k3, (int)Tvalsel[k3], k4); */ |
| k4++;; |
k4++;; |
| }else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /* Quantitative and single */ |
}else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /* Quantitative and single */ |
| /* Tqresult[nres][result_position]= value of the variable at the result_position in the nres resultline */ |
/* Tqresult[nres][result_position]= value of the variable at the result_position in the nres resultline */ |
|
Line 10521 int decoderesult( char resultline[], int
|
Line 11314 int decoderesult( char resultline[], int
|
| Tqinvresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */ |
Tqinvresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */ |
| TinvDoQresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */ |
TinvDoQresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */ |
| precov[nres][k1]=Tvalsel[k3q]; |
precov[nres][k1]=Tvalsel[k3q]; |
| printf("Decoderesult Quantitative nres=%d,precov[nres=%d][k1=%d]=%.f V(k2q=V%d)= Tvalsel[%d]=%d, Tvarsel[%d]=%f\n",nres, nres, k1,precov[nres][k1], k2q, k3q, Tvarsel[k3q], k3q, Tvalsel[k3q]); |
/* printf("Decoderesult Quantitative nres=%d,precov[nres=%d][k1=%d]=%.f V(k2q=V%d)= Tvalsel[%d]=%d, Tvarsel[%d]=%f\n",nres, nres, k1,precov[nres][k1], k2q, k3q, Tvarsel[k3q], k3q, Tvalsel[k3q]); */ |
| k4q++;; |
k4q++;; |
| }else if( Dummy[k1]==2 ){ /* For dummy with age product */ |
}else if( Dummy[k1]==2 ){ /* For dummy with age product "V2+V3+V4+V6+V7+V6*V2+V7*V2+V6*V3+V7*V3+V6*V4+V7*V4+age*V2+age*V3+age*V4+age*V6+age*V7+age*V6*V2+age*V6*V3+age*V7*V3+age*V6*V4+age*V7*V4\r"*/ |
| /* Tvar[k1]; */ /* Age variable */ |
/* Tvar[k1]; */ /* Age variable */ /* 17 age*V6*V2 ?*/ |
| /* Wrong we want the value of variable name Tvar[k1] */ |
/* Wrong we want the value of variable name Tvar[k1] */ |
| |
if(Typevar[k1]==2 || Typevar[k1]==3 ){ /* For product quant or dummy (with or without age) */ |
| k3= resultmodel[nres][k1]; /* nres=1 k1=2 resultmodel[2(V4)] = 1=k3 ; k1=3 resultmodel[3(V3)] = 2=k3*/ |
precov[nres][k1]=TinvDoQresult[nres][Tvardk[k1][1]] * TinvDoQresult[nres][Tvardk[k1][2]]; |
| k2=(int)Tvarsel[k3]; /* nres=1 k1=2=>k3=1 Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 (V4); k1=3=>k3=2 Tvarsel[2]=3 (V3)*/ |
/* printf("Decoderesult Quantitative or Dummy (not with age) nres=%d k1=%d precov[nres=%d][k1=%d]=%.f V%d(=%.f) * V%d(=%.f) \n",nres, k1, nres, k1,precov[nres][k1], Tvardk[k1][1], TinvDoQresult[nres][Tvardk[k1][1]], Tvardk[k1][2], TinvDoQresult[nres][Tvardk[k1][2]]); */ |
| TinvDoQresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* TinvDoQresult[nres][4]=1 */ |
}else{ |
| precov[nres][k1]=Tvalsel[k3]; |
k3= resultmodel[nres][k1]; /* nres=1 k1=2 resultmodel[2(V4)] = 1=k3 ; k1=3 resultmodel[3(V3)] = 2=k3*/ |
| printf("Decoderesult Dummy with age k=%d, k1=%d precov[nres=%d][k1=%d]=%.f Tvar[%d]=V%d k2=Tvarsel[%d]=%d Tvalsel[%d]=%d\n",k, k1, nres, k1,precov[nres][k1], k1, Tvar[k1], k3,(int)Tvarsel[k3], k3, (int)Tvalsel[k3]); |
k2=(int)Tvarsel[k3]; /* nres=1 k1=2=>k3=1 Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 (V4); k1=3=>k3=2 Tvarsel[2]=3 (V3)*/ |
| |
TinvDoQresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* TinvDoQresult[nres][4]=1 */ |
| |
precov[nres][k1]=Tvalsel[k3]; |
| |
} |
| |
/* printf("Decoderesult Dummy with age k=%d, k1=%d precov[nres=%d][k1=%d]=%.f Tvar[%d]=V%d k2=Tvarsel[%d]=%d Tvalsel[%d]=%d\n",k, k1, nres, k1,precov[nres][k1], k1, Tvar[k1], k3,(int)Tvarsel[k3], k3, (int)Tvalsel[k3]); */ |
| }else if( Dummy[k1]==3 ){ /* For quant with age product */ |
}else if( Dummy[k1]==3 ){ /* For quant with age product */ |
| k3q= resultmodel[nres][k1]; /* resultmodel[1(V5)] = 25.1=k3q */ |
if(Typevar[k1]==2 || Typevar[k1]==3 ){ /* For product quant or dummy (with or without age) */ |
| k2q=(int)Tvarsel[k3q]; /* Tvarsel[resultmodel[1]]= Tvarsel[1] = 4=k2 */ |
precov[nres][k1]=TinvDoQresult[nres][Tvardk[k1][1]] * TinvDoQresult[nres][Tvardk[k1][2]]; |
| TinvDoQresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* TinvDoQresult[nres][5]=25.1 */ |
/* printf("Decoderesult Quantitative or Dummy (not with age) nres=%d k1=%d precov[nres=%d][k1=%d]=%.f V%d(=%.f) * V%d(=%.f) \n",nres, k1, nres, k1,precov[nres][k1], Tvardk[k1][1], TinvDoQresult[nres][Tvardk[k1][1]], Tvardk[k1][2], TinvDoQresult[nres][Tvardk[k1][2]]); */ |
| precov[nres][k1]=Tvalsel[k3q]; |
}else{ |
| printf("Decoderesult Quantitative with age nres=%d, k1=%d, precov[nres=%d][k1=%d]=%f Tvar[%d]=V%d V(k2q=%d)= Tvarsel[%d]=%d, Tvalsel[%d]=%f\n",nres, k1, nres, k1,precov[nres][k1], k1, Tvar[k1], k2q, k3q, Tvarsel[k3q], k3q, Tvalsel[k3q]); |
k3q= resultmodel[nres][k1]; /* resultmodel[1(V5)] = 25.1=k3q */ |
| }else if(Typevar[k1]==2 ){ /* For product quant or dummy (not with age) */ |
k2q=(int)Tvarsel[k3q]; /* Tvarsel[resultmodel[1]]= Tvarsel[1] = 4=k2 */ |
| |
TinvDoQresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* TinvDoQresult[nres][5]=25.1 */ |
| |
precov[nres][k1]=Tvalsel[k3q]; |
| |
} |
| |
/* printf("Decoderesult Quantitative with age nres=%d, k1=%d, precov[nres=%d][k1=%d]=%f Tvar[%d]=V%d V(k2q=%d)= Tvarsel[%d]=%d, Tvalsel[%d]=%f\n",nres, k1, nres, k1,precov[nres][k1], k1, Tvar[k1], k2q, k3q, Tvarsel[k3q], k3q, Tvalsel[k3q]); */ |
| |
}else if(Typevar[k1]==2 || Typevar[k1]==3 ){ /* For product quant or dummy (with or without age) */ |
| precov[nres][k1]=TinvDoQresult[nres][Tvardk[k1][1]] * TinvDoQresult[nres][Tvardk[k1][2]]; |
precov[nres][k1]=TinvDoQresult[nres][Tvardk[k1][1]] * TinvDoQresult[nres][Tvardk[k1][2]]; |
| printf("Decoderesult Quantitative or Dummy (not with age) nres=%d k1=%d precov[nres=%d][k1=%d]=%.f V%d(=%.f) * V%d(=%.f) \n",nres, k1, nres, k1,precov[nres][k1], Tvardk[k1][1], TinvDoQresult[nres][Tvardk[k1][1]], Tvardk[k1][2], TinvDoQresult[nres][Tvardk[k1][2]]); |
/* printf("Decoderesult Quantitative or Dummy (not with age) nres=%d k1=%d precov[nres=%d][k1=%d]=%.f V%d(=%.f) * V%d(=%.f) \n",nres, k1, nres, k1,precov[nres][k1], Tvardk[k1][1], TinvDoQresult[nres][Tvardk[k1][1]], Tvardk[k1][2], TinvDoQresult[nres][Tvardk[k1][2]]); */ |
| }else{ |
}else{ |
| printf("Error Decoderesult probably a product Dummy[%d]==%d && Typevar[%d]==%d\n", k1, Dummy[k1], k1, Typevar[k1]); |
printf("Error Decoderesult probably a product Dummy[%d]==%d && Typevar[%d]==%d\n", k1, Dummy[k1], k1, Typevar[k1]); |
| fprintf(ficlog,"Error Decoderesult probably a product Dummy[%d]==%d && Typevar[%d]==%d\n", k1, Dummy[k1], k1, Typevar[k1]); |
fprintf(ficlog,"Error Decoderesult probably a product Dummy[%d]==%d && Typevar[%d]==%d\n", k1, Dummy[k1], k1, Typevar[k1]); |
|
Line 10559 int decodemodel( char model[], int lasto
|
Line 11361 int decodemodel( char model[], int lasto
|
| * - cptcovn or number of covariates k of the models excluding age*products =6 and age*age |
* - cptcovn or number of covariates k of the models excluding age*products =6 and age*age |
| * - cptcovage number of covariates with age*products =2 |
* - cptcovage number of covariates with age*products =2 |
| * - cptcovs number of simple covariates |
* - cptcovs number of simple covariates |
| |
* ncovcolt=ncovcol+nqv+ntv+nqtv total of covariates in the data, not in the model equation |
| * - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10 |
* - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10 |
| * which is a new column after the 9 (ncovcol) variables. |
* which is a new column after the 9 (ncovcol+nqv+ntv+nqtv) variables. |
| * - if k is a product Vn*Vm, covar[k][i] is filled with correct values for each individual |
* - if k is a product Vn*Vm, covar[k][i] is filled with correct values for each individual |
| * - Tprod[l] gives the kth covariates of the product Vn*Vm l=1 to cptcovprod-cptcovage |
* - Tprod[l] gives the kth covariates of the product Vn*Vm l=1 to cptcovprod-cptcovage |
| * Tprod[1]@2 {5, 6}: position of first product V7*V8 is 5, and second V5*V6 is 6. |
* Tprod[1]@2 {5, 6}: position of first product V7*V8 is 5, and second V5*V6 is 6. |
|
Line 10569 int decodemodel( char model[], int lasto
|
Line 11372 int decodemodel( char model[], int lasto
|
| /* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1, Tage[1]=2 */ |
/* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1, Tage[1]=2 */ |
| { |
{ |
| int i, j, k, ks, v; |
int i, j, k, ks, v; |
| int j1, k1, k2, k3, k4; |
int n,m; |
| char modelsav[80]; |
int j1, k1, k11, k12, k2, k3, k4; |
| char stra[80], strb[80], strc[80], strd[80],stre[80]; |
char modelsav[300]; |
| |
char stra[300], strb[300], strc[300], strd[300],stre[300],strf[300]; |
| char *strpt; |
char *strpt; |
| |
int **existcomb; |
| |
|
| |
existcomb=imatrix(1,NCOVMAX,1,NCOVMAX); |
| |
for(i=1;i<=NCOVMAX;i++) |
| |
for(j=1;j<=NCOVMAX;j++) |
| |
existcomb[i][j]=0; |
| |
|
| /*removespace(model);*/ |
/*removespace(model);*/ |
| if (strlen(model) >1){ /* If there is at least 1 covariate */ |
if (strlen(model) >1){ /* If there is at least 1 covariate */ |
| j=0, j1=0, k1=0, k2=-1, ks=0, cptcovn=0; |
j=0, j1=0, k1=0, k12=0, k2=-1, ks=0, cptcovn=0; |
| if (strstr(model,"AGE") !=0){ |
if (strstr(model,"AGE") !=0){ |
| printf("Error. AGE must be in lower case 'age' model=1+age+%s. ",model); |
printf("Error. AGE must be in lower case 'age' model=1+age+%s. ",model); |
| fprintf(ficlog,"Error. AGE must be in lower case model=1+age+%s. ",model);fflush(ficlog); |
fprintf(ficlog,"Error. AGE must be in lower case model=1+age+%s. ",model);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| if (strstr(model,"v") !=0){ |
if (strstr(model,"v") !=0){ |
| printf("Error. 'v' must be in upper case 'V' model=%s ",model); |
printf("Error. 'v' must be in upper case 'V' model=1+age+%s ",model); |
| fprintf(ficlog,"Error. 'v' must be in upper case model=%s ",model);fflush(ficlog); |
fprintf(ficlog,"Error. 'v' must be in upper case model=1+age+%s ",model);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| strcpy(modelsav,model); |
strcpy(modelsav,model); |
| if ((strpt=strstr(model,"age*age")) !=0){ |
if ((strpt=strstr(model,"age*age")) !=0){ |
| printf(" strpt=%s, model=%s\n",strpt, model); |
printf(" strpt=%s, model=1+age+%s\n",strpt, model); |
| if(strpt != model){ |
if(strpt != model){ |
| printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ |
printf("Error in model: 'model=1+age+%s'; 'age*age' should in first place before other covariates\n \ |
| 'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
| corresponding column of parameters.\n",model); |
corresponding column of parameters.\n",model); |
| fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ |
fprintf(ficlog,"Error in model: 'model=1+age+%s'; 'age*age' should in first place before other covariates\n \ |
| 'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
| corresponding column of parameters.\n",model); fflush(ficlog); |
corresponding column of parameters.\n",model); fflush(ficlog); |
| return 1; |
return 1; |
|
Line 10608 int decodemodel( char model[], int lasto
|
Line 11418 int decodemodel( char model[], int lasto
|
| substrchaine(modelsav, model, "age*age"); |
substrchaine(modelsav, model, "age*age"); |
| }else |
}else |
| nagesqr=0; |
nagesqr=0; |
| if (strlen(modelsav) >1){ |
if (strlen(modelsav) >1){ /* V2 +V3 +V4 +V6 +V7 +V6*V2 +V7*V2 +V6*V3 +V7*V3 +V6*V4 +V7*V4 +age*V2 +age*V3 +age*V4 +age*V6 +age*V7 +age*V6*V2 +V7*V2 +age*V6*V3 +age*V7*V3 +age*V6*V4 +age*V7*V4 */ |
| j=nbocc(modelsav,'+'); /**< j=Number of '+' */ |
j=nbocc(modelsav,'+'); /**< j=Number of '+' */ |
| j1=nbocc(modelsav,'*'); /**< j1=Number of '*' */ |
j1=nbocc(modelsav,'*'); /**< j1=Number of '*' */ |
| cptcovs=j+1-j1; /**< Number of simple covariates V1+V1*age+V3 +V3*V4+age*age=> V1 + V3 =5-3=2 */ |
cptcovs=0; /**< Number of simple covariates V1 +V1*age +V3 +V3*V4 +age*age => V1 + V3 =4+1-3=2 Wrong */ |
| cptcovt= j+1; /* Number of total covariates in the model, not including |
cptcovt= j+1; /* Number of total covariates in the model, not including |
| * cst, age and age*age |
* cst, age and age*age |
| * V1+V1*age+ V3 + V3*V4+age*age=> 3+1=4*/ |
* V1+V1*age+ V3 + V3*V4+age*age=> 3+1=4*/ |
| /* including age products which are counted in cptcovage. |
/* including age products which are counted in cptcovage. |
| * but the covariates which are products must be treated |
* but the covariates which are products must be treated |
| * separately: ncovn=4- 2=2 (V1+V3). */ |
* separately: ncovn=4- 2=2 (V1+V3). */ |
| cptcovprod=j1; /**< Number of products V1*V2 +v3*age = 2 */ |
cptcovprod=0; /**< Number of products V1*V2 +v3*age = 2 */ |
| |
cptcovdageprod=0; /* Number of doouble products with age age*Vn*VM or Vn*age*Vm or Vn*Vm*age */ |
| cptcovprodnoage=0; /**< Number of covariate products without age: V3*V4 =1 */ |
cptcovprodnoage=0; /**< Number of covariate products without age: V3*V4 =1 */ |
| |
cptcovprodage=0; |
| |
/* cptcovprodage=nboccstr(modelsav,"age");*/ |
| |
|
| /* Design |
/* Design |
| * V1 V2 V3 V4 V5 V6 V7 V8 V9 Weight |
* V1 V2 V3 V4 V5 V6 V7 V8 V9 Weight |
|
Line 10628 int decodemodel( char model[], int lasto
|
Line 11440 int decodemodel( char model[], int lasto
|
| * Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8 |
* Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8 |
| * k= 1 2 3 4 5 6 7 8 |
* k= 1 2 3 4 5 6 7 8 |
| * cptcovn number of covariates (not including constant and age ) = # of + plus 1 = 7+1=8 |
* cptcovn number of covariates (not including constant and age ) = # of + plus 1 = 7+1=8 |
| * covar[k,i], value of kth covariate if not including age for individual i: |
* covar[k,i], are for fixed covariates, value of kth covariate if not including age for individual i: |
| * covar[1][i]= (V1), covar[4][i]=(V4), covar[8][i]=(V8) |
* covar[1][i]= (V1), covar[4][i]=(V4), covar[8][i]=(V8) |
| * Tvar[k] # of the kth covariate: Tvar[1]=2 Tvar[2]=1 Tvar[4]=3 Tvar[8]=8 |
* Tvar[k] # of the kth covariate: Tvar[1]=2 Tvar[2]=1 Tvar[4]=3 Tvar[8]=8 |
| * if multiplied by age: V3*age Tvar[3=V3*age]=3 (V3) Tvar[7]=8 and |
* if multiplied by age: V3*age Tvar[3=V3*age]=3 (V3) Tvar[7]=8 and |
| * Tage[++cptcovage]=k |
* Tage[++cptcovage]=k |
| * if products, new covar are created after ncovcol with k1 |
* if products, new covar are created after ncovcol + nqv (quanti fixed) with k1 |
| * Tvar[k]=ncovcol+k1; # of the kth covariate product: Tvar[5]=ncovcol+1=10 Tvar[6]=ncovcol+1=11 |
* Tvar[k]=ncovcol+k1; # of the kth covariate product: Tvar[5]=ncovcol+1=10 Tvar[6]=ncovcol+1=11 |
| * Tprod[k1]=k; Tprod[1]=5 Tprod[2]= 6; gives the position of the k1th product |
* Tprod[k1]=k; Tprod[1]=5 Tprod[2]= 6; gives the position of the k1th product |
| * Tvard[k1][1]=m Tvard[k1][2]=m; Tvard[1][1]=5 (V5) Tvard[1][2]=6 Tvard[2][1]=7 (V7) Tvard[2][2]=8 |
* Tvard[k1][1]=m Tvard[k1][2]=m; Tvard[1][1]=5 (V5) Tvard[1][2]=6 Tvard[2][1]=7 (V7) Tvard[2][2]=8 |
| * Tvar[cptcovn+k2]=Tvard[k1][1];Tvar[cptcovn+k2+1]=Tvard[k1][2]; |
* Tvar[cptcovn+k2]=Tvard[k1][1];Tvar[cptcovn+k2+1]=Tvard[k1][2]; |
| * Tvar[8+1]=5;Tvar[8+2]=6;Tvar[8+3]=7;Tvar[8+4]=8 inverted |
* Tvar[8+1]=5;Tvar[8+2]=6;Tvar[8+3]=7;Tvar[8+4]=8 inverted |
| * V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 |
* V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 |
| * < ncovcol=8 > |
* < ncovcol=8 8 fixed covariate. Additional starts at 9 (V5*V6) and 10(V7*V8) > |
| * Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8 d1 d1 d2 d2 |
* Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8 d1 d1 d2 d2 |
| * k= 1 2 3 4 5 6 7 8 9 10 11 12 |
* k= 1 2 3 4 5 6 7 8 9 10 11 12 |
| * Tvar[k]= 2 1 3 3 10 11 8 8 5 6 7 8 |
* Tvard[k]= 2 1 3 3 10 11 8 8 5 6 7 8 |
| * p Tvar[1]@12={2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6} |
* p Tvar[1]@12={2, 1, 3, 3, 9, 10, 8, 8} |
| * p Tprod[1]@2={ 6, 5} |
* p Tprod[1]@2={ 6, 5} |
| *p Tvard[1][1]@4= {7, 8, 5, 6} |
*p Tvard[1][1]@4= {7, 8, 5, 6} |
| * covar[k][i]= V2 V1 ? V3 V5*V6? V7*V8? ? V8 |
* covar[k][i]= V2 V1 ? V3 V5*V6? V7*V8? ? V8 |
|
Line 10674 int decodemodel( char model[], int lasto
|
Line 11486 int decodemodel( char model[], int lasto
|
| Tvar[k]=0; Tprod[k]=0; Tposprod[k]=0; |
Tvar[k]=0; Tprod[k]=0; Tposprod[k]=0; |
| } |
} |
| cptcovage=0; |
cptcovage=0; |
| |
|
| |
/* First loop in order to calculate */ |
| |
/* for age*VN*Vm |
| |
* Provides, Typevar[k], Tage[cptcovage], existcomb[n][m], FixedV[ncovcolt+k12] |
| |
* Tprod[k1]=k Tposprod[k]=k1; Tvard[k1][1] =m; |
| |
*/ |
| |
/* Needs FixedV[Tvardk[k][1]] */ |
| |
/* For others: |
| |
* Sets Typevar[k]; |
| |
* Tvar[k]=ncovcol+nqv+ntv+nqtv+k11; |
| |
* Tposprod[k]=k11; |
| |
* Tprod[k11]=k; |
| |
* Tvardk[k][1] =m; |
| |
* Needs FixedV[Tvardk[k][1]] == 0 |
| |
*/ |
| |
|
| for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model line */ |
for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model line */ |
| cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+' cutl from left to right |
cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+' cutl from left to right |
| modelsav==V2+V1+V5*age+V4+V3*age strb=V3*age stra=V2+V1V5*age+V4 */ /* <model> "V5+V4+V3+V4*V3+V5*age+V1*age+V1" strb="V5" stra="V4+V3+V4*V3+V5*age+V1*age+V1" */ |
modelsav==V2+V1+V5*age+V4+V3*age strb=V3*age stra=V2+V1V5*age+V4 */ /* <model> "V5+V4+V3+V4*V3+V5*age+V1*age+V1" strb="V5" stra="V4+V3+V4*V3+V5*age+V1*age+V1" */ |
|
Line 10681 int decodemodel( char model[], int lasto
|
Line 11509 int decodemodel( char model[], int lasto
|
| strcpy(strb,modelsav); /* and analyzes it */ |
strcpy(strb,modelsav); /* and analyzes it */ |
| /* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/ |
/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/ |
| /*scanf("%d",i);*/ |
/*scanf("%d",i);*/ |
| if (strchr(strb,'*')) { /**< Model includes a product V2+V1+V5*age+ V4+V3*age strb=V3*age */ |
if (strchr(strb,'*')) { /**< Model includes a product V2+V1+V5*age+ V4+V3*age strb=V3*age OR double product with age strb=age*V6*V2 or V6*V2*age or V6*age*V2 */ |
| cutl(strc,strd,strb,'*'); /**< k=1 strd*strc Vm*Vn: strb=V3*age(input) strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */ |
cutl(strc,strd,strb,'*'); /**< k=1 strd*strc Vm*Vn: strb=V3*age(input) strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 OR strb=age*V6*V2 strc=V6*V2 strd=age OR c=V2*age OR c=age*V2 */ |
| if (strcmp(strc,"age")==0) { /**< Model includes age: Vn*age */ |
if(strchr(strc,'*')) { /**< Model with age and DOUBLE product: allowed since 0.99r44, strc=V6*V2 or V2*age or age*V2, strd=age or V6 or V6 */ |
| /* covar is not filled and then is empty */ |
Typevar[k]=3; /* 3 for age and double product age*Vn*Vm varying of fixed */ |
| cptcovprod--; |
if(strstr(strc,"age")!=0) { /* It means that strc=V2*age or age*V2 and thus that strd=Vn */ |
| cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */ |
cutl(stre,strf,strc,'*') ; /* strf=age or Vm, stre=Vm or age. If strc=V6*V2 then strf=V6 and stre=V2 */ |
| Tvar[k]=atoi(stre); /* V2+V1+V5*age+V4+V3*age Tvar[5]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1 */ |
strcpy(strc,strb); /* save strb(=age*Vn*Vm) into strc */ |
| Typevar[k]=1; /* 1 for age product */ |
/* We want strb=Vn*Vm */ |
| cptcovage++; /* Counts the number of covariates which include age as a product */ |
if(strcmp(strf,"age")==0){ /* strf is "age" so that stre=Vm =V2 . */ |
| Tage[cptcovage]=k; /* V2+V1+V4+V3*age Tvar[4]=3, Tage[1] = 4 or V1+V1*age Tvar[2]=1, Tage[1]=2 */ |
strcpy(strb,strd); |
| /*printf("stre=%s ", stre);*/ |
strcat(strb,"*"); |
| } else if (strcmp(strd,"age")==0) { /* or age*Vn */ |
strcat(strb,stre); |
| cptcovprod--; |
}else{ /* strf=Vm If strf=V6 then stre=V2 */ |
| cutl(stre,strb,strc,'V'); |
strcpy(strb,strf); |
| Tvar[k]=atoi(stre); |
strcat(strb,"*"); |
| Typevar[k]=1; /* 1 for age product */ |
strcat(strb,stre); |
| cptcovage++; |
strcpy(strd,strb); /* in order for strd to not be "age" for next test (will be Vn*Vm */ |
| Tage[cptcovage]=k; |
} |
| } else { /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2 strb=V3*V2*/ |
/* printf("DEBUG FIXED k=%d, Tage[k]=%d, Tvar[Tage[k]=%d,FixedV[Tvar[Tage[k]]]=%d\n",k,Tage[k],Tvar[Tage[k]],FixedV[Tvar[Tage[k]]]); */ |
| /* loops on k1=1 (V3*V2) and k1=2 V4*V3 */ |
/* FixedV[Tvar[Tage[k]]]=0; /\* HERY not sure if V7*V4*age Fixed might not exist yet*\/ */ |
| cptcovn++; |
}else{ /* strc=Vn*Vm (and strd=age) and should be strb=Vn*Vm but want to keep original strb double product */ |
| cptcovprodnoage++;k1++; |
strcpy(stre,strb); /* save full b in stre */ |
| |
strcpy(strb,strc); /* save short c in new short b for next block strb=Vn*Vm*/ |
| |
strcpy(strf,strc); /* save short c in new short f */ |
| |
cutl(strc,strd,strf,'*'); /* We get strd=Vn and strc=Vm for next block (strb=Vn*Vm)*/ |
| |
/* strcpy(strc,stre);*/ /* save full e in c for future */ |
| |
} |
| |
cptcovdageprod++; /* double product with age Which product is it? */ |
| |
/* strcpy(strb,strc); /\* strb was age*V6*V2 or V6*V2*age or V6*age*V2 IS now V6*V2 or V2*age or age*V2 *\/ */ |
| |
/* cutl(strc,strd,strb,'*'); /\* strd= V6 or V2 or age and strc= V2 or age or V2 *\/ */ |
| cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ |
cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ |
| Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* For model-covariate k tells which data-covariate to use but |
n=atoi(stre); |
| because this model-covariate is a construction we invent a new column |
|
| which is after existing variables ncovcol+nqv+ntv+nqtv + k1 |
|
| If already ncovcol=4 and model=V2 + V1 +V1*V4 +age*V3 +V3*V2 |
|
| thus after V4 we invent V5 and V6 because age*V3 will be computed in 4 |
|
| Tvar[3=V1*V4]=4+1=5 Tvar[5=V3*V2]=4 + 2= 6, Tvar[4=age*V3]=4 etc */ |
|
| Typevar[k]=2; /* 2 for double fixed dummy covariates */ |
|
| cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ |
cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ |
| Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 */ |
m=atoi(strc); |
| Tposprod[k]=k1; /* Tposprod[3]=1, Tposprod[2]=5 */ |
cptcovage++; /* Counts the number of covariates which include age as a product */ |
| Tvard[k1][1] =atoi(strc); /* m 1 for V1*/ |
Tage[cptcovage]=k; /* For age*V3*V2 gives the position in model of covariates associated with age Tage[1]=6 HERY too*/ |
| Tvardk[k][1] =atoi(strc); /* m 1 for V1*/ |
if(existcomb[n][m] == 0){ |
| Tvard[k1][2] =atoi(stre); /* n 4 for V4*/ |
/* r /home/brouard/Documents/Recherches/REVES/Zachary/Zach-2022/Feinuo_Sun/Feinuo-threeway/femV12V15_3wayintNBe.imach */ |
| Tvardk[k][2] =atoi(stre); /* n 4 for V4*/ |
printf("Warning in model combination V%d*V%d should exist in the model before adding V%d*V%d*age !\n",n,m,n,m); |
| k2=k2+2; /* k2 is initialize to -1, We want to store the n and m in Vn*Vm at the end of Tvar */ |
fprintf(ficlog,"Warning in model combination V%d*V%d should exist in the model before adding V%d*V%d*age !\n",n,m,n,m); |
| /* Tvar[cptcovt+k2]=Tvard[k1][1]; /\* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) *\/ */ |
fflush(ficlog); |
| /* Tvar[cptcovt+k2+1]=Tvard[k1][2]; /\* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) *\/ */ |
k1++; /* The combination Vn*Vm will be in the model so we create it at k1 */ |
| /*ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2, Tvar[3]=5, Tvar[4]=6, cptcovt=5 */ |
k12++; |
| /* 1 2 3 4 5 | Tvar[5+1)=1, Tvar[7]=2 */ |
existcomb[n][m]=k1; |
| for (i=1; i<=lastobs;i++){ |
existcomb[m][n]=k1; |
| /* Computes the new covariate which is a product of |
Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; |
| covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */ |
Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2+ age*V6*V3 Gives the k position of the k1 double product Vn*Vm or age*Vn*Vm*/ |
| covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i]; |
Tposprod[k]=k1; /* Tposprod[3]=1, Tposprod[2]=5 Gives the k1 double product Vn*Vm or age*Vn*Vm at the k position */ |
| |
Tvard[k1][1] =m; /* m 1 for V1*/ |
| |
Tvardk[k][1] =m; /* m 1 for V1*/ |
| |
Tvard[k1][2] =n; /* n 4 for V4*/ |
| |
Tvardk[k][2] =n; /* n 4 for V4*/ |
| |
/* Tvar[Tage[cptcovage]]=k1;*/ /* Tvar[6=age*V3*V2]=9 (new fixed covariate) */ /* We don't know about Fixed yet HERE */ |
| |
if( FixedV[Tvardk[k][1]] == 0 && FixedV[Tvardk[k][2]] == 0){ /* If the product is a fixed covariate then we feed the new column with Vn*Vm */ |
| |
for (i=1; i<=lastobs;i++){/* For fixed product */ |
| |
/* Computes the new covariate which is a product of |
| |
covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */ |
| |
covar[ncovcolt+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i]; |
| |
} |
| |
cptcovprodage++; /* Counting the number of fixed covariate with age */ |
| |
FixedV[ncovcolt+k12]=0; /* We expand Vn*Vm */ |
| |
k12++; |
| |
FixedV[ncovcolt+k12]=0; |
| |
}else{ /*End of FixedV */ |
| |
cptcovprodvage++; /* Counting the number of varying covariate with age */ |
| |
FixedV[ncovcolt+k12]=1; /* We expand Vn*Vm */ |
| |
k12++; |
| |
FixedV[ncovcolt+k12]=1; |
| |
} |
| |
}else{ /* k1 Vn*Vm already exists */ |
| |
k11=existcomb[n][m]; |
| |
Tposprod[k]=k11; /* OK */ |
| |
Tvar[k]=Tvar[Tprod[k11]]; /* HERY */ |
| |
Tvardk[k][1]=m; |
| |
Tvardk[k][2]=n; |
| |
if( FixedV[Tvardk[k][1]] == 0 && FixedV[Tvardk[k][2]] == 0){ /* If the product is a fixed covariate then we feed the new column with Vn*Vm */ |
| |
/*cptcovage++;*/ /* Counts the number of covariates which include age as a product */ |
| |
cptcovprodage++; /* Counting the number of fixed covariate with age */ |
| |
/*Tage[cptcovage]=k;*/ /* For age*V3*V2 Tage[1]=V3*V3=9 HERY too*/ |
| |
Tvar[Tage[cptcovage]]=k1; |
| |
FixedV[ncovcolt+k12]=0; /* We expand Vn*Vm */ |
| |
k12++; |
| |
FixedV[ncovcolt+k12]=0; |
| |
}else{ /* Already exists but time varying (and age) */ |
| |
/*cptcovage++;*/ /* Counts the number of covariates which include age as a product */ |
| |
/*Tage[cptcovage]=k;*/ /* For age*V3*V2 Tage[1]=V3*V3=9 HERY too*/ |
| |
/* Tvar[Tage[cptcovage]]=k1; */ |
| |
cptcovprodvage++; |
| |
FixedV[ncovcolt+k12]=1; /* We expand Vn*Vm */ |
| |
k12++; |
| |
FixedV[ncovcolt+k12]=1; |
| |
} |
| } |
} |
| } /* End age is not in the model */ |
/* Tage[cptcovage]=k; /\* V2+V1+V4+V3*age Tvar[4]=3, Tage[1] = 4 or V1+V1*age Tvar[2]=1, Tage[1]=2 *\/ */ |
| } /* End if model includes a product */ |
/* Tvar[k]=k11; /\* HERY *\/ */ |
| else { /* not a product */ |
} else {/* simple product strb=age*Vn so that c=Vn and d=age, or strb=Vn*age so that c=age and d=Vn, or b=Vn*Vm so that c=Vm and d=Vn */ |
| |
cptcovprod++; |
| |
if (strcmp(strc,"age")==0) { /**< Model includes age: strb= Vn*age c=age d=Vn*/ |
| |
/* covar is not filled and then is empty */ |
| |
cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */ |
| |
Tvar[k]=atoi(stre); /* V2+V1+V5*age+V4+V3*age Tvar[5]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1 */ |
| |
Typevar[k]=1; /* 1 for age product */ |
| |
cptcovage++; /* Counts the number of covariates which include age as a product */ |
| |
Tage[cptcovage]=k; /* V2+V1+V4+V3*age Tvar[4]=3, Tage[1] = 4 or V1+V1*age Tvar[2]=1, Tage[1]=2 */ |
| |
if( FixedV[Tvar[k]] == 0){ |
| |
cptcovprodage++; /* Counting the number of fixed covariate with age */ |
| |
}else{ |
| |
cptcovprodvage++; /* Counting the number of fixedvarying covariate with age */ |
| |
} |
| |
/*printf("stre=%s ", stre);*/ |
| |
} else if (strcmp(strd,"age")==0) { /* strb= age*Vn c=Vn */ |
| |
cutl(stre,strb,strc,'V'); |
| |
Tvar[k]=atoi(stre); |
| |
Typevar[k]=1; /* 1 for age product */ |
| |
cptcovage++; |
| |
Tage[cptcovage]=k; |
| |
if( FixedV[Tvar[k]] == 0){ |
| |
cptcovprodage++; /* Counting the number of fixed covariate with age */ |
| |
}else{ |
| |
cptcovprodvage++; /* Counting the number of fixedvarying covariate with age */ |
| |
} |
| |
}else{ /* for product Vn*Vm */ |
| |
Typevar[k]=2; /* 2 for product Vn*Vm */ |
| |
cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ |
| |
n=atoi(stre); |
| |
cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ |
| |
m=atoi(strc); |
| |
k1++; |
| |
cptcovprodnoage++; |
| |
if(existcomb[n][m] != 0 || existcomb[m][n] != 0){ |
| |
printf("Warning in model combination V%d*V%d already exists in the model in position k1=%d!\n",n,m,existcomb[n][m]); |
| |
fprintf(ficlog,"Warning in model combination V%d*V%d already exists in the model in position k1=%d!\n",n,m,existcomb[n][m]); |
| |
fflush(ficlog); |
| |
k11=existcomb[n][m]; |
| |
Tvar[k]=ncovcol+nqv+ntv+nqtv+k11; |
| |
Tposprod[k]=k11; |
| |
Tprod[k11]=k; |
| |
Tvardk[k][1] =m; /* m 1 for V1*/ |
| |
/* Tvard[k11][1] =m; /\* n 4 for V4*\/ */ |
| |
Tvardk[k][2] =n; /* n 4 for V4*/ |
| |
/* Tvard[k11][2] =n; /\* n 4 for V4*\/ */ |
| |
}else{ /* combination Vn*Vm doesn't exist we create it (no age)*/ |
| |
existcomb[n][m]=k1; |
| |
existcomb[m][n]=k1; |
| |
Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* ncovcolt+k1; For model-covariate k tells which data-covariate to use but |
| |
because this model-covariate is a construction we invent a new column |
| |
which is after existing variables ncovcol+nqv+ntv+nqtv + k1 |
| |
If already ncovcol=4 and model= V2 + V1 + V1*V4 + age*V3 + V3*V2 |
| |
thus after V4 we invent V5 and V6 because age*V3 will be computed in 4 |
| |
Tvar[3=V1*V4]=4+1=5 Tvar[5=V3*V2]=4 + 2= 6, Tvar[4=age*V3]=3 etc */ |
| |
/* Please remark that the new variables are model dependent */ |
| |
/* If we have 4 variable but the model uses only 3, like in |
| |
* model= V1 + age*V1 + V2 + V3 + age*V2 + age*V3 + V1*V2 + V1*V3 |
| |
* k= 1 2 3 4 5 6 7 8 |
| |
* Tvar[k]=1 1 2 3 2 3 (5 6) (and not 4 5 because of V4 missing) |
| |
* Tage[kk] [1]= 2 [2]=5 [3]=6 kk=1 to cptcovage=3 |
| |
* Tvar[Tage[kk]][1]=2 [2]=2 [3]=3 |
| |
*/ |
| |
/* We need to feed some variables like TvarVV, but later on next loop because of ncovv (k2) is not correct */ |
| |
Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 +V6*V2*age */ |
| |
Tposprod[k]=k1; /* Tposprod[3]=1, Tposprod[2]=5 */ |
| |
Tvard[k1][1] =m; /* m 1 for V1*/ |
| |
Tvardk[k][1] =m; /* m 1 for V1*/ |
| |
Tvard[k1][2] =n; /* n 4 for V4*/ |
| |
Tvardk[k][2] =n; /* n 4 for V4*/ |
| |
k2=k2+2; /* k2 is initialize to -1, We want to store the n and m in Vn*Vm at the end of Tvar */ |
| |
/* Tvar[cptcovt+k2]=Tvard[k1][1]; /\* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) *\/ */ |
| |
/* Tvar[cptcovt+k2+1]=Tvard[k1][2]; /\* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) *\/ */ |
| |
/*ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2, Tvar[3]=5, Tvar[4]=6, cptcovt=5 */ |
| |
/* 1 2 3 4 5 | Tvar[5+1)=1, Tvar[7]=2 */ |
| |
if( FixedV[Tvardk[k][1]] == 0 && FixedV[Tvardk[k][2]] == 0){ /* If the product is a fixed covariate then we feed the new column with Vn*Vm */ |
| |
for (i=1; i<=lastobs;i++){/* For fixed product */ |
| |
/* Computes the new covariate which is a product of |
| |
covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */ |
| |
covar[ncovcolt+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i]; |
| |
} |
| |
/* TvarVV[k2]=n; */ |
| |
/* FixedV[ncovcolt+k2]=0; /\* or FixedV[Tvar[k]]=0; FixedV[TvarVV[ncovv]]=0 HERE *\/ */ |
| |
/* TvarVV[k2+1]=m; */ |
| |
/* FixedV[ncovcolt+k2]=0; /\* or FixedV[Tvar[k]]=0; FixedV[TvarVV[ncovv]]=0 HERE *\/ */ |
| |
}else{ /* not FixedV */ |
| |
/* TvarVV[k2]=n; */ |
| |
/* FixedV[ncovcolt+k2]=0; /\* or FixedV[Tvar[k]]=0; FixedV[TvarVV[ncovv]]=0 HERE *\/ */ |
| |
/* TvarVV[k2+1]=m; */ |
| |
/* FixedV[ncovcolt+k2]=0; /\* or FixedV[Tvar[k]]=0; FixedV[TvarVV[ncovv]]=0 HERE *\/ */ |
| |
} |
| |
} /* End of creation of Vn*Vm if not created by age*Vn*Vm earlier */ |
| |
} /* End of product Vn*Vm */ |
| |
} /* End of age*double product or simple product */ |
| |
}else { /* not a product */ |
| /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/ |
/*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/ |
| /* scanf("%d",i);*/ |
/* scanf("%d",i);*/ |
| cutl(strd,strc,strb,'V'); |
cutl(strd,strc,strb,'V'); |
|
Line 10743 int decodemodel( char model[], int lasto
|
Line 11711 int decodemodel( char model[], int lasto
|
| /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav); |
/*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav); |
| scanf("%d",i);*/ |
scanf("%d",i);*/ |
| } /* end of loop + on total covariates */ |
} /* end of loop + on total covariates */ |
| |
|
| |
|
| } /* end if strlen(modelsave == 0) age*age might exist */ |
} /* end if strlen(modelsave == 0) age*age might exist */ |
| } /* end if strlen(model == 0) */ |
} /* end if strlen(model == 0) */ |
| |
cptcovs=cptcovt - cptcovdageprod - cptcovprod;/**< Number of simple covariates V1 +V1*age +V3 +V3*V4 +age*age + age*v4*V3=> V1 + V3 =4+1-3=2 */ |
| |
|
| /*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products. |
/*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products. |
| If model=V1+V1*age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0*/ |
If model=V1+V1*age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0*/ |
| |
|
|
Line 10771 int decodemodel( char model[], int lasto
|
Line 11742 int decodemodel( char model[], int lasto
|
| /* Tvar[k] is the value n of Vn with n varying for 1 to nvcol, or p Vp=Vn*Vm for product */ |
/* Tvar[k] is the value n of Vn with n varying for 1 to nvcol, or p Vp=Vn*Vm for product */ |
| /* Computing effective variables, ie used by the model, that is from the cptcovt variables */ |
/* Computing effective variables, ie used by the model, that is from the cptcovt variables */ |
| printf("Model=1+age+%s\n\ |
printf("Model=1+age+%s\n\ |
| Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product \n\ |
Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product, 3 for double product with age \n\ |
| Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\ |
Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\ |
| Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model); |
Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model); |
| fprintf(ficlog,"Model=1+age+%s\n\ |
fprintf(ficlog,"Model=1+age+%s\n\ |
| Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product \n\ |
Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product, 3 for double product with age \n\ |
| Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\ |
Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\ |
| Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model); |
Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model); |
| for(k=-1;k<=cptcovt; k++){ Fixed[k]=0; Dummy[k]=0;} |
for(k=-1;k<=NCOVMAX; k++){ Fixed[k]=0; Dummy[k]=0;} |
| for(k=1, ncovf=0, nsd=0, nsq=0, ncovv=0, ncova=0, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0;k<=cptcovt; k++){ /* or cptocvt */ |
for(k=1;k<=NCOVMAX; k++){TvarFind[k]=0; TvarVind[k]=0;} |
| |
|
| |
|
| |
/* Second loop for calculating Fixed[k], Dummy[k]*/ |
| |
|
| |
|
| |
for(k=1, ncovf=0, nsd=0, nsq=0, ncovv=0,ncovva=0,ncovvta=0, ncova=0, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0, ncovvt=0;k<=cptcovt; k++){ /* or cptocvt loop on k from model */ |
| if (Tvar[k] <=ncovcol && Typevar[k]==0 ){ /* Simple fixed dummy (<=ncovcol) covariates */ |
if (Tvar[k] <=ncovcol && Typevar[k]==0 ){ /* Simple fixed dummy (<=ncovcol) covariates */ |
| Fixed[k]= 0; |
Fixed[k]= 0; |
| Dummy[k]= 0; |
Dummy[k]= 0; |
|
Line 10794 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11771 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
| TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| }else if( Tvar[k] <=ncovcol && Typevar[k]==2){ /* Product of fixed dummy (<=ncovcol) covariates */ |
/* }else if( Tvar[k] <=ncovcol && Typevar[k]==2){ /\* Product of fixed dummy (<=ncovcol) covariates For a fixed product k is higher than ncovcol *\/ */ |
| Fixed[k]= 0; |
|
| Dummy[k]= 0; |
|
| ncoveff++; |
|
| ncovf++; |
|
| modell[k].maintype= FTYPE; |
|
| TvarF[ncovf]=Tvar[k]; |
|
| /* TnsdVar[Tvar[k]]=nsd; */ /* To be done */ |
|
| TvarFind[ncovf]=k; |
|
| TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
|
| TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
|
| }else if( Tvar[k] <=ncovcol+nqv && Typevar[k]==0){/* Remind that product Vn*Vm are added in k Only simple fixed quantitative variable */ |
}else if( Tvar[k] <=ncovcol+nqv && Typevar[k]==0){/* Remind that product Vn*Vm are added in k Only simple fixed quantitative variable */ |
| Fixed[k]= 0; |
Fixed[k]= 0; |
| Dummy[k]= 1; |
Dummy[k]= 1; |
|
Line 10820 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11787 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| TvarFQ[nqfveff]=Tvar[k]-ncovcol; /* TvarFQ[1]=V2-1=1st in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
TvarFQ[nqfveff]=Tvar[k]-ncovcol; /* TvarFQ[1]=V2-1=1st in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
| TvarFQind[nqfveff]=k; /* TvarFQind[1]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
TvarFQind[nqfveff]=k; /* TvarFQind[1]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
| }else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){/* Only simple time varying dummy variables */ |
}else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){/* Only simple time varying dummy variables */ |
| |
/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
| |
/* model V1+V3+age*V1+age*V3+V1*V3 */ |
| |
/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
| |
ncovvt++; |
| |
TvarVV[ncovvt]=Tvar[k]; /* TvarVV[1]=V3 (first time varying in the model equation */ |
| |
TvarVVind[ncovvt]=k; /* TvarVVind[1]=2 (second position in the model equation */ |
| |
|
| Fixed[k]= 1; |
Fixed[k]= 1; |
| Dummy[k]= 0; |
Dummy[k]= 0; |
| ntveff++; /* Only simple time varying dummy variable */ |
ntveff++; /* Only simple time varying dummy variable */ |
|
Line 10837 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11811 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| printf("Quasi Tmodelind[%d]=%d,Tvar[Tmodelind[%d]]=V%d, ncovcol=%d, nqv=%d,Tvar[k]- ncovcol-nqv=%d\n",ntveff,k,ntveff,Tvar[k], ncovcol, nqv,Tvar[k]- ncovcol-nqv); |
printf("Quasi Tmodelind[%d]=%d,Tvar[Tmodelind[%d]]=V%d, ncovcol=%d, nqv=%d,Tvar[k]- ncovcol-nqv=%d\n",ntveff,k,ntveff,Tvar[k], ncovcol, nqv,Tvar[k]- ncovcol-nqv); |
| printf("Quasi TmodelInvind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv); |
printf("Quasi TmodelInvind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv); |
| }else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv && Typevar[k]==0){ /* Only simple time varying quantitative variable V5*/ |
}else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv && Typevar[k]==0){ /* Only simple time varying quantitative variable V5*/ |
| |
/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
| |
/* model V1+V3+age*V1+age*V3+V1*V3 */ |
| |
/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
| |
ncovvt++; |
| |
TvarVV[ncovvt]=Tvar[k]; /* TvarVV[1]=V3 (first time varying in the model equation */ |
| |
TvarVVind[ncovvt]=k; /* TvarVV[1]=V3 (first time varying in the model equation */ |
| |
|
| Fixed[k]= 1; |
Fixed[k]= 1; |
| Dummy[k]= 1; |
Dummy[k]= 1; |
| nqtveff++; |
nqtveff++; |
|
Line 10852 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11833 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| TvarVQind[nqtveff]=k; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
TvarVQind[nqtveff]=k; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
| TmodelInvQind[nqtveff]=Tvar[k]- ncovcol-nqv-ntv;/* Only simple time varying quantitative variable */ |
TmodelInvQind[nqtveff]=Tvar[k]- ncovcol-nqv-ntv;/* Only simple time varying quantitative variable */ |
| /* Tmodeliqind[k]=nqtveff;/\* Only simple time varying quantitative variable *\/ */ |
/* Tmodeliqind[k]=nqtveff;/\* Only simple time varying quantitative variable *\/ */ |
| printf("Quasi TmodelQind[%d]=%d,Tvar[TmodelQind[%d]]=V%d, ncovcol=%d, nqv=%d, ntv=%d,Tvar[k]- ncovcol-nqv-ntv=%d\n",nqtveff,k,nqtveff,Tvar[k], ncovcol, nqv, ntv, Tvar[k]- ncovcol-nqv-ntv); |
/* printf("Quasi TmodelQind[%d]=%d,Tvar[TmodelQind[%d]]=V%d, ncovcol=%d, nqv=%d, ntv=%Ad,Tvar[k]- ncovcol-nqv-ntv=%d\n",nqtveff,k,nqtveff,Tvar[k], ncovcol, nqv, ntv, Tvar[k]- ncovcol-nqv-ntv); */ |
| printf("Quasi TmodelInvQind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv-ntv); |
/* printf("Quasi TmodelInvQind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv-ntv); */ |
| }else if (Typevar[k] == 1) { /* product with age */ |
}else if (Typevar[k] == 1) { /* product with age */ |
| ncova++; |
ncova++; |
| TvarA[ncova]=Tvar[k]; |
TvarA[ncova]=Tvar[k]; |
| TvarAind[ncova]=k; |
TvarAind[ncova]=k; |
| |
/** Fixed[k] 0=fixed, 1 varying, 2 fixed with age product, 3 varying with age product */ |
| |
/** Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product */ |
| if (Tvar[k] <=ncovcol ){ /* Product age with fixed dummy covariatee */ |
if (Tvar[k] <=ncovcol ){ /* Product age with fixed dummy covariatee */ |
| Fixed[k]= 2; |
Fixed[k]= 2; |
| Dummy[k]= 2; |
Dummy[k]= 2; |
| modell[k].maintype= ATYPE; |
modell[k].maintype= ATYPE; |
| modell[k].subtype= APFD; |
modell[k].subtype= APFD; |
| |
ncovta++; |
| |
TvarAVVA[ncovta]=Tvar[k]; /* (2)age*V3 */ |
| |
TvarAVVAind[ncovta]=k; |
| /* ncoveff++; */ |
/* ncoveff++; */ |
| }else if( Tvar[k] <=ncovcol+nqv) { /* Remind that product Vn*Vm are added in k*/ |
}else if( Tvar[k] <=ncovcol+nqv) { /* Remind that product Vn*Vm are added in k*/ |
| Fixed[k]= 2; |
Fixed[k]= 2; |
| Dummy[k]= 3; |
Dummy[k]= 3; |
| modell[k].maintype= ATYPE; |
modell[k].maintype= ATYPE; |
| modell[k].subtype= APFQ; /* Product age * fixed quantitative */ |
modell[k].subtype= APFQ; /* Product age * fixed quantitative */ |
| |
ncovta++; |
| |
TvarAVVA[ncovta]=Tvar[k]; /* */ |
| |
TvarAVVAind[ncovta]=k; |
| /* nqfveff++; /\* Only simple fixed quantitative variable *\/ */ |
/* nqfveff++; /\* Only simple fixed quantitative variable *\/ */ |
| }else if( Tvar[k] <=ncovcol+nqv+ntv ){ |
}else if( Tvar[k] <=ncovcol+nqv+ntv ){ |
| Fixed[k]= 3; |
Fixed[k]= 3; |
| Dummy[k]= 2; |
Dummy[k]= 2; |
| modell[k].maintype= ATYPE; |
modell[k].maintype= ATYPE; |
| modell[k].subtype= APVD; /* Product age * varying dummy */ |
modell[k].subtype= APVD; /* Product age * varying dummy */ |
| |
ncovva++; |
| |
TvarVVA[ncovva]=Tvar[k]; /* (1)+age*V6 + (2)age*V7 */ |
| |
TvarVVAind[ncovva]=k; |
| |
ncovta++; |
| |
TvarAVVA[ncovta]=Tvar[k]; /* */ |
| |
TvarAVVAind[ncovta]=k; |
| /* ntveff++; /\* Only simple time varying dummy variable *\/ */ |
/* ntveff++; /\* Only simple time varying dummy variable *\/ */ |
| }else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv){ |
}else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv){ |
| Fixed[k]= 3; |
Fixed[k]= 3; |
| Dummy[k]= 3; |
Dummy[k]= 3; |
| modell[k].maintype= ATYPE; |
modell[k].maintype= ATYPE; |
| modell[k].subtype= APVQ; /* Product age * varying quantitative */ |
modell[k].subtype= APVQ; /* Product age * varying quantitative */ |
| |
ncovva++; |
| |
TvarVVA[ncovva]=Tvar[k]; /* */ |
| |
TvarVVAind[ncovva]=k; |
| |
ncovta++; |
| |
TvarAVVA[ncovta]=Tvar[k]; /* (1)+age*V6 + (2)age*V7 */ |
| |
TvarAVVAind[ncovta]=k; |
| /* nqtveff++;/\* Only simple time varying quantitative variable *\/ */ |
/* nqtveff++;/\* Only simple time varying quantitative variable *\/ */ |
| } |
} |
| }else if (Typevar[k] == 2) { /* product without age */ |
}else if( Tposprod[k]>0 && Typevar[k]==2){ /* Detects if fixed product no age Vm*Vn */ |
| k1=Tposprod[k]; |
printf("MEMORY ERRORR k=%d Tposprod[k]=%d, Typevar[k]=%d\n ",k, Tposprod[k], Typevar[k]); |
| if(Tvard[k1][1] <=ncovcol){ |
if(FixedV[Tvardk[k][1]] == 0 && FixedV[Tvardk[k][2]] == 0){ /* Needs a fixed product Product of fixed dummy (<=ncovcol) covariates For a fixed product k is higher than ncovcol V3*V2 */ |
| if(Tvard[k1][2] <=ncovcol){ |
printf("MEMORY ERRORR k=%d Tvardk[k][1]=%d, Tvardk[k][2]=%d, FixedV[Tvardk[k][1]]=%d,FixedV[Tvardk[k][2]]=%d\n ",k,Tvardk[k][1],Tvardk[k][2],FixedV[Tvardk[k][1]],FixedV[Tvardk[k][2]]); |
| Fixed[k]= 1; |
Fixed[k]= 0; |
| Dummy[k]= 0; |
Dummy[k]= 0; |
| |
ncoveff++; |
| |
ncovf++; |
| |
/* ncovv++; */ |
| |
/* TvarVV[ncovv]=Tvardk[k][1]; */ |
| |
/* FixedV[ncovcolt+ncovv]=0; /\* or FixedV[TvarVV[ncovv]]=0 HERE *\/ */ |
| |
/* ncovv++; */ |
| |
/* TvarVV[ncovv]=Tvardk[k][2]; */ |
| |
/* FixedV[ncovcolt+ncovv]=0; /\* or FixedV[TvarVV[ncovv]]=0 HERE *\/ */ |
| |
modell[k].maintype= FTYPE; |
| |
TvarF[ncovf]=Tvar[k]; |
| |
/* TnsdVar[Tvar[k]]=nsd; */ /* To be done */ |
| |
TvarFind[ncovf]=k; |
| |
TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| |
TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| |
}else{/* product varying Vn * Vm without age, V1+V3+age*V1+age*V3+V1*V3 looking at V1*V3, Typevar={0, 0, 1, 1, 2}, k=5, V1 is fixed, V3 is timevary, V5 is a product */ |
| |
/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
| |
/* model V1+V3+age*V1+age*V3+V1*V3 + V1*V3*age*/ |
| |
/* Tvar={1, 3, 1, 3, 6, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
| |
k1=Tposprod[k]; /* Position in the products of product k, Tposprod={0, 0, 0, 0, 1, 1} k1=1 first product but second time varying because of V3 */ |
| |
ncovvt++; |
| |
TvarVV[ncovvt]=Tvard[k1][1]; /* TvarVV[2]=V1 (because TvarVV[1] was V3, first time varying covariates */ |
| |
TvarVVind[ncovvt]=k; /* TvarVVind[2]=5 (because TvarVVind[2] was V1*V3 at position 5 */ |
| |
ncovvt++; |
| |
TvarVV[ncovvt]=Tvard[k1][2]; /* TvarVV[3]=V3 */ |
| |
TvarVVind[ncovvt]=k; /* TvarVVind[2]=5 (because TvarVVind[2] was V1*V3 at position 5 */ |
| |
|
| |
/** Fixed[k] 0=fixed, 1 varying, 2 fixed with age product, 3 varying with age product */ |
| |
/** Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product */ |
| |
|
| |
if(Tvard[k1][1] <=ncovcol){ /* Vn is dummy fixed, (Tvard[1][1]=V1), (Tvard[1][1]=V3 time varying) */ |
| |
if(Tvard[k1][2] <=ncovcol){ /* Vm is dummy fixed */ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 0; |
| |
modell[k].maintype= FTYPE; |
| |
modell[k].subtype= FPDD; /* Product fixed dummy * fixed dummy */ |
| |
ncovf++; /* Fixed variables without age */ |
| |
TvarF[ncovf]=Tvar[k]; |
| |
TvarFind[ncovf]=k; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv){ /* Vm is quanti fixed */ |
| |
Fixed[k]= 0; /* Fixed product */ |
| |
Dummy[k]= 1; |
| |
modell[k].maintype= FTYPE; |
| |
modell[k].subtype= FPDQ; /* Product fixed dummy * fixed quantitative */ |
| |
ncovf++; /* Varying variables without age */ |
| |
TvarF[ncovf]=Tvar[k]; |
| |
TvarFind[ncovf]=k; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ /* Vm is a time varying dummy covariate */ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 0; |
| |
modell[k].maintype= VTYPE; |
| |
modell[k].subtype= VPDD; /* Product fixed dummy * varying dummy */ |
| |
ncovv++; /* Varying variables without age */ |
| |
TvarV[ncovv]=Tvar[k]; /* TvarV[1]=Tvar[5]=5 because there is a V4 */ |
| |
TvarVind[ncovv]=k;/* TvarVind[1]=5 */ |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ /* Vm is a time varying quantitative covariate */ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
modell[k].maintype= VTYPE; |
| |
modell[k].subtype= VPDQ; /* Product fixed dummy * varying quantitative */ |
| |
ncovv++; /* Varying variables without age */ |
| |
TvarV[ncovv]=Tvar[k]; |
| |
TvarVind[ncovv]=k; |
| |
} |
| |
}else if(Tvard[k1][1] <=ncovcol+nqv){ /* Vn is fixed quanti */ |
| |
if(Tvard[k1][2] <=ncovcol){ /* Vm is fixed dummy */ |
| |
Fixed[k]= 0; /* Fixed product */ |
| |
Dummy[k]= 1; |
| |
modell[k].maintype= FTYPE; |
| |
modell[k].subtype= FPDQ; /* Product fixed quantitative * fixed dummy */ |
| |
ncovf++; /* Fixed variables without age */ |
| |
TvarF[ncovf]=Tvar[k]; |
| |
TvarFind[ncovf]=k; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ /* Vm is time varying */ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
modell[k].maintype= VTYPE; |
| |
modell[k].subtype= VPDQ; /* Product fixed quantitative * varying dummy */ |
| |
ncovv++; /* Varying variables without age */ |
| |
TvarV[ncovv]=Tvar[k]; |
| |
TvarVind[ncovv]=k; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ /* Vm is time varying quanti */ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
modell[k].maintype= VTYPE; |
| |
modell[k].subtype= VPQQ; /* Product fixed quantitative * varying quantitative */ |
| |
ncovv++; /* Varying variables without age */ |
| |
TvarV[ncovv]=Tvar[k]; |
| |
TvarVind[ncovv]=k; |
| |
ncovv++; /* Varying variables without age */ |
| |
TvarV[ncovv]=Tvar[k]; |
| |
TvarVind[ncovv]=k; |
| |
} |
| |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv){ /* Vn is time varying dummy */ |
| |
if(Tvard[k1][2] <=ncovcol){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
modell[k].maintype= VTYPE; |
| |
modell[k].subtype= VPDD; /* Product time varying dummy * fixed dummy */ |
| |
ncovv++; /* Varying variables without age */ |
| |
TvarV[ncovv]=Tvar[k]; |
| |
TvarVind[ncovv]=k; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
modell[k].maintype= VTYPE; |
| |
modell[k].subtype= VPDQ; /* Product time varying dummy * fixed quantitative */ |
| |
ncovv++; /* Varying variables without age */ |
| |
TvarV[ncovv]=Tvar[k]; |
| |
TvarVind[ncovv]=k; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 0; |
| |
modell[k].maintype= VTYPE; |
| |
modell[k].subtype= VPDD; /* Product time varying dummy * time varying dummy */ |
| |
ncovv++; /* Varying variables without age */ |
| |
TvarV[ncovv]=Tvar[k]; |
| |
TvarVind[ncovv]=k; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
modell[k].maintype= VTYPE; |
| |
modell[k].subtype= VPDQ; /* Product time varying dummy * time varying quantitative */ |
| |
ncovv++; /* Varying variables without age */ |
| |
TvarV[ncovv]=Tvar[k]; |
| |
TvarVind[ncovv]=k; |
| |
} |
| |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){ /* Vn is time varying quanti */ |
| |
if(Tvard[k1][2] <=ncovcol){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
modell[k].maintype= VTYPE; |
| |
modell[k].subtype= VPDQ; /* Product time varying quantitative * fixed dummy */ |
| |
ncovv++; /* Varying variables without age */ |
| |
TvarV[ncovv]=Tvar[k]; |
| |
TvarVind[ncovv]=k; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
modell[k].maintype= VTYPE; |
| |
modell[k].subtype= VPQQ; /* Product time varying quantitative * fixed quantitative */ |
| |
ncovv++; /* Varying variables without age */ |
| |
TvarV[ncovv]=Tvar[k]; |
| |
TvarVind[ncovv]=k; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
modell[k].maintype= VTYPE; |
| |
modell[k].subtype= VPDQ; /* Product time varying quantitative * time varying dummy */ |
| |
ncovv++; /* Varying variables without age */ |
| |
TvarV[ncovv]=Tvar[k]; |
| |
TvarVind[ncovv]=k; |
| |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
| |
Fixed[k]= 1; |
| |
Dummy[k]= 1; |
| |
modell[k].maintype= VTYPE; |
| |
modell[k].subtype= VPQQ; /* Product time varying quantitative * time varying quantitative */ |
| |
ncovv++; /* Varying variables without age */ |
| |
TvarV[ncovv]=Tvar[k]; |
| |
TvarVind[ncovv]=k; |
| |
} |
| |
}else{ |
| |
printf("Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
| |
fprintf(ficlog,"Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
| |
} /*end k1*/ |
| |
} |
| |
}else if(Typevar[k] == 3){ /* product Vn * Vm with age, V1+V3+age*V1+age*V3+V1*V3 looking at V1*V3, Typevar={0, 0, 1, 1, 2}, k=5, V1 is fixed, V3 is timevary, V5 is a product */ |
| |
/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
| |
/* model V1+V3+age*V1+age*V3+V1*V3 + V1*V3*age*/ |
| |
/* Tvar={1, 3, 1, 3, 6, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
| |
k1=Tposprod[k]; /* Position in the products of product k, Tposprod={0, 0, 0, 0, 1, 1} k1=1 first product but second time varying because of V3 */ |
| |
ncova++; |
| |
TvarA[ncova]=Tvard[k1][1]; /* TvarVV[2]=V1 (because TvarVV[1] was V3, first time varying covariates */ |
| |
TvarAind[ncova]=k; /* TvarVVind[2]=5 (because TvarVVind[2] was V1*V3 at position 5 */ |
| |
ncova++; |
| |
TvarA[ncova]=Tvard[k1][2]; /* TvarVV[3]=V3 */ |
| |
TvarAind[ncova]=k; /* TvarVVind[2]=5 (because TvarVVind[2] was V1*V3 at position 5 */ |
| |
|
| |
/** Fixed[k] 0=fixed, 1 varying, 2 fixed with age product, 3 varying with age product */ |
| |
/** Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product */ |
| |
if( FixedV[Tvardk[k][1]] == 0 && FixedV[Tvardk[k][2]] == 0){ |
| |
ncovta++; |
| |
TvarAVVA[ncovta]=Tvard[k1][1]; /* age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 */ |
| |
TvarAVVAind[ncovta]=k; |
| |
ncovta++; |
| |
TvarAVVA[ncovta]=Tvard[k1][2]; /* age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 */ |
| |
TvarAVVAind[ncovta]=k; |
| |
}else{ |
| |
ncovva++; /* HERY reached */ |
| |
TvarVVA[ncovva]=Tvard[k1][1]; /* age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 */ |
| |
TvarVVAind[ncovva]=k; |
| |
ncovva++; |
| |
TvarVVA[ncovva]=Tvard[k1][2]; /* */ |
| |
TvarVVAind[ncovva]=k; |
| |
ncovta++; |
| |
TvarAVVA[ncovta]=Tvard[k1][1]; /* age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 */ |
| |
TvarAVVAind[ncovta]=k; |
| |
ncovta++; |
| |
TvarAVVA[ncovta]=Tvard[k1][2]; /* age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 */ |
| |
TvarAVVAind[ncovta]=k; |
| |
} |
| |
if(Tvard[k1][1] <=ncovcol){ /* Vn is dummy fixed, (Tvard[1][1]=V1), (Tvard[1][1]=V3 time varying) */ |
| |
if(Tvard[k1][2] <=ncovcol){ /* Vm is dummy fixed */ |
| |
Fixed[k]= 2; |
| |
Dummy[k]= 2; |
| modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
| modell[k].subtype= FPDD; /* Product fixed dummy * fixed dummy */ |
modell[k].subtype= FPDD; /* Product fixed dummy * fixed dummy */ |
| ncovf++; /* Fixed variables without age */ |
/* TvarF[ncova]=Tvar[k]; /\* Problem to solve *\/ */ |
| TvarF[ncovf]=Tvar[k]; |
/* TvarFind[ncova]=k; */ |
| TvarFind[ncovf]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv){ /* Vm is quanti fixed */ |
| }else if(Tvard[k1][2] <=ncovcol+nqv){ |
Fixed[k]= 2; /* Fixed product */ |
| Fixed[k]= 0; /* or 2 ?*/ |
Dummy[k]= 3; |
| Dummy[k]= 1; |
|
| modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
| modell[k].subtype= FPDQ; /* Product fixed dummy * fixed quantitative */ |
modell[k].subtype= FPDQ; /* Product fixed dummy * fixed quantitative */ |
| ncovf++; /* Varying variables without age */ |
/* TvarF[ncova]=Tvar[k]; */ |
| TvarF[ncovf]=Tvar[k]; |
/* TvarFind[ncova]=k; */ |
| TvarFind[ncovf]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ /* Vm is a time varying dummy covariate */ |
| }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
Fixed[k]= 3; |
| Fixed[k]= 1; |
Dummy[k]= 2; |
| Dummy[k]= 0; |
|
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
| modell[k].subtype= VPDD; /* Product fixed dummy * varying dummy */ |
modell[k].subtype= VPDD; /* Product fixed dummy * varying dummy */ |
| ncovv++; /* Varying variables without age */ |
TvarV[ncova]=Tvar[k]; /* TvarV[1]=Tvar[5]=5 because there is a V4 */ |
| TvarV[ncovv]=Tvar[k]; |
TvarVind[ncova]=k;/* TvarVind[1]=5 */ |
| TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ /* Vm is a time varying quantitative covariate */ |
| }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
Fixed[k]= 3; |
| Fixed[k]= 1; |
Dummy[k]= 3; |
| Dummy[k]= 1; |
|
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
| modell[k].subtype= VPDQ; /* Product fixed dummy * varying quantitative */ |
modell[k].subtype= VPDQ; /* Product fixed dummy * varying quantitative */ |
| ncovv++; /* Varying variables without age */ |
/* ncovv++; /\* Varying variables without age *\/ */ |
| TvarV[ncovv]=Tvar[k]; |
/* TvarV[ncovv]=Tvar[k]; */ |
| TvarVind[ncovv]=k; |
/* TvarVind[ncovv]=k; */ |
| } |
} |
| }else if(Tvard[k1][1] <=ncovcol+nqv){ |
}else if(Tvard[k1][1] <=ncovcol+nqv){ /* Vn is fixed quanti */ |
| if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ /* Vm is fixed dummy */ |
| Fixed[k]= 0; /* or 2 ?*/ |
Fixed[k]= 2; /* Fixed product */ |
| Dummy[k]= 1; |
Dummy[k]= 2; |
| modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
| modell[k].subtype= FPDQ; /* Product fixed quantitative * fixed dummy */ |
modell[k].subtype= FPDQ; /* Product fixed quantitative * fixed dummy */ |
| ncovf++; /* Fixed variables without age */ |
/* ncova++; /\* Fixed variables with age *\/ */ |
| TvarF[ncovf]=Tvar[k]; |
/* TvarF[ncovf]=Tvar[k]; */ |
| TvarFind[ncovf]=k; |
/* TvarFind[ncovf]=k; */ |
| }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ /* Vm is time varying */ |
| Fixed[k]= 1; |
Fixed[k]= 2; |
| Dummy[k]= 1; |
Dummy[k]= 3; |
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
| modell[k].subtype= VPDQ; /* Product fixed quantitative * varying dummy */ |
modell[k].subtype= VPDQ; /* Product fixed quantitative * varying dummy */ |
| ncovv++; /* Varying variables without age */ |
/* ncova++; /\* Varying variables with age *\/ */ |
| TvarV[ncovv]=Tvar[k]; |
/* TvarV[ncova]=Tvar[k]; */ |
| TvarVind[ncovv]=k; |
/* TvarVind[ncova]=k; */ |
| }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ /* Vm is time varying quanti */ |
| Fixed[k]= 1; |
Fixed[k]= 3; |
| Dummy[k]= 1; |
Dummy[k]= 2; |
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
| modell[k].subtype= VPQQ; /* Product fixed quantitative * varying quantitative */ |
modell[k].subtype= VPQQ; /* Product fixed quantitative * varying quantitative */ |
| ncovv++; /* Varying variables without age */ |
ncova++; /* Varying variables without age */ |
| TvarV[ncovv]=Tvar[k]; |
TvarV[ncova]=Tvar[k]; |
| TvarVind[ncovv]=k; |
TvarVind[ncova]=k; |
| ncovv++; /* Varying variables without age */ |
/* ncova++; /\* Varying variables without age *\/ */ |
| TvarV[ncovv]=Tvar[k]; |
/* TvarV[ncova]=Tvar[k]; */ |
| TvarVind[ncovv]=k; |
/* TvarVind[ncova]=k; */ |
| } |
} |
| }else if(Tvard[k1][1] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv){ /* Vn is time varying dummy */ |
| if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
| Fixed[k]= 1; |
Fixed[k]= 2; |
| Dummy[k]= 1; |
Dummy[k]= 2; |
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
| modell[k].subtype= VPDD; /* Product time varying dummy * fixed dummy */ |
modell[k].subtype= VPDD; /* Product time varying dummy * fixed dummy */ |
| ncovv++; /* Varying variables without age */ |
/* ncova++; /\* Varying variables with age *\/ */ |
| TvarV[ncovv]=Tvar[k]; |
/* TvarV[ncova]=Tvar[k]; */ |
| TvarVind[ncovv]=k; |
/* TvarVind[ncova]=k; */ |
| }else if(Tvard[k1][2] <=ncovcol+nqv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
| Fixed[k]= 1; |
Fixed[k]= 2; |
| Dummy[k]= 1; |
Dummy[k]= 3; |
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
| modell[k].subtype= VPDQ; /* Product time varying dummy * fixed quantitative */ |
modell[k].subtype= VPDQ; /* Product time varying dummy * fixed quantitative */ |
| ncovv++; /* Varying variables without age */ |
/* ncova++; /\* Varying variables with age *\/ */ |
| TvarV[ncovv]=Tvar[k]; |
/* TvarV[ncova]=Tvar[k]; */ |
| TvarVind[ncovv]=k; |
/* TvarVind[ncova]=k; */ |
| }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
| Fixed[k]= 1; |
Fixed[k]= 3; |
| Dummy[k]= 0; |
Dummy[k]= 2; |
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
| modell[k].subtype= VPDD; /* Product time varying dummy * time varying dummy */ |
modell[k].subtype= VPDD; /* Product time varying dummy * time varying dummy */ |
| ncovv++; /* Varying variables without age */ |
/* ncova++; /\* Varying variables with age *\/ */ |
| TvarV[ncovv]=Tvar[k]; |
/* TvarV[ncova]=Tvar[k]; */ |
| TvarVind[ncovv]=k; |
/* TvarVind[ncova]=k; */ |
| }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
| Fixed[k]= 1; |
Fixed[k]= 3; |
| Dummy[k]= 1; |
Dummy[k]= 3; |
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
| modell[k].subtype= VPDQ; /* Product time varying dummy * time varying quantitative */ |
modell[k].subtype= VPDQ; /* Product time varying dummy * time varying quantitative */ |
| ncovv++; /* Varying variables without age */ |
/* ncova++; /\* Varying variables with age *\/ */ |
| TvarV[ncovv]=Tvar[k]; |
/* TvarV[ncova]=Tvar[k]; */ |
| TvarVind[ncovv]=k; |
/* TvarVind[ncova]=k; */ |
| } |
} |
| }else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){ /* Vn is time varying quanti */ |
| if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
| Fixed[k]= 1; |
Fixed[k]= 2; |
| Dummy[k]= 1; |
Dummy[k]= 2; |
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
| modell[k].subtype= VPDQ; /* Product time varying quantitative * fixed dummy */ |
modell[k].subtype= VPDQ; /* Product time varying quantitative * fixed dummy */ |
| ncovv++; /* Varying variables without age */ |
/* ncova++; /\* Varying variables with age *\/ */ |
| TvarV[ncovv]=Tvar[k]; |
/* TvarV[ncova]=Tvar[k]; */ |
| TvarVind[ncovv]=k; |
/* TvarVind[ncova]=k; */ |
| }else if(Tvard[k1][2] <=ncovcol+nqv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
| Fixed[k]= 1; |
Fixed[k]= 2; |
| Dummy[k]= 1; |
Dummy[k]= 3; |
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
| modell[k].subtype= VPQQ; /* Product time varying quantitative * fixed quantitative */ |
modell[k].subtype= VPQQ; /* Product time varying quantitative * fixed quantitative */ |
| ncovv++; /* Varying variables without age */ |
/* ncova++; /\* Varying variables with age *\/ */ |
| TvarV[ncovv]=Tvar[k]; |
/* TvarV[ncova]=Tvar[k]; */ |
| TvarVind[ncovv]=k; |
/* TvarVind[ncova]=k; */ |
| }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
| Fixed[k]= 1; |
Fixed[k]= 3; |
| Dummy[k]= 1; |
Dummy[k]= 2; |
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
| modell[k].subtype= VPDQ; /* Product time varying quantitative * time varying dummy */ |
modell[k].subtype= VPDQ; /* Product time varying quantitative * time varying dummy */ |
| ncovv++; /* Varying variables without age */ |
/* ncova++; /\* Varying variables with age *\/ */ |
| TvarV[ncovv]=Tvar[k]; |
/* TvarV[ncova]=Tvar[k]; */ |
| TvarVind[ncovv]=k; |
/* TvarVind[ncova]=k; */ |
| }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
| Fixed[k]= 1; |
Fixed[k]= 3; |
| Dummy[k]= 1; |
Dummy[k]= 3; |
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
| modell[k].subtype= VPQQ; /* Product time varying quantitative * time varying quantitative */ |
modell[k].subtype= VPQQ; /* Product time varying quantitative * time varying quantitative */ |
| ncovv++; /* Varying variables without age */ |
/* ncova++; /\* Varying variables with age *\/ */ |
| TvarV[ncovv]=Tvar[k]; |
/* TvarV[ncova]=Tvar[k]; */ |
| TvarVind[ncovv]=k; |
/* TvarVind[ncova]=k; */ |
| } |
} |
| }else{ |
}else{ |
| printf("Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
printf("Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
| fprintf(ficlog,"Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
fprintf(ficlog,"Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
| } /*end k1*/ |
} /*end k1*/ |
| }else{ |
} else{ |
| printf("Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
printf("Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
| fprintf(ficlog,"Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
fprintf(ficlog,"Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
| } |
} |
| printf("Decodemodel, k=%d, Tvar[%d]=V%d,Typevar=%d, Fixed=%d, Dummy=%d\n",k, k,Tvar[k],Typevar[k],Fixed[k],Dummy[k]); |
/* printf("Decodemodel, k=%d, Tvar[%d]=V%d,Typevar=%d, Fixed=%d, Dummy=%d\n",k, k,Tvar[k],Typevar[k],Fixed[k],Dummy[k]); */ |
| printf(" modell[%d].maintype=%d, modell[%d].subtype=%d\n",k,modell[k].maintype,k,modell[k].subtype); |
/* printf(" modell[%d].maintype=%d, modell[%d].subtype=%d\n",k,modell[k].maintype,k,modell[k].subtype); */ |
| fprintf(ficlog,"Decodemodel, k=%d, Tvar[%d]=V%d,Typevar=%d, Fixed=%d, Dummy=%d\n",k, k,Tvar[k],Typevar[k],Fixed[k],Dummy[k]); |
fprintf(ficlog,"Decodemodel, k=%d, Tvar[%d]=V%d,Typevar=%d, Fixed=%d, Dummy=%d\n",k, k,Tvar[k],Typevar[k],Fixed[k],Dummy[k]); |
| } |
} |
| |
ncovvta=ncovva; |
| /* Searching for doublons in the model */ |
/* Searching for doublons in the model */ |
| for(k1=1; k1<= cptcovt;k1++){ |
for(k1=1; k1<= cptcovt;k1++){ |
| for(k2=1; k2 <k1;k2++){ |
for(k2=1; k2 <k1;k2++){ |
|
Line 11035 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 12238 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| if((Typevar[k1]==Typevar[k2]) && (Fixed[k1]==Fixed[k2]) && (Dummy[k1]==Dummy[k2] )){ |
if((Typevar[k1]==Typevar[k2]) && (Fixed[k1]==Fixed[k2]) && (Dummy[k1]==Dummy[k2] )){ |
| if((Typevar[k1] == 0 || Typevar[k1] == 1)){ /* Simple or age product */ |
if((Typevar[k1] == 0 || Typevar[k1] == 1)){ /* Simple or age product */ |
| if(Tvar[k1]==Tvar[k2]){ |
if(Tvar[k1]==Tvar[k2]){ |
| printf("Error duplication in the model=%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[k1],Dummy[k1]); |
printf("Error duplication in the model=1+age+%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[k1],Dummy[k1]); |
| fprintf(ficlog,"Error duplication in the model=%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[k1],Dummy[k1]); fflush(ficlog); |
fprintf(ficlog,"Error duplication in the model=1+age+%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[k1],Dummy[k1]); fflush(ficlog); |
| return(1); |
return(1); |
| } |
} |
| }else if (Typevar[k1] ==2){ |
}else if (Typevar[k1] ==2){ |
| k3=Tposprod[k1]; |
k3=Tposprod[k1]; |
| k4=Tposprod[k2]; |
k4=Tposprod[k2]; |
| if( ((Tvard[k3][1]== Tvard[k4][1])&&(Tvard[k3][2]== Tvard[k4][2])) || ((Tvard[k3][1]== Tvard[k4][2])&&(Tvard[k3][2]== Tvard[k4][1])) ){ |
if( ((Tvard[k3][1]== Tvard[k4][1])&&(Tvard[k3][2]== Tvard[k4][2])) || ((Tvard[k3][1]== Tvard[k4][2])&&(Tvard[k3][2]== Tvard[k4][1])) ){ |
| printf("Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); |
printf("Error duplication in the model=1+age+%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); |
| fprintf(ficlog,"Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog); |
fprintf(ficlog,"Error duplication in the model=1+age+%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog); |
| return(1); |
return(1); |
| } |
} |
| } |
} |
|
Line 11055 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 12258 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| fprintf(ficlog,"ncoveff=%d, nqfveff=%d, ntveff=%d, nqtveff=%d, cptcovn=%d\n",ncoveff,nqfveff,ntveff,nqtveff,cptcovn); |
fprintf(ficlog,"ncoveff=%d, nqfveff=%d, ntveff=%d, nqtveff=%d, cptcovn=%d\n",ncoveff,nqfveff,ntveff,nqtveff,cptcovn); |
| printf("ncovf=%d, ncovv=%d, ncova=%d, nsd=%d, nsq=%d\n",ncovf,ncovv,ncova,nsd,nsq); |
printf("ncovf=%d, ncovv=%d, ncova=%d, nsd=%d, nsq=%d\n",ncovf,ncovv,ncova,nsd,nsq); |
| fprintf(ficlog,"ncovf=%d, ncovv=%d, ncova=%d, nsd=%d, nsq=%d\n",ncovf,ncovv,ncova,nsd, nsq); |
fprintf(ficlog,"ncovf=%d, ncovv=%d, ncova=%d, nsd=%d, nsq=%d\n",ncovf,ncovv,ncova,nsd, nsq); |
| |
|
| |
free_imatrix(existcomb,1,NCOVMAX,1,NCOVMAX); |
| return (0); /* with covar[new additional covariate if product] and Tage if age */ |
return (0); /* with covar[new additional covariate if product] and Tage if age */ |
| /*endread:*/ |
/*endread:*/ |
| printf("Exiting decodemodel: "); |
printf("Exiting decodemodel: "); |
|
Line 11400 int prevalence_limit(double *p, double *
|
Line 12605 int prevalence_limit(double *p, double *
|
| i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */ |
i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */ |
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| for(k=1; k<=i1;k++){ /* For each combination k of dummy covariates in the model */ |
/* for(k=1; k<=i1;k++){ /\* For each combination k of dummy covariates in the model *\/ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(i1 != 1 && TKresult[nres]!= k) |
k=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
| |
/* if(i1 != 1 && TKresult[nres]!= k) /\* We found the combination k corresponding to the resultline value of dummies *\/ */ |
| |
/* continue; */ |
| |
|
| /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
| /* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ |
/* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ |
|
Line 11414 int prevalence_limit(double *p, double *
|
Line 12621 int prevalence_limit(double *p, double *
|
| fprintf(ficrespl,"#******"); |
fprintf(ficrespl,"#******"); |
| printf("#******"); |
printf("#******"); |
| fprintf(ficlog,"#******"); |
fprintf(ficlog,"#******"); |
| for(j=1;j<=cptcoveff ;j++) {/* all covariates */ |
for(j=1;j<=cptcovs ;j++) {/**< cptcovs number of SIMPLE covariates in the model or resultline V2+V1 =2 (dummy or quantit or time varying) */ |
| /* fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,Tvaraff[j])]); /\* Here problem for varying dummy*\/ */ |
/* fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,Tvaraff[j])]); /\* Here problem for varying dummy*\/ */ |
| fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); /* Here problem for varying dummy*/ |
/* printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
/* fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficrespl," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| } |
printf(" V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
fprintf(ficlog," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
} |
| fprintf(ficrespl," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| fprintf(ficlog," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| } |
/* fprintf(ficrespl," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* } */ |
| fprintf(ficrespl,"******\n"); |
fprintf(ficrespl,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
| fprintf(ficlog,"******\n"); |
fprintf(ficlog,"******\n"); |
|
Line 11436 int prevalence_limit(double *p, double *
|
Line 12645 int prevalence_limit(double *p, double *
|
| } |
} |
| |
|
| fprintf(ficrespl,"#Age "); |
fprintf(ficrespl,"#Age "); |
| for(j=1;j<=cptcoveff;j++) { |
/* for(j=1;j<=cptcoveff;j++) { */ |
| fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
/* fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| |
/* } */ |
| |
for(j=1;j<=cptcovs;j++) { /* New the quanti variable is added */ |
| |
fprintf(ficrespl,"V%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| } |
} |
| for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); |
for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); |
| fprintf(ficrespl,"Total Years_to_converge\n"); |
fprintf(ficrespl,"Total Years_to_converge\n"); |
| |
|
| for (age=agebase; age<=agelim; age++){ |
for (age=agebase; age<=agelim; age++){ |
| /* for (age=agebase; age<=agebase; age++){ */ |
/* for (age=agebase; age<=agebase; age++){ */ |
| prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k, nres); |
/**< Computes the prevalence limit in each live state at age x and for covariate combination (k and) nres */ |
| |
prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k, nres); /* Nicely done */ |
| fprintf(ficrespl,"%.0f ",age ); |
fprintf(ficrespl,"%.0f ",age ); |
| for(j=1;j<=cptcoveff;j++) |
/* for(j=1;j<=cptcoveff;j++) */ |
| fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
/* fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| |
for(j=1;j<=cptcovs;j++) |
| |
fprintf(ficrespl,"%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| tot=0.; |
tot=0.; |
| for(i=1; i<=nlstate;i++){ |
for(i=1; i<=nlstate;i++){ |
| tot += prlim[i][i]; |
tot += prlim[i][i]; |
|
Line 11456 int prevalence_limit(double *p, double *
|
Line 12671 int prevalence_limit(double *p, double *
|
| fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp); |
fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp); |
| } /* Age */ |
} /* Age */ |
| /* was end of cptcod */ |
/* was end of cptcod */ |
| } /* cptcov */ |
} /* nres */ |
| } /* nres */ |
/* } /\* for each combination *\/ */ |
| return 0; |
return 0; |
| } |
} |
| |
|
|
Line 11499 int back_prevalence_limit(double *p, dou
|
Line 12714 int back_prevalence_limit(double *p, dou
|
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ |
/* for(k=1; k<=i1;k++){ /\* For any combination of dummy covariates, fixed and varying *\/ */ |
| if(i1 != 1 && TKresult[nres]!= k) |
k=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
| /*printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));*/ |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
| |
/* continue; */ |
| |
/* /\*printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));*\/ */ |
| fprintf(ficresplb,"#******"); |
fprintf(ficresplb,"#******"); |
| printf("#******"); |
printf("#******"); |
| fprintf(ficlog,"#******"); |
fprintf(ficlog,"#******"); |
| for(j=1;j<=cptcoveff ;j++) {/* all covariates */ |
for(j=1;j<=cptcovs ;j++) {/**< cptcovs number of SIMPLE covariates in the model or resultline V2+V1 =2 (dummy or quantit or time varying) */ |
| fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
printf(" V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficresplb," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficlog," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| } |
} |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
/* for(j=1;j<=cptcoveff ;j++) {/\* all covariates *\/ */ |
| printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
/* fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| fprintf(ficresplb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
/* printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
/* fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| } |
/* } */ |
| |
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* fprintf(ficresplb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* } */ |
| fprintf(ficresplb,"******\n"); |
fprintf(ficresplb,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
| fprintf(ficlog,"******\n"); |
fprintf(ficlog,"******\n"); |
|
Line 11527 int back_prevalence_limit(double *p, dou
|
Line 12749 int back_prevalence_limit(double *p, dou
|
| } |
} |
| |
|
| fprintf(ficresplb,"#Age "); |
fprintf(ficresplb,"#Age "); |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcovs;j++) { |
| fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficresplb,"V%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| } |
} |
| for(i=1; i<=nlstate;i++) fprintf(ficresplb," %d-%d ",i,i); |
for(i=1; i<=nlstate;i++) fprintf(ficresplb," %d-%d ",i,i); |
| fprintf(ficresplb,"Total Years_to_converge\n"); |
fprintf(ficresplb,"Total Years_to_converge\n"); |
|
Line 11551 int back_prevalence_limit(double *p, dou
|
Line 12773 int back_prevalence_limit(double *p, dou
|
| /* exit(1); */ |
/* exit(1); */ |
| } |
} |
| fprintf(ficresplb,"%.0f ",age ); |
fprintf(ficresplb,"%.0f ",age ); |
| for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcovs;j++) |
| fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficresplb,"%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| tot=0.; |
tot=0.; |
| for(i=1; i<=nlstate;i++){ |
for(i=1; i<=nlstate;i++){ |
| tot += bprlim[i][i]; |
tot += bprlim[i][i]; |
|
Line 11562 int back_prevalence_limit(double *p, dou
|
Line 12784 int back_prevalence_limit(double *p, dou
|
| } /* Age */ |
} /* Age */ |
| /* was end of cptcod */ |
/* was end of cptcod */ |
| /*fprintf(ficresplb,"\n");*/ /* Seems to be necessary for gnuplot only if two result lines and no covariate. */ |
/*fprintf(ficresplb,"\n");*/ /* Seems to be necessary for gnuplot only if two result lines and no covariate. */ |
| } /* end of any combination */ |
/* } /\* end of any combination *\/ */ |
| } /* end of nres */ |
} /* end of nres */ |
| /* hBijx(p, bage, fage); */ |
/* hBijx(p, bage, fage); */ |
| /* fclose(ficrespijb); */ |
/* fclose(ficrespijb); */ |
|
Line 11572 int back_prevalence_limit(double *p, dou
|
Line 12794 int back_prevalence_limit(double *p, dou
|
| |
|
| int hPijx(double *p, int bage, int fage){ |
int hPijx(double *p, int bage, int fage){ |
| /*------------- h Pij x at various ages ------------*/ |
/*------------- h Pij x at various ages ------------*/ |
| |
/* to be optimized with precov */ |
| int stepsize; |
int stepsize; |
| int agelim; |
int agelim; |
| int hstepm; |
int hstepm; |
|
Line 11582 int hPijx(double *p, int bage, int fage)
|
Line 12804 int hPijx(double *p, int bage, int fage)
|
| double agedeb; |
double agedeb; |
| double ***p3mat; |
double ***p3mat; |
| |
|
| strcpy(filerespij,"PIJ_"); strcat(filerespij,fileresu); |
strcpy(filerespij,"PIJ_"); strcat(filerespij,fileresu); |
| if((ficrespij=fopen(filerespij,"w"))==NULL) { |
if((ficrespij=fopen(filerespij,"w"))==NULL) { |
| printf("Problem with Pij resultfile: %s\n", filerespij); return 1; |
printf("Problem with Pij resultfile: %s\n", filerespij); return 1; |
| fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij); return 1; |
fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij); return 1; |
| } |
} |
| printf("Computing pij: result on file '%s' \n", filerespij); |
printf("Computing pij: result on file '%s' \n", filerespij); |
| fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij); |
fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij); |
| |
|
| stepsize=(int) (stepm+YEARM-1)/YEARM; |
stepsize=(int) (stepm+YEARM-1)/YEARM; |
| /*if (stepm<=24) stepsize=2;*/ |
/*if (stepm<=24) stepsize=2;*/ |
| |
|
| agelim=AGESUP; |
agelim=AGESUP; |
| hstepm=stepsize*YEARM; /* Every year of age */ |
hstepm=stepsize*YEARM; /* Every year of age */ |
| hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */ |
hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */ |
| |
|
| /* hstepm=1; aff par mois*/ |
/* hstepm=1; aff par mois*/ |
| pstamp(ficrespij); |
pstamp(ficrespij); |
| fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x "); |
fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x "); |
| i1= pow(2,cptcoveff); |
i1= pow(2,cptcoveff); |
| /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
| /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
/* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
| /* k=k+1; */ |
/* k=k+1; */ |
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k=1; k<=i1;k++){ |
k=TKresult[nres]; |
| if(i1 != 1 && TKresult[nres]!= k) |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
| continue; |
/* for(k=1; k<=i1;k++){ */ |
| fprintf(ficrespij,"\n#****** "); |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
| for(j=1;j<=cptcoveff;j++) |
/* continue; */ |
| fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficrespij,"\n#****** "); |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
for(j=1;j<=cptcovs;j++){ |
| printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficrespij," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| fprintf(ficrespij," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* fprintf(ficrespij,"@wV%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| } |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| fprintf(ficrespij,"******\n"); |
/* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* fprintf(ficrespij," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */ |
} |
| nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ |
fprintf(ficrespij,"******\n"); |
| nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */ |
|
| |
for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */ |
| /* nhstepm=nhstepm*YEARM; aff par mois*/ |
nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ |
| |
nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */ |
| p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
|
| oldm=oldms;savm=savms; |
/* nhstepm=nhstepm*YEARM; aff par mois*/ |
| hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k, nres); |
|
| fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j="); |
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
oldm=oldms;savm=savms; |
| |
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k, nres); |
| |
fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j="); |
| |
for(i=1; i<=nlstate;i++) |
| |
for(j=1; j<=nlstate+ndeath;j++) |
| |
fprintf(ficrespij," %1d-%1d",i,j); |
| |
fprintf(ficrespij,"\n"); |
| |
for (h=0; h<=nhstepm; h++){ |
| |
/*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/ |
| |
fprintf(ficrespij,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); |
| for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
| for(j=1; j<=nlstate+ndeath;j++) |
for(j=1; j<=nlstate+ndeath;j++) |
| fprintf(ficrespij," %1d-%1d",i,j); |
fprintf(ficrespij," %.5f", p3mat[i][j][h]); |
| fprintf(ficrespij,"\n"); |
|
| for (h=0; h<=nhstepm; h++){ |
|
| /*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/ |
|
| fprintf(ficrespij,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); |
|
| for(i=1; i<=nlstate;i++) |
|
| for(j=1; j<=nlstate+ndeath;j++) |
|
| fprintf(ficrespij," %.5f", p3mat[i][j][h]); |
|
| fprintf(ficrespij,"\n"); |
|
| } |
|
| free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
|
| fprintf(ficrespij,"\n"); |
fprintf(ficrespij,"\n"); |
| } |
} |
| /*}*/ |
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
fprintf(ficrespij,"\n"); |
| } |
} |
| return 0; |
} |
| |
/*}*/ |
| |
return 0; |
| } |
} |
| |
|
| int hBijx(double *p, int bage, int fage, double ***prevacurrent){ |
int hBijx(double *p, int bage, int fage, double ***prevacurrent){ |
| /*------------- h Bij x at various ages ------------*/ |
/*------------- h Bij x at various ages ------------*/ |
| |
/* To be optimized with precov */ |
| int stepsize; |
int stepsize; |
| /* int agelim; */ |
/* int agelim; */ |
| int ageminl; |
int ageminl; |
|
Line 11684 int hPijx(double *p, int bage, int fage)
|
Line 12909 int hPijx(double *p, int bage, int fage)
|
| /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
/* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
| /* k=k+1; */ |
/* k=k+1; */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ |
k=TKresult[nres]; |
| if(i1 != 1 && TKresult[nres]!= k) |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
| continue; |
/* for(k=1; k<=i1;k++){ /\* For any combination of dummy covariates, fixed and varying *\/ */ |
| fprintf(ficrespijb,"\n#****** "); |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
| for(j=1;j<=cptcoveff;j++) |
/* continue; */ |
| fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficrespijb,"\n#****** "); |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
for(j=1;j<=cptcovs;j++){ |
| fprintf(ficrespijb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
fprintf(ficrespijb," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| } |
/* for(j=1;j<=cptcoveff;j++) */ |
| fprintf(ficrespijb,"******\n"); |
/* fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| if(invalidvarcomb[k]){ /* Is it necessary here? */ |
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ */ |
| fprintf(ficrespijb,"\n#Combination (%d) ignored because no cases \n",k); |
/* fprintf(ficrespijb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| continue; |
} |
| } |
fprintf(ficrespijb,"******\n"); |
| |
if(invalidvarcomb[k]){ /* Is it necessary here? */ |
| /* for (agedeb=fage; agedeb>=bage; agedeb--){ /\* If stepm=6 months *\/ */ |
fprintf(ficrespijb,"\n#Combination (%d) ignored because no cases \n",k); |
| for (agedeb=bage; agedeb<=fage; agedeb++){ /* If stepm=6 months and estepm=24 (2 years) */ |
continue; |
| /* nhstepm=(int) rint((agelim-agedeb)*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 or 28*/ |
/* 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) */ |
| /* nhstepm=nhstepm*YEARM; aff par mois*/ |
/* nhstepm=(int) rint((agelim-agedeb)*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 */ |
| p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); /* We can't have it at an upper level because of nhstepm */ |
nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 or 28*/ |
| /* and memory limitations if stepm is small */ |
|
| |
/* nhstepm=nhstepm*YEARM; aff par mois*/ |
| /* oldm=oldms;savm=savms; */ |
|
| /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */ |
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); /* We can't have it at an upper level because of nhstepm */ |
| hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k, nres);/* Bug valgrind */ |
/* and memory limitations if stepm is small */ |
| /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */ |
|
| fprintf(ficrespijb,"# Cov Agex agex-h hbijx with i,j="); |
/* oldm=oldms;savm=savms; */ |
| |
/* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */ |
| |
hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k, nres);/* Bug valgrind */ |
| |
/* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */ |
| |
fprintf(ficrespijb,"# Cov Agex agex-h hbijx with i,j="); |
| |
for(i=1; i<=nlstate;i++) |
| |
for(j=1; j<=nlstate+ndeath;j++) |
| |
fprintf(ficrespijb," %1d-%1d",i,j); |
| |
fprintf(ficrespijb,"\n"); |
| |
for (h=0; h<=nhstepm; h++){ |
| |
/*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/ |
| |
fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb - h*hstepm/YEARM*stepm ); |
| |
/* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); */ |
| for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
| for(j=1; j<=nlstate+ndeath;j++) |
for(j=1; j<=nlstate+ndeath;j++) |
| fprintf(ficrespijb," %1d-%1d",i,j); |
fprintf(ficrespijb," %.5f", p3mat[i][j][h]);/* Bug valgrind */ |
| fprintf(ficrespijb,"\n"); |
|
| for (h=0; h<=nhstepm; h++){ |
|
| /*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/ |
|
| fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb - h*hstepm/YEARM*stepm ); |
|
| /* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); */ |
|
| for(i=1; i<=nlstate;i++) |
|
| for(j=1; j<=nlstate+ndeath;j++) |
|
| fprintf(ficrespijb," %.5f", p3mat[i][j][h]);/* Bug valgrind */ |
|
| fprintf(ficrespijb,"\n"); |
|
| } |
|
| free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
|
| fprintf(ficrespijb,"\n"); |
fprintf(ficrespijb,"\n"); |
| } /* end age deb */ |
} |
| } /* end combination */ |
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
fprintf(ficrespijb,"\n"); |
| |
} /* end age deb */ |
| |
/* } /\* end combination *\/ */ |
| } /* end nres */ |
} /* end nres */ |
| return 0; |
return 0; |
| } /* hBijx */ |
} /* hBijx */ |
|
Line 11780 int main(int argc, char *argv[])
|
Line 13009 int main(int argc, char *argv[])
|
| /* double ***mobaverage; */ |
/* double ***mobaverage; */ |
| double wald; |
double wald; |
| |
|
| char line[MAXLINE]; |
char line[MAXLINE], linetmp[MAXLINE]; |
| char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE]; |
char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE]; |
| |
|
| char modeltemp[MAXLINE]; |
char modeltemp[MAXLINE]; |
|
Line 12113 int main(int argc, char *argv[])
|
Line 13342 int main(int argc, char *argv[])
|
| }else |
}else |
| break; |
break; |
| } |
} |
| if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){ |
if((num_filled=sscanf(line,"model=%[^.\n]", model)) !=EOF){ /* Every character after model but dot and return */ |
| |
if (num_filled != 1){ |
| |
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+' instead of '%s'\n",num_filled, line); |
| |
model[0]='\0'; |
| |
goto end; |
| |
}else{ |
| |
trimbtab(linetmp,line); /* Trims multiple blanks in line */ |
| |
strcpy(line, linetmp); |
| |
} |
| |
} |
| |
if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){ /* Every character after 1+age but dot and return */ |
| if (num_filled != 1){ |
if (num_filled != 1){ |
| printf("ERROR %d: Model should be at minimum 'model=1+age+' instead of '%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+' instead of '%s'\n",num_filled, line); |
fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age+' instead of '%s'\n",num_filled, line); |
|
Line 12127 int main(int argc, char *argv[])
|
Line 13367 int main(int argc, char *argv[])
|
| strcpy(model,modeltemp); |
strcpy(model,modeltemp); |
| } |
} |
| } |
} |
| /* printf(" model=1+age%s modeltemp= %s, model=%s\n",model, modeltemp, model);fflush(stdout); */ |
/* printf(" model=1+age%s modeltemp= %s, model=1+age+%s\n",model, modeltemp, model);fflush(stdout); */ |
| printf("model=1+age+%s\n",model);fflush(stdout); |
printf("model=1+age+%s\n",model);fflush(stdout); |
| fprintf(ficparo,"model=1+age+%s\n",model);fflush(stdout); |
fprintf(ficparo,"model=1+age+%s\n",model);fflush(stdout); |
| fprintf(ficres,"model=1+age+%s\n",model);fflush(stdout); |
fprintf(ficres,"model=1+age+%s\n",model);fflush(stdout); |
|
Line 12155 int main(int argc, char *argv[])
|
Line 13395 int main(int argc, char *argv[])
|
| numlinepar++; |
numlinepar++; |
| if(line[1]=='q'){ /* This #q will quit imach (the answer is q) */ |
if(line[1]=='q'){ /* This #q will quit imach (the answer is q) */ |
| z[0]=line[1]; |
z[0]=line[1]; |
| |
}else if(line[1]=='d'){ /* For debugging individual values of covariates in ficresilk */ |
| |
debugILK=1;printf("DebugILK\n"); |
| } |
} |
| /* printf("****line [1] = %c \n",line[1]); */ |
/* printf("****line [1] = %c \n",line[1]); */ |
| fputs(line, stdout); |
fputs(line, stdout); |
|
Line 12168 int main(int argc, char *argv[])
|
Line 13410 int main(int argc, char *argv[])
|
| covar=matrix(0,NCOVMAX,firstobs,lastobs); /**< used in readdata */ |
covar=matrix(0,NCOVMAX,firstobs,lastobs); /**< used in readdata */ |
| if(nqv>=1)coqvar=matrix(1,nqv,firstobs,lastobs); /**< Fixed quantitative covariate */ |
if(nqv>=1)coqvar=matrix(1,nqv,firstobs,lastobs); /**< Fixed quantitative covariate */ |
| if(nqtv>=1)cotqvar=ma3x(1,maxwav,1,nqtv,firstobs,lastobs); /**< Time varying quantitative covariate */ |
if(nqtv>=1)cotqvar=ma3x(1,maxwav,1,nqtv,firstobs,lastobs); /**< Time varying quantitative covariate */ |
| if(ntv+nqtv>=1)cotvar=ma3x(1,maxwav,1,ntv+nqtv,firstobs,lastobs); /**< Time varying covariate (dummy and quantitative)*/ |
/* if(ntv+nqtv>=1)cotvar=ma3x(1,maxwav,1,ntv+nqtv,firstobs,lastobs); /\**< Time varying covariate (dummy and quantitative)*\/ */ |
| |
if(ntv+nqtv>=1)cotvar=ma3x(1,maxwav,ncovcol+nqv+1,ncovcol+nqv+ntv+nqtv,firstobs,lastobs); /**< Might be better */ |
| cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn*/ |
cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn*/ |
| /* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5 |
/* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5 |
| v1+v2*age+v2*v3 makes cptcovn = 3 |
v1+v2*age+v2*v3 makes cptcovn = 3 |
|
Line 12411 Please run with mle=-1 to get a correct
|
Line 13654 Please run with mle=-1 to get a correct
|
| mint=matrix(1,maxwav,firstobs,lastobs); |
mint=matrix(1,maxwav,firstobs,lastobs); |
| anint=matrix(1,maxwav,firstobs,lastobs); |
anint=matrix(1,maxwav,firstobs,lastobs); |
| s=imatrix(1,maxwav+1,firstobs,lastobs); /* s[i][j] health state for wave i and individual j */ |
s=imatrix(1,maxwav+1,firstobs,lastobs); /* s[i][j] health state for wave i and individual j */ |
| printf("BUG ncovmodel=%d NCOVMAX=%d 2**ncovmodel=%f BUG\n",ncovmodel,NCOVMAX,pow(2,ncovmodel)); |
/* printf("BUG ncovmodel=%d NCOVMAX=%d 2**ncovmodel=%f BUG\n",ncovmodel,NCOVMAX,pow(2,ncovmodel)); */ |
| tab=ivector(1,NCOVMAX); |
tab=ivector(1,NCOVMAX); |
| ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */ |
ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */ |
| ncodemaxwundef=ivector(1,NCOVMAX); /* Number of code per covariate; if - 1 O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */ |
ncodemaxwundef=ivector(1,NCOVMAX); /* Number of code per covariate; if - 1 O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */ |
|
Line 12431 Please run with mle=-1 to get a correct
|
Line 13674 Please run with mle=-1 to get a correct
|
| Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */ |
Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */ |
| TvarsDind=ivector(1,NCOVMAX); /* */ |
TvarsDind=ivector(1,NCOVMAX); /* */ |
| TnsdVar=ivector(1,NCOVMAX); /* */ |
TnsdVar=ivector(1,NCOVMAX); /* */ |
| |
/* for(i=1; i<=NCOVMAX;i++) TnsdVar[i]=3; */ |
| TvarsD=ivector(1,NCOVMAX); /* */ |
TvarsD=ivector(1,NCOVMAX); /* */ |
| TvarsQind=ivector(1,NCOVMAX); /* */ |
TvarsQind=ivector(1,NCOVMAX); /* */ |
| TvarsQ=ivector(1,NCOVMAX); /* */ |
TvarsQ=ivector(1,NCOVMAX); /* */ |
|
Line 12448 Please run with mle=-1 to get a correct
|
Line 13692 Please run with mle=-1 to get a correct
|
| TvarVDind=ivector(1,NCOVMAX); /* */ |
TvarVDind=ivector(1,NCOVMAX); /* */ |
| TvarVQ=ivector(1,NCOVMAX); /* */ |
TvarVQ=ivector(1,NCOVMAX); /* */ |
| TvarVQind=ivector(1,NCOVMAX); /* */ |
TvarVQind=ivector(1,NCOVMAX); /* */ |
| |
TvarVV=ivector(1,NCOVMAX); /* */ |
| |
TvarVVind=ivector(1,NCOVMAX); /* */ |
| |
TvarVVA=ivector(1,NCOVMAX); /* */ |
| |
TvarVVAind=ivector(1,NCOVMAX); /* */ |
| |
TvarAVVA=ivector(1,NCOVMAX); /* */ |
| |
TvarAVVAind=ivector(1,NCOVMAX); /* */ |
| |
|
| Tvalsel=vector(1,NCOVMAX); /* */ |
Tvalsel=vector(1,NCOVMAX); /* */ |
| Tvarsel=ivector(1,NCOVMAX); /* */ |
Tvarsel=ivector(1,NCOVMAX); /* */ |
| Typevar=ivector(-1,NCOVMAX); /* -1 to 2 */ |
Typevar=ivector(-1,NCOVMAX); /* -1 to 2 */ |
| Fixed=ivector(-1,NCOVMAX); /* -1 to 3 */ |
Fixed=ivector(-1,NCOVMAX); /* -1 to 3 */ |
| Dummy=ivector(-1,NCOVMAX); /* -1 to 3 */ |
Dummy=ivector(-1,NCOVMAX); /* -1 to 3 */ |
| |
DummyV=ivector(-1,NCOVMAX); /* 1 to 3 */ |
| |
FixedV=ivector(-1,NCOVMAX); /* 1 to 3 */ |
| |
|
| /* V2+V1+V4+age*V3 is a model with 4 covariates (3 plus signs). |
/* V2+V1+V4+age*V3 is a model with 4 covariates (3 plus signs). |
| For each model-covariate stores the data-covariate id. Tvar[1]=2, Tvar[2]=1, Tvar[3]=4, |
For each model-covariate stores the data-covariate id. Tvar[1]=2, Tvar[2]=1, Tvar[3]=4, |
| Tvar[4=age*V3] is 3 and 'age' is recorded in Tage. |
Tvar[4=age*V3] is 3 and 'age' is recorded in Tage. |
|
Line 12473 Please run with mle=-1 to get a correct
|
Line 13726 Please run with mle=-1 to get a correct
|
| Tvard=imatrix(1,NCOVMAX,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm |
Tvard=imatrix(1,NCOVMAX,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm |
| * For V3*V2 (in V2+V1+V1*V4+age*V3+V3*V2), V3*V2 position is 2nd. |
* For V3*V2 (in V2+V1+V1*V4+age*V3+V3*V2), V3*V2 position is 2nd. |
| * Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */ |
* Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */ |
| Tvardk=imatrix(1,NCOVMAX,1,2); |
Tvardk=imatrix(0,NCOVMAX,1,2); |
| Tage=ivector(1,NCOVMAX); /* Gives the covariate id of covariates associated with age: V2 + V1 + age*V4 + V3*age |
Tage=ivector(1,NCOVMAX); /* Gives the covariate id of covariates associated with age: V2 + V1 + age*V4 + V3*age |
| 4 covariates (3 plus signs) |
4 covariates (3 plus signs) |
| Tage[1=V3*age]= 4; Tage[2=age*V4] = 3 |
Tage[1=V3*age]= 4; Tage[2=age*V4] = 3 |
|
Line 12493 Please run with mle=-1 to get a correct
|
Line 13746 Please run with mle=-1 to get a correct
|
| * Tmodelqind[1]=1,Tvaraff[1]@9={4, |
* Tmodelqind[1]=1,Tvaraff[1]@9={4, |
| * 3, 1, 0, 0, 0, 0, 0, 0}, |
* 3, 1, 0, 0, 0, 0, 0, 0}, |
| * model=V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1*/ |
* model=V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1*/ |
| |
|
| |
/* Probably useless zeroes */ |
| |
for(i=1;i<NCOVMAX;i++){ |
| |
DummyV[i]=0; |
| |
FixedV[i]=0; |
| |
} |
| |
|
| |
for(i=1; i <=ncovcol;i++){ |
| |
DummyV[i]=0; |
| |
FixedV[i]=0; |
| |
} |
| |
for(i=ncovcol+1; i <=ncovcol+nqv;i++){ |
| |
DummyV[i]=1; |
| |
FixedV[i]=0; |
| |
} |
| |
for(i=ncovcol+nqv+1; i <=ncovcol+nqv+ntv;i++){ |
| |
DummyV[i]=0; |
| |
FixedV[i]=1; |
| |
} |
| |
for(i=ncovcol+nqv+ntv+1; i <=ncovcol+nqv+ntv+nqtv;i++){ |
| |
DummyV[i]=1; |
| |
FixedV[i]=1; |
| |
} |
| |
for(i=1; i <=ncovcol+nqv+ntv+nqtv;i++){ |
| |
printf("Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",i,i,DummyV[i],i,FixedV[i]); |
| |
fprintf(ficlog,"Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",i,i,DummyV[i],i,FixedV[i]); |
| |
} |
| |
|
| |
|
| |
|
| /* Main decodemodel */ |
/* Main decodemodel */ |
| |
|
| |
|
|
Line 12553 Please run with mle=-1 to get a correct
|
Line 13836 Please run with mle=-1 to get a correct
|
| Ndum =ivector(-1,NCOVMAX); |
Ndum =ivector(-1,NCOVMAX); |
| cptcoveff=0; |
cptcoveff=0; |
| if (ncovmodel-nagesqr > 2 ){ /* That is if covariate other than cst, age and age*age */ |
if (ncovmodel-nagesqr > 2 ){ /* That is if covariate other than cst, age and age*age */ |
| tricode(&cptcoveff,Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */ |
tricode(&cptcoveff,Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; as well as calculate cptcoveff or number of total effective dummy covariates*/ |
| } |
} |
| |
|
| ncovcombmax=pow(2,cptcoveff); |
ncovcombmax=pow(2,cptcoveff); |
| invalidvarcomb=ivector(1, ncovcombmax); |
invalidvarcomb=ivector(0, ncovcombmax); |
| for(i=1;i<ncovcombmax;i++) |
for(i=0;i<ncovcombmax;i++) |
| invalidvarcomb[i]=0; |
invalidvarcomb[i]=0; |
| |
|
| /* Nbcode gives the value of the lth modality (currently 1 to 2) of jth covariate, in |
/* Nbcode gives the value of the lth modality (currently 1 to 2) of jth covariate, in |
|
Line 12692 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 13975 Title=%s <br>Datafile=%s Firstpass=%d La
|
| optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
| } |
} |
| |
|
| fprintf(fichtm,"<html><head>\n<head>\n<meta charset=\"utf-8\"/><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<title>IMaCh %s</title></head>\n <body><font size=\"7\"><a href=http:/euroreves.ined.fr/imach>IMaCh for Interpolated Markov Chain</a> </font><br>\n<font size=\"3\">Sponsored by Copyright (C) 2002-2015 <a href=http://www.ined.fr>INED</a>-EUROREVES-Institut de longévité-2013-2022-Japan Society for the Promotion of Sciences 日本学術振興会 (<a href=https://www.jsps.go.jp/english/e-grants/>Grant-in-Aid for Scientific Research 25293121</a>) - <a href=https://software.intel.com/en-us>Intel Software 2015-2018</a></font><br> \ |
fprintf(fichtm,"<html><head>\n<meta charset=\"utf-8\"/><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n\ |
| <hr size=\"2\" color=\"#EC5E5E\"> \n\ |
<title>IMaCh %s</title></head>\n\ |
| |
<body><font size=\"7\"><a href=http:/euroreves.ined.fr/imach>IMaCh for Interpolated Markov Chain</a> </font><br>\n\ |
| |
<font size=\"3\">Sponsored by Copyright (C) 2002-2015 <a href=http://www.ined.fr>INED</a>\ |
| |
-EUROREVES-Institut de longévité-2013-2022-Japan Society for the Promotion of Sciences 日本学術振興会 \ |
| |
(<a href=https://www.jsps.go.jp/english/e-grants/>Grant-in-Aid for Scientific Research 25293121</a>) - \ |
| |
<a href=https://software.intel.com/en-us>Intel Software 2015-2018</a></font><br> \n", optionfilehtm); |
| |
|
| |
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
| <font size=\"2\">IMaCh-%s <br> %s</font> \ |
<font size=\"2\">IMaCh-%s <br> %s</font> \ |
| <hr size=\"2\" color=\"#EC5E5E\"> \n\ |
<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
| Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n\ |
This file: <a href=\"%s\">%s</a></br>Title=%s <br>Datafile=<a href=\"%s\">%s</a> Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n\ |
| \n\ |
\n\ |
| <hr size=\"2\" color=\"#EC5E5E\">\ |
<hr size=\"2\" color=\"#EC5E5E\">\ |
| <ul><li><h4>Parameter files</h4>\n\ |
<ul><li><h4>Parameter files</h4>\n\ |
|
Line 12705 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 13995 Title=%s <br>Datafile=%s Firstpass=%d La
|
| - Log file of the run: <a href=\"%s\">%s</a><br>\n\ |
- Log file of the run: <a href=\"%s\">%s</a><br>\n\ |
| - Gnuplot file name: <a href=\"%s\">%s</a><br>\n\ |
- Gnuplot file name: <a href=\"%s\">%s</a><br>\n\ |
| - Date and time at start: %s</ul>\n",\ |
- Date and time at start: %s</ul>\n",\ |
| optionfilehtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model,\ |
version,fullversion,optionfilehtm,optionfilehtm,title,datafile,datafile,firstpass,lastpass,stepm, weightopt, model, \ |
| optionfilefiname,optionfilext,optionfilefiname,optionfilext,\ |
optionfilefiname,optionfilext,optionfilefiname,optionfilext,\ |
| fileres,fileres,\ |
fileres,fileres,\ |
| filelog,filelog,optionfilegnuplot,optionfilegnuplot,strstart); |
filelog,filelog,optionfilegnuplot,optionfilegnuplot,strstart); |
|
Line 13019 Please run with mle=-1 to get a correct
|
Line 14309 Please run with mle=-1 to get a correct
|
| globpr=1; /* again, to print the individual contributions using computed gpimx and gsw */ |
globpr=1; /* again, to print the individual contributions using computed gpimx and gsw */ |
| likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */ |
likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */ |
| printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw); |
printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw); |
| |
/* exit(0); */ |
| for (k=1; k<=npar;k++) |
for (k=1; k<=npar;k++) |
| printf(" %d %8.5f",k,p[k]); |
printf(" %d %8.5f",k,p[k]); |
| printf("\n"); |
printf("\n"); |
|
Line 13061 Please run with mle=-1 to get a correct
|
Line 14352 Please run with mle=-1 to get a correct
|
| fprintf(ficres," + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
fprintf(ficres," + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| fprintf(ficlog," + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
fprintf(ficlog," + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| fprintf(fichtm, "<th>+ V%d*V%d</th>",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
fprintf(fichtm, "<th>+ V%d*V%d</th>",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| |
}else if(Typevar[j]==3) { /* TO VERIFY */ |
| |
printf(" + V%d*V%d*age ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| |
fprintf(ficres," + V%d*V%d*age ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| |
fprintf(ficlog," + V%d*V%d*age ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| |
fprintf(fichtm, "<th>+ V%d*V%d*age</th>",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| } |
} |
| } |
} |
| printf("\n"); |
printf("\n"); |
|
Line 13120 Please run with mle=-1 to get a correct
|
Line 14416 Please run with mle=-1 to get a correct
|
| fprintf(fichtm, "<th>+ V%d*age</th>",Tvar[j]); |
fprintf(fichtm, "<th>+ V%d*age</th>",Tvar[j]); |
| }else if(Typevar[j]==2) { |
}else if(Typevar[j]==2) { |
| fprintf(fichtm, "<th>+ V%d*V%d</th>",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
fprintf(fichtm, "<th>+ V%d*V%d</th>",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| |
}else if(Typevar[j]==3) { /* TO VERIFY */ |
| |
fprintf(fichtm, "<th>+ V%d*V%d*age</th>",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| } |
} |
| } |
} |
| fprintf(fichtm, "</tr>\n"); |
fprintf(fichtm, "</tr>\n"); |
|
Line 13177 Please run with mle=-1 to get a correct
|
Line 14475 Please run with mle=-1 to get a correct
|
| } |
} |
| |
|
| fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n"); |
fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n"); |
| if(mle >= 1) /* To big for the screen */ |
if(mle >= 1) /* Too big for the screen */ |
| printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n"); |
printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n"); |
| fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n"); |
fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n"); |
| /* # 121 Var(a12)\n\ */ |
/* # 121 Var(a12)\n\ */ |
|
Line 13441 Please run with mle=-1 to get a correct
|
Line 14739 Please run with mle=-1 to get a correct
|
| case 13: |
case 13: |
| num_filled=sscanf(line,"result:%[^\n]\n",resultlineori); |
num_filled=sscanf(line,"result:%[^\n]\n",resultlineori); |
| nresult++; /* Sum of resultlines */ |
nresult++; /* Sum of resultlines */ |
| printf("Result %d: result:%s\n",nresult, resultlineori); |
/* printf("Result %d: result:%s\n",nresult, resultlineori); */ |
| /* removefirstspace(&resultlineori); */ |
/* removefirstspace(&resultlineori); */ |
| |
|
| if(strstr(resultlineori,"v") !=0){ |
if(strstr(resultlineori,"v") !=0){ |
|
Line 13450 Please run with mle=-1 to get a correct
|
Line 14748 Please run with mle=-1 to get a correct
|
| return 1; |
return 1; |
| } |
} |
| trimbb(resultline, resultlineori); /* Suppressing double blank in the resultline */ |
trimbb(resultline, resultlineori); /* Suppressing double blank in the resultline */ |
| printf("Decoderesult resultline=\"%s\" resultlineori=\"%s\"\n", resultline, resultlineori); |
/* printf("Decoderesult resultline=\"%s\" resultlineori=\"%s\"\n", resultline, resultlineori); */ |
| if(nresult > MAXRESULTLINESPONE-1){ |
if(nresult > MAXRESULTLINESPONE-1){ |
| 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. ",MAXRESULTLINESPONE-1,nresult,rfileres); |
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. ",MAXRESULTLINESPONE-1,nresult,rfileres); |
| 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. ",MAXRESULTLINESPONE-1,nresult,rfileres); |
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. ",MAXRESULTLINESPONE-1,nresult,rfileres); |
|
Line 13533 Please run with mle=-1 to get a correct
|
Line 14831 Please run with mle=-1 to get a correct
|
| date2dmy(datebackf,&jbackf, &mbackf, &anbackf); |
date2dmy(datebackf,&jbackf, &mbackf, &anbackf); |
| } |
} |
| |
|
| printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,bage, fage, prevfcast, prevbcast, pathc,p, (int)anprojd-bage, (int)anbackd-fage); |
printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,bage, fage, prevfcast, prevbcast, pathc,p, (int)anprojd-bage, (int)anbackd-fage);/* HERE valgrind Tvard*/ |
| } |
} |
| 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,prevbcast, estepm, \ |
model,imx,jmin,jmax,jmean,rfileres,popforecast,mobilav,prevfcast,mobilavproj,prevbcast, estepm, \ |
|
Line 13683 Please run with mle=-1 to get a correct
|
Line 14981 Please run with mle=-1 to get a correct
|
| |
|
| pstamp(ficreseij); |
pstamp(ficreseij); |
| |
|
| i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */ |
/* i1=pow(2,cptcoveff); /\* Number of combination of dummy covariates *\/ */ |
| if (cptcovn < 1){i1=1;} |
/* if (cptcovn < 1){i1=1;} */ |
| |
|
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ |
/* for(k=1; k<=i1;k++){ /\* For any combination of dummy covariates, fixed and varying *\/ */ |
| if(i1 != 1 && TKresult[nres]!= k) |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
| continue; |
/* continue; */ |
| fprintf(ficreseij,"\n#****** "); |
fprintf(ficreseij,"\n#****** "); |
| printf("\n#****** "); |
printf("\n#****** "); |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcovs;j++){ |
| fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
/* for(j=1;j<=cptcoveff;j++) { */ |
| printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
/* fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| |
fprintf(ficreseij," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| |
printf(" V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| |
/* printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| } |
} |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
| printf(" V%d=%f ",TvarsQ[j], TinvDoQresult[nres][TvarsQ[j]]); /* TvarsQ[j] gives the name of the jth quantitative (fixed or time v) */ |
printf(" V%d=%lg ",TvarsQ[j], TinvDoQresult[nres][TvarsQ[j]]); /* TvarsQ[j] gives the name of the jth quantitative (fixed or time v) */ |
| fprintf(ficreseij,"V%d=%f ",TvarsQ[j], TinvDoQresult[nres][TvarsQ[j]]); |
fprintf(ficreseij,"V%d=%lg ",TvarsQ[j], TinvDoQresult[nres][TvarsQ[j]]); |
| } |
} |
| fprintf(ficreseij,"******\n"); |
fprintf(ficreseij,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
|
Line 13716 Please run with mle=-1 to get a correct
|
Line 15017 Please run with mle=-1 to get a correct
|
| |
|
| |
|
| /*---------- State-specific expectancies and variances ------------*/ |
/*---------- State-specific expectancies and variances ------------*/ |
| |
/* Should be moved in a function */ |
| strcpy(filerest,"T_"); |
strcpy(filerest,"T_"); |
| strcat(filerest,fileresu); |
strcat(filerest,fileresu); |
| if((ficrest=fopen(filerest,"w"))==NULL) { |
if((ficrest=fopen(filerest,"w"))==NULL) { |
|
Line 13763 Please run with mle=-1 to get a correct
|
Line 15064 Please run with mle=-1 to get a correct
|
| /* */ |
/* */ |
| if(i1 != 1 && TKresult[nres]!= k) /* TKresult[nres] is the combination of this nres resultline. All the i1 combinations are not output */ |
if(i1 != 1 && TKresult[nres]!= k) /* TKresult[nres] is the combination of this nres resultline. All the i1 combinations are not output */ |
| continue; |
continue; |
| printf("\n# model %s \n#****** Result for:", model); |
printf("\n# model %s \n#****** Result for:", model); /* HERE model is empty */ |
| fprintf(ficrest,"\n# model %s \n#****** Result for:", model); |
fprintf(ficrest,"\n# model %s \n#****** Result for:", model); |
| fprintf(ficlog,"\n# model %s \n#****** Result for:", model); |
fprintf(ficlog,"\n# model %s \n#****** Result for:", model); |
| /* It might not be a good idea to mix dummies and quantitative */ |
/* It might not be a good idea to mix dummies and quantitative */ |
|
Line 13787 Please run with mle=-1 to get a correct
|
Line 15088 Please run with mle=-1 to get a correct
|
| /* Tvresult[nres][j] Name of the variable at position j in this resultline */ |
/* Tvresult[nres][j] Name of the variable at position j in this resultline */ |
| /* Tresult[nres][j] Value of this variable at position j could be a float if quantitative */ |
/* Tresult[nres][j] Value of this variable at position j could be a float if quantitative */ |
| /* We give up with the combinations!! */ |
/* We give up with the combinations!! */ |
| printf("\n j=%d In computing T_ Dummy[modelresult[%d][%d]]=%d, modelresult[%d][%d]=%d cptcovs=%d, cptcoveff=%d Fixed[modelresult[nres][j]]=%d\n", j, nres, j, Dummy[modelresult[nres][j]],nres,j,modelresult[nres][j],cptcovs, cptcoveff,Fixed[modelresult[nres][j]]); /* end if dummy or quanti */ |
/* if(debugILK) */ |
| |
/* printf("\n j=%d In computing T_ Dummy[modelresult[%d][%d]]=%d, modelresult[%d][%d]=%d cptcovs=%d, cptcoveff=%d Fixed[modelresult[nres][j]]=%d\n", j, nres, j, Dummy[modelresult[nres][j]],nres,j,modelresult[nres][j],cptcovs, cptcoveff,Fixed[modelresult[nres][j]]); /\* end if dummy or quanti *\/ */ |
| |
|
| if(Dummy[modelresult[nres][j]]==0){/* Dummy variable of the variable in position modelresult in the model corresponding to j in resultline */ |
if(Dummy[modelresult[nres][j]]==0){/* Dummy variable of the variable in position modelresult in the model corresponding to j in resultline */ |
| printf("V%d=%d ",Tvresult[nres][j],Tresult[nres][j]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
/* printf("V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][j]); /\* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline *\/ */ /* TinvDoQresult[nres][Name of the variable] */ |
| fprintf(ficlog,"V%d=%d ",Tvresult[nres][j],Tresult[nres][j]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
printf("V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); /* Output of each value for the combination TKresult[nres], ordered by the covariate values in the resultline */ |
| fprintf(ficrest,"V%d=%d ",Tvresult[nres][j],Tresult[nres][j]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
fprintf(ficlog,"V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
| |
fprintf(ficrest,"V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
| if(Fixed[modelresult[nres][j]]==0){ /* Fixed */ |
if(Fixed[modelresult[nres][j]]==0){ /* Fixed */ |
| printf("fixed ");fprintf(ficlog,"fixed ");fprintf(ficrest,"fixed "); |
printf("fixed ");fprintf(ficlog,"fixed ");fprintf(ficrest,"fixed "); |
| }else{ |
}else{ |
|
Line 13802 Please run with mle=-1 to get a correct
|
Line 15105 Please run with mle=-1 to get a correct
|
| /* fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
/* fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| }else if(Dummy[modelresult[nres][j]]==1){ /* Quanti variable */ |
}else if(Dummy[modelresult[nres][j]]==1){ /* Quanti variable */ |
| /* For each selected (single) quantitative value */ |
/* For each selected (single) quantitative value */ |
| printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
printf(" V%d=%lg ",Tvqresult[nres][j],Tqresult[nres][j]); |
| |
fprintf(ficlog," V%d=%lg ",Tvqresult[nres][j],Tqresult[nres][j]); |
| |
fprintf(ficrest," V%d=%lg ",Tvqresult[nres][j],Tqresult[nres][j]); |
| if(Fixed[modelresult[nres][j]]==0){ /* Fixed */ |
if(Fixed[modelresult[nres][j]]==0){ /* Fixed */ |
| printf("fixed ");fprintf(ficlog,"fixed ");fprintf(ficrest,"fixed "); |
printf("fixed ");fprintf(ficlog,"fixed ");fprintf(ficrest,"fixed "); |
| }else{ |
}else{ |
|
Line 13813 Please run with mle=-1 to get a correct
|
Line 15118 Please run with mle=-1 to get a correct
|
| fprintf(ficlog,"Error in computing T_ Dummy[modelresult[%d][%d]]=%d, modelresult[%d][%d]=%d cptcovs=%d, cptcoveff=%d \n", nres, j, Dummy[modelresult[nres][j]],nres,j,modelresult[nres][j],cptcovs, cptcoveff); /* end if dummy or quanti */ |
fprintf(ficlog,"Error in computing T_ Dummy[modelresult[%d][%d]]=%d, modelresult[%d][%d]=%d cptcovs=%d, cptcoveff=%d \n", nres, j, Dummy[modelresult[nres][j]],nres,j,modelresult[nres][j],cptcovs, cptcoveff); /* end if dummy or quanti */ |
| exit(1); |
exit(1); |
| } |
} |
| } |
} /* End loop for each variable in the resultline */ |
| /* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ */ |
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ */ |
| /* printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); /\* Wrong j is not in the equation model *\/ */ |
/* printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); /\* Wrong j is not in the equation model *\/ */ |
| /* fprintf(ficrest," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
/* fprintf(ficrest," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
|
Line 13825 Please run with mle=-1 to get a correct
|
Line 15130 Please run with mle=-1 to get a correct
|
| |
|
| fprintf(ficresstdeij,"\n#****** "); |
fprintf(ficresstdeij,"\n#****** "); |
| fprintf(ficrescveij,"\n#****** "); |
fprintf(ficrescveij,"\n#****** "); |
| |
/* It could have been: for(j=1;j<=cptcoveff;j++) {printf("V=%d=%lg",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]);} */ |
| |
/* But it won't be sorted and depends on how the resultline is ordered */ |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficresstdeij,"V%d=%d ",Tvresult[nres][j],Tresult[nres][j]); |
fprintf(ficresstdeij,"V%d=%d ",Tvresult[nres][j],Tresult[nres][j]); |
| /* fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
/* fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| /* fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
/* fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| } |
} |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value, TvarsQind gives the position of a quantitative in model equation */ |
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value, TvarsQind gives the position of a quantitative in model equation */ |
| fprintf(ficresstdeij," V%d=%f ",Tvar[TvarsQind[j]],Tqresult[nres][resultmodel[nres][TvarsQind[j]]]); |
fprintf(ficresstdeij," V%d=%lg ",Tvar[TvarsQind[j]],Tqresult[nres][resultmodel[nres][TvarsQind[j]]]); |
| fprintf(ficrescveij," V%d=%f ",Tvar[TvarsQind[j]],Tqresult[nres][resultmodel[nres][TvarsQind[j]]]); |
fprintf(ficrescveij," V%d=%lg ",Tvar[TvarsQind[j]],Tqresult[nres][resultmodel[nres][TvarsQind[j]]]); |
| } |
} |
| fprintf(ficresstdeij,"******\n"); |
fprintf(ficresstdeij,"******\n"); |
| fprintf(ficrescveij,"******\n"); |
fprintf(ficrescveij,"******\n"); |
|
Line 13840 Please run with mle=-1 to get a correct
|
Line 15147 Please run with mle=-1 to get a correct
|
| fprintf(ficresvij,"\n#****** "); |
fprintf(ficresvij,"\n#****** "); |
| /* pstamp(ficresvij); */ |
/* pstamp(ficresvij); */ |
| for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[TnsdVar[Tvaraff[j]]])]); |
fprintf(ficresvij,"V%d=%d ",Tvresult[nres][j],Tresult[nres][j]); |
| |
/* fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[TnsdVar[Tvaraff[j]]])]); */ |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
| /* fprintf(ficresvij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); /\* To solve *\/ */ |
/* fprintf(ficresvij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); /\* To solve *\/ */ |
| fprintf(ficresvij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); /* Solved */ |
fprintf(ficresvij," V%d=%lg ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); /* Solved */ |
| } |
} |
| fprintf(ficresvij,"******\n"); |
fprintf(ficresvij,"******\n"); |
| |
|
|
Line 13874 Please run with mle=-1 to get a correct
|
Line 15182 Please run with mle=-1 to get a correct
|
| fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav); |
fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav); |
| else |
else |
| fprintf(ficrest,"the age specific forward period (stable) prevalences in each health state \n"); |
fprintf(ficrest,"the age specific forward period (stable) prevalences in each health state \n"); |
| fprintf(ficrest,"# Age popbased mobilav e.. (std) "); |
fprintf(ficrest,"# Age popbased mobilav e.. (std) "); /* Adding covariate values? */ |
| for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i); |
for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i); |
| fprintf(ficrest,"\n"); |
fprintf(ficrest,"\n"); |
| /* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */ |
/* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */ |
|
Line 13921 Please run with mle=-1 to get a correct
|
Line 15229 Please run with mle=-1 to get a correct
|
| printf("done selection\n");fflush(stdout); |
printf("done selection\n");fflush(stdout); |
| fprintf(ficlog,"done selection\n");fflush(ficlog); |
fprintf(ficlog,"done selection\n");fflush(ficlog); |
| |
|
| } /* End k selection */ |
} /* End k selection or end covariate selection for nres */ |
| |
|
| printf("done State-specific expectancies\n");fflush(stdout); |
printf("done State-specific expectancies\n");fflush(stdout); |
| fprintf(ficlog,"done State-specific expectancies\n");fflush(ficlog); |
fprintf(ficlog,"done State-specific expectancies\n");fflush(ficlog); |
| |
|
| /* variance-covariance of forward period prevalence*/ |
/* variance-covariance of forward period prevalence */ |
| varprlim(fileresu, nresult, mobaverage, mobilavproj, bage, fage, prlim, &ncvyear, ftolpl, p, matcov, delti, stepm, cptcoveff); |
varprlim(fileresu, nresult, mobaverage, mobilavproj, bage, fage, prlim, &ncvyear, ftolpl, p, matcov, delti, stepm, cptcoveff); |
| |
|
| |
|
| free_vector(weight,firstobs,lastobs); |
free_vector(weight,firstobs,lastobs); |
| free_imatrix(Tvardk,1,NCOVMAX,1,2); |
free_imatrix(Tvardk,0,NCOVMAX,1,2); |
| free_imatrix(Tvard,1,NCOVMAX,1,2); |
free_imatrix(Tvard,1,NCOVMAX,1,2); |
| free_imatrix(s,1,maxwav+1,firstobs,lastobs); |
free_imatrix(s,1,maxwav+1,firstobs,lastobs); |
| free_matrix(anint,1,maxwav,firstobs,lastobs); |
free_matrix(anint,1,maxwav,firstobs,lastobs); |
|
Line 13956 Please run with mle=-1 to get a correct
|
Line 15264 Please run with mle=-1 to get a correct
|
| free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath); |
| free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath); |
| free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath); |
| if(ntv+nqtv>=1)free_ma3x(cotvar,1,maxwav,1,ntv+nqtv,firstobs,lastobs); |
/* if(ntv+nqtv>=1)free_ma3x(cotvar,1,maxwav,1,ntv+nqtv,firstobs,lastobs); */ |
| |
if(ntv+nqtv>=1)free_ma3x(cotvar,1,maxwav,ncovcol+nqv+1,ncovcol+nqv+ntv+nqtv,firstobs,lastobs); |
| if(nqtv>=1)free_ma3x(cotqvar,1,maxwav,1,nqtv,firstobs,lastobs); |
if(nqtv>=1)free_ma3x(cotqvar,1,maxwav,1,nqtv,firstobs,lastobs); |
| if(nqv>=1)free_matrix(coqvar,1,nqv,firstobs,lastobs); |
if(nqv>=1)free_matrix(coqvar,1,nqv,firstobs,lastobs); |
| free_matrix(covar,0,NCOVMAX,firstobs,lastobs); |
free_matrix(covar,0,NCOVMAX,firstobs,lastobs); |
|
Line 13972 Please run with mle=-1 to get a correct
|
Line 15281 Please run with mle=-1 to get a correct
|
| free_ivector(ncodemaxwundef,1,NCOVMAX); |
free_ivector(ncodemaxwundef,1,NCOVMAX); |
| free_ivector(Dummy,-1,NCOVMAX); |
free_ivector(Dummy,-1,NCOVMAX); |
| free_ivector(Fixed,-1,NCOVMAX); |
free_ivector(Fixed,-1,NCOVMAX); |
| free_ivector(DummyV,1,NCOVMAX); |
free_ivector(DummyV,-1,NCOVMAX); |
| free_ivector(FixedV,1,NCOVMAX); |
free_ivector(FixedV,-1,NCOVMAX); |
| free_ivector(Typevar,-1,NCOVMAX); |
free_ivector(Typevar,-1,NCOVMAX); |
| free_ivector(Tvar,1,NCOVMAX); |
free_ivector(Tvar,1,NCOVMAX); |
| free_ivector(TvarsQ,1,NCOVMAX); |
free_ivector(TvarsQ,1,NCOVMAX); |
|
Line 13995 Please run with mle=-1 to get a correct
|
Line 15304 Please run with mle=-1 to get a correct
|
| free_ivector(TvarVDind,1,NCOVMAX); |
free_ivector(TvarVDind,1,NCOVMAX); |
| free_ivector(TvarVQ,1,NCOVMAX); |
free_ivector(TvarVQ,1,NCOVMAX); |
| free_ivector(TvarVQind,1,NCOVMAX); |
free_ivector(TvarVQind,1,NCOVMAX); |
| |
free_ivector(TvarAVVA,1,NCOVMAX); |
| |
free_ivector(TvarAVVAind,1,NCOVMAX); |
| |
free_ivector(TvarVVA,1,NCOVMAX); |
| |
free_ivector(TvarVVAind,1,NCOVMAX); |
| |
free_ivector(TvarVV,1,NCOVMAX); |
| |
free_ivector(TvarVVind,1,NCOVMAX); |
| |
|
| free_ivector(Tvarsel,1,NCOVMAX); |
free_ivector(Tvarsel,1,NCOVMAX); |
| free_vector(Tvalsel,1,NCOVMAX); |
free_vector(Tvalsel,1,NCOVMAX); |
| free_ivector(Tposprod,1,NCOVMAX); |
free_ivector(Tposprod,1,NCOVMAX); |
| free_ivector(Tprod,1,NCOVMAX); |
free_ivector(Tprod,1,NCOVMAX); |
| free_ivector(Tvaraff,1,NCOVMAX); |
free_ivector(Tvaraff,1,NCOVMAX); |
| free_ivector(invalidvarcomb,1,ncovcombmax); |
free_ivector(invalidvarcomb,0,ncovcombmax); |
| free_ivector(Tage,1,NCOVMAX); |
free_ivector(Tage,1,NCOVMAX); |
| free_ivector(Tmodelind,1,NCOVMAX); |
free_ivector(Tmodelind,1,NCOVMAX); |
| free_ivector(TmodelInvind,1,NCOVMAX); |
free_ivector(TmodelInvind,1,NCOVMAX); |
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