version 1.321, 2022/07/22 12:04:24
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version 1.333, 2022/08/21 09:10:30
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/* $Id$ |
/* $Id$ |
$State$ |
$State$ |
$Log$ |
$Log$ |
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Revision 1.333 2022/08/21 09:10:30 brouard |
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* src/imach.c (Module): Version 0.99r33 A lot of changes in |
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reassigning covariates: my first idea was that people will always |
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use the first covariate V1 into the model but in fact they are |
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producing data with many covariates and can use an equation model |
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with some of the covariate; it means that in a model V2+V3 instead |
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of codtabm(k,Tvaraff[j]) which calculates for combination k, for |
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three covariates (V1, V2, V3) the value of Tvaraff[j], but in fact |
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the equation model is restricted to two variables only (V2, V3) |
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and the combination for V2 should be codtabm(k,1) instead of |
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(codtabm(k,2), and the code should be |
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codtabm(k,TnsdVar[Tvaraff[j]]. Many many changes have been |
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made. All of these should be simplified once a day like we did in |
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hpxij() for example by using precov[nres] which is computed in |
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decoderesult for each nres of each resultline. Loop should be done |
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on the equation model globally by distinguishing only product with |
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age (which are changing with age) and no more on type of |
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covariates, single dummies, single covariates. |
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Revision 1.332 2022/08/21 09:06:25 brouard |
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Summary: Version 0.99r33 |
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* src/imach.c (Module): Version 0.99r33 A lot of changes in |
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reassigning covariates: my first idea was that people will always |
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use the first covariate V1 into the model but in fact they are |
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producing data with many covariates and can use an equation model |
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with some of the covariate; it means that in a model V2+V3 instead |
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of codtabm(k,Tvaraff[j]) which calculates for combination k, for |
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three covariates (V1, V2, V3) the value of Tvaraff[j], but in fact |
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the equation model is restricted to two variables only (V2, V3) |
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and the combination for V2 should be codtabm(k,1) instead of |
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(codtabm(k,2), and the code should be |
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codtabm(k,TnsdVar[Tvaraff[j]]. Many many changes have been |
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made. All of these should be simplified once a day like we did in |
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hpxij() for example by using precov[nres] which is computed in |
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decoderesult for each nres of each resultline. Loop should be done |
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on the equation model globally by distinguishing only product with |
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age (which are changing with age) and no more on type of |
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covariates, single dummies, single covariates. |
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Revision 1.331 2022/08/07 05:40:09 brouard |
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*** empty log message *** |
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Revision 1.330 2022/08/06 07:18:25 brouard |
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Summary: last 0.99r31 |
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* imach.c (Module): Version of imach using partly decoderesult to rebuild xpxij function |
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Revision 1.329 2022/08/03 17:29:54 brouard |
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* imach.c (Module): Many errors in graphs fixed with Vn*age covariates. |
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Revision 1.328 2022/07/27 17:40:48 brouard |
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Summary: valgrind bug fixed by initializing to zero DummyV as well as Tage |
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Revision 1.327 2022/07/27 14:47:35 brouard |
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Summary: Still a problem for one-step probabilities in case of quantitative variables |
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Revision 1.326 2022/07/26 17:33:55 brouard |
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Summary: some test with nres=1 |
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Revision 1.325 2022/07/25 14:27:23 brouard |
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Summary: r30 |
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* imach.c (Module): Error cptcovn instead of nsd in bmij (was |
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coredumped, revealed by Feiuno, thank you. |
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Revision 1.324 2022/07/23 17:44:26 brouard |
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*** empty log message *** |
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Revision 1.323 2022/07/22 12:30:08 brouard |
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* imach.c (Module): Output of Wald test in the htm file and not only in the log. |
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Revision 1.322 2022/07/22 12:27:48 brouard |
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* imach.c (Module): Output of Wald test in the htm file and not only in the log. |
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Revision 1.321 2022/07/22 12:04:24 brouard |
Revision 1.321 2022/07/22 12:04:24 brouard |
Summary: r28 |
Summary: r28 |
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Line 863
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Line 938
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The same imach parameter file can be used but the option for mle should be -3. |
The same imach parameter file can be used but the option for mle should be -3. |
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Agnès, who wrote this part of the code, tried to keep most of the |
Agnès, who wrote this part of the code, tried to keep most of the |
former routines in order to include the new code within the former code. |
former routines in order to include the new code within the former code. |
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The output is very simple: only an estimate of the intercept and of |
The output is very simple: only an estimate of the intercept and of |
Line 1042 Important routines
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Line 1117 Important routines
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- Tricode which tests the modality of dummy variables (in order to warn with wrong or empty modalities) |
- Tricode which tests the modality of dummy variables (in order to warn with wrong or empty modalities) |
and returns the number of efficient covariates cptcoveff and modalities nbcode[Tvar[k]][1]= 0 and nbcode[Tvar[k]][2]= 1 usually. |
and returns the number of efficient covariates cptcoveff and modalities nbcode[Tvar[k]][1]= 0 and nbcode[Tvar[k]][2]= 1 usually. |
- printinghtml which outputs results like life expectancy in and from a state for a combination of modalities of dummy variables |
- printinghtml which outputs results like life expectancy in and from a state for a combination of modalities of dummy variables |
o There are 2*cptcoveff combinations of (0,1) for cptcoveff variables. Outputting only combinations with people, éliminating 1 1 if |
o There are 2**cptcoveff combinations of (0,1) for cptcoveff variables. Outputting only combinations with people, éliminating 1 1 if |
race White (0 0), Black vs White (1 0), Hispanic (0 1) and 1 1 being meaningless. |
race White (0 0), Black vs White (1 0), Hispanic (0 1) and 1 1 being meaningless. |
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Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr). |
Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr). |
Institut national d'études démographiques, Paris. |
Institut national d'études démographiques, Paris. |
This software have been partly granted by Euro-REVES, a concerted action |
This software have been partly granted by Euro-REVES, a concerted action |
from the European Union. |
from the European Union. |
It is copyrighted identically to a GNU software product, ie programme and |
It is copyrighted identically to a GNU software product, ie programme and |
Line 1168 typedef struct {
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Line 1243 typedef struct {
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#define GNUPLOTPROGRAM "gnuplot" |
#define GNUPLOTPROGRAM "gnuplot" |
/*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/ |
/*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/ |
#define FILENAMELENGTH 132 |
#define FILENAMELENGTH 256 |
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#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 */ |
Line 1179 typedef struct {
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Line 1254 typedef struct {
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#define NINTERVMAX 8 |
#define NINTERVMAX 8 |
#define NLSTATEMAX 8 /**< Maximum number of live states (for func) */ |
#define NLSTATEMAX 8 /**< Maximum number of live states (for func) */ |
#define NDEATHMAX 8 /**< Maximum number of dead states (for func) */ |
#define NDEATHMAX 8 /**< Maximum number of dead states (for func) */ |
#define NCOVMAX 30 /**< Maximum number of covariates, including generated covariates V1*V2 */ |
#define NCOVMAX 30 /**< Maximum number of covariates used in the model, including generated covariates V1*V2 or V1*age */ |
#define codtabm(h,k) (1 & (h-1) >> (k-1))+1 |
#define codtabm(h,k) (1 & (h-1) >> (k-1))+1 |
/*#define decodtabm(h,k,cptcoveff)= (h <= (1<<cptcoveff)?(((h-1) >> (k-1)) & 1) +1 : -1)*/ |
/*#define decodtabm(h,k,cptcoveff)= (h <= (1<<cptcoveff)?(((h-1) >> (k-1)) & 1) +1 : -1)*/ |
#define decodtabm(h,k,cptcoveff) (((h-1) >> (k-1)) & 1) +1 |
#define decodtabm(h,k,cptcoveff) (((h-1) >> (k-1)) & 1) +1 |
Line 1207 typedef struct {
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Line 1282 typedef struct {
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/* $State$ */ |
/* $State$ */ |
#include "version.h" |
#include "version.h" |
char version[]=__IMACH_VERSION__; |
char version[]=__IMACH_VERSION__; |
char copyright[]="May 2022,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2020, Nihon University 2021-202, INED 2000-2022"; |
char 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 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 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=V2+V1+ V3*age+V2*V4 */ |
/* Number of covariates model (1)=V2+V1+ V3*age+V2*V4 */ |
int cptcovn=0; /**< cptcovn number of covariates added in the model (excepting constant and age and age*product) */ |
/* Model(2) V1 + V2 + V3 + V8 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */ |
int cptcovt=0; /**< cptcovt number of covariates added in the model (excepting constant and age) */ |
int cptcovn=0; /**< cptcovn decodemodel: number of covariates k of the models excluding age*products =6 and age*age */ |
int cptcovs=0; /**< cptcovs number of simple covariates in the model V2+V1 =2 */ |
int cptcovt=0; /**< cptcovt: total number of covariates of the model (2) nbocc(+)+1 = 8 excepting constant and age and age*age */ |
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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 cptcovprodnoage=0; /**< Number of covariate products without age */ |
int cptcovprodnoage=0; /**< Number of covariate products without age */ |
int cptcoveff=0; /* Total number of covariates to vary for printing results */ |
int cptcoveff=0; /* Total number of covariates to vary for printing results (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 ncova=0; /* Total number of effective (wave and stepm) varying with age covariates (dummy of quantitative) in the model */ |
Line 1370 int *ncodemaxwundef; /* ncodemax[j]= Nu
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Line 1446 int *ncodemaxwundef; /* ncodemax[j]= Nu
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double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint; |
double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint; |
double **pmmij, ***probs; /* Global pointer */ |
double **pmmij, ***probs; /* Global pointer */ |
double ***mobaverage, ***mobaverages; /* New global variable */ |
double ***mobaverage, ***mobaverages; /* New global variable */ |
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double **precov; /* New global variable to store for each resultline, values of model covariates given by the resultlines (in order to speed up) */ |
double *ageexmed,*agecens; |
double *ageexmed,*agecens; |
double dateintmean=0; |
double dateintmean=0; |
double anprojd, mprojd, jprojd; /* For eventual projections */ |
double anprojd, mprojd, jprojd; /* For eventual projections */ |
Line 1394 int **nbcode, *Tvar; /**< model=V2 => Tv
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Line 1471 int **nbcode, *Tvar; /**< model=V2 => Tv
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* V1 V2 V3 V4 V5 V6 V7 V8 Weight ddb ddth d1st s1 V9 V10 V11 V12 s2 V9 V10 V11 V12 |
* V1 V2 V3 V4 V5 V6 V7 V8 Weight ddb ddth d1st s1 V9 V10 V11 V12 s2 V9 V10 V11 V12 |
* < ncovcol=6 > nqv=2 (V7 V8) dv dv dv qtv dv dv dvv qtv |
* < ncovcol=6 > nqv=2 (V7 V8) dv dv dv qtv dv dv dvv qtv |
* ntv=3 nqtv=1 |
* ntv=3 nqtv=1 |
* cptcovn number of covariates (not including constant and age) = # of + plus 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][ntv+iv][i]= [3+(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[k,i], value of kth fixed covariate dummy or quanti : |
* covar[Vk,i], value of the Vkth fixed covariate dummy or quanti 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) |
* Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8 + V9 + V9*age + V10 |
* Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8 + V9 + V9*age + V10 |
* k= 1 2 3 4 5 6 7 8 9 10 11 |
* k= 1 2 3 4 5 6 7 8 9 10 11 |
Line 1420 int **nbcode, *Tvar; /**< model=V2 => Tv
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Line 1497 int **nbcode, *Tvar; /**< model=V2 => Tv
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/* 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 */ |
/* nsd 1 2 3 */ /* Counting single dummies covar fixed or tv */ |
/* nsd 1 2 3 */ /* Counting single dummies covar fixed or tv */ |
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/*TnsdVar[Tvar] 1 2 3 */ |
/*TvarsD[nsd] 4 3 1 */ /* ID of single dummy cova fixed or timevary*/ |
/*TvarsD[nsd] 4 3 1 */ /* ID of single dummy cova fixed or timevary*/ |
/*TvarsDind[k] 2 3 9 */ /* position K of single dummy cova */ |
/*TvarsDind[k] 2 3 9 */ /* position K of single dummy cova */ |
/* nsq 1 2 */ /* Counting single quantit tv */ |
/* nsq 1 2 */ /* Counting single quantit tv */ |
Line 1429 int **nbcode, *Tvar; /**< model=V2 => Tv
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Line 1507 int **nbcode, *Tvar; /**< model=V2 => Tv
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/* cptcovage 1 2 */ /* Counting cov*age in the model equation */ |
/* cptcovage 1 2 */ /* Counting cov*age in the model equation */ |
/* Tage[cptcovage]=k 5 8 */ /* Position in the model of ith cov*age */ |
/* Tage[cptcovage]=k 5 8 */ /* Position in the model of ith cov*age */ |
/* Tvard[1][1]@4={4,3,1,2} V4*V3 V1*V2 */ /* Position in model of the ith prod without age */ |
/* Tvard[1][1]@4={4,3,1,2} V4*V3 V1*V2 */ /* Position in model of the ith prod without age */ |
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/* 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) */ |
/* Type */ |
/* Type */ |
Line 1437 int **nbcode, *Tvar; /**< model=V2 => Tv
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Line 1516 int **nbcode, *Tvar; /**< model=V2 => Tv
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/* D Q D D Q */ |
/* D Q D D Q */ |
/* */ |
/* */ |
int *TvarsD; |
int *TvarsD; |
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int *TnsdVar; |
int *TvarsDind; |
int *TvarsDind; |
int *TvarsQ; |
int *TvarsQ; |
int *TvarsQind; |
int *TvarsQind; |
Line 1445 int *TvarsQind;
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Line 1525 int *TvarsQind;
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int nresult=0; |
int nresult=0; |
int parameterline=0; /* # of the parameter (type) line */ |
int parameterline=0; /* # of the parameter (type) line */ |
int TKresult[MAXRESULTLINESPONE]; |
int TKresult[MAXRESULTLINESPONE]; |
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int resultmodel[MAXRESULTLINESPONE][NCOVMAX];/* resultmodel[k1]=k3: k1th position in the model correspond to the k3 position in the resultline */ |
int Tresult[MAXRESULTLINESPONE][NCOVMAX];/* For dummy variable , value (output) */ |
int Tresult[MAXRESULTLINESPONE][NCOVMAX];/* For dummy variable , value (output) */ |
int Tinvresult[MAXRESULTLINESPONE][NCOVMAX];/* For dummy variable , value (output) */ |
int Tinvresult[MAXRESULTLINESPONE][NCOVMAX];/* Tinvresult[nres][Name of a dummy variable]= value of the variable in the result line */ |
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double TinvDoQresult[MAXRESULTLINESPONE][NCOVMAX];/* TinvDoQresult[nres][Name of a Dummy or Q variable]= value of the variable in the result line */ |
int Tvresult[MAXRESULTLINESPONE][NCOVMAX]; /* For dummy variable , variable # (output) */ |
int Tvresult[MAXRESULTLINESPONE][NCOVMAX]; /* For dummy variable , variable # (output) */ |
double Tqresult[MAXRESULTLINESPONE][NCOVMAX]; /* For quantitative variable , value (output) */ |
double Tqresult[MAXRESULTLINESPONE][NCOVMAX]; /* Tqresult[nres][result_position]= value of the variable at the result_position in the nres resultline */ |
double Tqinvresult[MAXRESULTLINESPONE][NCOVMAX]; /* For quantitative variable , value (output) */ |
double Tqinvresult[MAXRESULTLINESPONE][NCOVMAX]; /* For quantitative variable , value (output) */ |
int Tvqresult[MAXRESULTLINESPONE][NCOVMAX]; /* For quantitative variable , variable # (output) */ |
int Tvqresult[MAXRESULTLINESPONE][NCOVMAX]; /* Tvqresult[nres][result_position]= id of the variable at the result_position in the nres resultline */ |
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/* ncovcol=1(Males=0 Females=1) nqv=1(raedyrs) ntv=2(withoutiadl=0 withiadl=1, witoutadl=0 withoutadl=1) nqtv=1(bmi) nlstate=3 ndeath=1 |
/* ncovcol=1(Males=0 Females=1) nqv=1(raedyrs) ntv=2(withoutiadl=0 withiadl=1, witoutadl=0 withoutadl=1) nqtv=1(bmi) nlstate=3 ndeath=1 |
# States 1=Coresidence, 2 Living alone, 3 Institution |
# States 1=Coresidence, 2 Living alone, 3 Institution |
Line 1487 int *TmodelInvQind; /** Tmodelqind[1]=1
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Line 1569 int *TmodelInvQind; /** Tmodelqind[1]=1
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int *Ndum; /** Freq of modality (tricode */ |
int *Ndum; /** Freq of modality (tricode */ |
/* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */ |
/* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */ |
int **Tvard; |
int **Tvard; |
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int **Tvardk; |
int *Tprod;/**< Gives the k position of the k1 product */ |
int *Tprod;/**< Gives the k position of the k1 product */ |
/* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3 */ |
/* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3 */ |
int *Tposprod; /**< Gives the k1 product from the k position */ |
int *Tposprod; /**< Gives the k1 product from the k position */ |
Line 2410 void powell(double p[], double **xi, int
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Line 2493 void powell(double p[], double **xi, int
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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); |
for (*iter=1;;++(*iter)) { |
for (*iter=1;;++(*iter)) { |
fp=(*fret); /* From former iteration or initial value */ |
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ibig=0; |
ibig=0; |
del=0.0; |
del=0.0; |
rlast_time=rcurr_time; |
rlast_time=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 %ld sec. %ld sec.",*iter,*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 %ld sec. %ld sec.",*iter,*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); */ |
/* fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tm_sec-start_time.tm_sec); */ |
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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 2745 void powell(double p[], double **xi, int
|
Line 2828 void powell(double p[], double **xi, int
|
/* 0.51326036147820708, 0.48673963852179264} */ |
/* 0.51326036147820708, 0.48673963852179264} */ |
/* If we start from prlim again, prlim tends to a constant matrix */ |
/* If we start from prlim again, prlim tends to a constant matrix */ |
|
|
int i, ii,j,k; |
int i, ii,j,k, k1; |
double *min, *max, *meandiff, maxmax,sumnew=0.; |
double *min, *max, *meandiff, maxmax,sumnew=0.; |
/* double **matprod2(); */ /* test */ |
/* double **matprod2(); */ /* test */ |
double **out, cov[NCOVMAX+1], **pmij(); /* **pmmij is a global variable feeded with oldms etc */ |
double **out, cov[NCOVMAX+1], **pmij(); /* **pmmij is a global variable feeded with oldms etc */ |
Line 2776 void powell(double p[], double **xi, int
|
Line 2859 void powell(double p[], double **xi, int
|
if(nagesqr==1){ |
if(nagesqr==1){ |
cov[3]= agefin*agefin; |
cov[3]= agefin*agefin; |
} |
} |
for (k=1; k<=nsd;k++) { /* For single dummy covariates only */ |
/* Model(2) V1 + V2 + V3 + V8 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */ |
/* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */ |
/* total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and age*age */ |
cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)]; |
for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
/* cov[++k1]=nbcode[TvarsD[k]][codtabm(ij,k)]; */ |
if(Typevar[k1]==1){ /* A product with age */ |
/* printf("prevalim Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */ |
cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
} |
}else{ |
for (k=1; k<=nsq;k++) { /* For single varying covariates only */ |
cov[2+nagesqr+k1]=precov[nres][k1]; |
/* Here comes the value of quantitative after renumbering k with single quantitative covariates */ |
} |
cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; |
}/* End of loop on model equation */ |
/* cov[++k1]=Tqresult[nres][k]; */ |
|
/* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */ |
/* Start of old code (replaced by a loop on position in the model equation */ |
} |
/* for (k=1; k<=nsd;k++) { /\* For single dummy covariates only of the model *\/ */ |
for (k=1; k<=cptcovage;k++){ /* For product with age */ |
/* /\* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates *\/ */ |
if(Dummy[Tage[k]]==2){ /* dummy with age */ |
/* /\* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,TvarsD[k])]; *\/ */ |
cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
/* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,TnsdVar[TvarsD[k]])]; */ |
/* cov[++k1]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; */ |
/* /\* model = 1 +age + V1*V3 + age*V1 + V2 + V1 + age*V2 + V3 + V3*age + V1*V2 */ |
} else if(Dummy[Tage[k]]==3){ /* quantitative with age */ |
/* * k 1 2 3 4 5 6 7 8 */ |
cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; |
/* *cov[] 1 2 3 4 5 6 7 8 9 10 */ |
/* cov[++k1]=Tqresult[nres][k]; */ |
/* *TypeVar[k] 2 1 0 0 1 0 1 2 */ |
} |
/* *Dummy[k] 0 2 0 0 2 0 2 0 */ |
/* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */ |
/* *Tvar[k] 4 1 2 1 2 3 3 5 */ |
} |
/* *nsd=3 (1) (2) (3) */ |
for (k=1; k<=cptcovprod;k++){ /* For product without age */ |
/* *TvarsD[nsd] [1]=2 1 3 */ |
/* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); */ |
/* *TnsdVar [2]=2 [1]=1 [3]=3 */ |
if(Dummy[Tvard[k][1]==0]){ |
/* *TvarsDind[nsd](=k) [1]=3 [2]=4 [3]=6 */ |
if(Dummy[Tvard[k][2]==0]){ |
/* *Tage[] [1]=1 [2]=2 [3]=3 */ |
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; |
/* *Tvard[] [1][1]=1 [2][1]=1 */ |
/* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; */ |
/* * [1][2]=3 [2][2]=2 */ |
}else{ |
/* *Tprod[](=k) [1]=1 [2]=8 */ |
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; |
/* *TvarsDp(=Tvar) [1]=1 [2]=2 [3]=3 [4]=5 */ |
/* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; */ |
/* *TvarD (=k) [1]=1 [2]=3 [3]=4 [3]=6 [4]=6 */ |
} |
/* *TvarsDpType */ |
}else{ |
/* *si model= 1 + age + V3 + V2*age + V2 + V3*age */ |
if(Dummy[Tvard[k][2]==0]){ |
/* * nsd=1 (1) (2) */ |
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; |
/* *TvarsD[nsd] 3 2 */ |
/* cov[++k1]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; */ |
/* *TnsdVar (3)=1 (2)=2 */ |
}else{ |
/* *TvarsDind[nsd](=k) [1]=1 [2]=3 */ |
cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; |
/* *Tage[] [1]=2 [2]= 3 */ |
/* cov[++k1]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; */ |
/* *\/ */ |
} |
/* /\* cov[++k1]=nbcode[TvarsD[k]][codtabm(ij,k)]; *\/ */ |
} |
/* /\* printf("prevalim Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); *\/ */ |
} |
/* } */ |
|
/* for (k=1; k<=nsq;k++) { /\* For single quantitative varying covariates only of the model *\/ */ |
|
/* /\* Here comes the value of quantitative after renumbering k with single quantitative covariates *\/ */ |
|
/* /\* Tqresult[nres][result_position]= value of the variable at the result_position in the nres resultline *\/ */ |
|
/* /\* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; *\/ */ |
|
/* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][resultmodel[nres][k1]] */ |
|
/* /\* cov[++k1]=Tqresult[nres][k]; *\/ */ |
|
/* /\* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); *\/ */ |
|
/* } */ |
|
/* for (k=1; k<=cptcovage;k++){ /\* For product with age *\/ */ |
|
/* if(Dummy[Tage[k]]==2){ /\* dummy with age *\/ */ |
|
/* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]*cov[2]; */ |
|
/* /\* cov[++k1]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; *\/ */ |
|
/* } else if(Dummy[Tage[k]]==3){ /\* quantitative with age *\/ */ |
|
/* cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; */ |
|
/* /\* cov[++k1]=Tqresult[nres][k]; *\/ */ |
|
/* } */ |
|
/* /\* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); *\/ */ |
|
/* } */ |
|
/* for (k=1; k<=cptcovprod;k++){ /\* For product without age *\/ */ |
|
/* /\* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); *\/ */ |
|
/* if(Dummy[Tvard[k][1]]==0){ */ |
|
/* if(Dummy[Tvard[k][2]]==0){ */ |
|
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ |
|
/* /\* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; *\/ */ |
|
/* }else{ */ |
|
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * Tqresult[nres][k]; */ |
|
/* /\* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; *\/ */ |
|
/* } */ |
|
/* }else{ */ |
|
/* if(Dummy[Tvard[k][2]]==0){ */ |
|
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])] * Tqinvresult[nres][Tvard[k][1]]; */ |
|
/* /\* cov[++k1]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; *\/ */ |
|
/* }else{ */ |
|
/* cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; */ |
|
/* /\* cov[++k1]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; *\/ */ |
|
/* } */ |
|
/* } */ |
|
/* } /\* End product without age *\/ */ |
|
/* ENd of old code */ |
/*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ |
/*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ |
/*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ |
/*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ |
/*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/ |
/*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/ |
Line 2909 void powell(double p[], double **xi, int
|
Line 3031 void powell(double p[], double **xi, int
|
/* 0.51326036147820708, 0.48673963852179264} */ |
/* 0.51326036147820708, 0.48673963852179264} */ |
/* If we start from prlim again, prlim tends to a constant matrix */ |
/* If we start from prlim again, prlim tends to a constant matrix */ |
|
|
int i, ii,j,k; |
int i, ii,j,k, k1; |
int first=0; |
int first=0; |
double *min, *max, *meandiff, maxmax,sumnew=0.; |
double *min, *max, *meandiff, maxmax,sumnew=0.; |
/* double **matprod2(); */ /* test */ |
/* double **matprod2(); */ /* test */ |
Line 2949 void powell(double p[], double **xi, int
|
Line 3071 void powell(double p[], double **xi, int
|
if(nagesqr==1){ |
if(nagesqr==1){ |
cov[3]= agefin*agefin;; |
cov[3]= agefin*agefin;; |
} |
} |
for (k=1; k<=nsd;k++) { /* For single dummy covariates only */ |
for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
/* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */ |
if(Typevar[k1]==1){ /* A product with age */ |
cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)]; |
cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
/* printf("bprevalim Dummy agefin=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agefin,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[k],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */ |
|
} |
|
/* for (k=1; k<=cptcovn;k++) { */ |
|
/* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; *\/ */ |
|
/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */ |
|
/* /\* printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtabm(ij,Tvar[k])],cov[2+k], ij, k, codtabm(ij,Tvar[k])]); *\/ */ |
|
/* } */ |
|
for (k=1; k<=nsq;k++) { /* For single varying covariates only */ |
|
/* Here comes the value of quantitative after renumbering k with single quantitative covariates */ |
|
cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; |
|
/* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */ |
|
} |
|
/* for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,k)]*cov[2]; */ |
|
/* for (k=1; k<=cptcovprod;k++) /\* Useless *\/ */ |
|
/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; *\/ */ |
|
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; */ |
|
for (k=1; k<=cptcovage;k++){ /* For product with age */ |
|
/* if(Dummy[Tvar[Tage[k]]]== 2){ /\* dummy with age *\/ ERROR ???*/ |
|
if(Dummy[Tage[k]]== 2){ /* dummy with age */ |
|
cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
|
} else if(Dummy[Tage[k]]== 3){ /* quantitative with age */ |
|
cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; |
|
} |
|
/* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */ |
|
} |
|
for (k=1; k<=cptcovprod;k++){ /* For product without age */ |
|
/* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); */ |
|
if(Dummy[Tvard[k][1]==0]){ |
|
if(Dummy[Tvard[k][2]==0]){ |
|
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; |
|
}else{ |
|
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; |
|
} |
|
}else{ |
}else{ |
if(Dummy[Tvard[k][2]==0]){ |
cov[2+nagesqr+k1]=precov[nres][k1]; |
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; |
|
}else{ |
|
cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; |
|
} |
|
} |
} |
} |
}/* End of loop on model equation */ |
|
|
|
/* Old code */ |
|
|
|
/* for (k=1; k<=nsd;k++) { /\* For single dummy covariates only *\/ */ |
|
/* /\* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates *\/ */ |
|
/* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,TvarsD[k])]; */ |
|
/* /\* printf("bprevalim Dummy agefin=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agefin,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[k],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); *\/ */ |
|
/* } */ |
|
/* /\* for (k=1; k<=cptcovn;k++) { *\/ */ |
|
/* /\* /\\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; *\\/ *\/ */ |
|
/* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; *\/ */ |
|
/* /\* /\\* printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtabm(ij,Tvar[k])],cov[2+k], ij, k, codtabm(ij,Tvar[k])]); *\\/ *\/ */ |
|
/* /\* } *\/ */ |
|
/* for (k=1; k<=nsq;k++) { /\* For single varying covariates only *\/ */ |
|
/* /\* Here comes the value of quantitative after renumbering k with single quantitative covariates *\/ */ |
|
/* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; */ |
|
/* /\* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); *\/ */ |
|
/* } */ |
|
/* /\* for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,k)]*cov[2]; *\/ */ |
|
/* /\* for (k=1; k<=cptcovprod;k++) /\\* Useless *\\/ *\/ */ |
|
/* /\* /\\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; *\\/ *\/ */ |
|
/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; *\/ */ |
|
/* for (k=1; k<=cptcovage;k++){ /\* For product with age *\/ */ |
|
/* /\* if(Dummy[Tvar[Tage[k]]]== 2){ /\\* dummy with age *\\/ ERROR ???*\/ */ |
|
/* if(Dummy[Tage[k]]== 2){ /\* dummy with age *\/ */ |
|
/* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]*cov[2]; */ |
|
/* } else if(Dummy[Tage[k]]== 3){ /\* quantitative with age *\/ */ |
|
/* cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; */ |
|
/* } */ |
|
/* /\* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); *\/ */ |
|
/* } */ |
|
/* for (k=1; k<=cptcovprod;k++){ /\* For product without age *\/ */ |
|
/* /\* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); *\/ */ |
|
/* if(Dummy[Tvard[k][1]]==0){ */ |
|
/* if(Dummy[Tvard[k][2]]==0){ */ |
|
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ |
|
/* }else{ */ |
|
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * Tqresult[nres][k]; */ |
|
/* } */ |
|
/* }else{ */ |
|
/* if(Dummy[Tvard[k][2]]==0){ */ |
|
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])] * Tqinvresult[nres][Tvard[k][1]]; */ |
|
/* }else{ */ |
|
/* cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; */ |
|
/* } */ |
|
/* } */ |
|
/* } */ |
|
|
/*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ |
/*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ |
/*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ |
/*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ |
Line 3103 double **pmij(double **ps, double *cov,
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Line 3235 double **pmij(double **ps, double *cov,
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/* printf("Int j<i s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */ |
/* printf("Int j<i s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */ |
} |
} |
ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ |
ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ |
/* printf("s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */ |
/* printf("Debug pmij() i=%d j=%d nc=%d s1=%.17f, lnpijopii=%.17f\n",i,j,nc, s1,lnpijopii); */ |
} |
} |
for(j=i+1; j<=nlstate+ndeath;j++){ |
for(j=i+1; j<=nlstate+ndeath;j++){ |
for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){ |
for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){ |
Line 3112 double **pmij(double **ps, double *cov,
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Line 3244 double **pmij(double **ps, double *cov,
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/* printf("Int j>i s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */ |
/* printf("Int j>i s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */ |
} |
} |
ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ |
ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ |
|
/* printf("Debug pmij() i=%d j=%d nc=%d s1=%.17f, lnpijopii=%.17f\n",i,j,nc, s1,lnpijopii); */ |
} |
} |
} |
} |
|
|
Line 3119 double **pmij(double **ps, double *cov,
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Line 3252 double **pmij(double **ps, double *cov,
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s1=0; |
s1=0; |
for(j=1; j<i; j++){ |
for(j=1; j<i; j++){ |
s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
/*printf("debug1 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */ |
/* printf("debug1 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */ |
} |
} |
for(j=i+1; j<=nlstate+ndeath; j++){ |
for(j=i+1; j<=nlstate+ndeath; j++){ |
s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
/*printf("debug2 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */ |
/* printf("debug2 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */ |
} |
} |
/* s1= sum_{j<>i} pij/pii=(1-pii)/pii and thus pii is known from s1 */ |
/* s1= sum_{j<>i} pij/pii=(1-pii)/pii and thus pii is known from s1 */ |
ps[i][i]=1./(s1+1.); |
ps[i][i]=1./(s1+1.); |
/* Computing other pijs */ |
/* Computing other pijs */ |
for(j=1; j<i; j++) |
for(j=1; j<i; j++) |
ps[i][j]= exp(ps[i][j])*ps[i][i]; |
ps[i][j]= exp(ps[i][j])*ps[i][i];/* Bug valgrind */ |
for(j=i+1; j<=nlstate+ndeath; j++) |
for(j=i+1; j<=nlstate+ndeath; j++) |
ps[i][j]= exp(ps[i][j])*ps[i][i]; |
ps[i][j]= exp(ps[i][j])*ps[i][i]; |
/* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */ |
/* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */ |
Line 3187 double **pmij(double **ps, double *cov,
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Line 3320 double **pmij(double **ps, double *cov,
|
/* dsavm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ |
/* dsavm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ |
|
|
/* P_x */ |
/* P_x */ |
pmmij=pmij(pmmij,cov,ncovmodel,x,nlstate); /*This is forward probability from agefin to agefin + stepm */ |
pmmij=pmij(pmmij,cov,ncovmodel,x,nlstate); /*This is forward probability from agefin to agefin + stepm *//* Bug valgrind */ |
/* outputs pmmij which is a stochastic matrix in row */ |
/* outputs pmmij which is a stochastic matrix in row */ |
|
|
/* Diag(w_x) */ |
/* Diag(w_x) */ |
Line 3367 double **matprod2(double **out, double *
|
Line 3500 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 combination of covariate values corresponding to ij over |
/* 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 3379 double ***hpxij(double ***po, int nhstep
|
Line 3512 double ***hpxij(double ***po, int nhstep
|
|
|
*/ |
*/ |
|
|
int i, j, d, h, k; |
int i, j, d, h, k, k1; |
double **out, cov[NCOVMAX+1]; |
double **out, cov[NCOVMAX+1]; |
double **newm; |
double **newm; |
double agexact; |
double agexact; |
Line 3402 double ***hpxij(double ***po, int nhstep
|
Line 3535 double ***hpxij(double ***po, int nhstep
|
if(nagesqr==1){ |
if(nagesqr==1){ |
cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
} |
} |
for (k=1; k<=nsd;k++) { /* For single dummy covariates only */ |
/* Model(2) V1 + V2 + V3 + V8 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */ |
/* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */ |
/* total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and age*age */ |
/* codtabm(ij,k) (1 & (ij-1) >> (k-1))+1 */ |
for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
if(Typevar[k1]==1){ /* A product with age */ |
/* k 1 2 3 4 5 6 7 8 9 */ |
cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
/*Tvar[k]= 5 4 3 6 5 2 7 1 1 */ |
|
/* nsd 1 2 3 */ /* Counting single dummies covar fixed or tv */ |
|
/*TvarsD[nsd] 4 3 1 */ /* ID of single dummy cova fixed or timevary*/ |
|
/*TvarsDind[k] 2 3 9 */ /* position K of single dummy cova */ |
|
cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)]; |
|
/* printf("hpxij Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */ |
|
} |
|
for (k=1; k<=nsq;k++) { /* For single varying covariates only */ |
|
/* Here comes the value of quantitative after renumbering k with single quantitative covariates */ |
|
cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; |
|
/* printf("hPxij Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */ |
|
} |
|
for (k=1; k<=cptcovage;k++){ /* For product with age V1+V1*age +V4 +age*V3 */ |
|
/* 1+2 Tage[1]=2 TVar[2]=1 Dummy[2]=2, Tage[2]=4 TVar[4]=3 Dummy[4]=3 quant*/ |
|
/* */ |
|
if(Dummy[Tage[k]]== 2){ /* dummy with age */ |
|
/* if(Dummy[Tvar[Tage[k]]]== 2){ /\* dummy with age *\/ */ |
|
cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
|
} else if(Dummy[Tage[k]]== 3){ /* quantitative with age */ |
|
cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; |
|
} |
|
/* printf("hPxij Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */ |
|
} |
|
for (k=1; k<=cptcovprod;k++){ /* For product without age */ |
|
/* printf("hPxij Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); */ |
|
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; */ |
|
if(Dummy[Tvard[k][1]==0]){ |
|
if(Dummy[Tvard[k][2]==0]){ |
|
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; |
|
}else{ |
|
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; |
|
} |
|
}else{ |
}else{ |
if(Dummy[Tvard[k][2]==0]){ |
cov[2+nagesqr+k1]=precov[nres][k1]; |
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; |
|
}else{ |
|
cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; |
|
} |
|
} |
} |
} |
}/* End of loop on model equation */ |
|
/* Old code */ |
|
/* if( Dummy[k1]==0 && Typevar[k1]==0 ){ /\* Single dummy *\/ */ |
|
/* /\* V(Tvarsel)=Tvalsel=Tresult[nres][pos](value); V(Tvresult[nres][pos] (variable): V(variable)=value) *\/ */ |
|
/* /\* for (k=1; k<=nsd;k++) { /\\* For single dummy covariates only *\\/ *\/ */ |
|
/* /\* /\\* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates *\\/ *\/ */ |
|
/* /\* codtabm(ij,k) (1 & (ij-1) >> (k-1))+1 *\/ */ |
|
/* /\* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\/ */ |
|
/* /\* k 1 2 3 4 5 6 7 8 9 *\/ */ |
|
/* /\*Tvar[k]= 5 4 3 6 5 2 7 1 1 *\/ */ |
|
/* /\* nsd 1 2 3 *\/ /\* Counting single dummies covar fixed or tv *\/ */ |
|
/* /\*TvarsD[nsd] 4 3 1 *\/ /\* ID of single dummy cova fixed or timevary*\/ */ |
|
/* /\*TvarsDind[k] 2 3 9 *\/ /\* position K of single dummy cova *\/ */ |
|
/* /\* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)];or [codtabm(ij,TnsdVar[TvarsD[k]] *\/ */ |
|
/* cov[2+nagesqr+k1]=Tresult[nres][resultmodel[nres][k1]]; */ |
|
/* /\* printf("hpxij Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,TnsdVar[TvarsD[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,TnsdVar[TvarsD[k]])],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,TnsdVar[TvarsD[k]])); *\/ */ |
|
/* printf("hpxij Dummy combi=%d k1=%d Tvar[%d]=V%d cov[2+%d+%d]=%lf resultmodel[nres][%d]=%d nres/nresult=%d/%d \n",ij,k1,k1, Tvar[k1],nagesqr,k1,cov[2+nagesqr+k1],k1,resultmodel[nres][k1],nres,nresult); */ |
|
/* printf("hpxij new Dummy precov[nres=%d][k1=%d]=%.4f\n", nres, k1, precov[nres][k1]); */ |
|
/* }else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /\* Single quantitative variables *\/ */ |
|
/* /\* resultmodel[nres][k1]=k3: k1th position in the model correspond to the k3 position in the resultline *\/ */ |
|
/* cov[2+nagesqr+k1]=Tqresult[nres][resultmodel[nres][k1]]; */ |
|
/* /\* for (k=1; k<=nsq;k++) { /\\* For single varying covariates only *\\/ *\/ */ |
|
/* /\* /\\* Here comes the value of quantitative after renumbering k with single quantitative covariates *\\/ *\/ */ |
|
/* /\* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; *\/ */ |
|
/* printf("hPxij Quantitative k1=%d resultmodel[nres][%d]=%d,Tqresult[%d][%d]=%f\n",k1,k1,resultmodel[nres][k1],nres,resultmodel[nres][k1],Tqresult[nres][resultmodel[nres][k1]]); */ |
|
/* printf("hpxij new Quanti precov[nres=%d][k1=%d]=%.4f\n", nres, k1, precov[nres][k1]); */ |
|
/* }else if( Dummy[k1]==2 ){ /\* For dummy with age product *\/ */ |
|
/* /\* Tvar[k1] Variable in the age product age*V1 is 1 *\/ */ |
|
/* /\* [Tinvresult[nres][V1] is its value in the resultline nres *\/ */ |
|
/* cov[2+nagesqr+k1]=TinvDoQresult[nres][Tvar[k1]]*cov[2]; */ |
|
/* printf("DhPxij Dummy with age k1=%d Tvar[%d]=%d TinvDoQresult[nres=%d][%d]=%.f age=%.2f,cov[2+%d+%d]=%.3f\n",k1,k1,Tvar[k1],nres,TinvDoQresult[nres][Tvar[k1]],cov[2],nagesqr,k1,cov[2+nagesqr+k1]); */ |
|
/* printf("hpxij new Dummy with age product precov[nres=%d][k1=%d]=%.4f * age=%.2f\n", nres, k1, precov[nres][k1], cov[2]); */ |
|
|
|
/* /\* cov[2+nagesqr+k1]=Tresult[nres][resultmodel[nres][k1]]; *\/ */ |
|
/* /\* for (k=1; k<=cptcovage;k++){ /\\* For product with age V1+V1*age +V4 +age*V3 *\\/ *\/ */ |
|
/* /\* 1+2 Tage[1]=2 TVar[2]=1 Dummy[2]=2, Tage[2]=4 TVar[4]=3 Dummy[4]=3 quant*\/ */ |
|
/* /\* *\/ */ |
|
/* /\* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\/ */ |
|
/* /\* k 1 2 3 4 5 6 7 8 9 *\/ */ |
|
/* /\*Tvar[k]= 5 4 3 6 5 2 7 1 1 *\/ */ |
|
/* /\*cptcovage=2 1 2 *\/ */ |
|
/* /\*Tage[k]= 5 8 *\/ */ |
|
/* }else if( Dummy[k1]==3 ){ /\* For quant with age product *\/ */ |
|
/* cov[2+nagesqr+k1]=Tresult[nres][resultmodel[nres][k1]]; */ |
|
/* printf("QhPxij Quant with age k1=%d resultmodel[nres][%d]=%d,Tqresult[%d][%d]=%f\n",k1,k1,resultmodel[nres][k1],nres,resultmodel[nres][k1],Tqresult[nres][resultmodel[nres][k1]]); */ |
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/* printf("hpxij new Quanti with age product precov[nres=%d][k1=%d] * age=%.2f\n", nres, k1, precov[nres][k1], cov[2]); */ |
|
/* /\* if(Dummy[Tage[k]]== 2){ /\\* dummy with age *\\/ *\/ */ |
|
/* /\* /\\* if(Dummy[Tvar[Tage[k]]]== 2){ /\\\* dummy with age *\\\/ *\\/ *\/ */ |
|
/* /\* /\\* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; *\\/ *\/ */ |
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/* /\* /\\* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,TnsdVar[TvarsD[Tvar[Tage[k]]]])]*cov[2]; *\\/ *\/ */ |
|
/* /\* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,TnsdVar[TvarsD[Tvar[Tage[k]]]])]*cov[2]; *\/ */ |
|
/* /\* printf("hPxij Age combi=%d k=%d cptcovage=%d Tage[%d]=%d Tvar[Tage[%d]]=V%d nbcode[Tvar[Tage[k]]][codtabm(ij,TnsdVar[Tvar[Tage[k]]]])]=%d nres=%d\n",ij,k,cptcovage,k,Tage[k],k,Tvar[Tage[k]], nbcode[Tvar[Tage[k]]][codtabm(ij,TnsdVar[Tvar[Tage[k]]])],nres); *\/ */ |
|
/* /\* } else if(Dummy[Tage[k]]== 3){ /\\* quantitative with age *\\/ *\/ */ |
|
/* /\* cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; *\/ */ |
|
/* /\* } *\/ */ |
|
/* /\* printf("hPxij Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); *\/ */ |
|
/* }else if(Typevar[k1]==2 ){ /\* For product (not with age) *\/ */ |
|
/* /\* for (k=1; k<=cptcovprod;k++){ /\\* For product without age *\\/ *\/ */ |
|
/* /\* /\\* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\\/ *\/ */ |
|
/* /\* /\\* k 1 2 3 4 5 6 7 8 9 *\\/ *\/ */ |
|
/* /\* /\\*Tvar[k]= 5 4 3 6 5 2 7 1 1 *\\/ *\/ */ |
|
/* /\* /\\*cptcovprod=1 1 2 *\\/ *\/ */ |
|
/* /\* /\\*Tprod[]= 4 7 *\\/ *\/ */ |
|
/* /\* /\\*Tvard[][1] 4 1 *\\/ *\/ */ |
|
/* /\* /\\*Tvard[][2] 3 2 *\\/ *\/ */ |
|
|
|
/* /\* printf("hPxij Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]=%d nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][1])]=%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2],nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])],nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]); *\/ */ |
|
/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; *\/ */ |
|
/* cov[2+nagesqr+k1]=TinvDoQresult[nres][Tvardk[k1][1]] * TinvDoQresult[nres][Tvardk[k1][2]]; */ |
|
/* printf("hPxij Prod ij=%d k1=%d cov[2+%d+%d]=%.5f Tvard[%d][1]=V%d * Tvard[%d][2]=V%d ; TinvDoQresult[nres][Tvardk[k1][1]]=%.4f * TinvDoQresult[nres][Tvardk[k1][1]]=%.4f\n",ij,k1,nagesqr,k1,cov[2+nagesqr+k1],k1,Tvardk[k1][1], k1,Tvardk[k1][2], TinvDoQresult[nres][Tvardk[k1][1]], TinvDoQresult[nres][Tvardk[k1][2]]); */ |
|
/* printf("hpxij new Product no age product precov[nres=%d][k1=%d]=%.4f\n", nres, k1, precov[nres][k1]); */ |
|
|
|
/* /\* if(Dummy[Tvardk[k1][1]]==0){ *\/ */ |
|
/* /\* if(Dummy[Tvardk[k1][2]]==0){ /\\* Product of dummies *\\/ *\/ */ |
|
/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; *\/ */ |
|
/* /\* cov[2+nagesqr+k1]=Tinvresult[nres][Tvardk[k1][1]] * Tinvresult[nres][Tvardk[k1][2]]; *\/ */ |
|
/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,TnsdVar[Tvard[k][1]])] * nbcode[Tvard[k][2]][codtabm(ij,TnsdVar[Tvard[k][2]])]; *\/ */ |
|
/* /\* }else{ /\\* Product of dummy by quantitative *\\/ *\/ */ |
|
/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,TnsdVar[Tvard[k][1]])] * Tqresult[nres][k]; *\/ */ |
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/* /\* cov[2+nagesqr+k1]=Tresult[nres][Tinvresult[nres][Tvardk[k1][1]]] * Tqresult[nres][Tinvresult[nres][Tvardk[k1][2]]]; *\/ */ |
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/* /\* } *\/ */ |
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/* /\* }else{ /\\* Product of quantitative by...*\\/ *\/ */ |
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/* /\* if(Dummy[Tvard[k][2]]==0){ /\\* quant by dummy *\\/ *\/ */ |
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/* /\* /\\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,TnsdVar[Tvard[k][2]])] * Tqinvresult[nres][Tvard[k][1]]; *\\/ *\/ */ |
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/* /\* cov[2+nagesqr+k1]=Tqresult[nres][Tinvresult[nres][Tvardk[k1][1]]] * Tresult[nres][Tinvresult[nres][Tvardk[k1][2]]] ; *\/ */ |
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/* /\* }else{ /\\* Product of two quant *\\/ *\/ */ |
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/* /\* /\\* cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; *\\/ *\/ */ |
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/* /\* cov[2+nagesqr+k1]=Tqresult[nres][Tinvresult[nres][Tvardk[k1][1]]] * Tqresult[nres][Tinvresult[nres][Tvardk[k1][2]]] ; *\/ */ |
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/* /\* } *\/ */ |
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/* /\* }/\\*end of products quantitative *\\/ *\/ */ |
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/* }/\*end of products *\/ */ |
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/* } /\* End of loop on model equation *\/ */ |
/* for (k=1; k<=cptcovn;k++) */ |
/* for (k=1; k<=cptcovn;k++) */ |
/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */ |
/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */ |
/* for (k=1; k<=cptcovage;k++) /\* Should start at cptcovn+1 *\/ */ |
/* for (k=1; k<=cptcovage;k++) /\* Should start at cptcovn+1 *\/ */ |
Line 3492 double ***hpxij(double ***po, int nhstep
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Line 3680 double ***hpxij(double ***po, int nhstep
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/* double ***hbxij(double ***po, int nhstepm, double age, int hstepm, double *x, double ***prevacurrent, int nlstate, int stepm, double **oldm, double **savm, double **dnewm, double **doldm, double **dsavm, int ij ) */ |
/* double ***hbxij(double ***po, int nhstepm, double age, int hstepm, double *x, double ***prevacurrent, int nlstate, int stepm, double **oldm, double **savm, double **dnewm, double **doldm, double **dsavm, int ij ) */ |
double ***hbxij(double ***po, int nhstepm, double age, int hstepm, double *x, double ***prevacurrent, int nlstate, int stepm, int ij, int nres ) |
double ***hbxij(double ***po, int nhstepm, double age, int hstepm, double *x, double ***prevacurrent, int nlstate, int stepm, int ij, int nres ) |
{ |
{ |
/* For a combination of dummy covariate ij, computes the transition matrix starting at age 'age' over |
/* For dummy covariates given in each resultline (for historical, computes the corresponding combination ij), |
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computes the transition matrix starting at age 'age' over |
'nhstepm*hstepm*stepm' months (i.e. until |
'nhstepm*hstepm*stepm' months (i.e. until |
age (in years) age+nhstepm*hstepm*stepm/12) by multiplying |
age (in years) age+nhstepm*hstepm*stepm/12) by multiplying |
nhstepm*hstepm matrices. |
nhstepm*hstepm matrices. |
Line 3504 double ***hbxij(double ***po, int nhstep
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Line 3693 double ***hbxij(double ***po, int nhstep
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The addresss of po (p3mat allocated to the dimension of nhstepm) should be stored for output |
The addresss of po (p3mat allocated to the dimension of nhstepm) should be stored for output |
*/ |
*/ |
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int i, j, d, h, k; |
int i, j, d, h, k, k1; |
double **out, cov[NCOVMAX+1], **bmij(); |
double **out, cov[NCOVMAX+1], **bmij(); |
double **newm, ***newmm; |
double **newm, ***newmm; |
double agexact; |
double agexact; |
Line 3530 double ***hbxij(double ***po, int nhstep
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Line 3719 double ***hbxij(double ***po, int nhstep
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/* Debug */ |
/* Debug */ |
/* printf("hBxij age=%lf, agexact=%lf\n", age, agexact); */ |
/* printf("hBxij age=%lf, agexact=%lf\n", age, agexact); */ |
cov[2]=agexact; |
cov[2]=agexact; |
if(nagesqr==1) |
if(nagesqr==1){ |
cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
for (k=1; k<=cptcovn;k++){ |
} |
/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */ |
/** New code */ |
/* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; *\/ */ |
for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)]; |
if(Typevar[k1]==1){ /* A product with age */ |
/* printf("hbxij Dummy agexact=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agexact,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[k],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */ |
cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
} |
}else{ |
for (k=1; k<=nsq;k++) { /* For single varying covariates only */ |
cov[2+nagesqr+k1]=precov[nres][k1]; |
/* Here comes the value of quantitative after renumbering k with single quantitative covariates */ |
} |
cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; |
}/* End of loop on model equation */ |
/* printf("hPxij Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */ |
/** End of new code */ |
} |
/** This was old code */ |
for (k=1; k<=cptcovage;k++){ /* Should start at cptcovn+1 *//* For product with age */ |
/* for (k=1; k<=nsd;k++){ /\* For single dummy covariates only *\//\* cptcovn error *\/ */ |
/* if(Dummy[Tvar[Tage[k]]]== 2){ /\* dummy with age error!!!*\/ */ |
/* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; *\/ */ |
if(Dummy[Tage[k]]== 2){ /* dummy with age */ |
/* /\* /\\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; *\\/ *\/ */ |
cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
/* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,TvarsD[k])];/\* Bug valgrind *\/ */ |
} else if(Dummy[Tage[k]]== 3){ /* quantitative with age */ |
/* /\* printf("hbxij Dummy agexact=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agexact,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[k],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); *\/ */ |
cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; |
/* } */ |
} |
/* for (k=1; k<=nsq;k++) { /\* For single varying covariates only *\/ */ |
/* printf("hBxij Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */ |
/* /\* Here comes the value of quantitative after renumbering k with single quantitative covariates *\/ */ |
} |
/* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; */ |
for (k=1; k<=cptcovprod;k++){ /* Useless because included in cptcovn */ |
/* /\* printf("hPxij Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); *\/ */ |
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; |
/* } */ |
} |
/* for (k=1; k<=cptcovage;k++){ /\* Should start at cptcovn+1 *\//\* For product with age *\/ */ |
/*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/ |
/* /\* if(Dummy[Tvar[Tage[k]]]== 2){ /\\* dummy with age error!!!*\\/ *\/ */ |
/*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/ |
/* if(Dummy[Tage[k]]== 2){ /\* dummy with age *\/ */ |
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/* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]*cov[2]; */ |
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/* } else if(Dummy[Tage[k]]== 3){ /\* quantitative with age *\/ */ |
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/* cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; */ |
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/* } */ |
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/* /\* printf("hBxij Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); *\/ */ |
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/* } */ |
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/* for (k=1; k<=cptcovprod;k++){ /\* Useless because included in cptcovn *\/ */ |
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/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]*nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ |
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/* if(Dummy[Tvard[k][1]]==0){ */ |
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/* if(Dummy[Tvard[k][2]]==0){ */ |
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/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][1])]; */ |
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/* }else{ */ |
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/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * Tqresult[nres][k]; */ |
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/* } */ |
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/* }else{ */ |
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/* if(Dummy[Tvard[k][2]]==0){ */ |
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/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])] * Tqinvresult[nres][Tvard[k][1]]; */ |
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/* }else{ */ |
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/* cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; */ |
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/* } */ |
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/* } */ |
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/* } */ |
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/* /\*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*\/ */ |
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/* /\*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*\/ */ |
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/** End of old code */ |
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/* Careful transposed matrix */ |
/* Careful transposed matrix */ |
/* age is in cov[2], prevacurrent at beginning of transition. */ |
/* age is in cov[2], prevacurrent at beginning of transition. */ |
/* out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij),\ */ |
/* out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij),\ */ |
/* 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); */ |
/* 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); */ |
out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent,ij),\ |
out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent,ij),\ |
1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); |
1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);/* Bug valgrind */ |
/* if((int)age == 70){ */ |
/* if((int)age == 70){ */ |
/* printf(" Backward hbxij age=%d agexact=%f d=%d nhstepm=%d hstepm=%d\n", (int) age, agexact, d, nhstepm, hstepm); */ |
/* printf(" Backward hbxij age=%d agexact=%f d=%d nhstepm=%d hstepm=%d\n", (int) age, agexact, d, nhstepm, hstepm); */ |
/* for(i=1; i<=nlstate+ndeath; i++) { */ |
/* for(i=1; i<=nlstate+ndeath; i++) { */ |
Line 4693 void freqsummary(char fileres[], double
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Line 4907 void freqsummary(char fileres[], double
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int *Tvaraff, int *invalidvarcomb, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[], \ |
int *Tvaraff, int *invalidvarcomb, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[], \ |
int firstpass, int lastpass, int stepm, int weightopt, char model[]) |
int firstpass, int lastpass, int stepm, int weightopt, char model[]) |
{ /* Some frequencies as well as proposing some starting values */ |
{ /* Some frequencies as well as proposing some starting values */ |
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/* Frequencies of any combination of dummy covariate used in the model equation */ |
int i, m, jk, j1, bool, z1,j, nj, nl, k, iv, jj=0, s1=1, s2=1; |
int i, m, jk, j1, bool, z1,j, nj, nl, k, iv, jj=0, s1=1, s2=1; |
int iind=0, iage=0; |
int iind=0, iage=0; |
int mi; /* Effective wave */ |
int mi; /* Effective wave */ |
Line 4762 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 4976 Title=%s <br>Datafile=%s Firstpass=%d La
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/* j=ncoveff; /\* Only fixed dummy covariates *\/ */ |
/* j=ncoveff; /\* Only fixed dummy covariates *\/ */ |
j=cptcoveff; /* Only dummy covariates of the model */ |
j=cptcoveff; /* Only dummy covariates of the model */ |
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/* j=cptcovn; /\* Only dummy covariates of the model *\/ */ |
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
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Line 4769 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 4984 Title=%s <br>Datafile=%s Firstpass=%d La
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reference=low_education V1=0,V2=0 |
reference=low_education V1=0,V2=0 |
med_educ V1=1 V2=0, |
med_educ V1=1 V2=0, |
high_educ V1=0 V2=1 |
high_educ V1=0 V2=1 |
Then V1=1 and V2=1 is a noisy combination that we want to exclude for the list 2**cptcoveff |
Then V1=1 and V2=1 is a noisy combination that we want to exclude for the list 2**cptcovn |
*/ |
*/ |
dateintsum=0; |
dateintsum=0; |
k2cpt=0; |
k2cpt=0; |
Line 4781 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 4996 Title=%s <br>Datafile=%s Firstpass=%d La
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|
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/* 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**cptcoveff) covariate combination |
* Loop on j1(1 to 2**cptcovn) 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 4806 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 5021 Title=%s <br>Datafile=%s Firstpass=%d La
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if(nj==1) |
if(nj==1) |
j=0; /* First pass for the constant */ |
j=0; /* First pass for the constant */ |
else{ |
else{ |
j=cptcoveff; /* Other passes for the covariate values */ |
j=cptcovs; /* Other passes for the covariate values */ |
} |
} |
first=1; |
first=1; |
for (j1 = 1; j1 <= (int) pow(2,j); j1++){ /* Loop on all covariates combination of the model, 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 */ |
posproptt=0.; |
posproptt=0.; |
/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); |
/*printf("cptcovn=%d Tvaraff=%d", cptcovn,Tvaraff[1]); |
scanf("%d", i);*/ |
scanf("%d", i);*/ |
for (i=-5; i<=nlstate+ndeath; i++) |
for (i=-5; i<=nlstate+ndeath; i++) |
for (s2=-5; s2<=nlstate+ndeath; s2++) |
for (s2=-5; s2<=nlstate+ndeath; s2++) |
Line 4842 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 5057 Title=%s <br>Datafile=%s Firstpass=%d La
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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 (cptcoveff >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
if (cptcovn >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
for (z1=1; z1<=cptcoveff; z1++) { /* loops on covariates in the model */ |
for (z1=1; z1<=cptcovn; 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 */ |
/* }else */ /* TODO TODO codtabm(j1,z1) or codtabm(j1,Tvaraff[z1]]z1)*/ |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,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 */ |
/* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", |
/* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", */ |
bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1), |
/* bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1),*/ |
j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/ |
/* j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/ |
/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ |
/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ |
} /* Onlyf fixed */ |
} /* Onlyf fixed */ |
} /* end z1 */ |
} /* end z1 */ |
Line 4867 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 5082 Title=%s <br>Datafile=%s Firstpass=%d La
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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<=cptcoveff; z1++) { |
for (z1=1; z1<=cptcovn; z1++) { |
if( Fixed[Tmodelind[z1]]==1){ |
if( Fixed[Tmodelind[z1]]==1){ |
iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; |
iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; |
if (cotvar[m][iv][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) /* iv=1 to ntv, right modality. If 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. */ |
bool=0; /* not selected */ |
bool=0; /* not selected */ |
}else if( Fixed[Tmodelind[z1]]== 0) { /* fixed */ |
}else if( Fixed[Tmodelind[z1]]== 0) { /* fixed */ |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) { |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) { |
bool=0; |
bool=0; |
} |
} |
} |
} |
Line 4903 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 5118 Title=%s <br>Datafile=%s Firstpass=%d La
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freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
for (z1=1; z1<= nqfveff; z1++) { /* Quantitative variables, calculating mean on known values only */ |
for (z1=1; z1<= nqfveff; z1++) { /* Quantitative variables, calculating mean on known values only */ |
if(!isnan(covar[ncovcol+z1][iind])){ |
if(!isnan(covar[ncovcol+z1][iind])){ |
idq[z1]=idq[z1]+weight[iind]; |
idq[z1]=idq[z1]+weight[iind]; |
meanq[z1]+=covar[ncovcol+z1][iind]*weight[iind]; /* Computes mean of quantitative with selected filter */ |
meanq[z1]+=covar[ncovcol+z1][iind]*weight[iind]; /* Computes mean of quantitative with selected filter */ |
/* stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]*weight[iind]; *//*error*/ |
/* stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]*weight[iind]; *//*error*/ |
stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]; /* *weight[iind];*/ /* Computes mean of quantitative with selected filter */ |
stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]; /* *weight[iind];*/ /* Computes mean of quantitative with selected filter */ |
} |
} |
} |
} |
/* if((int)agev[m][iind] == 55) */ |
/* if((int)agev[m][iind] == 55) */ |
Line 4936 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5151 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(cptcoveff==0 && nj==1) /* no covariate and first pass */ |
if(cptcovn==0 && nj==1) /* no covariate and first pass */ |
pstamp(ficresp); |
pstamp(ficresp); |
if (cptcoveff>0 && j!=0){ |
if (cptcovn>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<=cptcoveff; z1++){ |
for (z1=1; z1<=cptcovs; z1++){ |
if(!FixedV[Tvaraff[z1]]){ |
if(!FixedV[Tvaraff[z1]]){ |
printf( "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,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,z1)]); |
fprintf(ficresp, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(ficresphtm, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtm, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(ficresphtmfr, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtmfr, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(ficlog, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficlog, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
}else{ |
}else{ |
printf( "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
printf( "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(ficresp, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresp, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(ficresphtm, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtm, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(ficresphtmfr, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtmfr, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(ficlog, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficlog, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
} |
} |
} |
} |
printf( "**********\n#"); |
printf( "**********\n#"); |
Line 4991 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 5206 Title=%s <br>Datafile=%s Firstpass=%d La
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/* } */ |
/* } */ |
|
|
fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">"); |
fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">"); |
if((cptcoveff==0 && nj==1)|| nj==2 ) /* no covariate and first pass */ |
if((cptcovn==0 && nj==1)|| nj==2 ) /* no covariate and first pass */ |
fprintf(ficresp, " Age"); |
fprintf(ficresp, " Age"); |
if(nj==2) for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, " V%d=%d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
if(nj==2) for (z1=1; z1<=cptcovn; 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((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp," Prev(%d) N(%d) N ",i,i); |
if((cptcovn==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((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp, "\n"); |
if((cptcovn==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 5066 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 5281 Title=%s <br>Datafile=%s Firstpass=%d La
|
} |
} |
|
|
/* Writing ficresp */ |
/* Writing ficresp */ |
if(cptcoveff==0 && nj==1){ /* no covariate and first pass */ |
if(cptcovn==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<=cptcoveff; z1++) fprintf(ficresp, " %d %d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcovn; 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 5088 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 5303 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(cptcoveff==0 && nj==1){ /* no covariate and first pass */ |
if(cptcovn==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 5097 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5312 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((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp," NaNq %.0f %.0f",prop[s1][iage],pospropta); |
if((cptcovn==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 5123 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 5338 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((cptcoveff==0 && nj==1)|| nj==2 ) { |
if((cptcovn==0 && nj==1)|| nj==2 ) { |
if(iage <= iagemax) |
if(iage <= iagemax) |
fprintf(ficresp,"\n"); |
fprintf(ficresp,"\n"); |
} |
} |
Line 5399 void prevalence(double ***probs, double
|
Line 5614 void prevalence(double ***probs, double
|
for (z1=1; z1<=cptcoveff; z1++){ |
for (z1=1; z1<=cptcoveff; z1++){ |
if( Fixed[Tmodelind[z1]]==1){ |
if( Fixed[Tmodelind[z1]]==1){ |
iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; |
iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; |
if (cotvar[m][iv][i]!= nbcode[Tvaraff[z1]][codtabm(j1,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 */ |
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) { |
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) { |
bool=0; |
bool=0; |
} |
} |
} |
} |
Line 5848 void concatwav(int wav[], int **dh, int
|
Line 6063 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; /*Number of total real effective covariates: effective |
*cptcov=ij; /* cptcov= Number of total real effective covariates: 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 5869 void concatwav(int wav[], int **dh, int
|
Line 6084 void concatwav(int wav[], int **dh, int
|
|
|
{ |
{ |
/* Health expectancies, no variances */ |
/* Health expectancies, no variances */ |
|
/* cij is the combination in the list of combination of dummy covariates */ |
|
/* strstart is a string of time at start of computing */ |
int i, j, nhstepm, hstepm, h, nstepm; |
int i, j, nhstepm, hstepm, h, nstepm; |
int nhstepma, nstepma; /* Decreasing with age */ |
int nhstepma, nstepma; /* Decreasing with age */ |
double age, agelim, hf; |
double age, agelim, hf; |
Line 5937 void concatwav(int wav[], int **dh, int
|
Line 6154 void concatwav(int wav[], int **dh, int
|
/* If stepm=6 months */ |
/* If stepm=6 months */ |
/* Computed by stepm unit matrices, product of hstepma matrices, stored |
/* Computed by stepm unit matrices, product of hstepma matrices, stored |
in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */ |
in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */ |
|
/* printf("HELLO evsij Entering hpxij age=%d cij=%d hstepm=%d x[1]=%f nres=%d\n",(int) age, cij, hstepm, x[1], nres); */ |
hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij, nres); |
hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij, nres); |
|
|
hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ |
hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ |
Line 6248 void concatwav(int wav[], int **dh, int
|
Line 6465 void concatwav(int wav[], int **dh, int
|
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 */ |
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
fprintf(ficresprobmorprev," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
fprintf(ficresprobmorprev," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[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,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 6791 void varprob(char optionfilefiname[], do
|
Line 7008 void varprob(char optionfilefiname[], do
|
int k2, l2, j1, z1; |
int k2, l2, j1, z1; |
int k=0, l; |
int k=0, l; |
int first=1, first1, first2; |
int first=1, first1, first2; |
|
int nres=0; /* New */ |
double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp; |
double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp; |
double **dnewm,**doldm; |
double **dnewm,**doldm; |
double *xp; |
double *xp; |
Line 6878 To be simple, these graphs help to under
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Line 7096 To be simple, these graphs help to under
|
tj = (int) pow(2,cptcoveff); |
tj = (int) pow(2,cptcoveff); |
if (cptcovn<1) {tj=1;ncodemax[1]=1;} |
if (cptcovn<1) {tj=1;ncodemax[1]=1;} |
j1=0; |
j1=0; |
for(j1=1; j1<=tj;j1++){ /* For each valid combination of covariates or only once*/ |
|
|
for(nres=1;nres <=nresult; nres++){ /* For each resultline */ |
|
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 \n", TKresult[nres], j1, nres, cptcovn, cptcoveff, tj); |
|
if(tj != 1 && TKresult[nres]!= j1) |
|
continue; |
|
|
|
/* for(j1=1; j1<=tj;j1++){ /\* For each valid combination of covariates or only once*\/ */ |
|
/* for(nres=1;nres <=1; nres++){ /\* For each resultline *\/ */ |
|
/* /\* for(nres=1;nres <=nresult; nres++){ /\\* For each resultline *\\/ *\/ */ |
if (cptcovn>0) { |
if (cptcovn>0) { |
fprintf(ficresprob, "\n#********** Variable "); |
fprintf(ficresprob, "\n#********** Variable "); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(ficresprob, "**********\n#\n"); |
fprintf(ficresprob, "**********\n#\n"); |
fprintf(ficresprobcov, "\n#********** Variable "); |
fprintf(ficresprobcov, "\n#********** Variable "); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(ficresprobcov, "**********\n#\n"); |
fprintf(ficresprobcov, "**********\n#\n"); |
|
|
fprintf(ficgp, "\n#********** Variable "); |
fprintf(ficgp, "\n#********** Variable "); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(ficgp, "**********\n#\n"); |
fprintf(ficgp, "**********\n#\n"); |
|
|
|
|
fprintf(fichtmcov, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable "); |
fprintf(fichtmcov, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable "); |
/* for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); */ |
/* for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); */ |
for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtmcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtmcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">"); |
fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">"); |
|
|
fprintf(ficresprobcor, "\n#********** Variable "); |
fprintf(ficresprobcor, "\n#********** Variable "); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
fprintf(ficresprobcor, "**********\n#"); |
fprintf(ficresprobcor, "**********\n#"); |
if(invalidvarcomb[j1]){ |
if(invalidvarcomb[j1]){ |
fprintf(ficgp,"\n#Combination (%d) ignored because no cases \n",j1); |
fprintf(ficgp,"\n#Combination (%d) ignored because no cases \n",j1); |
Line 6914 To be simple, these graphs help to under
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Line 7141 To be simple, these graphs help to under
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cov[2]=age; |
cov[2]=age; |
if(nagesqr==1) |
if(nagesqr==1) |
cov[3]= age*age; |
cov[3]= age*age; |
for (k=1; k<=cptcovn;k++) { |
/* for (k=1; k<=cptcovn;k++) { */ |
cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)]; |
/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)]; */ |
|
for (k=1; k<=nsd;k++) { /* For single dummy covariates only */ |
|
/* Here comes the value of the covariate 'j1' after renumbering k with single dummy covariates */ |
|
cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(j1,TnsdVar[TvarsD[k]])]; |
/*cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];*//* j1 1 2 3 4 |
/*cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];*//* j1 1 2 3 4 |
* 1 1 1 1 1 |
* 1 1 1 1 1 |
* 2 2 1 1 1 |
* 2 2 1 1 1 |
Line 6926 To be simple, these graphs help to under
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Line 7156 To be simple, these graphs help to under
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/* 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 */ |
/* ) p nbcode[Tvar[Tage[k]]][(1 & (ij-1) >> (k-1))+1] */ |
/* ) p nbcode[Tvar[Tage[k]]][(1 & (ij-1) >> (k-1))+1] */ |
/*for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ |
/*for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ |
for (k=1; k<=cptcovage;k++) |
for (k=1; k<=cptcovage;k++){ /* For product with age */ |
cov[2+Tage[k]+nagesqr]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
if(Dummy[Tage[k]]==2){ /* dummy with age */ |
for (k=1; k<=cptcovprod;k++) |
cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(j1,TnsdVar[Tvar[Tage[k]]])]*cov[2]; |
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; |
/* cov[++k1]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; */ |
|
} else if(Dummy[Tage[k]]==3){ /* quantitative with age */ |
|
printf("Internal IMaCh error, don't know which value for quantitative covariate with age, Tage[k]%d, k=%d, Tvar[Tage[k]]=V%d, age=%d\n",Tage[k],k ,Tvar[Tage[k]], (int)cov[2]); |
|
/* cov[2+nagesqr+Tage[k]]=meanq[k]/idq[k]*cov[2];/\* Using the mean of quantitative variable Tvar[Tage[k]] /\* Tqresult[nres][k]; *\/ */ |
|
/* exit(1); */ |
|
/* cov[++k1]=Tqresult[nres][k]; */ |
|
} |
|
/* cov[2+Tage[k]+nagesqr]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; */ |
|
} |
|
for (k=1; k<=cptcovprod;k++){/* For product without age */ |
|
if(Dummy[Tvard[k][1]]==0){ |
|
if(Dummy[Tvard[k][2]]==0){ |
|
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(j1,TnsdVar[Tvard[k][1]])] * nbcode[Tvard[k][2]][codtabm(j1,TnsdVar[Tvard[k][2]])]; |
|
/* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; */ |
|
}else{ /* Should we use the mean of the quantitative variables? */ |
|
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(j1,TnsdVar[Tvard[k][1]])] * Tqresult[nres][resultmodel[nres][k]]; |
|
/* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; */ |
|
} |
|
}else{ |
|
if(Dummy[Tvard[k][2]]==0){ |
|
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(j1,TnsdVar[Tvard[k][2]])] * Tqinvresult[nres][TnsdVar[Tvard[k][1]]]; |
|
/* cov[++k1]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; */ |
|
}else{ |
|
cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][TnsdVar[Tvard[k][1]]]* Tqinvresult[nres][TnsdVar[Tvard[k][2]]]; |
|
/* cov[++k1]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; */ |
|
} |
|
} |
|
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; */ |
|
} |
|
/* For each age and combination of dummy covariates we slightly move the parameters of delti in order to get the gradient*/ |
for(theta=1; theta <=npar; theta++){ |
for(theta=1; theta <=npar; theta++){ |
for(i=1; i<=npar; i++) |
for(i=1; i<=npar; i++) |
xp[i] = x[i] + (i==theta ?delti[theta]:(double)0); |
xp[i] = x[i] + (i==theta ?delti[theta]:(double)0); |
Line 7117 To be simple, these graphs help to under
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Line 7374 To be simple, these graphs help to under
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} /*l1 */ |
} /*l1 */ |
}/* k1 */ |
}/* k1 */ |
} /* loop on combination of covariates j1 */ |
} /* loop on combination of covariates j1 */ |
|
} /* loop on nres */ |
free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage); |
free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage); |
free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage); |
free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage); |
free_matrix(doldm,1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath)); |
free_matrix(doldm,1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath)); |
Line 7147 void printinghtml(char fileresu[], char
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Line 7405 void printinghtml(char fileresu[], char
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fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n"); |
fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n"); |
fprintf(fichtm,"<li>- Observed frequency between two states (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> (html file)<br/>\n", |
fprintf(fichtm,"<li>- Observed frequency between two states (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> (html file)<br/>\n", |
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTMFR_",".htm"),subdirfext3(optionfilefiname,"PHTMFR_",".htm")); |
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTMFR_",".htm"),subdirfext3(optionfilefiname,"PHTMFR_",".htm")); |
fprintf(fichtm,"<li> - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> (html file) ", |
fprintf(fichtm,"<li> - Observed prevalence (cross-sectional prevalence) in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> (html file) ", |
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTM_",".htm"),subdirfext3(optionfilefiname,"PHTM_",".htm")); |
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTM_",".htm"),subdirfext3(optionfilefiname,"PHTM_",".htm")); |
fprintf(fichtm,", <a href=\"%s\">%s</a> (text file) <br>\n",subdirf2(fileresu,"P_"),subdirf2(fileresu,"P_")); |
fprintf(fichtm,", <a href=\"%s\">%s</a> (text file) <br>\n",subdirf2(fileresu,"P_"),subdirf2(fileresu,"P_")); |
fprintf(fichtm,"\ |
fprintf(fichtm,"\ |
Line 7266 divided by h: <sub>h</sub>P<sub>ij</sub>
|
Line 7524 divided by h: <sub>h</sub>P<sub>ij</sub>
|
<img src=\"%s_%d-3-%d.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres); |
<img src=\"%s_%d-3-%d.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres); |
/* Survival functions (period) in state j */ |
/* Survival functions (period) in state j */ |
for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
fprintf(fichtm,"<br>\n- Survival functions in state %d. And probability to be observed in state %d being in state (1 to %d) at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Survival functions in state %d. And probability to be observed in state %d being in state (1 to %d) at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br>", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres); |
<img src=\"%s_%d-%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres); |
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,"LIJ_"),cpt,k1,nres); |
} |
} |
/* State specific survival functions (period) */ |
/* State specific survival functions (period) */ |
for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
fprintf(fichtm,"<br>\n- Survival functions in state %d and in any other live state (total).\ |
fprintf(fichtm,"<br>\n- Survival functions in state %d and in any other live state (total).\ |
And probability to be observed in various states (up to %d) being in state %d at different ages. \ |
And probability to be observed in various states (up to %d) being in state %d at different ages. \ |
<a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> <img src=\"%s_%d-%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres); |
<a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> ", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres); |
|
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,"LIJT_"),cpt,k1,nres); |
} |
} |
/* 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> \ |
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); |
<img src=\"%s_%d-%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"P_"),subdirf2(optionfilefiname,"P_")); |
|
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 */ |
Line 7541 void printinggnuplot(char fileresu[], ch
|
Line 7803 void printinggnuplot(char fileresu[], ch
|
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<=cptcoveff; 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 */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the value of the covariate corresponding to k1 combination *\/ */ |
|
lv=codtabm(k1,TnsdVar[Tvaraff[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 */ |
Line 7594 void printinggnuplot(char fileresu[], ch
|
Line 7857 void printinggnuplot(char fileresu[], ch
|
}else{ |
}else{ |
kl=0; |
kl=0; |
for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ |
for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to k1 combination and kth covariate *\/ */ |
|
lv=codtabm(k1,TnsdVar[Tvaraff[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 */ |
Line 7622 void printinggnuplot(char fileresu[], ch
|
Line 7886 void printinggnuplot(char fileresu[], ch
|
}else{ |
}else{ |
kl=0; |
kl=0; |
for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ |
for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to k1 combination and kth covariate *\/ */ |
|
lv=codtabm(k1,TnsdVar[Tvaraff[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]; |
/* vlv= nbcode[Tvaraff[k]][lv]; */ |
|
vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
kl++; |
kl++; |
/* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ |
/* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ |
/*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ |
/*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ |
Line 7636 void printinggnuplot(char fileresu[], ch
|
Line 7902 void printinggnuplot(char fileresu[], ch
|
fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' w l lt 3",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ |
fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' w l lt 3",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ |
2+cptcoveff*2+(cpt-1), cpt ); /* 4 or 6 ?*/ |
2+cptcoveff*2+(cpt-1), cpt ); /* 4 or 6 ?*/ |
}else{ |
}else{ |
fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]); |
fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]); |
kl++; |
kl++; |
} |
} |
} /* end covariate */ |
} /* end covariate */ |
Line 7676 void printinggnuplot(char fileresu[], ch
|
Line 7942 void printinggnuplot(char fileresu[], ch
|
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<=cptcoveff; k++){ /* For each covariate and each value */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */ |
|
lv=codtabm(k1,TnsdVar[Tvaraff[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]; |
/* vlv= nbcode[Tvaraff[k]][lv]; */ |
|
vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
} |
} |
Line 7739 void printinggnuplot(char fileresu[], ch
|
Line 8007 void printinggnuplot(char fileresu[], ch
|
if(m != 1 && TKresult[nres]!= k1) |
if(m != 1 && TKresult[nres]!= k1) |
continue; |
continue; |
|
|
for (cpt=1; cpt<= nlstate ; cpt ++) { |
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<=cptcoveff; k++){ /* For each covariate and each value */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */ |
|
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(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
vlv= nbcode[Tvaraff[k]][lv]; |
/* vlv= nbcode[Tvaraff[k]][lv]; */ |
|
vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
sprintf(gplotlabel+strlen(gplotlabel)," 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 */ |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
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][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"); |
Line 7797 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 8067 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
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 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<=cptcoveff; k++){ /* For each covariate and each value */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
lv=codtabm(k1,TnsdVar[Tvaraff[k]]); |
|
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
vlv= nbcode[Tvaraff[k]][lv]; |
/* vlv= nbcode[Tvaraff[k]][lv]; */ |
|
vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
sprintf(gplotlabel+strlen(gplotlabel)," 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 */ |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[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 7848 set ter svg size 640, 480\nunset log y\n
|
Line 8120 set ter svg size 640, 480\nunset log y\n
|
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<=cptcoveff; k++){ /* For each covariate and each value */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
lv=codtabm(k1,TnsdVar[Tvaraff[k]]); |
|
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
vlv= nbcode[Tvaraff[k]][lv]; |
/* vlv= nbcode[Tvaraff[k]][lv]; */ |
|
vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
sprintf(gplotlabel+strlen(gplotlabel)," 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 */ |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[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 7907 set ter svg size 640, 480\nunset log y\n
|
Line 8181 set ter svg size 640, 480\nunset log y\n
|
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<=cptcoveff; k++){ /* For each covariate and each value */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */ |
|
lv=codtabm(k1,TnsdVar[Tvaraff[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]; |
/* vlv= nbcode[Tvaraff[k]][lv]; */ |
|
vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
sprintf(gplotlabel+strlen(gplotlabel)," 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 */ |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[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 7958 set ter svg size 640, 480\nunset log y\n
|
Line 8234 set ter svg size 640, 480\nunset log y\n
|
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<=cptcoveff; k++){ /* For each covariate and each value */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */ |
|
lv=codtabm(k1,TnsdVar[Tvaraff[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]; |
/* vlv= nbcode[Tvaraff[k]][lv]; */ |
|
vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
sprintf(gplotlabel+strlen(gplotlabel)," 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 */ |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[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 7989 set ter svg size 640, 480\nunset log y\n
|
Line 8267 set ter svg size 640, 480\nunset log y\n
|
fprintf(ficgp,", '' "); |
fprintf(ficgp,", '' "); |
/* l=(nlstate+ndeath)*(i-1)+1; */ |
/* l=(nlstate+ndeath)*(i-1)+1; */ |
l=(nlstate+ndeath)*(cpt-1)+1; /* fixed for i; cpt=1 1, cpt=2 1+ nlstate+ndeath, 1+2*(nlstate+ndeath) */ |
l=(nlstate+ndeath)*(cpt-1)+1; /* fixed for i; cpt=1 1, cpt=2 1+ nlstate+ndeath, 1+2*(nlstate+ndeath) */ |
/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier *\/ */ |
/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier *\/ */ |
/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier *\/ */ |
/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier *\/ */ |
fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+i-1); /* To be verified */ |
fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+i-1); /* To be verified */ |
/* for (j=2; j<= nlstate ; j ++) */ |
/* for (j=2; j<= nlstate ; j ++) */ |
/* fprintf(ficgp,"+$%d",k+l+j-1); */ |
/* fprintf(ficgp,"+$%d",k+l+j-1); */ |
Line 8014 set ter svg size 640, 480\nunset log y\n
|
Line 8292 set ter svg size 640, 480\nunset log y\n
|
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<=cptcoveff; k++){ /* For each correspondig covariate value */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to k1 combination and kth covariate *\/ */ |
|
lv=codtabm(k1,TnsdVar[Tvaraff[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]; |
/* vlv= nbcode[Tvaraff[k]][lv]; */ |
|
vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
sprintf(gplotlabel+strlen(gplotlabel)," 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 */ |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[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 8080 set ter svg size 640, 480\nunset log y\n
|
Line 8360 set ter svg size 640, 480\nunset log y\n
|
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]]); |
/* 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]])]; |
kl++; |
kl++; |
sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); |
sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); |
kl++; |
kl++; |
Line 8127 set ter svg size 640, 480\nunset log y\n
|
Line 8409 set ter svg size 640, 480\nunset log y\n
|
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<=cptcoveff; k++){ /* For each correspondig covariate value */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to k1 combination and kth covariate *\/ */ |
|
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(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
vlv= nbcode[Tvaraff[k]][lv]; |
/* vlv= nbcode[Tvaraff[k]][lv]; */ |
|
vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
sprintf(gplotlabel+strlen(gplotlabel)," 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 */ |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[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 8193 set ter svg size 640, 480\nunset log y\n
|
Line 8477 set ter svg size 640, 480\nunset log y\n
|
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]]); /* Should be the covariate value corresponding to combination k1 and covariate k */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
vlv= nbcode[Tvaraff[k]][lv]; /* Value of the modality of Tvaraff[k] */ |
/* vlv= nbcode[Tvaraff[k]][lv]; /\* Value of the modality of Tvaraff[k] *\/ */ |
|
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]); |
kl++; |
kl++; |
Line 8278 set ter svg size 640, 480\nunset log y\n
|
Line 8564 set ter svg size 640, 480\nunset log y\n
|
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<=cptcoveff; k++){ /* For each correspondig covariate value */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to k1 combination and kth covariate *\/ */ |
|
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(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
vlv= nbcode[Tvaraff[k]][lv]; |
/* vlv= nbcode[Tvaraff[k]][lv]; */ |
|
vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
sprintf(gplotlabel+strlen(gplotlabel)," 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 */ |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[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 8339 set ter svg size 640, 480\nunset log y\n
|
Line 8627 set ter svg size 640, 480\nunset log y\n
|
/* for(j=3; j <=ncovmodel-nagesqr; j++) { */ |
/* for(j=3; j <=ncovmodel-nagesqr; j++) { */ |
for(j=1; j <=cptcovt; j++) { /* For each covariate of the simplified model */ |
for(j=1; j <=cptcovt; j++) { /* For each covariate of the simplified model */ |
/* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */ |
/* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */ |
if(cptcovage >0){ /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */ |
switch(Typevar[j]){ |
if(j==Tage[ij]) { /* Product by age To be looked at!!*/ |
case 1: |
if(ij <=cptcovage) { /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */ |
if(cptcovage >0){ /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */ |
if(DummyV[j]==0){ |
if(j==Tage[ij]) { /* Product by age To be looked at!!*//* Bug valgrind */ |
fprintf(ficgp,"+p%d*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);; |
if(ij <=cptcovage) { /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */ |
}else{ /* quantitative */ |
if(DummyV[j]==0){/* Bug valgrind */ |
fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */ |
fprintf(ficgp,"+p%d*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);; |
/* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
}else{ /* quantitative */ |
|
fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */ |
|
/* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
|
} |
|
ij++; |
} |
} |
ij++; |
|
} |
} |
} |
} |
}else if(cptcovprod >0){ |
break; |
if(j==Tprod[ijp]) { /* */ |
case 2: |
/* printf("Tprod[%d]=%d, j=%d\n", ij, Tprod[ijp], j); */ |
if(cptcovprod >0){ |
if(ijp <=cptcovprod) { /* Product */ |
if(j==Tprod[ijp]) { /* */ |
if(DummyV[Tvard[ijp][1]]==0){/* Vn is dummy */ |
/* printf("Tprod[%d]=%d, j=%d\n", ij, Tprod[ijp], j); */ |
if(DummyV[Tvard[ijp][2]]==0){/* Vn and Vm are dummy */ |
if(ijp <=cptcovprod) { /* Product */ |
/* 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)]); */ |
if(DummyV[Tvard[ijp][1]]==0){/* Vn is dummy */ |
fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]); |
if(DummyV[Tvard[ijp][2]]==0){/* Vn and Vm are dummy */ |
}else{ /* Vn is dummy and Vm is quanti */ |
/* 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*%f",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],Tqinvresult[nres][Tvard[ijp][2]]); */ |
fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]); |
fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[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]]); */ |
}else{ /* Vn*Vm Vn is quanti */ |
fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); |
if(DummyV[Tvard[ijp][2]]==0){ |
} |
fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][2]],Tqinvresult[nres][Tvard[ijp][1]]); |
}else{ /* Vn*Vm Vn is quanti */ |
}else{ /* Both quanti */ |
if(DummyV[Tvard[ijp][2]]==0){ |
fprintf(ficgp,"+p%d*%f*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); |
fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][2]],Tqinvresult[nres][Tvard[ijp][1]]); |
|
}else{ /* Both quanti */ |
|
fprintf(ficgp,"+p%d*%f*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); |
|
} |
} |
} |
|
ijp++; |
} |
} |
ijp++; |
} /* end Tprod */ |
} |
} |
} /* end Tprod */ |
break; |
} else{ /* simple covariate */ |
case 0: |
|
/* 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 *\/ */ |
if(Dummy[j]==0){ |
if(Dummy[j]==0){ |
fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); /* */ |
fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); /* */ |
Line 8381 set ter svg size 640, 480\nunset log y\n
|
Line 8677 set ter svg size 640, 480\nunset log y\n
|
fprintf(ficgp,"+p%d*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* */ |
fprintf(ficgp,"+p%d*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* */ |
/* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
/* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
} |
} |
} /* end simple */ |
/* end simple */ |
|
break; |
|
default: |
|
break; |
|
} /* end switch */ |
} /* end j */ |
} /* end j */ |
}else{ |
}else{ /* k=k2 */ |
i=i-ncovmodel; |
if(ng !=1 ){ /* For logit formula of log p11 is more difficult to get */ |
if(ng !=1 ) /* For logit formula of log p11 is more difficult to get */ |
fprintf(ficgp," (1.");i=i-ncovmodel; |
fprintf(ficgp," (1."); |
}else |
|
i=i-ncovmodel; |
} |
} |
|
|
if(ng != 1){ |
if(ng != 1){ |
Line 8399 set ter svg size 640, 480\nunset log y\n
|
Line 8700 set ter svg size 640, 480\nunset log y\n
|
fprintf(ficgp,"+exp(p%d+p%d*x+p%d*x*x",k3+(cpt-1)*ncovmodel,k3+(cpt-1)*ncovmodel+1,k3+(cpt-1)*ncovmodel+1+nagesqr); |
fprintf(ficgp,"+exp(p%d+p%d*x+p%d*x*x",k3+(cpt-1)*ncovmodel,k3+(cpt-1)*ncovmodel+1,k3+(cpt-1)*ncovmodel+1+nagesqr); |
|
|
ij=1; |
ij=1; |
for(j=3; j <=ncovmodel-nagesqr; j++){ |
ijp=1; |
if(cptcovage >0){ |
/* for(j=3; j <=ncovmodel-nagesqr; j++){ */ |
if((j-2)==Tage[ij]) { /* Bug valgrind */ |
for(j=1; j <=cptcovt; j++) { /* For each covariate of the simplified model */ |
if(ij <=cptcovage) { /* Bug valgrind */ |
switch(Typevar[j]){ |
fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]); |
case 1: |
/* fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
if(cptcovage >0){ |
ij++; |
if(j==Tage[ij]) { /* Bug valgrind */ |
} |
if(ij <=cptcovage) { /* Bug valgrind */ |
} |
if(DummyV[j]==0){/* Bug valgrind */ |
}else |
/* fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]); */ |
fprintf(ficgp,"+p%d*%d",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);/* Valgrind bug nbcode */ |
/* fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j+nagesqr,nbcode[Tvar[j]][codtabm(k1,j)]); */ |
|
fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvar[j]]); |
|
/* fprintf(ficgp,"+p%d*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);; */ |
|
/* fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
|
}else{ /* quantitative */ |
|
/* fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /\* Tqinvresult in decoderesult *\/ */ |
|
fprintf(ficgp,"+p%d*%f*x",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */ |
|
/* fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /\* Tqinvresult in decoderesult *\/ */ |
|
/* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
|
} |
|
ij++; |
|
} |
|
} |
|
} |
|
break; |
|
case 2: |
|
if(cptcovprod >0){ |
|
if(j==Tprod[ijp]) { /* */ |
|
/* printf("Tprod[%d]=%d, j=%d\n", ij, Tprod[ijp], j); */ |
|
if(ijp <=cptcovprod) { /* Product */ |
|
if(DummyV[Tvard[ijp][1]]==0){/* Vn is dummy */ |
|
if(DummyV[Tvard[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",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[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",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); |
|
/* fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); */ |
|
} |
|
}else{ /* Vn*Vm Vn is quanti */ |
|
if(DummyV[Tvard[ijp][2]]==0){ |
|
fprintf(ficgp,"+p%d*%d*%f",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvard[ijp][2]],Tqinvresult[nres][Tvard[ijp][1]]); |
|
/* fprintf(ficgp,"+p%d*%d*%f",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][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); |
|
/* fprintf(ficgp,"+p%d*%f*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); */ |
|
} |
|
} |
|
ijp++; |
|
} |
|
} /* end Tprod */ |
|
} /* end if */ |
|
break; |
|
case 0: |
|
/* simple covariate */ |
|
/* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(k1,j)]); /\* Valgrind bug nbcode *\/ */ |
|
if(Dummy[j]==0){ |
|
/* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); /\* *\/ */ |
|
fprintf(ficgp,"+p%d*%d",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvar[j]]); /* */ |
|
/* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); /\* *\/ */ |
|
}else{ /* quantitative */ |
|
fprintf(ficgp,"+p%d*%f",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tqinvresult[nres][Tvar[j]]); /* */ |
|
/* fprintf(ficgp,"+p%d*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /\* *\/ */ |
|
/* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
|
} |
|
/* end simple */ |
|
/* fprintf(ficgp,"+p%d*%d",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);/\* Valgrind bug nbcode *\/ */ |
|
break; |
|
default: |
|
break; |
|
} /* end switch */ |
} |
} |
fprintf(ficgp,")"); |
fprintf(ficgp,")"); |
} |
} |
Line 8418 set ter svg size 640, 480\nunset log y\n
|
Line 8780 set ter svg size 640, 480\nunset log y\n
|
fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"p%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k); |
fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"p%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k); |
else /* ng= 3 */ |
else /* ng= 3 */ |
fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"i%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k); |
fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"i%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k); |
}else{ /* end ng <> 1 */ |
}else{ /* end ng <> 1 */ |
if( k !=k2) /* logit p11 is hard to draw */ |
if( k !=k2) /* logit p11 is hard to draw */ |
fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"logit(p%d%d)\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k); |
fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"logit(p%d%d)\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k); |
} |
} |
Line 8754 void prevforecast(char fileres[], double
|
Line 9116 void prevforecast(char fileres[], double
|
|
|
/* 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++){ |
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(i1 != 1 && TKresult[nres]!= k) |
if(i1 != 1 && TKresult[nres]!= k) |
continue; |
continue; |
if(invalidvarcomb[k]){ |
if(invalidvarcomb[k]){ |
Line 8763 void prevforecast(char fileres[], double
|
Line 9125 void prevforecast(char fileres[], double
|
} |
} |
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<=cptcoveff;j++) { |
fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,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 */ |
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=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
Line 8793 void prevforecast(char fileres[], double
|
Line 9156 void prevforecast(char fileres[], double
|
} |
} |
fprintf(ficresf,"\n"); |
fprintf(ficresf,"\n"); |
for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcoveff;j++) |
fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
/* fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,Tvaraff[j])]); /\* Tvaraff not 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 8903 void prevforecast(char fileres[], double
|
Line 9267 void prevforecast(char fileres[], double
|
} |
} |
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<=cptcoveff;j++) { |
fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
} |
} |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
Line 8939 void prevforecast(char fileres[], double
|
Line 9303 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,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 8999 void prevforecast(char fileres[], double
|
Line 9363 void prevforecast(char fileres[], double
|
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(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<=cptcoveff;j++) { |
fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresvpl,"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,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,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][j]); |
printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
fprintf(ficresvpl," V%d=%f ",Tvqresult[nres][j],Tqresult[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][j]); |
fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
} |
} |
fprintf(ficresvpl,"******\n"); |
fprintf(ficresvpl,"******\n"); |
printf("******\n"); |
printf("******\n"); |
Line 9063 void prevforecast(char fileres[], double
|
Line 9427 void prevforecast(char fileres[], double
|
printf("\n#****** "); |
printf("\n#****** "); |
fprintf(ficlog,"\n#****** "); |
fprintf(ficlog,"\n#****** "); |
for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
fprintf(ficresvbl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresvbl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,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,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][j]); |
printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
fprintf(ficresvbl," V%d=%f ",Tvqresult[nres][j],Tqresult[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][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 9532 int readdata(char datafile[], int firsto
|
Line 9896 int readdata(char datafile[], int firsto
|
|
|
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; |
|
FixedV[v]=0; |
|
} |
|
|
for(v=1; v <=ncovcol;v++){ |
for(v=1; v <=ncovcol;v++){ |
DummyV[v]=0; |
DummyV[v]=0; |
Line 9891 void removefirstspace(char **stri){/*, c
|
Line 10259 void removefirstspace(char **stri){/*, c
|
*stri=p2; |
*stri=p2; |
} |
} |
|
|
int decoderesult ( char resultline[], int nres) |
int decoderesult( char resultline[], int nres) |
/**< This routine decode one result line and returns the combination # of dummy covariates only **/ |
/**< This routine decode one result line and returns the combination # of dummy covariates only **/ |
{ |
{ |
int j=0, k=0, k1=0, k2=0, k3=0, k4=0, match=0, k2q=0, k3q=0, k4q=0; |
int j=0, k=0, k1=0, k2=0, k3=0, k4=0, match=0, k2q=0, k3q=0, k4q=0; |
char resultsav[MAXLINE]; |
char resultsav[MAXLINE]; |
int resultmodel[MAXLINE]; |
/* int resultmodel[MAXLINE]; */ |
int modelresult[MAXLINE]; |
int modelresult[MAXLINE]; |
char stra[80], strb[80], strc[80], strd[80],stre[80]; |
char stra[80], strb[80], strc[80], strd[80],stre[80]; |
|
|
removefirstspace(&resultline); |
removefirstspace(&resultline); |
|
printf("decoderesult:%s\n",resultline); |
|
|
if (strstr(resultline,"v") !=0){ |
strcpy(resultsav,resultline); |
printf("Error. 'v' must be in upper case 'V' result: %s ",resultline); |
printf("Decoderesult resultsav=\"%s\" resultline=\"%s\"\n", resultsav, resultline); |
fprintf(ficlog,"Error. 'v' must be in upper case result: %s ",resultline);fflush(ficlog); |
|
return 1; |
|
} |
|
trimbb(resultsav, resultline); |
|
if (strlen(resultsav) >1){ |
if (strlen(resultsav) >1){ |
j=nbocc(resultsav,'='); /**< j=Number of covariate values'=' */ |
j=nbocc(resultsav,'='); /**< j=Number of covariate values'=' */ |
} |
} |
Line 9916 int decoderesult ( char resultline[], in
|
Line 10281 int decoderesult ( char resultline[], in
|
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 this result line, %d, differs from the number of variables used in the model line, %d.\n",j, cptcovs); |
printf("ERROR: the number of variables in the resultline which is %d, differs from the number %d of variables used in the model line, %s.\n",j, cptcovs, model); |
fprintf(ficlog,"ERROR: the number of variables in the resultline, %d, differs from the number of variables used in the model line, %d.\n",j, cptcovs); |
fprintf(ficlog,"ERROR: the number of variables in the resultline which is %d, differs from the number %d of variables used in the model line, %s.\n",j, cptcovs, model); |
|
/* 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){ |
cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' ' (stra is the rest of the resultline to be analyzed in the next loop *//* resultsav= "V4=1 V5=25.1 V3=0" stra= "V5=25.1 V3=0" strb= "V4=1" */ |
cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' ' (stra is the rest of the resultline to be analyzed in the next loop *//* resultsav= "V4=1 V5=25.1 V3=0" stra= "V5=25.1 V3=0" strb= "V4=1" */ |
|
/* If resultsav= "V4= 1 V5=25.1 V3=0" with a blank then strb="V4=" and stra="1 V5=25.1 V3=0" */ |
cutl(strc,strd,strb,'='); /* strb:"V4=1" strc="1" strd="V4" */ |
cutl(strc,strd,strb,'='); /* strb:"V4=1" strc="1" strd="V4" */ |
|
/* If a blank, then strc="V4=" and strd='\0' */ |
|
if(strc[0]=='\0'){ |
|
printf("Error in resultline, probably a blank after the \"%s\", \"result:%s\", stra=\"%s\" resultsav=\"%s\"\n",strb,resultline, stra, resultsav); |
|
fprintf(ficlog,"Error in resultline, probably a blank after the \"V%s=\", resultline=%s\n",strb,resultline); |
|
return 1; |
|
} |
}else |
}else |
cutl(strc,strd,resultsav,'='); |
cutl(strc,strd,resultsav,'='); |
Tvalsel[k]=atof(strc); /* 1 */ /* Tvalsel of k is the float value of the kth covariate appearing in this result line */ |
Tvalsel[k]=atof(strc); /* 1 */ /* Tvalsel of k is the float value of the kth covariate appearing in this result line */ |
Line 9935 int decoderesult ( char resultline[], in
|
Line 10308 int decoderesult ( char resultline[], in
|
strcpy(resultsav,stra); /* and analyzes it */ |
strcpy(resultsav,stra); /* and analyzes it */ |
} |
} |
/* Checking for missing or useless values in comparison of current model needs */ |
/* Checking for missing or useless values in comparison of current model needs */ |
|
/* Feeds resultmodel[nres][k1]=k2 for k1th product covariate with age in the model equation fed by the index k2 of the resutline*/ |
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 covariate in model *//*0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */ |
if(Typevar[k1]==0){ /* Single covariate in model */ |
|
/* 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */ |
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(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 */ |
Line 9946 int decoderesult ( char resultline[], in
|
Line 10321 int decoderesult ( char resultline[], in
|
} |
} |
} |
} |
if(match == 0){ |
if(match == 0){ |
printf("Error in result line: V%d is missing in result: %s according to model=%s\n",k1, resultline, model); |
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]); |
fprintf(ficlog,"Error in result line: V%d is missing in result: %s according to model=%s\n",k1, resultline, model); |
fprintf(ficlog,"Error in result line (Dummy single): V%d is missing in result: %s according to model=%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*/ |
} |
/* We feed resultmodel[k1]=k2; */ |
|
match=0; |
|
for(k2=1; k2 <=j;k2++){/* Loop on resultline. jth occurence of = signs in the result line. In result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
|
if(Tvar[k1]==Tvarsel[k2]) {/* Tvar is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */ |
|
modelresult[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 */ |
|
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 */ |
|
break; |
|
} |
|
} |
|
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]); |
|
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]); |
|
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*/ |
|
/* 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; |
|
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 */ |
|
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; */ |
|
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 */ |
|
} |
|
} |
|
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); |
|
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); |
|
return 1; |
|
} |
|
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 */ |
|
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;*/ |
|
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 */ |
|
break; |
|
} |
|
} |
|
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); |
|
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); |
|
return 1; |
|
} |
|
}/* End of testing */ |
|
}/* End loop cptcovt */ |
/* Checking for missing or useless values in comparison of current model needs */ |
/* Checking for missing or useless values in comparison of current model needs */ |
|
/* Feeds resultmodel[nres][k1]=k2 for single covariate (k1) in the model equation */ |
for(k2=1; k2 <=j;k2++){ /* Loop on resultline variables: result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
for(k2=1; k2 <=j;k2++){ /* Loop on resultline variables: result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
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 */ |
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 */ |
resultmodel[k1]=k2; /* k2th variable of the model corresponds to k1 variable of the model. 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 */ |
++match; |
++match; |
} |
} |
} |
} |
} |
} |
if(match == 0){ |
if(match == 0){ |
printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model); |
printf("Error in result line: variable V%d is missing in model; result: %s, model=%s\n",Tvarsel[k2], resultline, model); |
fprintf(ficlog,"Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model); |
fprintf(ficlog,"Error in result line: variable V%d is missing in model; result: %s, model=%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=%s\n",k2, resultline, model); |
Line 9976 int decoderesult ( char resultline[], in
|
Line 10399 int decoderesult ( char resultline[], in
|
|
|
/* We need to deduce which combination number is chosen and save quantitative values */ |
/* We need to deduce which combination number is chosen and save quantitative values */ |
/* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
/* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
/* result line V4=1 V5=25.1 V3=0 V2=8 V1=1 */ |
/* nres=1st result line: V4=1 V5=25.1 V3=0 V2=8 V1=1 */ |
/* should give a combination of dummy V4=1, V3=0, V1=1 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 5 + (1offset) = 6*/ |
/* should correspond to the combination 6 of dummy: V4=1, V3=0, V1=1 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 1*1 + 0*2 + 1*4 = 5 + (1offset) = 6*/ |
/* result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
/* nres=2nd result line: V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
/* should give a combination of dummy V4=1, V3=1, V1=0 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 3 + (1offset) = 4*/ |
/* should give a combination of dummy V4=1, V3=1, V1=0 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 3 + (1offset) = 4*/ |
/* 1 0 0 0 */ |
/* 1 0 0 0 */ |
/* 2 1 0 0 */ |
/* 2 1 0 0 */ |
/* 3 0 1 0 */ |
/* 3 0 1 0 */ |
/* 4 1 1 0 */ /* V4=1, V3=1, V1=0 */ |
/* 4 1 1 0 */ /* V4=1, V3=1, V1=0 (nres=2)*/ |
/* 5 0 0 1 */ |
/* 5 0 0 1 */ |
/* 6 1 0 1 */ /* V4=1, V3=0, V1=1 */ |
/* 6 1 0 1 */ /* V4=1, V3=0, V1=1 (nres=1)*/ |
/* 7 0 1 1 */ |
/* 7 0 1 1 */ |
/* 8 1 1 1 */ |
/* 8 1 1 1 */ |
/* V(Tvresult)=Tresult V4=1 V3=0 V1=1 Tresult[nres=1][2]=0 */ |
/* V(Tvresult)=Tresult V4=1 V3=0 V1=1 Tresult[nres=1][2]=0 */ |
/* V(Tvqresult)=Tqresult V5=25.1 V2=8 Tqresult[nres=1][1]=25.1 */ |
/* V(Tvqresult)=Tqresult V5=25.1 V2=8 Tqresult[nres=1][1]=25.1 */ |
/* V5*age V5 known which value for nres? */ |
/* V5*age V5 known which value for nres? */ |
/* Tqinvresult[2]=8 Tqinvresult[1]=25.1 */ |
/* Tqinvresult[2]=8 Tqinvresult[1]=25.1 */ |
for(k1=1, k=0, k4=0, k4q=0; k1 <=cptcovt;k1++){ /* loop on model line */ |
for(k1=1, k=0, k4=0, k4q=0; k1 <=cptcovt;k1++){ /* loop k1 on position in the model line (excluding product) */ |
if( Dummy[k1]==0 && Typevar[k1]==0 ){ /* Single dummy */ |
/* k counting number of combination of single dummies in the equation model */ |
k3= resultmodel[k1]; /* resultmodel[2(V4)] = 1=k3 */ |
/* k4 counting single dummies in the equation model */ |
k2=(int)Tvarsel[k3]; /* Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 */ |
/* k4q counting single quantitatives in the equation model */ |
k+=Tvalsel[k3]*pow(2,k4); /* Tvalsel[1]=1 */ |
if( Dummy[k1]==0 && Typevar[k1]==0 ){ /* Dummy and Single */ |
Tresult[nres][k4+1]=Tvalsel[k3];/* Tresult[nres][1]=1(V4=1) Tresult[nres][2]=0(V3=0) */ |
/* k4+1= 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)*/ |
|
/* Value in the (current nres) resultline of the variable at the k1th position in the model equation resultmodel[nres][k1]= k3 */ |
|
/* resultmodel[nres][k1]=k3: k1th position in the model correspond to the k3 position in the resultline */ |
|
/* k3 is the position in the nres result line of the k1th variable of the model equation */ |
|
/* Tvarsel[k3]: Name of the variable at the k3th position in the result line. */ |
|
/* Tvalsel[k3]: Value of the variable at the k3th position in the result line. */ |
|
/* Tresult[nres][result_position]= value of the dummy variable at the result_position in the nres resultline */ |
|
/* Tvresult[nres][result_position]= id of the dummy variable at the result_position in the nres resultline */ |
|
/* Tinvresult[nres][Name of a dummy variable]= value of the variable in the result line */ |
|
/* TinvDoQresult[nres][Name of a Dummy or Q variable]= value of the variable in the result line */ |
|
k3= resultmodel[nres][k1]; /* From position k1 in model get position k3 in result line */ |
|
/* nres=1 k1=2 resultmodel[2(V4)] = 1=k3 ; k1=3 resultmodel[3(V3)] = 2=k3*/ |
|
k2=(int)Tvarsel[k3]; /* from position k3 in resultline get name k2: nres=1 k1=2=>k3=1 Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 (V4); k1=3=>k3=2 Tvarsel[2]=3 (V3)*/ |
|
k+=Tvalsel[k3]*pow(2,k4); /* nres=1 k1=2 Tvalsel[1]=1 (V4=1); k1=3 k3=2 Tvalsel[2]=0 (V3=0) */ |
|
TinvDoQresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* Stores the value into the name of the variable. */ |
|
/* Tinvresult[nres][4]=1 */ |
|
Tresult[nres][k4+1]=Tvalsel[k3];/* Tresult[nres=2][1]=1(V4=1) Tresult[nres=2][2]=0(V3=0) */ |
Tvresult[nres][k4+1]=(int)Tvarsel[k3];/* Tvresult[nres][1]=4 Tvresult[nres][3]=1 */ |
Tvresult[nres][k4+1]=(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 */ |
printf("Decoderesult Dummy k=%d, V(k2=V%d)= Tvalsel[%d]=%d, 2**(%d)\n",k, k2, k3, (int)Tvalsel[k3], k4); |
precov[nres][k1]=Tvalsel[k3]; |
|
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 ){ /* Single quantitative */ |
}else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /* Quantitative and single */ |
k3q= resultmodel[k1]; /* resultmodel[1(V5)] = 25.1=k3q */ |
/* Tqresult[nres][result_position]= value of the variable at the result_position in the nres resultline */ |
k2q=(int)Tvarsel[k3q]; /* Tvarsel[resultmodel[1]]= Tvarsel[1] = 4=k2 */ |
/* Tvqresult[nres][result_position]= id of the variable at the result_position in the nres resultline */ |
|
/* Tqinvresult[nres][Name of a quantitative variable]= value of the variable in the result line */ |
|
k3q= resultmodel[nres][k1]; /* resultmodel[1(V5)] = 5 =k3q */ |
|
k2q=(int)Tvarsel[k3q]; /* Name of variable at k3q th position in the resultline */ |
|
/* Tvarsel[resultmodel[1]]= Tvarsel[1] = 4=k2 */ |
Tqresult[nres][k4q+1]=Tvalsel[k3q]; /* Tqresult[nres][1]=25.1 */ |
Tqresult[nres][k4q+1]=Tvalsel[k3q]; /* Tqresult[nres][1]=25.1 */ |
Tvqresult[nres][k4q+1]=(int)Tvarsel[k3q]; /* Tvqresult[nres][1]=5 */ |
Tvqresult[nres][k4q+1]=(int)Tvarsel[k3q]; /* Tvqresult[nres][1]=5 */ |
Tqinvresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */ |
Tqinvresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */ |
printf("Decoderesult Quantitative nres=%d, V(k2q=V%d)= Tvalsel[%d]=%d, Tvarsel[%d]=%f\n",nres, k2q, k3q, Tvarsel[k3q], k3q, Tvalsel[k3q]); |
TinvDoQresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */ |
|
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]); |
k4q++;; |
k4q++;; |
|
}else if( Dummy[k1]==2 ){ /* For dummy with age product */ |
|
/* Tvar[k1]; */ /* Age variable */ |
|
/* Wrong we want the value of variable name Tvar[k1] */ |
|
|
|
k3= resultmodel[nres][k1]; /* nres=1 k1=2 resultmodel[2(V4)] = 1=k3 ; k1=3 resultmodel[3(V3)] = 2=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]; /* Tinvresult[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 */ |
|
k3q= resultmodel[nres][k1]; /* resultmodel[1(V5)] = 25.1=k3q */ |
|
k2q=(int)Tvarsel[k3q]; /* Tvarsel[resultmodel[1]]= Tvarsel[1] = 4=k2 */ |
|
TinvDoQresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[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 ){ /* For product quant or dummy (not with age) */ |
|
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]]); |
|
}else{ |
|
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]); |
} |
} |
} |
} |
|
|
Line 10181 int decodemodel( char model[], int lasto
|
Line 10649 int decodemodel( char model[], int lasto
|
Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 */ |
Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 */ |
Tposprod[k]=k1; /* Tposprod[3]=1, Tposprod[2]=5 */ |
Tposprod[k]=k1; /* Tposprod[3]=1, Tposprod[2]=5 */ |
Tvard[k1][1] =atoi(strc); /* m 1 for V1*/ |
Tvard[k1][1] =atoi(strc); /* m 1 for V1*/ |
|
Tvardk[k][1] =atoi(strc); /* m 1 for V1*/ |
Tvard[k1][2] =atoi(stre); /* n 4 for V4*/ |
Tvard[k1][2] =atoi(stre); /* n 4 for V4*/ |
|
Tvardk[k][2] =atoi(stre); /* n 4 for V4*/ |
k2=k2+2; /* k2 is initialize to -1, We want to store the n and m in Vn*Vm at the end of Tvar */ |
k2=k2+2; /* k2 is initialize to -1, We want to store the n and m in Vn*Vm at the end of Tvar */ |
/* Tvar[cptcovt+k2]=Tvard[k1][1]; /\* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) *\/ */ |
/* Tvar[cptcovt+k2]=Tvard[k1][1]; /\* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) *\/ */ |
/* Tvar[cptcovt+k2+1]=Tvard[k1][2]; /\* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) *\/ */ |
/* Tvar[cptcovt+k2+1]=Tvard[k1][2]; /\* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) *\/ */ |
Line 10253 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 10723 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
TvarsD[nsd]=Tvar[k]; |
TvarsD[nsd]=Tvar[k]; |
TvarsDind[nsd]=k; |
TvarsDind[nsd]=k; |
|
TnsdVar[Tvar[k]]=nsd; |
TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
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 */ |
Line 10264 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 10735 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
ncovf++; |
ncovf++; |
modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
|
/* TnsdVar[Tvar[k]]=nsd; */ /* To be done */ |
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 */ |
Line 10290 Dummy[k] 0=dummy (0 1), 1 quantitative (
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Line 10762 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
nsd++; |
nsd++; |
TvarsD[nsd]=Tvar[k]; |
TvarsD[nsd]=Tvar[k]; |
TvarsDind[nsd]=k; |
TvarsDind[nsd]=k; |
|
TnsdVar[Tvar[k]]=nsd; /* To be verified */ |
ncovv++; /* Only simple time varying variables */ |
ncovv++; /* Only simple time varying variables */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; /* TvarVind[2]=2 TvarVind[3]=3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */ |
TvarVind[ncovv]=k; /* TvarVind[2]=2 TvarVind[3]=3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */ |
Line 10306 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 10779 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
ncovv++; /* Only simple time varying variables */ |
ncovv++; /* Only simple time varying variables */ |
nsq++; |
nsq++; |
TvarsQ[nsq]=Tvar[k]; /* k=1 Tvar=5 nsq=1 TvarsQ[1]=5 */ |
TvarsQ[nsq]=Tvar[k]; /* k=1 Tvar=5 nsq=1 TvarsQ[1]=5 */ |
TvarsQind[nsq]=k; |
TvarsQind[nsq]=k; /* For single quantitative covariate gives the model position of each single quantitative covariate */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; /* TvarVind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */ |
TvarVind[ncovv]=k; /* TvarVind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */ |
TvarVQ[nqtveff]=Tvar[k]; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
TvarVQ[nqtveff]=Tvar[k]; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
Line 10832 void syscompilerinfo(int logged)
|
Line 11305 void syscompilerinfo(int logged)
|
|
|
int prevalence_limit(double *p, double **prlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp){ |
int prevalence_limit(double *p, double **prlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp){ |
/*--------------- Prevalence limit (forward period or forward stable prevalence) --------------*/ |
/*--------------- Prevalence limit (forward period or forward stable prevalence) --------------*/ |
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/* Computes the prevalence limit for each combination of the dummy covariates */ |
int i, j, k, i1, k4=0, nres=0 ; |
int i, j, k, i1, k4=0, nres=0 ; |
/* double ftolpl = 1.e-10; */ |
/* double ftolpl = 1.e-10; */ |
double age, agebase, agelim; |
double age, agebase, agelim; |
Line 10870 int prevalence_limit(double *p, double *
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Line 11344 int prevalence_limit(double *p, double *
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//for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ |
//for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ |
/* k=k+1; */ |
/* k=k+1; */ |
/* to clean */ |
/* to clean */ |
//printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); |
/*printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));*/ |
fprintf(ficrespl,"#******"); |
fprintf(ficrespl,"#******"); |
printf("#******"); |
printf("#******"); |
fprintf(ficlog,"#******"); |
fprintf(ficlog,"#******"); |
for(j=1;j<=cptcoveff ;j++) {/* all covariates */ |
for(j=1;j<=cptcoveff ;j++) {/* all covariates */ |
fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,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*\/ */ |
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); /* Here problem for varying dummy*/ |
fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
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fprintf(ficlog," 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 */ |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
Line 10896 int prevalence_limit(double *p, double *
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Line 11371 int prevalence_limit(double *p, double *
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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,j)]); |
fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[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"); |
Line 10906 int prevalence_limit(double *p, double *
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Line 11381 int prevalence_limit(double *p, double *
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prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k, nres); |
prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k, nres); |
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,j)]); |
fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[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 10961 int back_prevalence_limit(double *p, dou
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Line 11436 int back_prevalence_limit(double *p, dou
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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; |
//printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); |
/*printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));*/ |
fprintf(ficresplb,"#******"); |
fprintf(ficresplb,"#******"); |
printf("#******"); |
printf("#******"); |
fprintf(ficlog,"#******"); |
fprintf(ficlog,"#******"); |
for(j=1;j<=cptcoveff ;j++) {/* all covariates */ |
for(j=1;j<=cptcoveff ;j++) {/* all covariates */ |
fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,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,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 */ |
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
fprintf(ficresplb," V%d=%f ",Tvqresult[nres][j],Tqresult[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][j]); |
fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
} |
} |
fprintf(ficresplb,"******\n"); |
fprintf(ficresplb,"******\n"); |
printf("******\n"); |
printf("******\n"); |
Line 10987 int back_prevalence_limit(double *p, dou
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Line 11462 int back_prevalence_limit(double *p, dou
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fprintf(ficresplb,"#Age "); |
fprintf(ficresplb,"#Age "); |
for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[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 11011 int back_prevalence_limit(double *p, dou
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Line 11486 int back_prevalence_limit(double *p, dou
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} |
} |
fprintf(ficresplb,"%.0f ",age ); |
fprintf(ficresplb,"%.0f ",age ); |
for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcoveff;j++) |
fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[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 11069 int hPijx(double *p, int bage, int fage)
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Line 11544 int hPijx(double *p, int bage, int fage)
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continue; |
continue; |
fprintf(ficrespij,"\n#****** "); |
fprintf(ficrespij,"\n#****** "); |
for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcoveff;j++) |
fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficrespij," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficrespij," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
Line 11148 int hPijx(double *p, int bage, int fage)
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Line 11623 int hPijx(double *p, int bage, int fage)
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continue; |
continue; |
fprintf(ficrespijb,"\n#****** "); |
fprintf(ficrespijb,"\n#****** "); |
for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcoveff;j++) |
fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,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(ficrespijb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
fprintf(ficrespijb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
} |
} |
fprintf(ficrespijb,"******\n"); |
fprintf(ficrespijb,"******\n"); |
if(invalidvarcomb[k]){ /* Is it necessary here? */ |
if(invalidvarcomb[k]){ /* Is it necessary here? */ |
Line 11171 int hPijx(double *p, int bage, int fage)
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Line 11646 int hPijx(double *p, int bage, int fage)
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/* oldm=oldms;savm=savms; */ |
/* oldm=oldms;savm=savms; */ |
/* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */ |
/* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */ |
hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k, nres); |
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); */ |
/* 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="); |
fprintf(ficrespijb,"# Cov Agex agex-h hbijx with i,j="); |
for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
Line 11184 int hPijx(double *p, int bage, int fage)
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Line 11659 int hPijx(double *p, int bage, int fage)
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/* 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," %.5f", p3mat[i][j][h]); |
fprintf(ficrespijb," %.5f", p3mat[i][j][h]);/* Bug valgrind */ |
fprintf(ficrespijb,"\n"); |
fprintf(ficrespijb,"\n"); |
} |
} |
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
Line 11243 int main(int argc, char *argv[])
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Line 11718 int main(int argc, char *argv[])
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char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE]; |
char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE]; |
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char modeltemp[MAXLINE]; |
char modeltemp[MAXLINE]; |
char resultline[MAXLINE]; |
char resultline[MAXLINE], resultlineori[MAXLINE]; |
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char pathr[MAXLINE], pathimach[MAXLINE]; |
char pathr[MAXLINE], pathimach[MAXLINE]; |
char *tok, *val; /* pathtot */ |
char *tok, *val; /* pathtot */ |
Line 11869 Please run with mle=-1 to get a correct
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Line 12344 Please run with mle=-1 to get a correct
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} |
} |
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 */ |
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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 11888 Please run with mle=-1 to get a correct
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Line 12364 Please run with mle=-1 to get a correct
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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); /* */ |
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TnsdVar=ivector(1,NCOVMAX); /* */ |
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 11930 Please run with mle=-1 to get a correct
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Line 12407 Please run with mle=-1 to get a correct
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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) */ |
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Tvardk=imatrix(1,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 |
*/ |
*/ |
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for(i=1;i<NCOVMAX;i++) |
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Tage[i]=0; |
Tmodelind=ivector(1,NCOVMAX);/** gives the k model position of an |
Tmodelind=ivector(1,NCOVMAX);/** gives the k model position of an |
* individual dummy, fixed or varying: |
* individual dummy, fixed or varying: |
* Tmodelind[Tvaraff[3]]=9,Tvaraff[1]@9={4, |
* Tmodelind[Tvaraff[3]]=9,Tvaraff[1]@9={4, |
Line 12037 Please run with mle=-1 to get a correct
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Line 12517 Please run with mle=-1 to get a correct
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* For k=4 covariates, h goes from 1 to m=2**k |
* For k=4 covariates, h goes from 1 to m=2**k |
* codtabm(h,k)= (1 & (h-1) >> (k-1)) + 1; |
* codtabm(h,k)= (1 & (h-1) >> (k-1)) + 1; |
* #define codtabm(h,k) (1 & (h-1) >> (k-1))+1 |
* #define codtabm(h,k) (1 & (h-1) >> (k-1))+1 |
* h\k 1 2 3 4 |
* h\k 1 2 3 4 * h-1\k-1 4 3 2 1 |
*______________________________ |
*______________________________ *______________________ |
* 1 i=1 1 i=1 1 i=1 1 i=1 1 |
* 1 i=1 1 i=1 1 i=1 1 i=1 1 * 0 0 0 0 0 |
* 2 2 1 1 1 |
* 2 2 1 1 1 * 1 0 0 0 1 |
* 3 i=2 1 2 1 1 |
* 3 i=2 1 2 1 1 * 2 0 0 1 0 |
* 4 2 2 1 1 |
* 4 2 2 1 1 * 3 0 0 1 1 |
* 5 i=3 1 i=2 1 2 1 |
* 5 i=3 1 i=2 1 2 1 * 4 0 1 0 0 |
* 6 2 1 2 1 |
* 6 2 1 2 1 * 5 0 1 0 1 |
* 7 i=4 1 2 2 1 |
* 7 i=4 1 2 2 1 * 6 0 1 1 0 |
* 8 2 2 2 1 |
* 8 2 2 2 1 * 7 0 1 1 1 |
* 9 i=5 1 i=3 1 i=2 1 2 |
* 9 i=5 1 i=3 1 i=2 1 2 * 8 1 0 0 0 |
* 10 2 1 1 2 |
* 10 2 1 1 2 * 9 1 0 0 1 |
* 11 i=6 1 2 1 2 |
* 11 i=6 1 2 1 2 * 10 1 0 1 0 |
* 12 2 2 1 2 |
* 12 2 2 1 2 * 11 1 0 1 1 |
* 13 i=7 1 i=4 1 2 2 |
* 13 i=7 1 i=4 1 2 2 * 12 1 1 0 0 |
* 14 2 1 2 2 |
* 14 2 1 2 2 * 13 1 1 0 1 |
* 15 i=8 1 2 2 2 |
* 15 i=8 1 2 2 2 * 14 1 1 1 0 |
* 16 2 2 2 2 |
* 16 2 2 2 2 * 15 1 1 1 1 |
*/ |
*/ |
/* How to do the opposite? From combination h (=1 to 2**k) how to get the value on the covariates? */ |
/* How to do the opposite? From combination h (=1 to 2**k) how to get the value on the covariates? */ |
/* from h=5 and m, we get then number of covariates k=log(m)/log(2)=4 |
/* from h=5 and m, we get then number of covariates k=log(m)/log(2)=4 |
* and the value of each covariate? |
* and the value of each covariate? |
Line 12146 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 12626 Title=%s <br>Datafile=%s Firstpass=%d La
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optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
} |
} |
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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-2013-2016-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<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> \ |
<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
<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\ |
Line 12556 Please run with mle=-1 to get a correct
|
Line 13036 Please run with mle=-1 to get a correct
|
hesscov(matcov, hess, p, npar, delti, ftolhess, func); |
hesscov(matcov, hess, p, npar, delti, ftolhess, func); |
printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
fprintf(fichtm, "\n<p>Parameters, Wald tests and Wald-based confidence intervals\n</br> W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n</br> And Wald-based confidence intervals plus and minus 1.96 * W \n </br> It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n</br>"); |
fprintf(fichtm, "\n<p>The Wald test results are output only if the maximimzation of the Likelihood is performed (mle=1)\n</br>Parameters, Wald tests and Wald-based confidence intervals\n</br> W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n</br> And Wald-based confidence intervals plus and minus 1.96 * W \n </br> It might be better to visualize the covariance matrix. See the page '<a href=\"%s\">Matrix of variance-covariance of one-step probabilities and its graphs</a>'.\n</br>",optionfilehtmcov); |
fprintf(fichtm,"\n<table style=\"text-align:center; border: 1px solid\">"); |
fprintf(fichtm,"\n<table style=\"text-align:center; border: 1px solid\">"); |
fprintf(fichtm, "\n<tr><th>Model=</th><th>1</th><th>+ age</th>"); |
fprintf(fichtm, "\n<tr><th>Model=</th><th>1</th><th>+ age</th>"); |
if(nagesqr==1){ |
if(nagesqr==1){ |
Line 12587 Please run with mle=-1 to get a correct
|
Line 13067 Please run with mle=-1 to get a correct
|
fprintf(fichtm, "<td>%1d%1d</td>",i,k); |
fprintf(fichtm, "<td>%1d%1d</td>",i,k); |
for(j=1; j <=ncovmodel; j++){ |
for(j=1; j <=ncovmodel; j++){ |
wald=p[jk]/sqrt(matcov[jk][jk]); |
wald=p[jk]/sqrt(matcov[jk][jk]); |
printf("%12.7f(%12.7f) sqrt(W)=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][jk]), p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
printf("%12.7f(%12.7f) W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][jk]), p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
fprintf(ficlog,"%12.7f(%12.7f) sqrt(W)=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][jk]), p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
fprintf(ficlog,"%12.7f(%12.7f) W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][jk]), p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
if(fabs(wald) > 1.96){ |
if(fabs(wald) > 1.96){ |
fprintf(fichtm, "<td><b>%12.7f</b></br> (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk])); |
fprintf(fichtm, "<td><b>%12.7f</b></br> (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk])); |
}else{ |
}else{ |
fprintf(fichtm, "<td>%12.7f (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk])); |
fprintf(fichtm, "<td>%12.7f (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk])); |
} |
} |
fprintf(fichtm,"sqrt(W)=%8.3f</br>",wald); |
fprintf(fichtm,"W=%8.3f</br>",wald); |
fprintf(fichtm,"[%12.7f;%12.7f]</br></td>", p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
fprintf(fichtm,"[%12.7f;%12.7f]</br></td>", p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
jk++; |
jk++; |
} |
} |
Line 12817 Please run with mle=-1 to get a correct
|
Line 13297 Please run with mle=-1 to get a correct
|
} |
} |
|
|
/* Results */ |
/* Results */ |
|
/* Value of covariate in each resultine will be compututed (if product) and sorted according to model rank */ |
|
/* It is precov[] because we need the varying age in order to compute the real cov[] of the model equation */ |
|
precov=matrix(1,MAXRESULTLINESPONE,1,NCOVMAX+1); |
endishere=0; |
endishere=0; |
nresult=0; |
nresult=0; |
parameterline=0; |
parameterline=0; |
Line 12890 Please run with mle=-1 to get a correct
|
Line 13373 Please run with mle=-1 to get a correct
|
} |
} |
break; |
break; |
case 13: |
case 13: |
num_filled=sscanf(line,"result:%[^\n]\n",resultline); |
num_filled=sscanf(line,"result:%[^\n]\n",resultlineori); |
nresult++; /* Sum of resultlines */ |
nresult++; /* Sum of resultlines */ |
printf("Result %d: result:%s\n",nresult, resultline); |
printf("Result %d: result:%s\n",nresult, resultlineori); |
|
/* removefirstspace(&resultlineori); */ |
|
|
|
if(strstr(resultlineori,"v") !=0){ |
|
printf("Error. 'v' must be in upper case 'V' result: %s ",resultlineori); |
|
fprintf(ficlog,"Error. 'v' must be in upper case result: %s ",resultlineori);fflush(ficlog); |
|
return 1; |
|
} |
|
trimbb(resultline, resultlineori); /* Suppressing double blank in the resultline */ |
|
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); |
goto end; |
goto end; |
} |
} |
|
|
if(!decoderesult(resultline, nresult)){ /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */ |
if(!decoderesult(resultline, nresult)){ /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */ |
fprintf(ficparo,"result: %s\n",resultline); |
fprintf(ficparo,"result: %s\n",resultline); |
fprintf(ficres,"result: %s\n",resultline); |
fprintf(ficres,"result: %s\n",resultline); |
Line 13001 Please run with mle=-1 to get a correct
|
Line 13494 Please run with mle=-1 to get a correct
|
/*--------------- Prevalence limit (period or stable prevalence) --------------*/ |
/*--------------- Prevalence limit (period or stable prevalence) --------------*/ |
/*#include "prevlim.h"*/ /* Use ficrespl, ficlog */ |
/*#include "prevlim.h"*/ /* Use ficrespl, ficlog */ |
prlim=matrix(1,nlstate,1,nlstate); |
prlim=matrix(1,nlstate,1,nlstate); |
|
/* Computes the prevalence limit for each combination k of the dummy covariates by calling prevalim(k) */ |
prevalence_limit(p, prlim, ageminpar, agemaxpar, ftolpl, &ncvyear); |
prevalence_limit(p, prlim, ageminpar, agemaxpar, ftolpl, &ncvyear); |
fclose(ficrespl); |
fclose(ficrespl); |
|
|
/*------------- h Pij x at various ages ------------*/ |
/*------------- h Pij x at various ages ------------*/ |
/*#include "hpijx.h"*/ |
/*#include "hpijx.h"*/ |
|
/** h Pij x Probability to be in state j at age x+h being in i at x, for each combination k of dummies in the model line or to nres?*/ |
|
/* calls hpxij with combination k */ |
hPijx(p, bage, fage); |
hPijx(p, bage, fage); |
fclose(ficrespij); |
fclose(ficrespij); |
|
|
/* ncovcombmax= pow(2,cptcoveff); */ |
/* ncovcombmax= pow(2,cptcoveff); */ |
/*-------------- Variance of one-step probabilities---*/ |
/*-------------- Variance of one-step probabilities for a combination ij or for nres ?---*/ |
k=1; |
k=1; |
varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart); |
varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart); |
|
|
Line 13131 Please run with mle=-1 to get a correct
|
Line 13627 Please run with mle=-1 to get a correct
|
fprintf(ficreseij,"\n#****** "); |
fprintf(ficreseij,"\n#****** "); |
printf("\n#****** "); |
printf("\n#****** "); |
for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,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][j]); |
printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
fprintf(ficreseij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
fprintf(ficreseij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
} |
} |
fprintf(ficreseij,"******\n"); |
fprintf(ficreseij,"******\n"); |
printf("******\n"); |
printf("******\n"); |
|
|
eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); |
eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); |
oldm=oldms;savm=savms; |
oldm=oldms;savm=savms; |
|
/* printf("HELLO Entering evsij bage=%d fage=%d k=%d estepm=%d nres=%d\n",(int) bage, (int)fage, k, estepm, nres); */ |
evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart, nres); |
evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart, nres); |
|
|
free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); |
free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); |
Line 13200 Please run with mle=-1 to get a correct
|
Line 13697 Please run with mle=-1 to get a correct
|
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); |
for(j=1;j<=cptcoveff;j++){ |
for(j=1;j<=cptcoveff;j++){ |
printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrest,"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,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 */ |
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
fprintf(ficrest," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
fprintf(ficrest," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
} |
} |
fprintf(ficrest,"******\n"); |
fprintf(ficrest,"******\n"); |
fprintf(ficlog,"******\n"); |
fprintf(ficlog,"******\n"); |
Line 13216 Please run with mle=-1 to get a correct
|
Line 13713 Please run with mle=-1 to get a correct
|
fprintf(ficresstdeij,"\n#****** "); |
fprintf(ficresstdeij,"\n#****** "); |
fprintf(ficrescveij,"\n#****** "); |
fprintf(ficrescveij,"\n#****** "); |
for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,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(ficresstdeij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
fprintf(ficresstdeij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
fprintf(ficrescveij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
fprintf(ficrescveij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); |
} |
} |
fprintf(ficresstdeij,"******\n"); |
fprintf(ficresstdeij,"******\n"); |
fprintf(ficrescveij,"******\n"); |
fprintf(ficrescveij,"******\n"); |
Line 13229 Please run with mle=-1 to get a correct
|
Line 13726 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,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]); |
/* 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,"******\n"); |
fprintf(ficresvij,"******\n"); |
|
|
Line 13319 Please run with mle=-1 to get a correct
|
Line 13817 Please run with mle=-1 to get a correct
|
|
|
|
|
free_vector(weight,firstobs,lastobs); |
free_vector(weight,firstobs,lastobs); |
|
free_imatrix(Tvardk,1,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 13366 Please run with mle=-1 to get a correct
|
Line 13865 Please run with mle=-1 to get a correct
|
free_ivector(TvarsQ,1,NCOVMAX); |
free_ivector(TvarsQ,1,NCOVMAX); |
free_ivector(TvarsQind,1,NCOVMAX); |
free_ivector(TvarsQind,1,NCOVMAX); |
free_ivector(TvarsD,1,NCOVMAX); |
free_ivector(TvarsD,1,NCOVMAX); |
|
free_ivector(TnsdVar,1,NCOVMAX); |
free_ivector(TvarsDind,1,NCOVMAX); |
free_ivector(TvarsDind,1,NCOVMAX); |
free_ivector(TvarFD,1,NCOVMAX); |
free_ivector(TvarFD,1,NCOVMAX); |
free_ivector(TvarFDind,1,NCOVMAX); |
free_ivector(TvarFDind,1,NCOVMAX); |
Line 13391 Please run with mle=-1 to get a correct
|
Line 13891 Please run with mle=-1 to get a correct
|
free_ivector(Tmodelind,1,NCOVMAX); |
free_ivector(Tmodelind,1,NCOVMAX); |
free_ivector(TmodelInvind,1,NCOVMAX); |
free_ivector(TmodelInvind,1,NCOVMAX); |
free_ivector(TmodelInvQind,1,NCOVMAX); |
free_ivector(TmodelInvQind,1,NCOVMAX); |
|
|
|
free_matrix(precov, 1,MAXRESULTLINESPONE,1,NCOVMAX+1); /* Could be elsewhere ?*/ |
|
|
free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX); |
free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX); |
/* free_imatrix(codtab,1,100,1,10); */ |
/* free_imatrix(codtab,1,100,1,10); */ |
fflush(fichtm); |
fflush(fichtm); |