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version 1.4, 2001/05/02 17:34:41
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version 1.72, 2003/03/28 13:33:56
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/* $Id$ |
| /*********************** Imach **************************************
|
Interpolated Markov Chain |
| This program computes Healthy Life Expectancies from cross-longitudinal
|
|
| data. Cross-longitudinal consist in a first survey ("cross") where
|
Short summary of the programme: |
| individuals from different ages are interviewed on their health status
|
|
| or degree of disability. At least a second wave of interviews
|
This program computes Healthy Life Expectancies from |
| ("longitudinal") should measure each new individual health status.
|
cross-longitudinal data. Cross-longitudinal data consist in: -1- a |
| Health expectancies are computed from the transistions observed between
|
first survey ("cross") where individuals from different ages are |
| waves and are computed for each degree of severity of disability (number
|
interviewed on their health status or degree of disability (in the |
| of life states). More degrees you consider, more time is necessary to
|
case of a health survey which is our main interest) -2- at least a |
| reach the Maximum Likelihood of the parameters involved in the model.
|
second wave of interviews ("longitudinal") which measure each change |
| The simplest model is the multinomial logistic model where pij is
|
(if any) in individual health status. Health expectancies are |
| the probabibility to be observed in state j at the second wave conditional
|
computed from the time spent in each health state according to a |
| to be observed in state i at the first wave. Therefore the model is:
|
model. More health states you consider, more time is necessary to reach the |
| log(pij/pii)= aij + bij*age+ cij*sex + etc , where 'age' is age and 'sex'
|
Maximum Likelihood of the parameters involved in the model. The |
| is a covariate. If you want to have a more complex model than "constant and
|
simplest model is the multinomial logistic model where pij is the |
| age", you should modify the program where the markup
|
probability to be observed in state j at the second wave |
| *Covariates have to be included here again* invites you to do it.
|
conditional to be observed in state i at the first wave. Therefore |
| More covariates you add, less is the speed of the convergence.
|
the model is: log(pij/pii)= aij + bij*age+ cij*sex + etc , where |
|
|
'age' is age and 'sex' is a covariate. If you want to have a more |
| The advantage that this computer programme claims, comes from that if the
|
complex model than "constant and age", you should modify the program |
| delay between waves is not identical for each individual, or if some
|
where the markup *Covariates have to be included here again* invites |
| individual missed an interview, the information is not rounded or lost, but
|
you to do it. More covariates you add, slower the |
| taken into account using an interpolation or extrapolation.
|
convergence. |
| hPijx is the probability to be
|
|
| observed in state i at age x+h conditional to the observed state i at age
|
The advantage of this computer programme, compared to a simple |
| x. The delay 'h' can be split into an exact number (nh*stepm) of
|
multinomial logistic model, is clear when the delay between waves is not |
| unobserved intermediate states. This elementary transition (by month or
|
identical for each individual. Also, if a individual missed an |
| quarter trimester, semester or year) is model as a multinomial logistic.
|
intermediate interview, the information is lost, but taken into |
| The hPx matrix is simply the matrix product of nh*stepm elementary matrices
|
account using an interpolation or extrapolation. |
| and the contribution of each individual to the likelihood is simply hPijx.
|
|
|
|
hPijx is the probability to be observed in state i at age x+h |
| Also this programme outputs the covariance matrix of the parameters but also
|
conditional to the observed state i at age x. The delay 'h' can be |
| of the life expectancies. It also computes the prevalence limits.
|
split into an exact number (nh*stepm) of unobserved intermediate |
|
|
states. This elementary transition (by month, quarter, |
| Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr).
|
semester or year) is modelled as a multinomial logistic. The hPx |
| Institut national d'études démographiques, Paris.
|
matrix is simply the matrix product of nh*stepm elementary matrices |
| This software have been partly granted by Euro-REVES, a concerted action
|
and the contribution of each individual to the likelihood is simply |
| from the European Union.
|
hPijx. |
| It is copyrighted identically to a GNU software product, ie programme and
|
|
| software can be distributed freely for non commercial use. Latest version
|
Also this programme outputs the covariance matrix of the parameters but also |
| can be accessed at http://euroreves.ined.fr/imach .
|
of the life expectancies. It also computes the stable prevalence. |
| **********************************************************************/
|
|
|
|
Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr). |
| #include <math.h>
|
Institut national d'études démographiques, Paris. |
| #include <stdio.h>
|
This software have been partly granted by Euro-REVES, a concerted action |
| #include <stdlib.h>
|
from the European Union. |
| #include <unistd.h>
|
It is copyrighted identically to a GNU software product, ie programme and |
|
|
software can be distributed freely for non commercial use. Latest version |
| #define MAXLINE 256
|
can be accessed at http://euroreves.ined.fr/imach . |
| #define FILENAMELENGTH 80
|
**********************************************************************/ |
| /*#define DEBUG*/
|
|
| #define windows
|
#include <math.h> |
|
|
#include <stdio.h> |
| #define MAXPARM 30 /* Maximum number of parameters for the optimization */
|
#include <stdlib.h> |
| #define NPARMAX 64 /* (nlstate+ndeath-1)*nlstate*ncovmodel */
|
#include <unistd.h> |
|
|
|
| #define NINTERVMAX 8
|
#define MAXLINE 256 |
| #define NLSTATEMAX 8 /* Maximum number of live states (for func) */
|
#define GNUPLOTPROGRAM "gnuplot" |
| #define NDEATHMAX 8 /* Maximum number of dead states (for func) */
|
/*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/ |
| #define NCOVMAX 8 /* Maximum number of covariates */
|
#define FILENAMELENGTH 80 |
| #define MAXN 20000
|
/*#define DEBUG*/ |
| #define YEARM 12. /* Number of months per year */
|
#define windows |
| #define AGESUP 130
|
#define GLOCK_ERROR_NOPATH -1 /* empty path */ |
| #define AGEBASE 40
|
#define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */ |
|
|
|
|
|
#define MAXPARM 30 /* Maximum number of parameters for the optimization */ |
| int nvar;
|
#define NPARMAX 64 /* (nlstate+ndeath-1)*nlstate*ncovmodel */ |
| static int cptcov;
|
|
| int cptcovn;
|
#define NINTERVMAX 8 |
| int npar=NPARMAX;
|
#define NLSTATEMAX 8 /* Maximum number of live states (for func) */ |
| int nlstate=2; /* Number of live states */
|
#define NDEATHMAX 8 /* Maximum number of dead states (for func) */ |
| int ndeath=1; /* Number of dead states */
|
#define NCOVMAX 8 /* Maximum number of covariates */ |
| int ncovmodel, ncov; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */
|
#define MAXN 20000 |
|
|
#define YEARM 12. /* Number of months per year */ |
| int *wav; /* Number of waves for this individuual 0 is possible */
|
#define AGESUP 130 |
| int maxwav; /* Maxim number of waves */
|
#define AGEBASE 40 |
| int mle, weightopt;
|
#ifdef windows |
| int **mw; /* mw[mi][i] is number of the mi wave for this individual */
|
#define DIRSEPARATOR '\\' |
| int **dh; /* dh[mi][i] is number of steps between mi,mi+1 for this individual */
|
#define ODIRSEPARATOR '/' |
| double **oldm, **newm, **savm; /* Working pointers to matrices */
|
#else |
| double **oldms, **newms, **savms; /* Fixed working pointers to matrices */
|
#define DIRSEPARATOR '/' |
| FILE *fic,*ficpar, *ficparo,*ficres, *ficrespl, *ficrespij, *ficrest;
|
#define ODIRSEPARATOR '\\' |
| FILE *ficgp, *fichtm;
|
#endif |
| FILE *ficreseij;
|
|
| char filerese[FILENAMELENGTH];
|
char version[80]="Imach version 0.93, February 2003, INED-EUROREVES "; |
| FILE *ficresvij;
|
int erreur; /* Error number */ |
| char fileresv[FILENAMELENGTH];
|
int nvar; |
| FILE *ficresvpl;
|
int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov; |
| char fileresvpl[FILENAMELENGTH];
|
int npar=NPARMAX; |
|
|
int nlstate=2; /* Number of live states */ |
|
|
int ndeath=1; /* Number of dead states */ |
|
|
int ncovmodel, ncovcol; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */ |
|
|
int popbased=0; |
| #define NR_END 1
|
|
| #define FREE_ARG char*
|
int *wav; /* Number of waves for this individuual 0 is possible */ |
| #define FTOL 1.0e-10
|
int maxwav; /* Maxim number of waves */ |
|
|
int jmin, jmax; /* min, max spacing between 2 waves */ |
| #define NRANSI
|
int mle, weightopt; |
| #define ITMAX 200
|
int **mw; /* mw[mi][i] is number of the mi wave for this individual */ |
|
|
int **dh; /* dh[mi][i] is number of steps between mi,mi+1 for this individual */ |
| #define TOL 2.0e-4
|
int **bh; /* bh[mi][i] is the bias (+ or -) for this individual if the delay between |
|
|
* wave mi and wave mi+1 is not an exact multiple of stepm. */ |
| #define CGOLD 0.3819660
|
double jmean; /* Mean space between 2 waves */ |
| #define ZEPS 1.0e-10
|
double **oldm, **newm, **savm; /* Working pointers to matrices */ |
| #define SHFT(a,b,c,d) (a)=(b);(b)=(c);(c)=(d);
|
double **oldms, **newms, **savms; /* Fixed working pointers to matrices */ |
|
|
FILE *fic,*ficpar, *ficparo,*ficres, *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop; |
| #define GOLD 1.618034
|
FILE *ficlog; |
| #define GLIMIT 100.0
|
FILE *ficgp,*ficresprob,*ficpop, *ficresprobcov, *ficresprobcor; |
| #define TINY 1.0e-20
|
FILE *ficresprobmorprev; |
|
|
FILE *fichtm; /* Html File */ |
| static double maxarg1,maxarg2;
|
FILE *ficreseij; |
| #define FMAX(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)>(maxarg2)? (maxarg1):(maxarg2))
|
char filerese[FILENAMELENGTH]; |
| #define FMIN(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)<(maxarg2)? (maxarg1):(maxarg2))
|
FILE *ficresvij; |
|
|
char fileresv[FILENAMELENGTH]; |
| #define SIGN(a,b) ((b)>0.0 ? fabs(a) : -fabs(a))
|
FILE *ficresvpl; |
| #define rint(a) floor(a+0.5)
|
char fileresvpl[FILENAMELENGTH]; |
|
|
char title[MAXLINE]; |
| static double sqrarg;
|
char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH], filerespl[FILENAMELENGTH]; |
| #define SQR(a) ((sqrarg=(a)) == 0.0 ? 0.0 :sqrarg*sqrarg)
|
char optionfilext[10], optionfilefiname[FILENAMELENGTH], plotcmd[FILENAMELENGTH]; |
| #define SWAP(a,b) {temp=(a);(a)=(b);(b)=temp;}
|
|
|
|
char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH]; |
| int imx;
|
char filelog[FILENAMELENGTH]; /* Log file */ |
| int stepm;
|
char filerest[FILENAMELENGTH]; |
| /* Stepm, step in month: minimum step interpolation*/
|
char fileregp[FILENAMELENGTH]; |
|
|
char popfile[FILENAMELENGTH]; |
| int m,nb;
|
|
| int *num, firstpass=0, lastpass=4,*cod, *ncodemax;
|
char optionfilegnuplot[FILENAMELENGTH], optionfilehtm[FILENAMELENGTH]; |
| double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint;
|
|
| double **pmmij;
|
#define NR_END 1 |
|
|
#define FREE_ARG char* |
| double *weight;
|
#define FTOL 1.0e-10 |
| int **s; /* Status */
|
|
| double *agedc, **covar, idx;
|
#define NRANSI |
| int **nbcode, *Tcode, *Tvar, **codtab;
|
#define ITMAX 200 |
|
|
|
| double ftol=FTOL; /* Tolerance for computing Max Likelihood */
|
#define TOL 2.0e-4 |
| double ftolhess; /* Tolerance for computing hessian */
|
|
|
|
#define CGOLD 0.3819660 |
|
|
#define ZEPS 1.0e-10 |
| /******************************************/
|
#define SHFT(a,b,c,d) (a)=(b);(b)=(c);(c)=(d); |
|
|
|
| void replace(char *s, char*t)
|
#define GOLD 1.618034 |
| {
|
#define GLIMIT 100.0 |
| int i;
|
#define TINY 1.0e-20 |
| int lg=20;
|
|
| i=0;
|
static double maxarg1,maxarg2; |
| lg=strlen(t);
|
#define FMAX(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)>(maxarg2)? (maxarg1):(maxarg2)) |
| for(i=0; i<= lg; i++) {
|
#define FMIN(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)<(maxarg2)? (maxarg1):(maxarg2)) |
| (s[i] = t[i]);
|
|
| if (t[i]== '\\') s[i]='/';
|
#define SIGN(a,b) ((b)>0.0 ? fabs(a) : -fabs(a)) |
| }
|
#define rint(a) floor(a+0.5) |
| }
|
|
|
|
static double sqrarg; |
| int nbocc(char *s, char occ)
|
#define SQR(a) ((sqrarg=(a)) == 0.0 ? 0.0 :sqrarg*sqrarg) |
| {
|
#define SWAP(a,b) {temp=(a);(a)=(b);(b)=temp;} |
| int i,j=0;
|
|
| int lg=20;
|
int imx; |
| i=0;
|
int stepm; |
| lg=strlen(s);
|
/* Stepm, step in month: minimum step interpolation*/ |
| for(i=0; i<= lg; i++) {
|
|
| if (s[i] == occ ) j++;
|
int estepm; |
| }
|
/* Estepm, step in month to interpolate survival function in order to approximate Life Expectancy*/ |
| return j;
|
|
| }
|
int m,nb; |
|
|
int *num, firstpass=0, lastpass=4,*cod, *ncodemax, *Tage; |
| void cutv(char *u,char *v, char*t, char occ)
|
double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint; |
| {
|
double **pmmij, ***probs; |
| int i,lg,j,p;
|
double dateintmean=0; |
| i=0;
|
|
| for(j=0; j<=strlen(t)-1; j++) {
|
double *weight; |
| if((t[j]!= occ) && (t[j+1]== occ)) p=j+1;
|
int **s; /* Status */ |
| }
|
double *agedc, **covar, idx; |
|
|
int **nbcode, *Tcode, *Tvar, **codtab, **Tvard, *Tprod, cptcovprod, *Tvaraff; |
| lg=strlen(t);
|
|
| for(j=0; j<p; j++) {
|
double ftol=FTOL; /* Tolerance for computing Max Likelihood */ |
| (u[j] = t[j]);
|
double ftolhess; /* Tolerance for computing hessian */ |
| u[p]='\0';
|
|
| }
|
/**************** split *************************/ |
|
|
static int split( char *path, char *dirc, char *name, char *ext, char *finame ) |
| for(j=0; j<= lg; j++) {
|
{ |
| if (j>=(p+1))(v[j-p-1] = t[j]);
|
char *ss; /* pointer */ |
| }
|
int l1, l2; /* length counters */ |
| }
|
|
|
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l1 = strlen(path ); /* length of path */ |
| /********************** nrerror ********************/
|
if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH ); |
|
|
ss= strrchr( path, DIRSEPARATOR ); /* find last / */ |
| void nrerror(char error_text[])
|
if ( ss == NULL ) { /* no directory, so use current */ |
| {
|
/*if(strrchr(path, ODIRSEPARATOR )==NULL) |
| fprintf(stderr,"ERREUR ...\n");
|
printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/ |
| fprintf(stderr,"%s\n",error_text);
|
#if defined(__bsd__) /* get current working directory */ |
| exit(1);
|
extern char *getwd( ); |
| }
|
|
| /*********************** vector *******************/
|
if ( getwd( dirc ) == NULL ) { |
| double *vector(int nl, int nh)
|
#else |
| {
|
extern char *getcwd( ); |
| double *v;
|
|
| v=(double *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(double)));
|
if ( getcwd( dirc, FILENAME_MAX ) == NULL ) { |
| if (!v) nrerror("allocation failure in vector");
|
#endif |
| return v-nl+NR_END;
|
return( GLOCK_ERROR_GETCWD ); |
| }
|
} |
|
|
strcpy( name, path ); /* we've got it */ |
| /************************ free vector ******************/
|
} else { /* strip direcotry from path */ |
| void free_vector(double*v, int nl, int nh)
|
ss++; /* after this, the filename */ |
| {
|
l2 = strlen( ss ); /* length of filename */ |
| free((FREE_ARG)(v+nl-NR_END));
|
if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH ); |
| }
|
strcpy( name, ss ); /* save file name */ |
|
|
strncpy( dirc, path, l1 - l2 ); /* now the directory */ |
| /************************ivector *******************************/
|
dirc[l1-l2] = 0; /* add zero */ |
| int *ivector(long nl,long nh)
|
} |
| {
|
l1 = strlen( dirc ); /* length of directory */ |
| int *v;
|
#ifdef windows |
| v=(int *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(int)));
|
if ( dirc[l1-1] != '\\' ) { dirc[l1] = '\\'; dirc[l1+1] = 0; } |
| if (!v) nrerror("allocation failure in ivector");
|
#else |
| return v-nl+NR_END;
|
if ( dirc[l1-1] != '/' ) { dirc[l1] = '/'; dirc[l1+1] = 0; } |
| }
|
#endif |
|
|
ss = strrchr( name, '.' ); /* find last / */ |
| /******************free ivector **************************/
|
ss++; |
| void free_ivector(int *v, long nl, long nh)
|
strcpy(ext,ss); /* save extension */ |
| {
|
l1= strlen( name); |
| free((FREE_ARG)(v+nl-NR_END));
|
l2= strlen(ss)+1; |
| }
|
strncpy( finame, name, l1-l2); |
|
|
finame[l1-l2]= 0; |
| /******************* imatrix *******************************/
|
return( 0 ); /* we're done */ |
| int **imatrix(long nrl, long nrh, long ncl, long nch)
|
} |
| /* allocate a int matrix with subscript range m[nrl..nrh][ncl..nch] */
|
|
| {
|
|
| long i, nrow=nrh-nrl+1,ncol=nch-ncl+1;
|
/******************************************/ |
| int **m;
|
|
|
|
void replace(char *s, char*t) |
| /* allocate pointers to rows */
|
{ |
| m=(int **) malloc((size_t)((nrow+NR_END)*sizeof(int*)));
|
int i; |
| if (!m) nrerror("allocation failure 1 in matrix()");
|
int lg=20; |
| m += NR_END;
|
i=0; |
| m -= nrl;
|
lg=strlen(t); |
|
|
for(i=0; i<= lg; i++) { |
|
|
(s[i] = t[i]); |
| /* allocate rows and set pointers to them */
|
if (t[i]== '\\') s[i]='/'; |
| m[nrl]=(int *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(int)));
|
} |
| if (!m[nrl]) nrerror("allocation failure 2 in matrix()");
|
} |
| m[nrl] += NR_END;
|
|
| m[nrl] -= ncl;
|
int nbocc(char *s, char occ) |
|
|
{ |
| for(i=nrl+1;i<=nrh;i++) m[i]=m[i-1]+ncol;
|
int i,j=0; |
|
|
int lg=20; |
| /* return pointer to array of pointers to rows */
|
i=0; |
| return m;
|
lg=strlen(s); |
| }
|
for(i=0; i<= lg; i++) { |
|
|
if (s[i] == occ ) j++; |
| /****************** free_imatrix *************************/
|
} |
| void free_imatrix(m,nrl,nrh,ncl,nch)
|
return j; |
| int **m;
|
} |
| long nch,ncl,nrh,nrl;
|
|
| /* free an int matrix allocated by imatrix() */
|
void cutv(char *u,char *v, char*t, char occ) |
| {
|
{ |
| free((FREE_ARG) (m[nrl]+ncl-NR_END));
|
/* cuts string t into u and v where u is ended by char occ excluding it |
| free((FREE_ARG) (m+nrl-NR_END));
|
and v is after occ excluding it too : ex cutv(u,v,"abcdef2ghi2j",2) |
| }
|
gives u="abcedf" and v="ghi2j" */ |
|
|
int i,lg,j,p=0; |
| /******************* matrix *******************************/
|
i=0; |
| double **matrix(long nrl, long nrh, long ncl, long nch)
|
for(j=0; j<=strlen(t)-1; j++) { |
| {
|
if((t[j]!= occ) && (t[j+1]== occ)) p=j+1; |
| long i, nrow=nrh-nrl+1, ncol=nch-ncl+1;
|
} |
| double **m;
|
|
|
|
lg=strlen(t); |
| m=(double **) malloc((size_t)((nrow+NR_END)*sizeof(double*)));
|
for(j=0; j<p; j++) { |
| if (!m) nrerror("allocation failure 1 in matrix()");
|
(u[j] = t[j]); |
| m += NR_END;
|
} |
| m -= nrl;
|
u[p]='\0'; |
|
|
|
| m[nrl]=(double *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double)));
|
for(j=0; j<= lg; j++) { |
| if (!m[nrl]) nrerror("allocation failure 2 in matrix()");
|
if (j>=(p+1))(v[j-p-1] = t[j]); |
| m[nrl] += NR_END;
|
} |
| m[nrl] -= ncl;
|
} |
|
|
|
| for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
|
/********************** nrerror ********************/ |
| return m;
|
|
| }
|
void nrerror(char error_text[]) |
|
|
{ |
| /*************************free matrix ************************/
|
fprintf(stderr,"ERREUR ...\n"); |
| void free_matrix(double **m, long nrl, long nrh, long ncl, long nch)
|
fprintf(stderr,"%s\n",error_text); |
| {
|
exit(EXIT_FAILURE); |
| free((FREE_ARG)(m[nrl]+ncl-NR_END));
|
} |
| free((FREE_ARG)(m+nrl-NR_END));
|
/*********************** vector *******************/ |
| }
|
double *vector(int nl, int nh) |
|
|
{ |
| /******************* ma3x *******************************/
|
double *v; |
| double ***ma3x(long nrl, long nrh, long ncl, long nch, long nll, long nlh)
|
v=(double *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(double))); |
| {
|
if (!v) nrerror("allocation failure in vector"); |
| long i, j, nrow=nrh-nrl+1, ncol=nch-ncl+1, nlay=nlh-nll+1;
|
return v-nl+NR_END; |
| double ***m;
|
} |
|
|
|
| m=(double ***) malloc((size_t)((nrow+NR_END)*sizeof(double*)));
|
/************************ free vector ******************/ |
| if (!m) nrerror("allocation failure 1 in matrix()");
|
void free_vector(double*v, int nl, int nh) |
| m += NR_END;
|
{ |
| m -= nrl;
|
free((FREE_ARG)(v+nl-NR_END)); |
|
|
} |
| m[nrl]=(double **) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double)));
|
|
| if (!m[nrl]) nrerror("allocation failure 2 in matrix()");
|
/************************ivector *******************************/ |
| m[nrl] += NR_END;
|
int *ivector(long nl,long nh) |
| m[nrl] -= ncl;
|
{ |
|
|
int *v; |
| for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
|
v=(int *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(int))); |
|
|
if (!v) nrerror("allocation failure in ivector"); |
| m[nrl][ncl]=(double *) malloc((size_t)((nrow*ncol*nlay+NR_END)*sizeof(double)));
|
return v-nl+NR_END; |
| if (!m[nrl][ncl]) nrerror("allocation failure 3 in matrix()");
|
} |
| m[nrl][ncl] += NR_END;
|
|
| m[nrl][ncl] -= nll;
|
/******************free ivector **************************/ |
| for (j=ncl+1; j<=nch; j++)
|
void free_ivector(int *v, long nl, long nh) |
| m[nrl][j]=m[nrl][j-1]+nlay;
|
{ |
|
|
free((FREE_ARG)(v+nl-NR_END)); |
| for (i=nrl+1; i<=nrh; i++) {
|
} |
| m[i][ncl]=m[i-1l][ncl]+ncol*nlay;
|
|
| for (j=ncl+1; j<=nch; j++)
|
/******************* imatrix *******************************/ |
| m[i][j]=m[i][j-1]+nlay;
|
int **imatrix(long nrl, long nrh, long ncl, long nch) |
| }
|
/* allocate a int matrix with subscript range m[nrl..nrh][ncl..nch] */ |
| return m;
|
{ |
| }
|
long i, nrow=nrh-nrl+1,ncol=nch-ncl+1; |
|
|
int **m; |
| /*************************free ma3x ************************/
|
|
| void free_ma3x(double ***m, long nrl, long nrh, long ncl, long nch,long nll, long nlh)
|
/* allocate pointers to rows */ |
| {
|
m=(int **) malloc((size_t)((nrow+NR_END)*sizeof(int*))); |
| free((FREE_ARG)(m[nrl][ncl]+ nll-NR_END));
|
if (!m) nrerror("allocation failure 1 in matrix()"); |
| free((FREE_ARG)(m[nrl]+ncl-NR_END));
|
m += NR_END; |
| free((FREE_ARG)(m+nrl-NR_END));
|
m -= nrl; |
| }
|
|
|
|
|
| /***************** f1dim *************************/
|
/* allocate rows and set pointers to them */ |
| extern int ncom;
|
m[nrl]=(int *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(int))); |
| extern double *pcom,*xicom;
|
if (!m[nrl]) nrerror("allocation failure 2 in matrix()"); |
| extern double (*nrfunc)(double []);
|
m[nrl] += NR_END; |
|
|
m[nrl] -= ncl; |
| double f1dim(double x)
|
|
| {
|
for(i=nrl+1;i<=nrh;i++) m[i]=m[i-1]+ncol; |
| int j;
|
|
| double f;
|
/* return pointer to array of pointers to rows */ |
| double *xt;
|
return m; |
|
|
} |
| xt=vector(1,ncom);
|
|
| for (j=1;j<=ncom;j++) xt[j]=pcom[j]+x*xicom[j];
|
/****************** free_imatrix *************************/ |
| f=(*nrfunc)(xt);
|
void free_imatrix(m,nrl,nrh,ncl,nch) |
| free_vector(xt,1,ncom);
|
int **m; |
| return f;
|
long nch,ncl,nrh,nrl; |
| }
|
/* free an int matrix allocated by imatrix() */ |
|
|
{ |
| /*****************brent *************************/
|
free((FREE_ARG) (m[nrl]+ncl-NR_END)); |
| double brent(double ax, double bx, double cx, double (*f)(double), double tol, double *xmin)
|
free((FREE_ARG) (m+nrl-NR_END)); |
| {
|
} |
| int iter;
|
|
| double a,b,d,etemp;
|
/******************* matrix *******************************/ |
| double fu,fv,fw,fx;
|
double **matrix(long nrl, long nrh, long ncl, long nch) |
| double ftemp;
|
{ |
| double p,q,r,tol1,tol2,u,v,w,x,xm;
|
long i, nrow=nrh-nrl+1, ncol=nch-ncl+1; |
| double e=0.0;
|
double **m; |
|
|
|
| a=(ax < cx ? ax : cx);
|
m=(double **) malloc((size_t)((nrow+NR_END)*sizeof(double*))); |
| b=(ax > cx ? ax : cx);
|
if (!m) nrerror("allocation failure 1 in matrix()"); |
| x=w=v=bx;
|
m += NR_END; |
| fw=fv=fx=(*f)(x);
|
m -= nrl; |
| for (iter=1;iter<=ITMAX;iter++) {
|
|
| xm=0.5*(a+b);
|
m[nrl]=(double *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double))); |
| tol2=2.0*(tol1=tol*fabs(x)+ZEPS);
|
if (!m[nrl]) nrerror("allocation failure 2 in matrix()"); |
| /* if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret)))*/
|
m[nrl] += NR_END; |
| printf(".");fflush(stdout);
|
m[nrl] -= ncl; |
| #ifdef DEBUG
|
|
| printf("br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);
|
for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol; |
| /* if ((fabs(x-xm) <= (tol2-0.5*(b-a)))||(2.0*fabs(fu-ftemp) <= ftol*1.e-2*(fabs(fu)+fabs(ftemp)))) { */
|
return m; |
| #endif
|
} |
| if (fabs(x-xm) <= (tol2-0.5*(b-a))){
|
|
| *xmin=x;
|
/*************************free matrix ************************/ |
| return fx;
|
void free_matrix(double **m, long nrl, long nrh, long ncl, long nch) |
| }
|
{ |
| ftemp=fu;
|
free((FREE_ARG)(m[nrl]+ncl-NR_END)); |
| if (fabs(e) > tol1) {
|
free((FREE_ARG)(m+nrl-NR_END)); |
| r=(x-w)*(fx-fv);
|
} |
| q=(x-v)*(fx-fw);
|
|
| p=(x-v)*q-(x-w)*r;
|
/******************* ma3x *******************************/ |
| q=2.0*(q-r);
|
double ***ma3x(long nrl, long nrh, long ncl, long nch, long nll, long nlh) |
| if (q > 0.0) p = -p;
|
{ |
| q=fabs(q);
|
long i, j, nrow=nrh-nrl+1, ncol=nch-ncl+1, nlay=nlh-nll+1; |
| etemp=e;
|
double ***m; |
| e=d;
|
|
| if (fabs(p) >= fabs(0.5*q*etemp) || p <= q*(a-x) || p >= q*(b-x))
|
m=(double ***) malloc((size_t)((nrow+NR_END)*sizeof(double*))); |
| d=CGOLD*(e=(x >= xm ? a-x : b-x));
|
if (!m) nrerror("allocation failure 1 in matrix()"); |
| else {
|
m += NR_END; |
| d=p/q;
|
m -= nrl; |
| u=x+d;
|
|
| if (u-a < tol2 || b-u < tol2)
|
m[nrl]=(double **) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double))); |
| d=SIGN(tol1,xm-x);
|
if (!m[nrl]) nrerror("allocation failure 2 in matrix()"); |
| }
|
m[nrl] += NR_END; |
| } else {
|
m[nrl] -= ncl; |
| d=CGOLD*(e=(x >= xm ? a-x : b-x));
|
|
| }
|
for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol; |
| u=(fabs(d) >= tol1 ? x+d : x+SIGN(tol1,d));
|
|
| fu=(*f)(u);
|
m[nrl][ncl]=(double *) malloc((size_t)((nrow*ncol*nlay+NR_END)*sizeof(double))); |
| if (fu <= fx) {
|
if (!m[nrl][ncl]) nrerror("allocation failure 3 in matrix()"); |
| if (u >= x) a=x; else b=x;
|
m[nrl][ncl] += NR_END; |
| SHFT(v,w,x,u)
|
m[nrl][ncl] -= nll; |
| SHFT(fv,fw,fx,fu)
|
for (j=ncl+1; j<=nch; j++) |
| } else {
|
m[nrl][j]=m[nrl][j-1]+nlay; |
| if (u < x) a=u; else b=u;
|
|
| if (fu <= fw || w == x) {
|
for (i=nrl+1; i<=nrh; i++) { |
| v=w;
|
m[i][ncl]=m[i-1l][ncl]+ncol*nlay; |
| w=u;
|
for (j=ncl+1; j<=nch; j++) |
| fv=fw;
|
m[i][j]=m[i][j-1]+nlay; |
| fw=fu;
|
} |
| } else if (fu <= fv || v == x || v == w) {
|
return m; |
| v=u;
|
} |
| fv=fu;
|
|
| }
|
/*************************free ma3x ************************/ |
| }
|
void free_ma3x(double ***m, long nrl, long nrh, long ncl, long nch,long nll, long nlh) |
| }
|
{ |
| nrerror("Too many iterations in brent");
|
free((FREE_ARG)(m[nrl][ncl]+ nll-NR_END)); |
| *xmin=x;
|
free((FREE_ARG)(m[nrl]+ncl-NR_END)); |
| return fx;
|
free((FREE_ARG)(m+nrl-NR_END)); |
| }
|
} |
|
|
|
| /****************** mnbrak ***********************/
|
/***************** f1dim *************************/ |
|
|
extern int ncom; |
| void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb, double *fc,
|
extern double *pcom,*xicom; |
| double (*func)(double))
|
extern double (*nrfunc)(double []); |
| {
|
|
| double ulim,u,r,q, dum;
|
double f1dim(double x) |
| double fu;
|
{ |
|
|
int j; |
| *fa=(*func)(*ax);
|
double f; |
| *fb=(*func)(*bx);
|
double *xt; |
| if (*fb > *fa) {
|
|
| SHFT(dum,*ax,*bx,dum)
|
xt=vector(1,ncom); |
| SHFT(dum,*fb,*fa,dum)
|
for (j=1;j<=ncom;j++) xt[j]=pcom[j]+x*xicom[j]; |
| }
|
f=(*nrfunc)(xt); |
| *cx=(*bx)+GOLD*(*bx-*ax);
|
free_vector(xt,1,ncom); |
| *fc=(*func)(*cx);
|
return f; |
| while (*fb > *fc) {
|
} |
| r=(*bx-*ax)*(*fb-*fc);
|
|
| q=(*bx-*cx)*(*fb-*fa);
|
/*****************brent *************************/ |
| u=(*bx)-((*bx-*cx)*q-(*bx-*ax)*r)/
|
double brent(double ax, double bx, double cx, double (*f)(double), double tol, double *xmin) |
| (2.0*SIGN(FMAX(fabs(q-r),TINY),q-r));
|
{ |
| ulim=(*bx)+GLIMIT*(*cx-*bx);
|
int iter; |
| if ((*bx-u)*(u-*cx) > 0.0) {
|
double a,b,d,etemp; |
| fu=(*func)(u);
|
double fu,fv,fw,fx; |
| } else if ((*cx-u)*(u-ulim) > 0.0) {
|
double ftemp; |
| fu=(*func)(u);
|
double p,q,r,tol1,tol2,u,v,w,x,xm; |
| if (fu < *fc) {
|
double e=0.0; |
| SHFT(*bx,*cx,u,*cx+GOLD*(*cx-*bx))
|
|
| SHFT(*fb,*fc,fu,(*func)(u))
|
a=(ax < cx ? ax : cx); |
| }
|
b=(ax > cx ? ax : cx); |
| } else if ((u-ulim)*(ulim-*cx) >= 0.0) {
|
x=w=v=bx; |
| u=ulim;
|
fw=fv=fx=(*f)(x); |
| fu=(*func)(u);
|
for (iter=1;iter<=ITMAX;iter++) { |
| } else {
|
xm=0.5*(a+b); |
| u=(*cx)+GOLD*(*cx-*bx);
|
tol2=2.0*(tol1=tol*fabs(x)+ZEPS); |
| fu=(*func)(u);
|
/* if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret)))*/ |
| }
|
printf(".");fflush(stdout); |
| SHFT(*ax,*bx,*cx,u)
|
fprintf(ficlog,".");fflush(ficlog); |
| SHFT(*fa,*fb,*fc,fu)
|
#ifdef DEBUG |
| }
|
printf("br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol); |
| }
|
fprintf(ficlog,"br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol); |
|
|
/* if ((fabs(x-xm) <= (tol2-0.5*(b-a)))||(2.0*fabs(fu-ftemp) <= ftol*1.e-2*(fabs(fu)+fabs(ftemp)))) { */ |
| /*************** linmin ************************/
|
#endif |
|
|
if (fabs(x-xm) <= (tol2-0.5*(b-a))){ |
| int ncom;
|
*xmin=x; |
| double *pcom,*xicom;
|
return fx; |
| double (*nrfunc)(double []);
|
} |
|
|
ftemp=fu; |
| void linmin(double p[], double xi[], int n, double *fret,double (*func)(double []))
|
if (fabs(e) > tol1) { |
| {
|
r=(x-w)*(fx-fv); |
| double brent(double ax, double bx, double cx,
|
q=(x-v)*(fx-fw); |
| double (*f)(double), double tol, double *xmin);
|
p=(x-v)*q-(x-w)*r; |
| double f1dim(double x);
|
q=2.0*(q-r); |
| void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb,
|
if (q > 0.0) p = -p; |
| double *fc, double (*func)(double));
|
q=fabs(q); |
| int j;
|
etemp=e; |
| double xx,xmin,bx,ax;
|
e=d; |
| double fx,fb,fa;
|
if (fabs(p) >= fabs(0.5*q*etemp) || p <= q*(a-x) || p >= q*(b-x)) |
|
|
d=CGOLD*(e=(x >= xm ? a-x : b-x)); |
| ncom=n;
|
else { |
| pcom=vector(1,n);
|
d=p/q; |
| xicom=vector(1,n);
|
u=x+d; |
| nrfunc=func;
|
if (u-a < tol2 || b-u < tol2) |
| for (j=1;j<=n;j++) {
|
d=SIGN(tol1,xm-x); |
| pcom[j]=p[j];
|
} |
| xicom[j]=xi[j];
|
} else { |
| }
|
d=CGOLD*(e=(x >= xm ? a-x : b-x)); |
| ax=0.0;
|
} |
| xx=1.0;
|
u=(fabs(d) >= tol1 ? x+d : x+SIGN(tol1,d)); |
| mnbrak(&ax,&xx,&bx,&fa,&fx,&fb,f1dim);
|
fu=(*f)(u); |
| *fret=brent(ax,xx,bx,f1dim,TOL,&xmin);
|
if (fu <= fx) { |
| #ifdef DEBUG
|
if (u >= x) a=x; else b=x; |
| printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);
|
SHFT(v,w,x,u) |
| #endif
|
SHFT(fv,fw,fx,fu) |
| for (j=1;j<=n;j++) {
|
} else { |
| xi[j] *= xmin;
|
if (u < x) a=u; else b=u; |
| p[j] += xi[j];
|
if (fu <= fw || w == x) { |
| }
|
v=w; |
| free_vector(xicom,1,n);
|
w=u; |
| free_vector(pcom,1,n);
|
fv=fw; |
| }
|
fw=fu; |
|
|
} else if (fu <= fv || v == x || v == w) { |
| /*************** powell ************************/
|
v=u; |
| void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret,
|
fv=fu; |
| double (*func)(double []))
|
} |
| {
|
} |
| void linmin(double p[], double xi[], int n, double *fret,
|
} |
| double (*func)(double []));
|
nrerror("Too many iterations in brent"); |
| int i,ibig,j;
|
*xmin=x; |
| double del,t,*pt,*ptt,*xit;
|
return fx; |
| double fp,fptt;
|
} |
| double *xits;
|
|
| pt=vector(1,n);
|
/****************** mnbrak ***********************/ |
| ptt=vector(1,n);
|
|
| xit=vector(1,n);
|
void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb, double *fc, |
| xits=vector(1,n);
|
double (*func)(double)) |
| *fret=(*func)(p);
|
{ |
| for (j=1;j<=n;j++) pt[j]=p[j];
|
double ulim,u,r,q, dum; |
| for (*iter=1;;++(*iter)) {
|
double fu; |
| fp=(*fret);
|
|
| ibig=0;
|
*fa=(*func)(*ax); |
| del=0.0;
|
*fb=(*func)(*bx); |
| printf("\nPowell iter=%d -2*LL=%.12f",*iter,*fret);
|
if (*fb > *fa) { |
| for (i=1;i<=n;i++)
|
SHFT(dum,*ax,*bx,dum) |
| printf(" %d %.12f",i, p[i]);
|
SHFT(dum,*fb,*fa,dum) |
| printf("\n");
|
} |
| for (i=1;i<=n;i++) {
|
*cx=(*bx)+GOLD*(*bx-*ax); |
| for (j=1;j<=n;j++) xit[j]=xi[j][i];
|
*fc=(*func)(*cx); |
| fptt=(*fret);
|
while (*fb > *fc) { |
| #ifdef DEBUG
|
r=(*bx-*ax)*(*fb-*fc); |
| printf("fret=%lf \n",*fret);
|
q=(*bx-*cx)*(*fb-*fa); |
| #endif
|
u=(*bx)-((*bx-*cx)*q-(*bx-*ax)*r)/ |
| printf("%d",i);fflush(stdout);
|
(2.0*SIGN(FMAX(fabs(q-r),TINY),q-r)); |
| linmin(p,xit,n,fret,func);
|
ulim=(*bx)+GLIMIT*(*cx-*bx); |
| if (fabs(fptt-(*fret)) > del) {
|
if ((*bx-u)*(u-*cx) > 0.0) { |
| del=fabs(fptt-(*fret));
|
fu=(*func)(u); |
| ibig=i;
|
} else if ((*cx-u)*(u-ulim) > 0.0) { |
| }
|
fu=(*func)(u); |
| #ifdef DEBUG
|
if (fu < *fc) { |
| printf("%d %.12e",i,(*fret));
|
SHFT(*bx,*cx,u,*cx+GOLD*(*cx-*bx)) |
| for (j=1;j<=n;j++) {
|
SHFT(*fb,*fc,fu,(*func)(u)) |
| xits[j]=FMAX(fabs(p[j]-pt[j]),1.e-5);
|
} |
| printf(" x(%d)=%.12e",j,xit[j]);
|
} else if ((u-ulim)*(ulim-*cx) >= 0.0) { |
| }
|
u=ulim; |
| for(j=1;j<=n;j++)
|
fu=(*func)(u); |
| printf(" p=%.12e",p[j]);
|
} else { |
| printf("\n");
|
u=(*cx)+GOLD*(*cx-*bx); |
| #endif
|
fu=(*func)(u); |
| }
|
} |
| if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) {
|
SHFT(*ax,*bx,*cx,u) |
| #ifdef DEBUG
|
SHFT(*fa,*fb,*fc,fu) |
| int k[2],l;
|
} |
| k[0]=1;
|
} |
| k[1]=-1;
|
|
| printf("Max: %.12e",(*func)(p));
|
/*************** linmin ************************/ |
| for (j=1;j<=n;j++)
|
|
| printf(" %.12e",p[j]);
|
int ncom; |
| printf("\n");
|
double *pcom,*xicom; |
| for(l=0;l<=1;l++) {
|
double (*nrfunc)(double []); |
| for (j=1;j<=n;j++) {
|
|
| ptt[j]=p[j]+(p[j]-pt[j])*k[l];
|
void linmin(double p[], double xi[], int n, double *fret,double (*func)(double [])) |
| printf("l=%d j=%d ptt=%.12e, xits=%.12e, p=%.12e, xit=%.12e", l,j,ptt[j],xits[j],p[j],xit[j]);
|
{ |
| }
|
double brent(double ax, double bx, double cx, |
| printf("func(ptt)=%.12e, deriv=%.12e\n",(*func)(ptt),(ptt[j]-p[j])/((*func)(ptt)-(*func)(p)));
|
double (*f)(double), double tol, double *xmin); |
| }
|
double f1dim(double x); |
| #endif
|
void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb, |
|
|
double *fc, double (*func)(double)); |
|
|
int j; |
| free_vector(xit,1,n);
|
double xx,xmin,bx,ax; |
| free_vector(xits,1,n);
|
double fx,fb,fa; |
| free_vector(ptt,1,n);
|
|
| free_vector(pt,1,n);
|
ncom=n; |
| return;
|
pcom=vector(1,n); |
| }
|
xicom=vector(1,n); |
| if (*iter == ITMAX) nrerror("powell exceeding maximum iterations.");
|
nrfunc=func; |
| for (j=1;j<=n;j++) {
|
for (j=1;j<=n;j++) { |
| ptt[j]=2.0*p[j]-pt[j];
|
pcom[j]=p[j]; |
| xit[j]=p[j]-pt[j];
|
xicom[j]=xi[j]; |
| pt[j]=p[j];
|
} |
| }
|
ax=0.0; |
| fptt=(*func)(ptt);
|
xx=1.0; |
| if (fptt < fp) {
|
mnbrak(&ax,&xx,&bx,&fa,&fx,&fb,f1dim); |
| t=2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del)-del*SQR(fp-fptt);
|
*fret=brent(ax,xx,bx,f1dim,TOL,&xmin); |
| if (t < 0.0) {
|
#ifdef DEBUG |
| linmin(p,xit,n,fret,func);
|
printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin); |
| for (j=1;j<=n;j++) {
|
fprintf(ficlog,"retour brent fret=%.12e xmin=%.12e\n",*fret,xmin); |
| xi[j][ibig]=xi[j][n];
|
#endif |
| xi[j][n]=xit[j];
|
for (j=1;j<=n;j++) { |
| }
|
xi[j] *= xmin; |
| #ifdef DEBUG
|
p[j] += xi[j]; |
| printf("Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
|
} |
| for(j=1;j<=n;j++)
|
free_vector(xicom,1,n); |
| printf(" %.12e",xit[j]);
|
free_vector(pcom,1,n); |
| printf("\n");
|
} |
| #endif
|
|
| }
|
/*************** powell ************************/ |
| }
|
void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret, |
| }
|
double (*func)(double [])) |
| }
|
{ |
|
|
void linmin(double p[], double xi[], int n, double *fret, |
| /**** Prevalence limit ****************/
|
double (*func)(double [])); |
|
|
int i,ibig,j; |
| double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int ij)
|
double del,t,*pt,*ptt,*xit; |
| {
|
double fp,fptt; |
| /* Computes the prevalence limit in each live state at age x by left multiplying the unit
|
double *xits; |
| matrix by transitions matrix until convergence is reached */
|
pt=vector(1,n); |
|
|
ptt=vector(1,n); |
| int i, ii,j,k;
|
xit=vector(1,n); |
| double min, max, maxmin, maxmax,sumnew=0.;
|
xits=vector(1,n); |
| double **matprod2();
|
*fret=(*func)(p); |
| double **out, cov[NCOVMAX], **pmij();
|
for (j=1;j<=n;j++) pt[j]=p[j]; |
| double **newm;
|
for (*iter=1;;++(*iter)) { |
| double agefin, delaymax=50 ; /* Max number of years to converge */
|
fp=(*fret); |
|
|
ibig=0; |
| for (ii=1;ii<=nlstate+ndeath;ii++)
|
del=0.0; |
| for (j=1;j<=nlstate+ndeath;j++){
|
printf("\nPowell iter=%d -2*LL=%.12f",*iter,*fret); |
| oldm[ii][j]=(ii==j ? 1.0 : 0.0);
|
fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f",*iter,*fret); |
| }
|
for (i=1;i<=n;i++) |
| /* Even if hstepm = 1, at least one multiplication by the unit matrix */
|
printf(" %d %.12f",i, p[i]); |
| for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){
|
fprintf(ficlog," %d %.12f",i, p[i]); |
| newm=savm;
|
printf("\n"); |
| /* Covariates have to be included here again */
|
fprintf(ficlog,"\n"); |
| cov[1]=1.;
|
for (i=1;i<=n;i++) { |
| cov[2]=agefin;
|
for (j=1;j<=n;j++) xit[j]=xi[j][i]; |
| if (cptcovn>0){
|
fptt=(*fret); |
| for (k=1; k<=cptcovn;k++) {cov[2+k]=nbcode[Tvar[k]][codtab[ij][k]];/*printf("Tcode[ij]=%d nbcode=%d\n",Tcode[ij],nbcode[k][Tcode[ij]]);*/}
|
#ifdef DEBUG |
| }
|
printf("fret=%lf \n",*fret); |
| out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);
|
fprintf(ficlog,"fret=%lf \n",*fret); |
|
|
#endif |
| savm=oldm;
|
printf("%d",i);fflush(stdout); |
| oldm=newm;
|
fprintf(ficlog,"%d",i);fflush(ficlog); |
| maxmax=0.;
|
linmin(p,xit,n,fret,func); |
| for(j=1;j<=nlstate;j++){
|
if (fabs(fptt-(*fret)) > del) { |
| min=1.;
|
del=fabs(fptt-(*fret)); |
| max=0.;
|
ibig=i; |
| for(i=1; i<=nlstate; i++) {
|
} |
| sumnew=0;
|
#ifdef DEBUG |
| for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];
|
printf("%d %.12e",i,(*fret)); |
| prlim[i][j]= newm[i][j]/(1-sumnew);
|
fprintf(ficlog,"%d %.12e",i,(*fret)); |
| max=FMAX(max,prlim[i][j]);
|
for (j=1;j<=n;j++) { |
| min=FMIN(min,prlim[i][j]);
|
xits[j]=FMAX(fabs(p[j]-pt[j]),1.e-5); |
| }
|
printf(" x(%d)=%.12e",j,xit[j]); |
| maxmin=max-min;
|
fprintf(ficlog," x(%d)=%.12e",j,xit[j]); |
| maxmax=FMAX(maxmax,maxmin);
|
} |
| }
|
for(j=1;j<=n;j++) { |
| if(maxmax < ftolpl){
|
printf(" p=%.12e",p[j]); |
| return prlim;
|
fprintf(ficlog," p=%.12e",p[j]); |
| }
|
} |
| }
|
printf("\n"); |
| }
|
fprintf(ficlog,"\n"); |
|
|
#endif |
| /*************** transition probabilities **********/
|
} |
|
|
if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { |
| double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate )
|
#ifdef DEBUG |
| {
|
int k[2],l; |
| double s1, s2;
|
k[0]=1; |
| /*double t34;*/
|
k[1]=-1; |
| int i,j,j1, nc, ii, jj;
|
printf("Max: %.12e",(*func)(p)); |
|
|
fprintf(ficlog,"Max: %.12e",(*func)(p)); |
| for(i=1; i<= nlstate; i++){
|
for (j=1;j<=n;j++) { |
| for(j=1; j<i;j++){
|
printf(" %.12e",p[j]); |
| for (nc=1, s2=0.;nc <=ncovmodel; nc++){
|
fprintf(ficlog," %.12e",p[j]); |
| /*s2 += param[i][j][nc]*cov[nc];*/
|
} |
| s2 += x[(i-1)*nlstate*ncovmodel+(j-1)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];
|
printf("\n"); |
| /*printf("Int j<i s1=%.17e, s2=%.17e\n",s1,s2);*/
|
fprintf(ficlog,"\n"); |
| }
|
for(l=0;l<=1;l++) { |
| ps[i][j]=s2;
|
for (j=1;j<=n;j++) { |
| /*printf("s1=%.17e, s2=%.17e\n",s1,s2);*/
|
ptt[j]=p[j]+(p[j]-pt[j])*k[l]; |
| }
|
printf("l=%d j=%d ptt=%.12e, xits=%.12e, p=%.12e, xit=%.12e", l,j,ptt[j],xits[j],p[j],xit[j]); |
| for(j=i+1; j<=nlstate+ndeath;j++){
|
fprintf(ficlog,"l=%d j=%d ptt=%.12e, xits=%.12e, p=%.12e, xit=%.12e", l,j,ptt[j],xits[j],p[j],xit[j]); |
| for (nc=1, s2=0.;nc <=ncovmodel; nc++){
|
} |
| s2 += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];
|
printf("func(ptt)=%.12e, deriv=%.12e\n",(*func)(ptt),(ptt[j]-p[j])/((*func)(ptt)-(*func)(p))); |
| /*printf("Int j>i s1=%.17e, s2=%.17e %lx %lx\n",s1,s2,s1,s2);*/
|
fprintf(ficlog,"func(ptt)=%.12e, deriv=%.12e\n",(*func)(ptt),(ptt[j]-p[j])/((*func)(ptt)-(*func)(p))); |
| }
|
} |
| ps[i][j]=s2;
|
#endif |
| }
|
|
| }
|
|
| for(i=1; i<= nlstate; i++){
|
free_vector(xit,1,n); |
| s1=0;
|
free_vector(xits,1,n); |
| for(j=1; j<i; j++)
|
free_vector(ptt,1,n); |
| s1+=exp(ps[i][j]);
|
free_vector(pt,1,n); |
| for(j=i+1; j<=nlstate+ndeath; j++)
|
return; |
| s1+=exp(ps[i][j]);
|
} |
| ps[i][i]=1./(s1+1.);
|
if (*iter == ITMAX) nrerror("powell exceeding maximum iterations."); |
| for(j=1; j<i; j++)
|
for (j=1;j<=n;j++) { |
| ps[i][j]= exp(ps[i][j])*ps[i][i];
|
ptt[j]=2.0*p[j]-pt[j]; |
| for(j=i+1; j<=nlstate+ndeath; j++)
|
xit[j]=p[j]-pt[j]; |
| ps[i][j]= exp(ps[i][j])*ps[i][i];
|
pt[j]=p[j]; |
| /* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */
|
} |
| } /* end i */
|
fptt=(*func)(ptt); |
|
|
if (fptt < fp) { |
| for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){
|
t=2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del)-del*SQR(fp-fptt); |
| for(jj=1; jj<= nlstate+ndeath; jj++){
|
if (t < 0.0) { |
| ps[ii][jj]=0;
|
linmin(p,xit,n,fret,func); |
| ps[ii][ii]=1;
|
for (j=1;j<=n;j++) { |
| }
|
xi[j][ibig]=xi[j][n]; |
| }
|
xi[j][n]=xit[j]; |
|
|
} |
| /* for(ii=1; ii<= nlstate+ndeath; ii++){
|
#ifdef DEBUG |
| for(jj=1; jj<= nlstate+ndeath; jj++){
|
printf("Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); |
| printf("%lf ",ps[ii][jj]);
|
fprintf(ficlog,"Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); |
| }
|
for(j=1;j<=n;j++){ |
| printf("\n ");
|
printf(" %.12e",xit[j]); |
| }
|
fprintf(ficlog," %.12e",xit[j]); |
| printf("\n ");printf("%lf ",cov[2]);*/
|
} |
| /*
|
printf("\n"); |
| for(i=1; i<= npar; i++) printf("%f ",x[i]);
|
fprintf(ficlog,"\n"); |
| goto end;*/
|
#endif |
| return ps;
|
} |
| }
|
} |
|
|
} |
| /**************** Product of 2 matrices ******************/
|
} |
|
|
|
| double **matprod2(double **out, double **in,long nrl, long nrh, long ncl, long nch, long ncolol, long ncoloh, double **b)
|
/**** Prevalence limit (stable prevalence) ****************/ |
| {
|
|
| /* Computes the matric product of in(1,nrh-nrl+1)(1,nch-ncl+1) times
|
double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int ij) |
| b(1,nch-ncl+1)(1,ncoloh-ncolol+1) into out(...) */
|
{ |
| /* in, b, out are matrice of pointers which should have been initialized
|
/* Computes the prevalence limit in each live state at age x by left multiplying the unit |
| before: only the contents of out is modified. The function returns
|
matrix by transitions matrix until convergence is reached */ |
| a pointer to pointers identical to out */
|
|
| long i, j, k;
|
int i, ii,j,k; |
| for(i=nrl; i<= nrh; i++)
|
double min, max, maxmin, maxmax,sumnew=0.; |
| for(k=ncolol; k<=ncoloh; k++)
|
double **matprod2(); |
| for(j=ncl,out[i][k]=0.; j<=nch; j++)
|
double **out, cov[NCOVMAX], **pmij(); |
| out[i][k] +=in[i][j]*b[j][k];
|
double **newm; |
|
|
double agefin, delaymax=50 ; /* Max number of years to converge */ |
| return out;
|
|
| }
|
for (ii=1;ii<=nlstate+ndeath;ii++) |
|
|
for (j=1;j<=nlstate+ndeath;j++){ |
|
|
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
| /************* Higher Matrix Product ***************/
|
} |
|
|
|
| double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij )
|
cov[1]=1.; |
| {
|
|
| /* Computes the transition matrix starting at age 'age' over 'nhstepm*hstepm*stepm' month
|
/* Even if hstepm = 1, at least one multiplication by the unit matrix */ |
| duration (i.e. until
|
for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){ |
| age (in years) age+nhstepm*stepm/12) by multiplying nhstepm*hstepm matrices.
|
newm=savm; |
| Output is stored in matrix po[i][j][h] for h every 'hstepm' step
|
/* Covariates have to be included here again */ |
| (typically every 2 years instead of every month which is too big).
|
cov[2]=agefin; |
| Model is determined by parameters x and covariates have to be
|
|
| included manually here.
|
for (k=1; k<=cptcovn;k++) { |
|
|
cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; |
| */
|
/* printf("ij=%d k=%d Tvar[k]=%d nbcode=%d cov=%lf codtab[ij][Tvar[k]]=%d \n",ij,k, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k], codtab[ij][Tvar[k]]);*/ |
|
|
} |
| int i, j, d, h, k;
|
for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; |
| double **out, cov[NCOVMAX];
|
for (k=1; k<=cptcovprod;k++) |
| double **newm;
|
cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]]; |
|
|
|
| /* Hstepm could be zero and should return the unit matrix */
|
/*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ |
| for (i=1;i<=nlstate+ndeath;i++)
|
/*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ |
| for (j=1;j<=nlstate+ndeath;j++){
|
/*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/ |
| oldm[i][j]=(i==j ? 1.0 : 0.0);
|
out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); |
| po[i][j][0]=(i==j ? 1.0 : 0.0);
|
|
| }
|
savm=oldm; |
| /* Even if hstepm = 1, at least one multiplication by the unit matrix */
|
oldm=newm; |
| for(h=1; h <=nhstepm; h++){
|
maxmax=0.; |
| for(d=1; d <=hstepm; d++){
|
for(j=1;j<=nlstate;j++){ |
| newm=savm;
|
min=1.; |
| /* Covariates have to be included here again */
|
max=0.; |
| cov[1]=1.;
|
for(i=1; i<=nlstate; i++) { |
| cov[2]=age+((h-1)*hstepm + (d-1))*stepm/YEARM;
|
sumnew=0; |
| if (cptcovn>0){
|
for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k]; |
| for (k=1; k<=cptcovn;k++) cov[2+k]=nbcode[Tvar[k]][codtab[ij][k]];
|
prlim[i][j]= newm[i][j]/(1-sumnew); |
| }
|
max=FMAX(max,prlim[i][j]); |
| /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/
|
min=FMIN(min,prlim[i][j]); |
| /*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/
|
} |
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath,
|
maxmin=max-min; |
| pmij(pmmij,cov,ncovmodel,x,nlstate));
|
maxmax=FMAX(maxmax,maxmin); |
| savm=oldm;
|
} |
| oldm=newm;
|
if(maxmax < ftolpl){ |
| }
|
return prlim; |
| for(i=1; i<=nlstate+ndeath; i++)
|
} |
| for(j=1;j<=nlstate+ndeath;j++) {
|
} |
| po[i][j][h]=newm[i][j];
|
} |
| /*printf("i=%d j=%d h=%d po[i][j][h]=%f ",i,j,h,po[i][j][h]);
|
|
| */
|
/*************** transition probabilities ***************/ |
| }
|
|
| } /* end h */
|
double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate ) |
| return po;
|
{ |
| }
|
double s1, s2; |
|
|
/*double t34;*/ |
|
|
int i,j,j1, nc, ii, jj; |
| /*************** log-likelihood *************/
|
|
| double func( double *x)
|
for(i=1; i<= nlstate; i++){ |
| {
|
for(j=1; j<i;j++){ |
| int i, ii, j, k, mi, d;
|
for (nc=1, s2=0.;nc <=ncovmodel; nc++){ |
| double l, ll[NLSTATEMAX], cov[NCOVMAX];
|
/*s2 += param[i][j][nc]*cov[nc];*/ |
| double **out;
|
s2 += x[(i-1)*nlstate*ncovmodel+(j-1)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc]; |
| double sw; /* Sum of weights */
|
/*printf("Int j<i s1=%.17e, s2=%.17e\n",s1,s2);*/ |
| double lli; /* Individual log likelihood */
|
} |
| long ipmx;
|
ps[i][j]=s2; |
| /*extern weight */
|
/*printf("s1=%.17e, s2=%.17e\n",s1,s2);*/ |
| /* We are differentiating ll according to initial status */
|
} |
| /* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/
|
for(j=i+1; j<=nlstate+ndeath;j++){ |
| /*for(i=1;i<imx;i++)
|
for (nc=1, s2=0.;nc <=ncovmodel; nc++){ |
| printf(" %d\n",s[4][i]);
|
s2 += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc]; |
| */
|
/*printf("Int j>i s1=%.17e, s2=%.17e %lx %lx\n",s1,s2,s1,s2);*/ |
|
|
} |
| for(k=1; k<=nlstate; k++) ll[k]=0.;
|
ps[i][j]=s2; |
| for (i=1,ipmx=0, sw=0.; i<=imx; i++){
|
} |
| for(mi=1; mi<= wav[i]-1; mi++){
|
} |
| for (ii=1;ii<=nlstate+ndeath;ii++)
|
/*ps[3][2]=1;*/ |
| for (j=1;j<=nlstate+ndeath;j++) oldm[ii][j]=(ii==j ? 1.0 : 0.0);
|
|
| for(d=0; d<dh[mi][i]; d++){
|
for(i=1; i<= nlstate; i++){ |
| newm=savm;
|
s1=0; |
| cov[1]=1.;
|
for(j=1; j<i; j++) |
| cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
|
s1+=exp(ps[i][j]); |
| if (cptcovn>0){
|
for(j=i+1; j<=nlstate+ndeath; j++) |
| for (k=1; k<=cptcovn;k++) cov[2+k]=covar[1+k-1][i];
|
s1+=exp(ps[i][j]); |
| }
|
ps[i][i]=1./(s1+1.); |
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
|
for(j=1; j<i; j++) |
| 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
|
ps[i][j]= exp(ps[i][j])*ps[i][i]; |
| savm=oldm;
|
for(j=i+1; j<=nlstate+ndeath; j++) |
| oldm=newm;
|
ps[i][j]= exp(ps[i][j])*ps[i][i]; |
|
|
/* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */ |
|
|
} /* end i */ |
| } /* end mult */
|
|
|
|
for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){ |
| lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);
|
for(jj=1; jj<= nlstate+ndeath; jj++){ |
| /* printf(" %f ",out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/
|
ps[ii][jj]=0; |
| ipmx +=1;
|
ps[ii][ii]=1; |
| sw += weight[i];
|
} |
| ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
|
} |
| } /* end of wave */
|
|
| } /* end of individual */
|
|
|
|
/* for(ii=1; ii<= nlstate+ndeath; ii++){ |
| for(k=1,l=0.; k<=nlstate; k++) l += ll[k];
|
for(jj=1; jj<= nlstate+ndeath; jj++){ |
| /* printf("l1=%f l2=%f ",ll[1],ll[2]); */
|
printf("%lf ",ps[ii][jj]); |
| l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */
|
} |
| return -l;
|
printf("\n "); |
| }
|
} |
|
|
printf("\n ");printf("%lf ",cov[2]);*/ |
|
|
/* |
| /*********** Maximum Likelihood Estimation ***************/
|
for(i=1; i<= npar; i++) printf("%f ",x[i]); |
|
|
goto end;*/ |
| void mlikeli(FILE *ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (*func)(double []))
|
return ps; |
| {
|
} |
| int i,j, iter;
|
|
| double **xi,*delti;
|
/**************** Product of 2 matrices ******************/ |
| double fret;
|
|
| xi=matrix(1,npar,1,npar);
|
double **matprod2(double **out, double **in,long nrl, long nrh, long ncl, long nch, long ncolol, long ncoloh, double **b) |
| for (i=1;i<=npar;i++)
|
{ |
| for (j=1;j<=npar;j++)
|
/* Computes the matrix product of in(1,nrh-nrl+1)(1,nch-ncl+1) times |
| xi[i][j]=(i==j ? 1.0 : 0.0);
|
b(1,nch-ncl+1)(1,ncoloh-ncolol+1) into out(...) */ |
| printf("Powell\n");
|
/* in, b, out are matrice of pointers which should have been initialized |
| powell(p,xi,npar,ftol,&iter,&fret,func);
|
before: only the contents of out is modified. The function returns |
|
|
a pointer to pointers identical to out */ |
| printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));
|
long i, j, k; |
| fprintf(ficres,"#Number of iterations = %d, -2 Log likelihood = %.12f ",iter,func(p));
|
for(i=nrl; i<= nrh; i++) |
|
|
for(k=ncolol; k<=ncoloh; k++) |
| }
|
for(j=ncl,out[i][k]=0.; j<=nch; j++) |
|
|
out[i][k] +=in[i][j]*b[j][k]; |
| /**** Computes Hessian and covariance matrix ***/
|
|
| void hesscov(double **matcov, double p[], int npar, double delti[], double ftolhess, double (*func)(double []))
|
return out; |
| {
|
} |
| double **a,**y,*x,pd;
|
|
| double **hess;
|
|
| int i, j,jk;
|
/************* Higher Matrix Product ***************/ |
| int *indx;
|
|
|
|
double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij ) |
| double hessii(double p[], double delta, int theta, double delti[]);
|
{ |
| double hessij(double p[], double delti[], int i, int j);
|
/* Computes the transition matrix starting at age 'age' over |
| void lubksb(double **a, int npar, int *indx, double b[]) ;
|
'nhstepm*hstepm*stepm' months (i.e. until |
| void ludcmp(double **a, int npar, int *indx, double *d) ;
|
age (in years) age+nhstepm*hstepm*stepm/12) by multiplying |
|
|
nhstepm*hstepm matrices. |
|
|
Output is stored in matrix po[i][j][h] for h every 'hstepm' step |
| hess=matrix(1,npar,1,npar);
|
(typically every 2 years instead of every month which is too big |
|
|
for the memory). |
| printf("\nCalculation of the hessian matrix. Wait...\n");
|
Model is determined by parameters x and covariates have to be |
| for (i=1;i<=npar;i++){
|
included manually here. |
| printf("%d",i);fflush(stdout);
|
|
| hess[i][i]=hessii(p,ftolhess,i,delti);
|
*/ |
| /*printf(" %f ",p[i]);*/
|
|
| }
|
int i, j, d, h, k; |
|
|
double **out, cov[NCOVMAX]; |
| for (i=1;i<=npar;i++) {
|
double **newm; |
| for (j=1;j<=npar;j++) {
|
|
| if (j>i) {
|
/* Hstepm could be zero and should return the unit matrix */ |
| printf(".%d%d",i,j);fflush(stdout);
|
for (i=1;i<=nlstate+ndeath;i++) |
| hess[i][j]=hessij(p,delti,i,j);
|
for (j=1;j<=nlstate+ndeath;j++){ |
| hess[j][i]=hess[i][j];
|
oldm[i][j]=(i==j ? 1.0 : 0.0); |
| }
|
po[i][j][0]=(i==j ? 1.0 : 0.0); |
| }
|
} |
| }
|
/* Even if hstepm = 1, at least one multiplication by the unit matrix */ |
| printf("\n");
|
for(h=1; h <=nhstepm; h++){ |
|
|
for(d=1; d <=hstepm; d++){ |
| printf("\nInverting the hessian to get the covariance matrix. Wait...\n");
|
newm=savm; |
|
|
/* Covariates have to be included here again */ |
| a=matrix(1,npar,1,npar);
|
cov[1]=1.; |
| y=matrix(1,npar,1,npar);
|
cov[2]=age+((h-1)*hstepm + (d-1))*stepm/YEARM; |
| x=vector(1,npar);
|
for (k=1; k<=cptcovn;k++) cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; |
| indx=ivector(1,npar);
|
for (k=1; k<=cptcovage;k++) |
| for (i=1;i<=npar;i++)
|
cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; |
| for (j=1;j<=npar;j++) a[i][j]=hess[i][j];
|
for (k=1; k<=cptcovprod;k++) |
| ludcmp(a,npar,indx,&pd);
|
cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]]; |
|
|
|
| for (j=1;j<=npar;j++) {
|
|
| for (i=1;i<=npar;i++) x[i]=0;
|
/*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/ |
| x[j]=1;
|
/*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/ |
| lubksb(a,npar,indx,x);
|
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, |
| for (i=1;i<=npar;i++){
|
pmij(pmmij,cov,ncovmodel,x,nlstate)); |
| matcov[i][j]=x[i];
|
savm=oldm; |
| }
|
oldm=newm; |
| }
|
} |
|
|
for(i=1; i<=nlstate+ndeath; i++) |
| printf("\n#Hessian matrix#\n");
|
for(j=1;j<=nlstate+ndeath;j++) { |
| for (i=1;i<=npar;i++) {
|
po[i][j][h]=newm[i][j]; |
| for (j=1;j<=npar;j++) {
|
/*printf("i=%d j=%d h=%d po[i][j][h]=%f ",i,j,h,po[i][j][h]); |
| printf("%.3e ",hess[i][j]);
|
*/ |
| }
|
} |
| printf("\n");
|
} /* end h */ |
| }
|
return po; |
|
|
} |
| /* Recompute Inverse */
|
|
| for (i=1;i<=npar;i++)
|
|
| for (j=1;j<=npar;j++) a[i][j]=matcov[i][j];
|
/*************** log-likelihood *************/ |
| ludcmp(a,npar,indx,&pd);
|
double func( double *x) |
|
|
{ |
| /* printf("\n#Hessian matrix recomputed#\n");
|
int i, ii, j, k, mi, d, kk; |
|
|
double l, ll[NLSTATEMAX], cov[NCOVMAX]; |
| for (j=1;j<=npar;j++) {
|
double **out; |
| for (i=1;i<=npar;i++) x[i]=0;
|
double sw; /* Sum of weights */ |
| x[j]=1;
|
double lli; /* Individual log likelihood */ |
| lubksb(a,npar,indx,x);
|
int s1, s2; |
| for (i=1;i<=npar;i++){
|
double bbh, survp; |
| y[i][j]=x[i];
|
long ipmx; |
| printf("%.3e ",y[i][j]);
|
/*extern weight */ |
| }
|
/* We are differentiating ll according to initial status */ |
| printf("\n");
|
/* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/ |
| }
|
/*for(i=1;i<imx;i++) |
| */
|
printf(" %d\n",s[4][i]); |
|
|
*/ |
| free_matrix(a,1,npar,1,npar);
|
cov[1]=1.; |
| free_matrix(y,1,npar,1,npar);
|
|
| free_vector(x,1,npar);
|
for(k=1; k<=nlstate; k++) ll[k]=0.; |
| free_ivector(indx,1,npar);
|
|
| free_matrix(hess,1,npar,1,npar);
|
if(mle==1){ |
|
|
for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
|
|
for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i]; |
| }
|
for(mi=1; mi<= wav[i]-1; mi++){ |
|
|
for (ii=1;ii<=nlstate+ndeath;ii++) |
| /*************** hessian matrix ****************/
|
for (j=1;j<=nlstate+ndeath;j++){ |
| double hessii( double x[], double delta, int theta, double delti[])
|
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
| {
|
savm[ii][j]=(ii==j ? 1.0 : 0.0); |
| int i;
|
} |
| int l=1, lmax=20;
|
for(d=0; d<dh[mi][i]; d++){ |
| double k1,k2;
|
newm=savm; |
| double p2[NPARMAX+1];
|
cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM; |
| double res;
|
for (kk=1; kk<=cptcovage;kk++) { |
| double delt, delts, nkhi=10.,nkhif=1., khi=1.e-4;
|
cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2]; |
| double fx;
|
} |
| int k=0,kmax=10;
|
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| double l1;
|
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
|
|
savm=oldm; |
| fx=func(x);
|
oldm=newm; |
| for (i=1;i<=npar;i++) p2[i]=x[i];
|
} /* end mult */ |
| for(l=0 ; l <=lmax; l++){
|
|
| l1=pow(10,l);
|
/*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */ |
| delts=delt;
|
/* But now since version 0.9 we anticipate for bias and large stepm. |
| for(k=1 ; k <kmax; k=k+1){
|
* If stepm is larger than one month (smallest stepm) and if the exact delay |
| delt = delta*(l1*k);
|
* (in months) between two waves is not a multiple of stepm, we rounded to |
| p2[theta]=x[theta] +delt;
|
* the nearest (and in case of equal distance, to the lowest) interval but now |
| k1=func(p2)-fx;
|
* we keep into memory the bias bh[mi][i] and also the previous matrix product |
| p2[theta]=x[theta]-delt;
|
* (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the |
| k2=func(p2)-fx;
|
* probability in order to take into account the bias as a fraction of the way |
| /*res= (k1-2.0*fx+k2)/delt/delt; */
|
* from savm to out if bh is neagtive or even beyond if bh is positive. bh varies |
| res= (k1+k2)/delt/delt/2.; /* Divided by because L and not 2*L */
|
* -stepm/2 to stepm/2 . |
|
|
* For stepm=1 the results are the same as for previous versions of Imach. |
| #ifdef DEBUG
|
* For stepm > 1 the results are less biased than in previous versions. |
| printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
|
*/ |
| #endif
|
s1=s[mw[mi][i]][i]; |
| /*if(fabs(k1-2.0*fx+k2) <1.e-13){ */
|
s2=s[mw[mi+1][i]][i]; |
| if((k1 <khi/nkhi/2.) || (k2 <khi/nkhi/2.)){
|
bbh=(double)bh[mi][i]/(double)stepm; |
| k=kmax;
|
/* bias is positive if real duration |
| }
|
* is higher than the multiple of stepm and negative otherwise. |
| else if((k1 >khi/nkhif) || (k2 >khi/nkhif)){ /* Keeps lastvalue before 3.84/2 KHI2 5% 1d.f. */
|
*/ |
| k=kmax; l=lmax*10.;
|
/* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/ |
| }
|
if( s2 > nlstate){ |
| else if((k1 >khi/nkhi) || (k2 >khi/nkhi)){
|
/* i.e. if s2 is a death state and if the date of death is known then the contribution |
| delts=delt;
|
to the likelihood is the probability to die between last step unit time and current |
| }
|
step unit time, which is also the differences between probability to die before dh |
| }
|
and probability to die before dh-stepm . |
| }
|
In version up to 0.92 likelihood was computed |
| delti[theta]=delts;
|
as if date of death was unknown. Death was treated as any other |
| return res;
|
health state: the date of the interview describes the actual state |
|
|
and not the date of a change in health state. The former idea was |
| }
|
to consider that at each interview the state was recorded |
|
|
(healthy, disable or death) and IMaCh was corrected; but when we |
| double hessij( double x[], double delti[], int thetai,int thetaj)
|
introduced the exact date of death then we should have modified |
| {
|
the contribution of an exact death to the likelihood. This new |
| int i;
|
contribution is smaller and very dependent of the step unit |
| int l=1, l1, lmax=20;
|
stepm. It is no more the probability to die between last interview |
| double k1,k2,k3,k4,res,fx;
|
and month of death but the probability to survive from last |
| double p2[NPARMAX+1];
|
interview up to one month before death multiplied by the |
| int k;
|
probability to die within a month. Thanks to Chris |
|
|
Jackson for correcting this bug. Former versions increased |
| fx=func(x);
|
mortality artificially. The bad side is that we add another loop |
| for (k=1; k<=2; k++) {
|
which slows down the processing. The difference can be up to 10% |
| for (i=1;i<=npar;i++) p2[i]=x[i];
|
lower mortality. |
| p2[thetai]=x[thetai]+delti[thetai]/k;
|
*/ |
| p2[thetaj]=x[thetaj]+delti[thetaj]/k;
|
lli=log(out[s1][s2] - savm[s1][s2]); |
| k1=func(p2)-fx;
|
}else{ |
|
|
lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
| p2[thetai]=x[thetai]+delti[thetai]/k;
|
/* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2]));*/ /* linear interpolation */ |
| p2[thetaj]=x[thetaj]-delti[thetaj]/k;
|
} |
| k2=func(p2)-fx;
|
/*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/ |
|
|
/*if(lli ==000.0)*/ |
| p2[thetai]=x[thetai]-delti[thetai]/k;
|
/*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */ |
| p2[thetaj]=x[thetaj]+delti[thetaj]/k;
|
ipmx +=1; |
| k3=func(p2)-fx;
|
sw += weight[i]; |
|
|
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
| p2[thetai]=x[thetai]-delti[thetai]/k;
|
} /* end of wave */ |
| p2[thetaj]=x[thetaj]-delti[thetaj]/k;
|
} /* end of individual */ |
| k4=func(p2)-fx;
|
} else if(mle==2){ |
| res=(k1-k2-k3+k4)/4.0/delti[thetai]*k/delti[thetaj]*k/2.; /* Because of L not 2*L */
|
for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
| #ifdef DEBUG
|
for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i]; |
| printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
|
for(mi=1; mi<= wav[i]-1; mi++){ |
| #endif
|
for (ii=1;ii<=nlstate+ndeath;ii++) |
| }
|
for (j=1;j<=nlstate+ndeath;j++){ |
| return res;
|
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
| }
|
savm[ii][j]=(ii==j ? 1.0 : 0.0); |
|
|
} |
| /************** Inverse of matrix **************/
|
for(d=0; d<=dh[mi][i]; d++){ |
| void ludcmp(double **a, int n, int *indx, double *d)
|
newm=savm; |
| {
|
cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM; |
| int i,imax,j,k;
|
for (kk=1; kk<=cptcovage;kk++) { |
| double big,dum,sum,temp;
|
cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2]; |
| double *vv;
|
} |
|
|
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| vv=vector(1,n);
|
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
| *d=1.0;
|
savm=oldm; |
| for (i=1;i<=n;i++) {
|
oldm=newm; |
| big=0.0;
|
} /* end mult */ |
| for (j=1;j<=n;j++)
|
|
| if ((temp=fabs(a[i][j])) > big) big=temp;
|
/*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */ |
| if (big == 0.0) nrerror("Singular matrix in routine ludcmp");
|
/* But now since version 0.9 we anticipate for bias and large stepm. |
| vv[i]=1.0/big;
|
* If stepm is larger than one month (smallest stepm) and if the exact delay |
| }
|
* (in months) between two waves is not a multiple of stepm, we rounded to |
| for (j=1;j<=n;j++) {
|
* the nearest (and in case of equal distance, to the lowest) interval but now |
| for (i=1;i<j;i++) {
|
* we keep into memory the bias bh[mi][i] and also the previous matrix product |
| sum=a[i][j];
|
* (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the |
| for (k=1;k<i;k++) sum -= a[i][k]*a[k][j];
|
* probability in order to take into account the bias as a fraction of the way |
| a[i][j]=sum;
|
* from savm to out if bh is neagtive or even beyond if bh is positive. bh varies |
| }
|
* -stepm/2 to stepm/2 . |
| big=0.0;
|
* For stepm=1 the results are the same as for previous versions of Imach. |
| for (i=j;i<=n;i++) {
|
* For stepm > 1 the results are less biased than in previous versions. |
| sum=a[i][j];
|
*/ |
| for (k=1;k<j;k++)
|
s1=s[mw[mi][i]][i]; |
| sum -= a[i][k]*a[k][j];
|
s2=s[mw[mi+1][i]][i]; |
| a[i][j]=sum;
|
bbh=(double)bh[mi][i]/(double)stepm; |
| if ( (dum=vv[i]*fabs(sum)) >= big) {
|
/* bias is positive if real duration |
| big=dum;
|
* is higher than the multiple of stepm and negative otherwise. |
| imax=i;
|
*/ |
| }
|
lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2])); /* linear interpolation */ |
| }
|
/* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/ |
| if (j != imax) {
|
/*lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.-+bh)*out[s1][s2])); */ /* exponential interpolation */ |
| for (k=1;k<=n;k++) {
|
/*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/ |
| dum=a[imax][k];
|
/*if(lli ==000.0)*/ |
| a[imax][k]=a[j][k];
|
/*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */ |
| a[j][k]=dum;
|
ipmx +=1; |
| }
|
sw += weight[i]; |
| *d = -(*d);
|
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
| vv[imax]=vv[j];
|
} /* end of wave */ |
| }
|
} /* end of individual */ |
| indx[j]=imax;
|
} else if(mle==3){ /* exponential inter-extrapolation */ |
| if (a[j][j] == 0.0) a[j][j]=TINY;
|
for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
| if (j != n) {
|
for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i]; |
| dum=1.0/(a[j][j]);
|
for(mi=1; mi<= wav[i]-1; mi++){ |
| for (i=j+1;i<=n;i++) a[i][j] *= dum;
|
for (ii=1;ii<=nlstate+ndeath;ii++) |
| }
|
for (j=1;j<=nlstate+ndeath;j++){ |
| }
|
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
| free_vector(vv,1,n); /* Doesn't work */
|
savm[ii][j]=(ii==j ? 1.0 : 0.0); |
| ;
|
} |
| }
|
for(d=0; d<dh[mi][i]; d++){ |
|
|
newm=savm; |
| void lubksb(double **a, int n, int *indx, double b[])
|
cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM; |
| {
|
for (kk=1; kk<=cptcovage;kk++) { |
| int i,ii=0,ip,j;
|
cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2]; |
| double sum;
|
} |
|
|
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| for (i=1;i<=n;i++) {
|
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
| ip=indx[i];
|
savm=oldm; |
| sum=b[ip];
|
oldm=newm; |
| b[ip]=b[i];
|
} /* end mult */ |
| if (ii)
|
|
| for (j=ii;j<=i-1;j++) sum -= a[i][j]*b[j];
|
/*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */ |
| else if (sum) ii=i;
|
/* But now since version 0.9 we anticipate for bias and large stepm. |
| b[i]=sum;
|
* If stepm is larger than one month (smallest stepm) and if the exact delay |
| }
|
* (in months) between two waves is not a multiple of stepm, we rounded to |
| for (i=n;i>=1;i--) {
|
* the nearest (and in case of equal distance, to the lowest) interval but now |
| sum=b[i];
|
* we keep into memory the bias bh[mi][i] and also the previous matrix product |
| for (j=i+1;j<=n;j++) sum -= a[i][j]*b[j];
|
* (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the |
| b[i]=sum/a[i][i];
|
* probability in order to take into account the bias as a fraction of the way |
| }
|
* from savm to out if bh is neagtive or even beyond if bh is positive. bh varies |
| }
|
* -stepm/2 to stepm/2 . |
|
|
* For stepm=1 the results are the same as for previous versions of Imach. |
| /************ Frequencies ********************/
|
* For stepm > 1 the results are less biased than in previous versions. |
| void freqsummary(char fileres[], int agemin, int agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax)
|
*/ |
| { /* Some frequencies */
|
s1=s[mw[mi][i]][i]; |
|
|
s2=s[mw[mi+1][i]][i]; |
| int i, m, jk, k1, i1, j1, bool, z1,z2,j;
|
bbh=(double)bh[mi][i]/(double)stepm; |
| double ***freq; /* Frequencies */
|
/* bias is positive if real duration |
| double *pp;
|
* is higher than the multiple of stepm and negative otherwise. |
| double pos;
|
*/ |
| FILE *ficresp;
|
/* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2])); */ /* linear interpolation */ |
| char fileresp[FILENAMELENGTH];
|
lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */ |
|
|
/*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/ |
| pp=vector(1,nlstate);
|
/*if(lli ==000.0)*/ |
|
|
/*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */ |
| strcpy(fileresp,"p");
|
ipmx +=1; |
| strcat(fileresp,fileres);
|
sw += weight[i]; |
| if((ficresp=fopen(fileresp,"w"))==NULL) {
|
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
| printf("Problem with prevalence resultfile: %s\n", fileresp);
|
} /* end of wave */ |
| exit(0);
|
} /* end of individual */ |
| }
|
}else{ /* ml=4 no inter-extrapolation */ |
| freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3);
|
for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
| j1=0;
|
for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i]; |
|
|
for(mi=1; mi<= wav[i]-1; mi++){ |
| j=cptcovn;
|
for (ii=1;ii<=nlstate+ndeath;ii++) |
| if (cptcovn<1) {j=1;ncodemax[1]=1;}
|
for (j=1;j<=nlstate+ndeath;j++){ |
|
|
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
| for(k1=1; k1<=j;k1++){
|
savm[ii][j]=(ii==j ? 1.0 : 0.0); |
| for(i1=1; i1<=ncodemax[k1];i1++){
|
} |
| j1++;
|
for(d=0; d<dh[mi][i]; d++){ |
|
|
newm=savm; |
| for (i=-1; i<=nlstate+ndeath; i++)
|
cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM; |
| for (jk=-1; jk<=nlstate+ndeath; jk++)
|
for (kk=1; kk<=cptcovage;kk++) { |
| for(m=agemin; m <= agemax+3; m++)
|
cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2]; |
| freq[i][jk][m]=0;
|
} |
|
|
|
| for (i=1; i<=imx; i++) {
|
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| bool=1;
|
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
| if (cptcovn>0) {
|
savm=oldm; |
| for (z1=1; z1<=cptcovn; z1++)
|
oldm=newm; |
| if (covar[Tvar[z1]][i]!= nbcode[Tvar[z1]][codtab[j1][z1]]) bool=0;
|
} /* end mult */ |
| }
|
|
| if (bool==1) {
|
lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */ |
| for(m=firstpass; m<=lastpass-1; m++){
|
ipmx +=1; |
| if(agev[m][i]==0) agev[m][i]=agemax+1;
|
sw += weight[i]; |
| if(agev[m][i]==1) agev[m][i]=agemax+2;
|
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
| freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];
|
} /* end of wave */ |
| freq[s[m][i]][s[m+1][i]][(int) agemax+3] += weight[i];
|
} /* end of individual */ |
| }
|
} /* End of if */ |
| }
|
for(k=1,l=0.; k<=nlstate; k++) l += ll[k]; |
| }
|
/* printf("l1=%f l2=%f ",ll[1],ll[2]); */ |
| if (cptcovn>0) {
|
l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */ |
| fprintf(ficresp, "\n#Variable");
|
return -l; |
| for (z1=1; z1<=cptcovn; z1++) fprintf(ficresp, " V%d=%d",Tvar[z1],nbcode[Tvar[z1]][codtab[j1][z1]]);
|
} |
| }
|
|
| fprintf(ficresp, "\n#");
|
|
| for(i=1; i<=nlstate;i++)
|
/*********** Maximum Likelihood Estimation ***************/ |
| fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
|
|
| fprintf(ficresp, "\n");
|
void mlikeli(FILE *ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (*func)(double [])) |
|
|
{ |
| for(i=(int)agemin; i <= (int)agemax+3; i++){
|
int i,j, iter; |
| if(i==(int)agemax+3)
|
double **xi,*delti; |
| printf("Total");
|
double fret; |
| else
|
xi=matrix(1,npar,1,npar); |
| printf("Age %d", i);
|
for (i=1;i<=npar;i++) |
| for(jk=1; jk <=nlstate ; jk++){
|
for (j=1;j<=npar;j++) |
| for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++)
|
xi[i][j]=(i==j ? 1.0 : 0.0); |
| pp[jk] += freq[jk][m][i];
|
printf("Powell\n"); fprintf(ficlog,"Powell\n"); |
| }
|
powell(p,xi,npar,ftol,&iter,&fret,func); |
| for(jk=1; jk <=nlstate ; jk++){
|
|
| for(m=-1, pos=0; m <=0 ; m++)
|
printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p)); |
| pos += freq[jk][m][i];
|
fprintf(ficlog,"\n#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p)); |
| if(pp[jk]>=1.e-10)
|
fprintf(ficres,"#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p)); |
| printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
|
|
| else
|
} |
| printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);
|
|
| }
|
/**** Computes Hessian and covariance matrix ***/ |
| for(jk=1; jk <=nlstate ; jk++){
|
void hesscov(double **matcov, double p[], int npar, double delti[], double ftolhess, double (*func)(double [])) |
| for(m=1, pp[jk]=0; m <=nlstate+ndeath; m++)
|
{ |
| pp[jk] += freq[jk][m][i];
|
double **a,**y,*x,pd; |
| }
|
double **hess; |
| for(jk=1,pos=0; jk <=nlstate ; jk++)
|
int i, j,jk; |
| pos += pp[jk];
|
int *indx; |
| for(jk=1; jk <=nlstate ; jk++){
|
|
| if(pos>=1.e-5)
|
double hessii(double p[], double delta, int theta, double delti[]); |
| printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos);
|
double hessij(double p[], double delti[], int i, int j); |
| else
|
void lubksb(double **a, int npar, int *indx, double b[]) ; |
| printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
|
void ludcmp(double **a, int npar, int *indx, double *d) ; |
| if( i <= (int) agemax){
|
|
| if(pos>=1.e-5)
|
hess=matrix(1,npar,1,npar); |
| fprintf(ficresp," %d %.5f %.0f %.0f",i,pp[jk]/pos, pp[jk],pos);
|
|
| else
|
printf("\nCalculation of the hessian matrix. Wait...\n"); |
| fprintf(ficresp," %d NaNq %.0f %.0f",i,pp[jk],pos);
|
fprintf(ficlog,"\nCalculation of the hessian matrix. Wait...\n"); |
| }
|
for (i=1;i<=npar;i++){ |
| }
|
printf("%d",i);fflush(stdout); |
| for(jk=-1; jk <=nlstate+ndeath; jk++)
|
fprintf(ficlog,"%d",i);fflush(ficlog); |
| for(m=-1; m <=nlstate+ndeath; m++)
|
hess[i][i]=hessii(p,ftolhess,i,delti); |
| if(freq[jk][m][i] !=0 ) printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);
|
/*printf(" %f ",p[i]);*/ |
| if(i <= (int) agemax)
|
/*printf(" %lf ",hess[i][i]);*/ |
| fprintf(ficresp,"\n");
|
} |
| printf("\n");
|
|
| }
|
for (i=1;i<=npar;i++) { |
| }
|
for (j=1;j<=npar;j++) { |
| }
|
if (j>i) { |
|
|
printf(".%d%d",i,j);fflush(stdout); |
| fclose(ficresp);
|
fprintf(ficlog,".%d%d",i,j);fflush(ficlog); |
| free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3);
|
hess[i][j]=hessij(p,delti,i,j); |
| free_vector(pp,1,nlstate);
|
hess[j][i]=hess[i][j]; |
|
|
/*printf(" %lf ",hess[i][j]);*/ |
| } /* End of Freq */
|
} |
|
|
} |
| /************* Waves Concatenation ***************/
|
} |
|
|
printf("\n"); |
| void concatwav(int wav[], int **dh, int **mw, int **s, double *agedc, double **agev, int firstpass, int lastpass, int imx, int nlstate, int stepm)
|
fprintf(ficlog,"\n"); |
| {
|
|
| /* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i.
|
printf("\nInverting the hessian to get the covariance matrix. Wait...\n"); |
| Death is a valid wave (if date is known).
|
fprintf(ficlog,"\nInverting the hessian to get the covariance matrix. Wait...\n"); |
| mw[mi][i] is the mi (mi=1 to wav[i]) effective wave of individual i
|
|
| dh[m][i] of dh[mw[mi][i][i] is the delay between two effective waves m=mw[mi][i]
|
a=matrix(1,npar,1,npar); |
| and mw[mi+1][i]. dh depends on stepm.
|
y=matrix(1,npar,1,npar); |
| */
|
x=vector(1,npar); |
|
|
indx=ivector(1,npar); |
| int i, mi, m;
|
for (i=1;i<=npar;i++) |
| int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1;
|
for (j=1;j<=npar;j++) a[i][j]=hess[i][j]; |
| float sum=0.;
|
ludcmp(a,npar,indx,&pd); |
|
|
|
| for(i=1; i<=imx; i++){
|
for (j=1;j<=npar;j++) { |
| mi=0;
|
for (i=1;i<=npar;i++) x[i]=0; |
| m=firstpass;
|
x[j]=1; |
| while(s[m][i] <= nlstate){
|
lubksb(a,npar,indx,x); |
| if(s[m][i]>=1)
|
for (i=1;i<=npar;i++){ |
| mw[++mi][i]=m;
|
matcov[i][j]=x[i]; |
| if(m >=lastpass)
|
} |
| break;
|
} |
| else
|
|
| m++;
|
printf("\n#Hessian matrix#\n"); |
| }/* end while */
|
fprintf(ficlog,"\n#Hessian matrix#\n"); |
| if (s[m][i] > nlstate){
|
for (i=1;i<=npar;i++) { |
| mi++; /* Death is another wave */
|
for (j=1;j<=npar;j++) { |
| /* if(mi==0) never been interviewed correctly before death */
|
printf("%.3e ",hess[i][j]); |
| /* Only death is a correct wave */
|
fprintf(ficlog,"%.3e ",hess[i][j]); |
| mw[mi][i]=m;
|
} |
| }
|
printf("\n"); |
|
|
fprintf(ficlog,"\n"); |
| wav[i]=mi;
|
} |
| if(mi==0)
|
|
| printf("Warning, no any valid information for:%d line=%d\n",num[i],i);
|
/* Recompute Inverse */ |
| }
|
for (i=1;i<=npar;i++) |
|
|
for (j=1;j<=npar;j++) a[i][j]=matcov[i][j]; |
| for(i=1; i<=imx; i++){
|
ludcmp(a,npar,indx,&pd); |
| for(mi=1; mi<wav[i];mi++){
|
|
| if (stepm <=0)
|
/* printf("\n#Hessian matrix recomputed#\n"); |
| dh[mi][i]=1;
|
|
| else{
|
for (j=1;j<=npar;j++) { |
| if (s[mw[mi+1][i]][i] > nlstate) {
|
for (i=1;i<=npar;i++) x[i]=0; |
| j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12);
|
x[j]=1; |
| if(j=0) j=1; /* Survives at least one month after exam */
|
lubksb(a,npar,indx,x); |
| }
|
for (i=1;i<=npar;i++){ |
| else{
|
y[i][j]=x[i]; |
| j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12));
|
printf("%.3e ",y[i][j]); |
| k=k+1;
|
fprintf(ficlog,"%.3e ",y[i][j]); |
| if (j >= jmax) jmax=j;
|
} |
| else if (j <= jmin)jmin=j;
|
printf("\n"); |
| sum=sum+j;
|
fprintf(ficlog,"\n"); |
| }
|
} |
| jk= j/stepm;
|
*/ |
| jl= j -jk*stepm;
|
|
| ju= j -(jk+1)*stepm;
|
free_matrix(a,1,npar,1,npar); |
| if(jl <= -ju)
|
free_matrix(y,1,npar,1,npar); |
| dh[mi][i]=jk;
|
free_vector(x,1,npar); |
| else
|
free_ivector(indx,1,npar); |
| dh[mi][i]=jk+1;
|
free_matrix(hess,1,npar,1,npar); |
| if(dh[mi][i]==0)
|
|
| dh[mi][i]=1; /* At least one step */
|
|
| }
|
} |
| }
|
|
| }
|
/*************** hessian matrix ****************/ |
| printf("Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,sum/k);
|
double hessii( double x[], double delta, int theta, double delti[]) |
| }
|
{ |
| /*********** Tricode ****************************/
|
int i; |
| void tricode(int *Tvar, int **nbcode, int imx)
|
int l=1, lmax=20; |
| {
|
double k1,k2; |
| int Ndum[80],ij, k, j, i;
|
double p2[NPARMAX+1]; |
| int cptcode=0;
|
double res; |
| for (k=0; k<79; k++) Ndum[k]=0;
|
double delt, delts, nkhi=10.,nkhif=1., khi=1.e-4; |
| for (k=1; k<=7; k++) ncodemax[k]=0;
|
double fx; |
|
|
int k=0,kmax=10; |
| for (j=1; j<=cptcovn; j++) {
|
double l1; |
| for (i=1; i<=imx; i++) {
|
|
| ij=(int)(covar[Tvar[j]][i]);
|
fx=func(x); |
| Ndum[ij]++;
|
for (i=1;i<=npar;i++) p2[i]=x[i]; |
| if (ij > cptcode) cptcode=ij;
|
for(l=0 ; l <=lmax; l++){ |
| }
|
l1=pow(10,l); |
| /*printf("cptcode=%d cptcovn=%d ",cptcode,cptcovn);*/
|
delts=delt; |
| for (i=0; i<=cptcode; i++) {
|
for(k=1 ; k <kmax; k=k+1){ |
| if(Ndum[i]!=0) ncodemax[j]++;
|
delt = delta*(l1*k); |
| }
|
p2[theta]=x[theta] +delt; |
|
|
k1=func(p2)-fx; |
| ij=1;
|
p2[theta]=x[theta]-delt; |
| for (i=1; i<=ncodemax[j]; i++) {
|
k2=func(p2)-fx; |
| for (k=0; k<=79; k++) {
|
/*res= (k1-2.0*fx+k2)/delt/delt; */ |
| if (Ndum[k] != 0) {
|
res= (k1+k2)/delt/delt/2.; /* Divided by because L and not 2*L */ |
| nbcode[Tvar[j]][ij]=k;
|
|
| ij++;
|
#ifdef DEBUG |
| }
|
printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx); |
| if (ij > ncodemax[j]) break;
|
fprintf(ficlog,"%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx); |
| }
|
#endif |
| }
|
/*if(fabs(k1-2.0*fx+k2) <1.e-13){ */ |
| }
|
if((k1 <khi/nkhi/2.) || (k2 <khi/nkhi/2.)){ |
|
|
k=kmax; |
| }
|
} |
|
|
else if((k1 >khi/nkhif) || (k2 >khi/nkhif)){ /* Keeps lastvalue before 3.84/2 KHI2 5% 1d.f. */ |
| /*********** Health Expectancies ****************/
|
k=kmax; l=lmax*10.; |
|
|
} |
| void evsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int ij)
|
else if((k1 >khi/nkhi) || (k2 >khi/nkhi)){ |
| {
|
delts=delt; |
| /* Health expectancies */
|
} |
| int i, j, nhstepm, hstepm, h;
|
} |
| double age, agelim,hf;
|
} |
| double ***p3mat;
|
delti[theta]=delts; |
|
|
return res; |
| fprintf(ficreseij,"# Health expectancies\n");
|
|
| fprintf(ficreseij,"# Age");
|
} |
| for(i=1; i<=nlstate;i++)
|
|
| for(j=1; j<=nlstate;j++)
|
double hessij( double x[], double delti[], int thetai,int thetaj) |
| fprintf(ficreseij," %1d-%1d",i,j);
|
{ |
| fprintf(ficreseij,"\n");
|
int i; |
|
|
int l=1, l1, lmax=20; |
| hstepm=1*YEARM; /* Every j years of age (in month) */
|
double k1,k2,k3,k4,res,fx; |
| hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */
|
double p2[NPARMAX+1]; |
|
|
int k; |
| agelim=AGESUP;
|
|
| for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
|
fx=func(x); |
| /* nhstepm age range expressed in number of stepm */
|
for (k=1; k<=2; k++) { |
| nhstepm=(int) rint((agelim-age)*YEARM/stepm);
|
for (i=1;i<=npar;i++) p2[i]=x[i]; |
| /* Typically if 20 years = 20*12/6=40 stepm */
|
p2[thetai]=x[thetai]+delti[thetai]/k; |
| if (stepm >= YEARM) hstepm=1;
|
p2[thetaj]=x[thetaj]+delti[thetaj]/k; |
| nhstepm = nhstepm/hstepm;/* Expressed in hstepm, typically 40/4=10 */
|
k1=func(p2)-fx; |
| p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
|
|
| /* Computed by stepm unit matrices, product of hstepm matrices, stored
|
p2[thetai]=x[thetai]+delti[thetai]/k; |
| in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */
|
p2[thetaj]=x[thetaj]-delti[thetaj]/k; |
| hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, ij);
|
k2=func(p2)-fx; |
|
|
|
|
|
p2[thetai]=x[thetai]-delti[thetai]/k; |
| for(i=1; i<=nlstate;i++)
|
p2[thetaj]=x[thetaj]+delti[thetaj]/k; |
| for(j=1; j<=nlstate;j++)
|
k3=func(p2)-fx; |
| for (h=0, eij[i][j][(int)age]=0; h<=nhstepm; h++){
|
|
| eij[i][j][(int)age] +=p3mat[i][j][h];
|
p2[thetai]=x[thetai]-delti[thetai]/k; |
| }
|
p2[thetaj]=x[thetaj]-delti[thetaj]/k; |
|
|
k4=func(p2)-fx; |
| hf=1;
|
res=(k1-k2-k3+k4)/4.0/delti[thetai]*k/delti[thetaj]*k/2.; /* Because of L not 2*L */ |
| if (stepm >= YEARM) hf=stepm/YEARM;
|
#ifdef DEBUG |
| fprintf(ficreseij,"%.0f",age );
|
printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); |
| for(i=1; i<=nlstate;i++)
|
fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); |
| for(j=1; j<=nlstate;j++){
|
#endif |
| fprintf(ficreseij," %.4f", hf*eij[i][j][(int)age]);
|
} |
| }
|
return res; |
| fprintf(ficreseij,"\n");
|
} |
| free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
|
|
| }
|
/************** Inverse of matrix **************/ |
| }
|
void ludcmp(double **a, int n, int *indx, double *d) |
|
|
{ |
| /************ Variance ******************/
|
int i,imax,j,k; |
| void varevsij(char fileres[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij)
|
double big,dum,sum,temp; |
| {
|
double *vv; |
| /* Variance of health expectancies */
|
|
| /* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/
|
vv=vector(1,n); |
| double **newm;
|
*d=1.0; |
| double **dnewm,**doldm;
|
for (i=1;i<=n;i++) { |
| int i, j, nhstepm, hstepm, h;
|
big=0.0; |
| int k, cptcode;
|
for (j=1;j<=n;j++) |
| double *xp;
|
if ((temp=fabs(a[i][j])) > big) big=temp; |
| double **gp, **gm;
|
if (big == 0.0) nrerror("Singular matrix in routine ludcmp"); |
| double ***gradg, ***trgradg;
|
vv[i]=1.0/big; |
| double ***p3mat;
|
} |
| double age,agelim;
|
for (j=1;j<=n;j++) { |
| int theta;
|
for (i=1;i<j;i++) { |
|
|
sum=a[i][j]; |
| fprintf(ficresvij,"# Covariances of life expectancies\n");
|
for (k=1;k<i;k++) sum -= a[i][k]*a[k][j]; |
| fprintf(ficresvij,"# Age");
|
a[i][j]=sum; |
| for(i=1; i<=nlstate;i++)
|
} |
| for(j=1; j<=nlstate;j++)
|
big=0.0; |
| fprintf(ficresvij," Cov(e%1d, e%1d)",i,j);
|
for (i=j;i<=n;i++) { |
| fprintf(ficresvij,"\n");
|
sum=a[i][j]; |
|
|
for (k=1;k<j;k++) |
| xp=vector(1,npar);
|
sum -= a[i][k]*a[k][j]; |
| dnewm=matrix(1,nlstate,1,npar);
|
a[i][j]=sum; |
| doldm=matrix(1,nlstate,1,nlstate);
|
if ( (dum=vv[i]*fabs(sum)) >= big) { |
|
|
big=dum; |
| hstepm=1*YEARM; /* Every year of age */
|
imax=i; |
| hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */
|
} |
| agelim = AGESUP;
|
} |
| for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
|
if (j != imax) { |
| nhstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */
|
for (k=1;k<=n;k++) { |
| if (stepm >= YEARM) hstepm=1;
|
dum=a[imax][k]; |
| nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
|
a[imax][k]=a[j][k]; |
| p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
|
a[j][k]=dum; |
| gradg=ma3x(0,nhstepm,1,npar,1,nlstate);
|
} |
| gp=matrix(0,nhstepm,1,nlstate);
|
*d = -(*d); |
| gm=matrix(0,nhstepm,1,nlstate);
|
vv[imax]=vv[j]; |
|
|
} |
| for(theta=1; theta <=npar; theta++){
|
indx[j]=imax; |
| for(i=1; i<=npar; i++){ /* Computes gradient */
|
if (a[j][j] == 0.0) a[j][j]=TINY; |
| xp[i] = x[i] + (i==theta ?delti[theta]:0);
|
if (j != n) { |
| }
|
dum=1.0/(a[j][j]); |
| hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
|
for (i=j+1;i<=n;i++) a[i][j] *= dum; |
| prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
|
} |
| for(j=1; j<= nlstate; j++){
|
} |
| for(h=0; h<=nhstepm; h++){
|
free_vector(vv,1,n); /* Doesn't work */ |
| for(i=1, gp[h][j]=0.;i<=nlstate;i++)
|
; |
| gp[h][j] += prlim[i][i]*p3mat[i][j][h];
|
} |
| }
|
|
| }
|
void lubksb(double **a, int n, int *indx, double b[]) |
|
|
{ |
| for(i=1; i<=npar; i++) /* Computes gradient */
|
int i,ii=0,ip,j; |
| xp[i] = x[i] - (i==theta ?delti[theta]:0);
|
double sum; |
| hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
|
|
| prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
|
for (i=1;i<=n;i++) { |
| for(j=1; j<= nlstate; j++){
|
ip=indx[i]; |
| for(h=0; h<=nhstepm; h++){
|
sum=b[ip]; |
| for(i=1, gm[h][j]=0.;i<=nlstate;i++)
|
b[ip]=b[i]; |
| gm[h][j] += prlim[i][i]*p3mat[i][j][h];
|
if (ii) |
| }
|
for (j=ii;j<=i-1;j++) sum -= a[i][j]*b[j]; |
| }
|
else if (sum) ii=i; |
| for(j=1; j<= nlstate; j++)
|
b[i]=sum; |
| for(h=0; h<=nhstepm; h++){
|
} |
| gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
|
for (i=n;i>=1;i--) { |
| }
|
sum=b[i]; |
| } /* End theta */
|
for (j=i+1;j<=n;j++) sum -= a[i][j]*b[j]; |
|
|
b[i]=sum/a[i][i]; |
| trgradg =ma3x(0,nhstepm,1,nlstate,1,npar);
|
} |
|
|
} |
| for(h=0; h<=nhstepm; h++)
|
|
| for(j=1; j<=nlstate;j++)
|
/************ Frequencies ********************/ |
| for(theta=1; theta <=npar; theta++)
|
void freqsummary(char fileres[], int agemin, int agemax, int **s, double **agev, int nlstate, int imx, int *Tvaraff, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2,double jprev1, double mprev1,double anprev1,double jprev2, double mprev2,double anprev2) |
| trgradg[h][j][theta]=gradg[h][theta][j];
|
{ /* Some frequencies */ |
|
|
|
| for(i=1;i<=nlstate;i++)
|
int i, m, jk, k1,i1, j1, bool, z1,z2,j; |
| for(j=1;j<=nlstate;j++)
|
int first; |
| vareij[i][j][(int)age] =0.;
|
double ***freq; /* Frequencies */ |
| for(h=0;h<=nhstepm;h++){
|
double *pp; |
| for(k=0;k<=nhstepm;k++){
|
double pos, k2, dateintsum=0,k2cpt=0; |
| matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov);
|
FILE *ficresp; |
| matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg[k]);
|
char fileresp[FILENAMELENGTH]; |
| for(i=1;i<=nlstate;i++)
|
|
| for(j=1;j<=nlstate;j++)
|
pp=vector(1,nlstate); |
| vareij[i][j][(int)age] += doldm[i][j];
|
probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX); |
| }
|
strcpy(fileresp,"p"); |
| }
|
strcat(fileresp,fileres); |
| h=1;
|
if((ficresp=fopen(fileresp,"w"))==NULL) { |
| if (stepm >= YEARM) h=stepm/YEARM;
|
printf("Problem with prevalence resultfile: %s\n", fileresp); |
| fprintf(ficresvij,"%.0f ",age );
|
fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp); |
| for(i=1; i<=nlstate;i++)
|
exit(0); |
| for(j=1; j<=nlstate;j++){
|
} |
| fprintf(ficresvij," %.4f", h*vareij[i][j][(int)age]);
|
freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3); |
| }
|
j1=0; |
| fprintf(ficresvij,"\n");
|
|
| free_matrix(gp,0,nhstepm,1,nlstate);
|
j=cptcoveff; |
| free_matrix(gm,0,nhstepm,1,nlstate);
|
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
| free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate);
|
|
| free_ma3x(trgradg,0,nhstepm,1,nlstate,1,npar);
|
first=1; |
| free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
|
|
| } /* End age */
|
for(k1=1; k1<=j;k1++){ |
|
|
for(i1=1; i1<=ncodemax[k1];i1++){ |
| free_vector(xp,1,npar);
|
j1++; |
| free_matrix(doldm,1,nlstate,1,npar);
|
/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); |
| free_matrix(dnewm,1,nlstate,1,nlstate);
|
scanf("%d", i);*/ |
|
|
for (i=-1; i<=nlstate+ndeath; i++) |
| }
|
for (jk=-1; jk<=nlstate+ndeath; jk++) |
|
|
for(m=agemin; m <= agemax+3; m++) |
| /************ Variance of prevlim ******************/
|
freq[i][jk][m]=0; |
| void varprevlim(char fileres[], double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij)
|
|
| {
|
dateintsum=0; |
| /* Variance of prevalence limit */
|
k2cpt=0; |
| /* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/
|
for (i=1; i<=imx; i++) { |
| double **newm;
|
bool=1; |
| double **dnewm,**doldm;
|
if (cptcovn>0) { |
| int i, j, nhstepm, hstepm;
|
for (z1=1; z1<=cptcoveff; z1++) |
| int k, cptcode;
|
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]) |
| double *xp;
|
bool=0; |
| double *gp, *gm;
|
} |
| double **gradg, **trgradg;
|
if (bool==1){ |
| double age,agelim;
|
for(m=firstpass; m<=lastpass; m++){ |
| int theta;
|
k2=anint[m][i]+(mint[m][i]/12.); |
|
|
if ((k2>=dateprev1) && (k2<=dateprev2)) { |
| fprintf(ficresvpl,"# Standard deviation of prevalences limit\n");
|
if(agev[m][i]==0) agev[m][i]=agemax+1; |
| fprintf(ficresvpl,"# Age");
|
if(agev[m][i]==1) agev[m][i]=agemax+2; |
| for(i=1; i<=nlstate;i++)
|
if (m<lastpass) { |
| fprintf(ficresvpl," %1d-%1d",i,i);
|
freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i]; |
| fprintf(ficresvpl,"\n");
|
freq[s[m][i]][s[m+1][i]][(int) agemax+3] += weight[i]; |
|
|
} |
| xp=vector(1,npar);
|
|
| dnewm=matrix(1,nlstate,1,npar);
|
if ((agev[m][i]>1) && (agev[m][i]< (agemax+3))) { |
| doldm=matrix(1,nlstate,1,nlstate);
|
dateintsum=dateintsum+k2; |
|
|
k2cpt++; |
| hstepm=1*YEARM; /* Every year of age */
|
} |
| hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */
|
} |
| agelim = AGESUP;
|
} |
| for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
|
} |
| nhstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */
|
} |
| if (stepm >= YEARM) hstepm=1;
|
|
| nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
|
fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); |
| gradg=matrix(1,npar,1,nlstate);
|
|
| gp=vector(1,nlstate);
|
if (cptcovn>0) { |
| gm=vector(1,nlstate);
|
fprintf(ficresp, "\n#********** Variable "); |
|
|
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]); |
| for(theta=1; theta <=npar; theta++){
|
fprintf(ficresp, "**********\n#"); |
| for(i=1; i<=npar; i++){ /* Computes gradient */
|
} |
| xp[i] = x[i] + (i==theta ?delti[theta]:0);
|
for(i=1; i<=nlstate;i++) |
| }
|
fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i); |
| prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
|
fprintf(ficresp, "\n"); |
| for(i=1;i<=nlstate;i++)
|
|
| gp[i] = prlim[i][i];
|
for(i=(int)agemin; i <= (int)agemax+3; i++){ |
|
|
if(i==(int)agemax+3){ |
| for(i=1; i<=npar; i++) /* Computes gradient */
|
fprintf(ficlog,"Total"); |
| xp[i] = x[i] - (i==theta ?delti[theta]:0);
|
}else{ |
| prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
|
if(first==1){ |
| for(i=1;i<=nlstate;i++)
|
first=0; |
| gm[i] = prlim[i][i];
|
printf("See log file for details...\n"); |
|
|
} |
| for(i=1;i<=nlstate;i++)
|
fprintf(ficlog,"Age %d", i); |
| gradg[theta][i]= (gp[i]-gm[i])/2./delti[theta];
|
} |
| } /* End theta */
|
for(jk=1; jk <=nlstate ; jk++){ |
|
|
for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) |
| trgradg =matrix(1,nlstate,1,npar);
|
pp[jk] += freq[jk][m][i]; |
|
|
} |
| for(j=1; j<=nlstate;j++)
|
for(jk=1; jk <=nlstate ; jk++){ |
| for(theta=1; theta <=npar; theta++)
|
for(m=-1, pos=0; m <=0 ; m++) |
| trgradg[j][theta]=gradg[theta][j];
|
pos += freq[jk][m][i]; |
|
|
if(pp[jk]>=1.e-10){ |
| for(i=1;i<=nlstate;i++)
|
if(first==1){ |
| varpl[i][(int)age] =0.;
|
printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); |
| matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov);
|
} |
| matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);
|
fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); |
| for(i=1;i<=nlstate;i++)
|
}else{ |
| varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */
|
if(first==1) |
|
|
printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); |
| fprintf(ficresvpl,"%.0f ",age );
|
fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); |
| for(i=1; i<=nlstate;i++)
|
} |
| fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age]));
|
} |
| fprintf(ficresvpl,"\n");
|
|
| free_vector(gp,1,nlstate);
|
for(jk=1; jk <=nlstate ; jk++){ |
| free_vector(gm,1,nlstate);
|
for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++) |
| free_matrix(gradg,1,npar,1,nlstate);
|
pp[jk] += freq[jk][m][i]; |
| free_matrix(trgradg,1,nlstate,1,npar);
|
} |
| } /* End age */
|
|
|
|
for(jk=1,pos=0; jk <=nlstate ; jk++) |
| free_vector(xp,1,npar);
|
pos += pp[jk]; |
| free_matrix(doldm,1,nlstate,1,npar);
|
for(jk=1; jk <=nlstate ; jk++){ |
| free_matrix(dnewm,1,nlstate,1,nlstate);
|
if(pos>=1.e-5){ |
|
|
if(first==1) |
| }
|
printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); |
|
|
fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); |
|
|
}else{ |
|
|
if(first==1) |
| /***********************************************/
|
printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); |
| /**************** Main Program *****************/
|
fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); |
| /***********************************************/
|
} |
|
|
if( i <= (int) agemax){ |
| /*int main(int argc, char *argv[])*/
|
if(pos>=1.e-5){ |
| int main()
|
fprintf(ficresp," %d %.5f %.0f %.0f",i,pp[jk]/pos, pp[jk],pos); |
| {
|
probs[i][jk][j1]= pp[jk]/pos; |
|
|
/*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/ |
| int i,j, k, n=MAXN,iter,m,size,cptcode, aaa, cptcod;
|
} |
| double agedeb, agefin,hf;
|
else |
| double agemin=1.e20, agemax=-1.e20;
|
fprintf(ficresp," %d NaNq %.0f %.0f",i,pp[jk],pos); |
|
|
} |
| double fret;
|
} |
| double **xi,tmp,delta;
|
|
|
|
for(jk=-1; jk <=nlstate+ndeath; jk++) |
| double dum; /* Dummy variable */
|
for(m=-1; m <=nlstate+ndeath; m++) |
| double ***p3mat;
|
if(freq[jk][m][i] !=0 ) { |
| int *indx;
|
if(first==1) |
| char line[MAXLINE], linepar[MAXLINE];
|
printf(" %d%d=%.0f",jk,m,freq[jk][m][i]); |
| char title[MAXLINE];
|
fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]); |
| char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH], filerespl[FILENAMELENGTH];
|
} |
| char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH];
|
if(i <= (int) agemax) |
| char filerest[FILENAMELENGTH];
|
fprintf(ficresp,"\n"); |
| char fileregp[FILENAMELENGTH];
|
if(first==1) |
| char path[80],pathc[80],pathcd[80],pathtot[80],model[20];
|
printf("Others in log...\n"); |
| int firstobs=1, lastobs=10;
|
fprintf(ficlog,"\n"); |
| int sdeb, sfin; /* Status at beginning and end */
|
} |
| int c, h , cpt,l;
|
} |
| int ju,jl, mi;
|
} |
| int i1,j1, k1,jk,aa,bb, stepsize;
|
dateintmean=dateintsum/k2cpt; |
| int jnais,jdc,jint4,jint1,jint2,jint3,**outcome,**adl,*tab;
|
|
|
|
fclose(ficresp); |
| int hstepm, nhstepm;
|
free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3); |
| double bage, fage, age, agelim, agebase;
|
free_vector(pp,1,nlstate); |
| double ftolpl=FTOL;
|
|
| double **prlim;
|
/* End of Freq */ |
| double *severity;
|
} |
| double ***param; /* Matrix of parameters */
|
|
| double *p;
|
/************ Prevalence ********************/ |
| double **matcov; /* Matrix of covariance */
|
void prevalence(int agemin, float agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, int firstpass, int lastpass) |
| double ***delti3; /* Scale */
|
{ |
| double *delti; /* Scale */
|
/* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people |
| double ***eij, ***vareij;
|
in each health status at the date of interview (if between dateprev1 and dateprev2). |
| double **varpl; /* Variances of prevalence limits by age */
|
We still use firstpass and lastpass as another selection. |
| double *epj, vepp;
|
*/ |
| char version[80]="Imach version 0.64, May 2000, INED-EUROREVES ";
|
|
| char *alph[]={"a","a","b","c","d","e"}, str[4];
|
int i, m, jk, k1, i1, j1, bool, z1,z2,j; |
| char z[1]="c", occ;
|
double ***freq; /* Frequencies */ |
| #include <sys/time.h>
|
double *pp; |
| #include <time.h>
|
double pos; |
| char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];
|
double y2; /* in fractional years */ |
| /* long total_usecs;
|
|
| struct timeval start_time, end_time;
|
pp=vector(1,nlstate); |
|
|
|
| gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */
|
freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3); |
|
|
j1=0; |
|
|
|
| printf("\nIMACH, Version 0.64a");
|
j=cptcoveff; |
| printf("\nEnter the parameter file name: ");
|
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
|
|
|
| #ifdef windows
|
for(k1=1; k1<=j;k1++){ |
| scanf("%s",pathtot);
|
for(i1=1; i1<=ncodemax[k1];i1++){ |
| cygwin_split_path(pathtot,path,optionfile);
|
j1++; |
| printf("pathtot=%s, path=%s, optionfile=%s\n",pathtot,path,optionfile);
|
|
| chdir(path);
|
for (i=-1; i<=nlstate+ndeath; i++) |
|
|
for (jk=-1; jk<=nlstate+ndeath; jk++) |
| /*size=30;
|
for(m=agemin; m <= agemax+3; m++) |
| getcwd(pathcd, size);
|
freq[i][jk][m]=0; |
| printf("pathcd=%s, path=%s, optionfile=%s\n",pathcd,path,optionfile);
|
|
| cutv(path,optionfile,pathtot,'\\');
|
for (i=1; i<=imx; i++) { /* Each individual */ |
| chdir(path);
|
bool=1; |
| replace(pathc,path);
|
if (cptcovn>0) { |
| printf("pathtot=%s, path=%s, optionfile=%s\n",pathtot,path,optionfile);
|
for (z1=1; z1<=cptcoveff; z1++) |
| */
|
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]) |
| #endif
|
bool=0; |
| #ifdef unix
|
} |
| scanf("%s",optionfile);
|
if (bool==1) { |
| #endif
|
for(m=firstpass; m<=lastpass; m++){/* Other selection (we can limit to certain interviews*/ |
|
|
y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */ |
| /*-------- arguments in the command line --------*/
|
if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */ |
|
|
if(agev[m][i]==0) agev[m][i]=agemax+1; |
| strcpy(fileres,"r");
|
if(agev[m][i]==1) agev[m][i]=agemax+2; |
| strcat(fileres, optionfile);
|
if (m<lastpass) { |
|
|
freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i]; |
| /*---------arguments file --------*/
|
freq[s[m][i]][s[m+1][i]][(int)(agemax+3)] += weight[i]; |
|
|
} |
| if((ficpar=fopen(optionfile,"r"))==NULL) {
|
} |
| printf("Problem with optionfile %s\n",optionfile);
|
} /* end selection of waves */ |
| goto end;
|
} |
| }
|
} |
|
|
for(i=(int)agemin; i <= (int)agemax+3; i++){ |
| strcpy(filereso,"o");
|
for(jk=1; jk <=nlstate ; jk++){ |
| strcat(filereso,fileres);
|
for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) |
| if((ficparo=fopen(filereso,"w"))==NULL) {
|
pp[jk] += freq[jk][m][i]; |
| printf("Problem with Output resultfile: %s\n", filereso);goto end;
|
} |
| }
|
for(jk=1; jk <=nlstate ; jk++){ |
|
|
for(m=-1, pos=0; m <=0 ; m++) |
| /* Reads comments: lines beginning with '#' */
|
pos += freq[jk][m][i]; |
| while((c=getc(ficpar))=='#' && c!= EOF){
|
} |
| ungetc(c,ficpar);
|
|
| fgets(line, MAXLINE, ficpar);
|
for(jk=1; jk <=nlstate ; jk++){ |
| puts(line);
|
for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++) |
| fputs(line,ficparo);
|
pp[jk] += freq[jk][m][i]; |
| }
|
} |
| ungetc(c,ficpar);
|
|
|
|
for(jk=1,pos=0; jk <=nlstate ; jk++) pos += pp[jk]; |
| fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncov, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);
|
|
| printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncov, nlstate,ndeath, maxwav, mle, weightopt,model);
|
for(jk=1; jk <=nlstate ; jk++){ |
| fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncov,nlstate,ndeath,maxwav, mle, weightopt,model);
|
if( i <= (int) agemax){ |
|
|
if(pos>=1.e-5){ |
| covar=matrix(1,NCOVMAX,1,n);
|
probs[i][jk][j1]= pp[jk]/pos; |
| if (strlen(model)<=1) cptcovn=0;
|
} |
| else {
|
} |
| j=0;
|
}/* end jk */ |
| j=nbocc(model,'+');
|
}/* end i */ |
| cptcovn=j+1;
|
} /* end i1 */ |
| }
|
} /* end k1 */ |
|
|
|
| ncovmodel=2+cptcovn;
|
|
| nvar=ncovmodel-1; /* Suppressing age as a basic covariate */
|
free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3); |
|
|
free_vector(pp,1,nlstate); |
| /* Read guess parameters */
|
|
| /* Reads comments: lines beginning with '#' */
|
} /* End of Freq */ |
| while((c=getc(ficpar))=='#' && c!= EOF){
|
|
| ungetc(c,ficpar);
|
/************* Waves Concatenation ***************/ |
| fgets(line, MAXLINE, ficpar);
|
|
| puts(line);
|
void concatwav(int wav[], int **dh, int **bh, int **mw, int **s, double *agedc, double **agev, int firstpass, int lastpass, int imx, int nlstate, int stepm) |
| fputs(line,ficparo);
|
{ |
| }
|
/* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i. |
| ungetc(c,ficpar);
|
Death is a valid wave (if date is known). |
|
|
mw[mi][i] is the mi (mi=1 to wav[i]) effective wave of individual i |
| param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
|
dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i] |
| for(i=1; i <=nlstate; i++)
|
and mw[mi+1][i]. dh depends on stepm. |
| for(j=1; j <=nlstate+ndeath-1; j++){
|
*/ |
| fscanf(ficpar,"%1d%1d",&i1,&j1);
|
|
| fprintf(ficparo,"%1d%1d",i1,j1);
|
int i, mi, m; |
| printf("%1d%1d",i,j);
|
/* int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1; |
| for(k=1; k<=ncovmodel;k++){
|
double sum=0., jmean=0.;*/ |
| fscanf(ficpar," %lf",¶m[i][j][k]);
|
int first; |
| printf(" %lf",param[i][j][k]);
|
int j, k=0,jk, ju, jl; |
| fprintf(ficparo," %lf",param[i][j][k]);
|
double sum=0.; |
| }
|
first=0; |
| fscanf(ficpar,"\n");
|
jmin=1e+5; |
| printf("\n");
|
jmax=-1; |
| fprintf(ficparo,"\n");
|
jmean=0.; |
| }
|
for(i=1; i<=imx; i++){ |
|
|
mi=0; |
| npar= (nlstate+ndeath-1)*nlstate*ncovmodel;
|
m=firstpass; |
| p=param[1][1];
|
while(s[m][i] <= nlstate){ |
|
|
if(s[m][i]>=1) |
| /* Reads comments: lines beginning with '#' */
|
mw[++mi][i]=m; |
| while((c=getc(ficpar))=='#' && c!= EOF){
|
if(m >=lastpass) |
| ungetc(c,ficpar);
|
break; |
| fgets(line, MAXLINE, ficpar);
|
else |
| puts(line);
|
m++; |
| fputs(line,ficparo);
|
}/* end while */ |
| }
|
if (s[m][i] > nlstate){ |
| ungetc(c,ficpar);
|
mi++; /* Death is another wave */ |
|
|
/* if(mi==0) never been interviewed correctly before death */ |
| delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
|
/* Only death is a correct wave */ |
| delti=vector(1,npar); /* Scale of each paramater (output from hesscov) */
|
mw[mi][i]=m; |
| for(i=1; i <=nlstate; i++){
|
} |
| for(j=1; j <=nlstate+ndeath-1; j++){
|
|
| fscanf(ficpar,"%1d%1d",&i1,&j1);
|
wav[i]=mi; |
| printf("%1d%1d",i,j);
|
if(mi==0){ |
| fprintf(ficparo,"%1d%1d",i1,j1);
|
if(first==0){ |
| for(k=1; k<=ncovmodel;k++){
|
printf("Warning, no any valid information for:%d line=%d and may be others, see log file\n",num[i],i); |
| fscanf(ficpar,"%le",&delti3[i][j][k]);
|
first=1; |
| printf(" %le",delti3[i][j][k]);
|
} |
| fprintf(ficparo," %le",delti3[i][j][k]);
|
if(first==1){ |
| }
|
fprintf(ficlog,"Warning, no any valid information for:%d line=%d\n",num[i],i); |
| fscanf(ficpar,"\n");
|
} |
| printf("\n");
|
} /* end mi==0 */ |
| fprintf(ficparo,"\n");
|
} |
| }
|
|
| }
|
for(i=1; i<=imx; i++){ |
| delti=delti3[1][1];
|
for(mi=1; mi<wav[i];mi++){ |
|
|
if (stepm <=0) |
| /* Reads comments: lines beginning with '#' */
|
dh[mi][i]=1; |
| while((c=getc(ficpar))=='#' && c!= EOF){
|
else{ |
| ungetc(c,ficpar);
|
if (s[mw[mi+1][i]][i] > nlstate) { |
| fgets(line, MAXLINE, ficpar);
|
if (agedc[i] < 2*AGESUP) { |
| puts(line);
|
j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12); |
| fputs(line,ficparo);
|
if(j==0) j=1; /* Survives at least one month after exam */ |
| }
|
k=k+1; |
| ungetc(c,ficpar);
|
if (j >= jmax) jmax=j; |
|
|
if (j <= jmin) jmin=j; |
| matcov=matrix(1,npar,1,npar);
|
sum=sum+j; |
| for(i=1; i <=npar; i++){
|
/*if (j<0) printf("j=%d num=%d \n",j,i); */ |
| fscanf(ficpar,"%s",&str);
|
/* printf("%d %d %d %d\n", s[mw[mi][i]][i] ,s[mw[mi+1][i]][i],j,i);*/ |
| printf("%s",str);
|
/*printf("%d %lf %d %d %d\n", i,agev[mw[mi][i]][i],j,s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);*/ |
| fprintf(ficparo,"%s",str);
|
} |
| for(j=1; j <=i; j++){
|
} |
| fscanf(ficpar," %le",&matcov[i][j]);
|
else{ |
| printf(" %.5le",matcov[i][j]);
|
j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12)); |
| fprintf(ficparo," %.5le",matcov[i][j]);
|
/* printf("%d %d %d %d\n", s[mw[mi][i]][i] ,s[mw[mi+1][i]][i],j,i);*/ |
| }
|
k=k+1; |
| fscanf(ficpar,"\n");
|
if (j >= jmax) jmax=j; |
| printf("\n");
|
else if (j <= jmin)jmin=j; |
| fprintf(ficparo,"\n");
|
/* if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */ |
| }
|
sum=sum+j; |
| for(i=1; i <=npar; i++)
|
} |
| for(j=i+1;j<=npar;j++)
|
jk= j/stepm; |
| matcov[i][j]=matcov[j][i];
|
jl= j -jk*stepm; |
|
|
ju= j -(jk+1)*stepm; |
| printf("\n");
|
if(mle <=1){ |
|
|
if(jl==0){ |
|
|
dh[mi][i]=jk; |
| if(mle==1){
|
bh[mi][i]=0; |
| /*-------- data file ----------*/
|
}else{ /* We want a negative bias in order to only have interpolation ie |
| if((ficres =fopen(fileres,"w"))==NULL) {
|
* at the price of an extra matrix product in likelihood */ |
| printf("Problem with resultfile: %s\n", fileres);goto end;
|
dh[mi][i]=jk+1; |
| }
|
bh[mi][i]=ju; |
| fprintf(ficres,"#%s\n",version);
|
} |
|
|
}else{ |
| if((fic=fopen(datafile,"r"))==NULL) {
|
if(jl <= -ju){ |
| printf("Problem with datafile: %s\n", datafile);goto end;
|
dh[mi][i]=jk; |
| }
|
bh[mi][i]=jl; /* bias is positive if real duration |
|
|
* is higher than the multiple of stepm and negative otherwise. |
| n= lastobs;
|
*/ |
| severity = vector(1,maxwav);
|
} |
| outcome=imatrix(1,maxwav+1,1,n);
|
else{ |
| num=ivector(1,n);
|
dh[mi][i]=jk+1; |
| moisnais=vector(1,n);
|
bh[mi][i]=ju; |
| annais=vector(1,n);
|
} |
| moisdc=vector(1,n);
|
if(dh[mi][i]==0){ |
| andc=vector(1,n);
|
dh[mi][i]=1; /* At least one step */ |
| agedc=vector(1,n);
|
bh[mi][i]=ju; /* At least one step */ |
| cod=ivector(1,n);
|
/* printf(" bh=%d ju=%d jl=%d dh=%d jk=%d stepm=%d %d\n",bh[mi][i],ju,jl,dh[mi][i],jk,stepm,i);*/ |
| weight=vector(1,n);
|
} |
| for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */
|
} |
| mint=matrix(1,maxwav,1,n);
|
} /* end if mle */ |
| anint=matrix(1,maxwav,1,n);
|
} /* end wave */ |
| s=imatrix(1,maxwav+1,1,n);
|
} |
| adl=imatrix(1,maxwav+1,1,n);
|
jmean=sum/k; |
| tab=ivector(1,NCOVMAX);
|
printf("Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,jmean); |
| ncodemax=ivector(1,8);
|
fprintf(ficlog,"Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,jmean); |
|
|
} |
| i=1;
|
|
| while (fgets(line, MAXLINE, fic) != NULL) {
|
/*********** Tricode ****************************/ |
| if ((i >= firstobs) && (i <=lastobs)) {
|
void tricode(int *Tvar, int **nbcode, int imx) |
|
|
{ |
| for (j=maxwav;j>=1;j--){
|
|
| cutv(stra, strb,line,' '); s[j][i]=atoi(strb);
|
int Ndum[20],ij=1, k, j, i, maxncov=19; |
| strcpy(line,stra);
|
int cptcode=0; |
| cutv(stra, strb,line,'/'); anint[j][i]=(double)(atoi(strb)); strcpy(line,stra);
|
cptcoveff=0; |
| cutv(stra, strb,line,' '); mint[j][i]=(double)(atoi(strb)); strcpy(line,stra);
|
|
| }
|
for (k=0; k<maxncov; k++) Ndum[k]=0; |
|
|
for (k=1; k<=7; k++) ncodemax[k]=0; |
| cutv(stra, strb,line,'/'); andc[i]=(double)(atoi(strb)); strcpy(line,stra);
|
|
| cutv(stra, strb,line,' '); moisdc[i]=(double)(atoi(strb)); strcpy(line,stra);
|
for (j=1; j<=(cptcovn+2*cptcovprod); j++) { |
|
|
for (i=1; i<=imx; i++) { /*reads the data file to get the maximum |
| cutv(stra, strb,line,'/'); annais[i]=(double)(atoi(strb)); strcpy(line,stra);
|
modality*/ |
| cutv(stra, strb,line,' '); moisnais[i]=(double)(atoi(strb)); strcpy(line,stra);
|
ij=(int)(covar[Tvar[j]][i]); /* ij is the modality of this individual*/ |
|
|
Ndum[ij]++; /*store the modality */ |
| cutv(stra, strb,line,' '); weight[i]=(double)(atoi(strb)); strcpy(line,stra);
|
/*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/ |
| for (j=ncov;j>=1;j--){
|
if (ij > cptcode) cptcode=ij; /* getting the maximum of covariable |
| cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra);
|
Tvar[j]. If V=sex and male is 0 and |
| }
|
female is 1, then cptcode=1.*/ |
| num[i]=atol(stra);
|
} |
|
|
|
| /*printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]), (mint[2][i]), (anint[2][i]), (s[2][i]), (mint[3][i]), (anint[3][i]), (s[3][i]), (mint[4][i]), (anint[4][i]), (s[4][i]), (mint[5][i]), (anint[5][i]), (s[5][i]), (mint[6][i]), (anint[6][i]), (s[6][i]));*/
|
for (i=0; i<=cptcode; i++) { |
|
|
if(Ndum[i]!=0) ncodemax[j]++; /* Nomber of modalities of the j th covariates. In fact ncodemax[j]=2 (dichotom. variables) but it can be more */ |
| i=i+1;
|
} |
| }
|
|
| }
|
ij=1; |
|
|
for (i=1; i<=ncodemax[j]; i++) { |
| /*scanf("%d",i);*/
|
for (k=0; k<= maxncov; k++) { |
| imx=i-1; /* Number of individuals */
|
if (Ndum[k] != 0) { |
|
|
nbcode[Tvar[j]][ij]=k; |
| /* Calculation of the number of parameter from char model*/
|
/* store the modality in an array. k is a modality. If we have model=V1+V1*sex then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */ |
| Tvar=ivector(1,8);
|
|
|
|
ij++; |
| if (strlen(model) >1){
|
} |
| j=0;
|
if (ij > ncodemax[j]) break; |
| j=nbocc(model,'+');
|
} |
| cptcovn=j+1;
|
} |
|
|
} |
| strcpy(modelsav,model);
|
|
| if (j==0) {
|
for (k=0; k< maxncov; k++) Ndum[k]=0; |
| cutv(stra,strb,modelsav,'V'); Tvar[1]=atoi(strb);
|
|
| }
|
for (i=1; i<=ncovmodel-2; i++) { |
| else {
|
/* Listing of all covariables in staement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/ |
| for(i=j; i>=1;i--){
|
ij=Tvar[i]; |
| cutv(stra,strb,modelsav,'+');
|
Ndum[ij]++; |
| if (strchr(strb,'*')) {
|
} |
| cutv(strd,strc,strb,'*');
|
|
| cutv(strb,stre,strc,'V');Tvar[i+1]=ncov+1;
|
ij=1; |
| cutv(strb,strc,strd,'V');
|
for (i=1; i<= maxncov; i++) { |
| for (k=1; k<=lastobs;k++)
|
if((Ndum[i]!=0) && (i<=ncovcol)){ |
| covar[ncov+1][k]=covar[atoi(stre)][k]*covar[atoi(strc)][k];
|
Tvaraff[ij]=i; /*For printing */ |
| }
|
ij++; |
| else {cutv(strd,strc,strb,'V');
|
} |
| Tvar[i+1]=atoi(strc);
|
} |
| }
|
|
| strcpy(modelsav,stra);
|
cptcoveff=ij-1; /*Number of simple covariates*/ |
| }
|
} |
| cutv(strd,strc,stra,'V');
|
|
| Tvar[1]=atoi(strc);
|
/*********** Health Expectancies ****************/ |
| }
|
|
| }
|
void evsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int ij, int estepm,double delti[],double **matcov ) |
| /*printf("tvar=%d ",Tvar[1]);
|
|
| scanf("%d ",i);*/
|
{ |
| fclose(fic);
|
/* Health expectancies */ |
|
|
int i, j, nhstepm, hstepm, h, nstepm, k, cptj; |
| if (weightopt != 1) { /* Maximisation without weights*/
|
double age, agelim, hf; |
| for(i=1;i<=n;i++) weight[i]=1.0;
|
double ***p3mat,***varhe; |
| }
|
double **dnewm,**doldm; |
| /*-calculation of age at interview from date of interview and age at death -*/
|
double *xp; |
| agev=matrix(1,maxwav,1,imx);
|
double **gp, **gm; |
|
|
double ***gradg, ***trgradg; |
| for (i=1; i<=imx; i++) {
|
int theta; |
| agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);
|
|
| for(m=1; (m<= maxwav); m++){
|
varhe=ma3x(1,nlstate*2,1,nlstate*2,(int) bage, (int) fage); |
| if(s[m][i] >0){
|
xp=vector(1,npar); |
| if (s[m][i] == nlstate+1) {
|
dnewm=matrix(1,nlstate*2,1,npar); |
| if(agedc[i]>0)
|
doldm=matrix(1,nlstate*2,1,nlstate*2); |
| if(moisdc[i]!=99 && andc[i]!=9999)
|
|
| agev[m][i]=agedc[i];
|
fprintf(ficreseij,"# Health expectancies\n"); |
| else{
|
fprintf(ficreseij,"# Age"); |
| printf("Warning negative age at death: %d line:%d\n",num[i],i);
|
for(i=1; i<=nlstate;i++) |
| agev[m][i]=-1;
|
for(j=1; j<=nlstate;j++) |
| }
|
fprintf(ficreseij," %1d-%1d (SE)",i,j); |
| }
|
fprintf(ficreseij,"\n"); |
| else if(s[m][i] !=9){ /* Should no more exist */
|
|
| agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);
|
if(estepm < stepm){ |
| if(mint[m][i]==99 || anint[m][i]==9999)
|
printf ("Problem %d lower than %d\n",estepm, stepm); |
| agev[m][i]=1;
|
} |
| else if(agev[m][i] <agemin){
|
else hstepm=estepm; |
| agemin=agev[m][i];
|
/* We compute the life expectancy from trapezoids spaced every estepm months |
| /*printf(" Min anint[%d][%d]=%.2f annais[%d]=%.2f, agemin=%.2f\n",m,i,anint[m][i], i,annais[i], agemin);*/
|
* This is mainly to measure the difference between two models: for example |
| }
|
* if stepm=24 months pijx are given only every 2 years and by summing them |
| else if(agev[m][i] >agemax){
|
* we are calculating an estimate of the Life Expectancy assuming a linear |
| agemax=agev[m][i];
|
* progression in between and thus overestimating or underestimating according |
| /* printf(" anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.0f\n",m,i,anint[m][i], i,annais[i], agemax);*/
|
* to the curvature of the survival function. If, for the same date, we |
| }
|
* estimate the model with stepm=1 month, we can keep estepm to 24 months |
| /*agev[m][i]=anint[m][i]-annais[i];*/
|
* to compare the new estimate of Life expectancy with the same linear |
| /* agev[m][i] = age[i]+2*m;*/
|
* hypothesis. A more precise result, taking into account a more precise |
| }
|
* curvature will be obtained if estepm is as small as stepm. */ |
| else { /* =9 */
|
|
| agev[m][i]=1;
|
/* For example we decided to compute the life expectancy with the smallest unit */ |
| s[m][i]=-1;
|
/* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. |
| }
|
nhstepm is the number of hstepm from age to agelim |
| }
|
nstepm is the number of stepm from age to agelin. |
| else /*= 0 Unknown */
|
Look at hpijx to understand the reason of that which relies in memory size |
| agev[m][i]=1;
|
and note for a fixed period like estepm months */ |
| }
|
/* We decided (b) to get a life expectancy respecting the most precise curvature of the |
|
|
survival function given by stepm (the optimization length). Unfortunately it |
| }
|
means that if the survival funtion is printed only each two years of age and if |
| for (i=1; i<=imx; i++) {
|
you sum them up and add 1 year (area under the trapezoids) you won't get the same |
| for(m=1; (m<= maxwav); m++){
|
results. So we changed our mind and took the option of the best precision. |
| if (s[m][i] > (nlstate+ndeath)) {
|
*/ |
| printf("Error: Wrong value in nlstate or ndeath\n");
|
hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */ |
| goto end;
|
|
| }
|
agelim=AGESUP; |
| }
|
for (age=bage; age<=fage; age ++){ /* If stepm=6 months */ |
| }
|
/* nhstepm age range expressed in number of stepm */ |
|
|
nstepm=(int) rint((agelim-age)*YEARM/stepm); |
| printf("Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);
|
/* Typically if 20 years nstepm = 20*12/6=40 stepm */ |
|
|
/* if (stepm >= YEARM) hstepm=1;*/ |
| free_vector(severity,1,maxwav);
|
nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */ |
| free_imatrix(outcome,1,maxwav+1,1,n);
|
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| free_vector(moisnais,1,n);
|
gradg=ma3x(0,nhstepm,1,npar,1,nlstate*2); |
| free_vector(annais,1,n);
|
gp=matrix(0,nhstepm,1,nlstate*2); |
| free_matrix(mint,1,maxwav,1,n);
|
gm=matrix(0,nhstepm,1,nlstate*2); |
| free_matrix(anint,1,maxwav,1,n);
|
|
| free_vector(moisdc,1,n);
|
/* Computed by stepm unit matrices, product of hstepm matrices, stored |
| free_vector(andc,1,n);
|
in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */ |
|
|
hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, ij); |
|
|
|
| wav=ivector(1,imx);
|
|
| dh=imatrix(1,lastpass-firstpass+1,1,imx);
|
hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ |
| mw=imatrix(1,lastpass-firstpass+1,1,imx);
|
|
|
|
/* Computing Variances of health expectancies */ |
| /* Concatenates waves */
|
|
| concatwav(wav, dh, mw, s, agedc, agev, firstpass, lastpass, imx, nlstate, stepm);
|
for(theta=1; theta <=npar; theta++){ |
|
|
for(i=1; i<=npar; i++){ |
|
|
xp[i] = x[i] + (i==theta ?delti[theta]:0); |
| Tcode=ivector(1,100);
|
} |
| nbcode=imatrix(1,nvar,1,8);
|
hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); |
| ncodemax[1]=1;
|
|
| if (cptcovn > 0) tricode(Tvar,nbcode,imx);
|
cptj=0; |
|
|
for(j=1; j<= nlstate; j++){ |
| codtab=imatrix(1,100,1,10);
|
for(i=1; i<=nlstate; i++){ |
| h=0;
|
cptj=cptj+1; |
| m=pow(2,cptcovn);
|
for(h=0, gp[h][cptj]=0.; h<=nhstepm-1; h++){ |
|
|
gp[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.; |
| for(k=1;k<=cptcovn; k++){
|
} |
| for(i=1; i <=(m/pow(2,k));i++){
|
} |
| for(j=1; j <= ncodemax[k]; j++){
|
} |
| for(cpt=1; cpt <=(m/pow(2,cptcovn+1-k)); cpt++){
|
|
| h++;
|
|
| if (h>m) h=1;codtab[h][k]=j;
|
for(i=1; i<=npar; i++) |
| }
|
xp[i] = x[i] - (i==theta ?delti[theta]:0); |
| }
|
hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); |
| }
|
|
| }
|
cptj=0; |
|
|
for(j=1; j<= nlstate; j++){ |
| /*for(i=1; i <=m ;i++){
|
for(i=1;i<=nlstate;i++){ |
| for(k=1; k <=cptcovn; k++){
|
cptj=cptj+1; |
| printf("i=%d k=%d %d ",i,k,codtab[i][k]);
|
for(h=0, gm[h][cptj]=0.; h<=nhstepm-1; h++){ |
| }
|
gm[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.; |
| printf("\n");
|
} |
| }*/
|
} |
| /*scanf("%d",i);*/
|
} |
|
|
for(j=1; j<= nlstate*2; j++) |
| /* Calculates basic frequencies. Computes observed prevalence at single age
|
for(h=0; h<=nhstepm-1; h++){ |
| and prints on file fileres'p'. */
|
gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta]; |
| freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax);
|
} |
|
|
} |
|
|
|
| /*scanf("%d ",i);*/
|
/* End theta */ |
|
|
|
|
|
trgradg =ma3x(0,nhstepm,1,nlstate*2,1,npar); |
| pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
|
|
| oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
|
for(h=0; h<=nhstepm-1; h++) |
| newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
|
for(j=1; j<=nlstate*2;j++) |
| savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
|
for(theta=1; theta <=npar; theta++) |
| oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */
|
trgradg[h][j][theta]=gradg[h][theta][j]; |
|
|
|
| /* For Powell, parameters are in a vector p[] starting at p[1]
|
|
| so we point p on param[1][1] so that p[1] maps on param[1][1][1] */
|
for(i=1;i<=nlstate*2;i++) |
| p=param[1][1]; /* *(*(*(param +1)+1)+0) */
|
for(j=1;j<=nlstate*2;j++) |
|
|
varhe[i][j][(int)age] =0.; |
| mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);
|
|
|
|
printf("%d|",(int)age);fflush(stdout); |
|
|
fprintf(ficlog,"%d|",(int)age);fflush(ficlog); |
| /*--------- results files --------------*/
|
for(h=0;h<=nhstepm-1;h++){ |
| fprintf(ficres,"\ntitle=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncov, nlstate, ndeath, maxwav, mle,weightopt,model);
|
for(k=0;k<=nhstepm-1;k++){ |
|
|
matprod2(dnewm,trgradg[h],1,nlstate*2,1,npar,1,npar,matcov); |
| jk=1;
|
matprod2(doldm,dnewm,1,nlstate*2,1,npar,1,nlstate*2,gradg[k]); |
| fprintf(ficres,"# Parameters\n");
|
for(i=1;i<=nlstate*2;i++) |
| printf("# Parameters\n");
|
for(j=1;j<=nlstate*2;j++) |
| for(i=1,jk=1; i <=nlstate; i++){
|
varhe[i][j][(int)age] += doldm[i][j]*hf*hf; |
| for(k=1; k <=(nlstate+ndeath); k++){
|
} |
| if (k != i)
|
} |
| {
|
/* Computing expectancies */ |
| printf("%d%d ",i,k);
|
for(i=1; i<=nlstate;i++) |
| fprintf(ficres,"%1d%1d ",i,k);
|
for(j=1; j<=nlstate;j++) |
| for(j=1; j <=ncovmodel; j++){
|
for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){ |
| printf("%f ",p[jk]);
|
eij[i][j][(int)age] += (p3mat[i][j][h]+p3mat[i][j][h+1])/2.0*hf; |
| fprintf(ficres,"%f ",p[jk]);
|
|
| jk++;
|
/* if((int)age==70)printf("i=%2d,j=%2d,h=%2d,age=%3d,%9.4f,%9.4f,%9.4f\n",i,j,h,(int)age,p3mat[i][j][h],hf,eij[i][j][(int)age]);*/ |
| }
|
|
| printf("\n");
|
} |
| fprintf(ficres,"\n");
|
|
| }
|
fprintf(ficreseij,"%3.0f",age ); |
| }
|
cptj=0; |
| }
|
for(i=1; i<=nlstate;i++) |
|
|
for(j=1; j<=nlstate;j++){ |
| /* Computing hessian and covariance matrix */
|
cptj++; |
| ftolhess=ftol; /* Usually correct */
|
fprintf(ficreseij," %9.4f (%.4f)", eij[i][j][(int)age], sqrt(varhe[cptj][cptj][(int)age]) ); |
| hesscov(matcov, p, npar, delti, ftolhess, func);
|
} |
| fprintf(ficres,"# Scales\n");
|
fprintf(ficreseij,"\n"); |
| printf("# Scales\n");
|
|
| for(i=1,jk=1; i <=nlstate; i++){
|
free_matrix(gm,0,nhstepm,1,nlstate*2); |
| for(j=1; j <=nlstate+ndeath; j++){
|
free_matrix(gp,0,nhstepm,1,nlstate*2); |
| if (j!=i) {
|
free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate*2); |
| fprintf(ficres,"%1d%1d",i,j);
|
free_ma3x(trgradg,0,nhstepm,1,nlstate*2,1,npar); |
| printf("%1d%1d",i,j);
|
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| for(k=1; k<=ncovmodel;k++){
|
} |
| printf(" %.5e",delti[jk]);
|
printf("\n"); |
| fprintf(ficres," %.5e",delti[jk]);
|
fprintf(ficlog,"\n"); |
| jk++;
|
|
| }
|
free_vector(xp,1,npar); |
| printf("\n");
|
free_matrix(dnewm,1,nlstate*2,1,npar); |
| fprintf(ficres,"\n");
|
free_matrix(doldm,1,nlstate*2,1,nlstate*2); |
| }
|
free_ma3x(varhe,1,nlstate*2,1,nlstate*2,(int) bage, (int)fage); |
| }
|
} |
| }
|
|
|
|
/************ Variance ******************/ |
| k=1;
|
void varevsij(char optionfilefiname[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav) |
| fprintf(ficres,"# Covariance\n");
|
{ |
| printf("# Covariance\n");
|
/* Variance of health expectancies */ |
| for(i=1;i<=npar;i++){
|
/* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/ |
| /* if (k>nlstate) k=1;
|
/* double **newm;*/ |
| i1=(i-1)/(ncovmodel*nlstate)+1;
|
double **dnewm,**doldm; |
| fprintf(ficres,"%s%d%d",alph[k],i1,tab[i]);
|
double **dnewmp,**doldmp; |
| printf("%s%d%d",alph[k],i1,tab[i]);*/
|
int i, j, nhstepm, hstepm, h, nstepm ; |
| fprintf(ficres,"%3d",i);
|
int k, cptcode; |
| printf("%3d",i);
|
double *xp; |
| for(j=1; j<=i;j++){
|
double **gp, **gm; /* for var eij */ |
| fprintf(ficres," %.5e",matcov[i][j]);
|
double ***gradg, ***trgradg; /*for var eij */ |
| printf(" %.5e",matcov[i][j]);
|
double **gradgp, **trgradgp; /* for var p point j */ |
| }
|
double *gpp, *gmp; /* for var p point j */ |
| fprintf(ficres,"\n");
|
double **varppt; /* for var p point j nlstate to nlstate+ndeath */ |
| printf("\n");
|
double ***p3mat; |
| k++;
|
double age,agelim, hf; |
| }
|
double ***mobaverage; |
|
|
int theta; |
| while((c=getc(ficpar))=='#' && c!= EOF){
|
char digit[4]; |
| ungetc(c,ficpar);
|
char digitp[25]; |
| fgets(line, MAXLINE, ficpar);
|
|
| puts(line);
|
char fileresprobmorprev[FILENAMELENGTH]; |
| fputs(line,ficparo);
|
|
| }
|
if(popbased==1){ |
| ungetc(c,ficpar);
|
if(mobilav!=0) |
|
|
strcpy(digitp,"-populbased-mobilav-"); |
| fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf\n",&agemin,&agemax, &bage, &fage);
|
else strcpy(digitp,"-populbased-nomobil-"); |
|
|
} |
| if (fage <= 2) {
|
else |
| bage = agemin;
|
strcpy(digitp,"-stablbased-"); |
| fage = agemax;
|
|
| }
|
if (mobilav!=0) { |
|
|
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
| fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");
|
if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){ |
| fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",agemin,agemax,bage,fage);
|
fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); |
| /*------------ gnuplot -------------*/
|
printf(" Error in movingaverage mobilav=%d\n",mobilav); |
| chdir(pathcd);
|
} |
| if((ficgp=fopen("graph.plt","w"))==NULL) {
|
} |
| printf("Problem with file graph.plt");goto end;
|
|
| }
|
strcpy(fileresprobmorprev,"prmorprev"); |
| #ifdef windows
|
sprintf(digit,"%-d",ij); |
| fprintf(ficgp,"cd \"%s\" \n",pathc);
|
/*printf("DIGIT=%s, ij=%d ijr=%-d|\n",digit, ij,ij);*/ |
| #endif
|
strcat(fileresprobmorprev,digit); /* Tvar to be done */ |
| m=pow(2,cptcovn);
|
strcat(fileresprobmorprev,digitp); /* Popbased or not, mobilav or not */ |
|
|
strcat(fileresprobmorprev,fileres); |
| /* 1eme*/
|
if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) { |
| for (cpt=1; cpt<= nlstate ; cpt ++) {
|
printf("Problem with resultfile: %s\n", fileresprobmorprev); |
| for (k1=1; k1<= m ; k1 ++) {
|
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobmorprev); |
|
|
} |
| #ifdef windows
|
printf("Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev); |
| fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter gif small size 400,300\nplot [%.f:%.f] \"vpl%s\" every :::%d::%d u 1:2 \"\%%lf",agemin,fage,fileres,k1-1,k1-1);
|
fprintf(ficlog,"Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev); |
| #endif
|
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); |
| #ifdef unix
|
fprintf(ficresprobmorprev,"# Age cov=%-d",ij); |
| fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nplot [%.f:%.f] \"vpl%s\" u 1:2 \"\%%lf",agemin,fage,fileres);
|
for(j=nlstate+1; j<=(nlstate+ndeath);j++){ |
| #endif
|
fprintf(ficresprobmorprev," p.%-d SE",j); |
|
|
for(i=1; i<=nlstate;i++) |
| for (i=1; i<= nlstate ; i ++) {
|
fprintf(ficresprobmorprev," w%1d p%-d%-d",i,i,j); |
| if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
|
} |
| else fprintf(ficgp," \%%*lf (\%%*lf)");
|
fprintf(ficresprobmorprev,"\n"); |
| }
|
if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { |
| fprintf(ficgp,"\" t\"Stationary prevalence\" w l 0,\"vpl%s\" every :::%d::%d u 1:($2+2*$3) \"\%%lf",fileres,k1-1,k1-1);
|
printf("Problem with gnuplot file: %s\n", optionfilegnuplot); |
| for (i=1; i<= nlstate ; i ++) {
|
fprintf(ficlog,"Problem with gnuplot file: %s\n", optionfilegnuplot); |
| if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
|
exit(0); |
| else fprintf(ficgp," \%%*lf (\%%*lf)");
|
} |
| }
|
else{ |
| fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"vpl%s\" every :::%d::%d u 1:($2-2*$3) \"\%%lf",fileres,k1-1,k1-1);
|
fprintf(ficgp,"\n# Routine varevsij"); |
| for (i=1; i<= nlstate ; i ++) {
|
} |
| if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
|
if((fichtm=fopen(optionfilehtm,"a"))==NULL) { |
| else fprintf(ficgp," \%%*lf (\%%*lf)");
|
printf("Problem with html file: %s\n", optionfilehtm); |
| }
|
fprintf(ficlog,"Problem with html file: %s\n", optionfilehtm); |
| fprintf(ficgp,"\" t\"\" w l 1,\"p%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",fileres,k1-1,k1-1,2+4*(cpt-1));
|
exit(0); |
| #ifdef unix
|
} |
| fprintf(ficgp,"\nset ter gif small size 400,300");
|
else{ |
| #endif
|
fprintf(fichtm,"\n<li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>\n"); |
| fprintf(ficgp,"\nset out \"v%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);
|
fprintf(fichtm,"\n<br>%s <br>\n",digitp); |
| }
|
} |
| }
|
varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); |
| /*2 eme*/
|
|
|
|
fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n# (weighted average of eij where weights are the stable prevalence in health states i\n"); |
| for (k1=1; k1<= m ; k1 ++) {
|
fprintf(ficresvij,"# Age"); |
| fprintf(ficgp,"set ylabel \"Years\" \nset ter gif small size 400,300\nplot [%.f:%.f] ",agemin,fage);
|
for(i=1; i<=nlstate;i++) |
|
|
for(j=1; j<=nlstate;j++) |
| for (i=1; i<= nlstate+1 ; i ++) {
|
fprintf(ficresvij," Cov(e%1d, e%1d)",i,j); |
| k=2*i;
|
fprintf(ficresvij,"\n"); |
| fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:2 \"\%%lf",fileres,k1-1,k1-1);
|
|
| for (j=1; j<= nlstate+1 ; j ++) {
|
xp=vector(1,npar); |
| if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
|
dnewm=matrix(1,nlstate,1,npar); |
| else fprintf(ficgp," \%%*lf (\%%*lf)");
|
doldm=matrix(1,nlstate,1,nlstate); |
| }
|
dnewmp= matrix(nlstate+1,nlstate+ndeath,1,npar); |
| if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");
|
doldmp= matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); |
| else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);
|
|
| fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2-$3*2) \"\%%lf",fileres,k1-1,k1-1);
|
gradgp=matrix(1,npar,nlstate+1,nlstate+ndeath); |
| for (j=1; j<= nlstate+1 ; j ++) {
|
gpp=vector(nlstate+1,nlstate+ndeath); |
| if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
|
gmp=vector(nlstate+1,nlstate+ndeath); |
| else fprintf(ficgp," \%%*lf (\%%*lf)");
|
trgradgp =matrix(nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/ |
| }
|
|
| fprintf(ficgp,"\" t\"\" w l 0,");
|
if(estepm < stepm){ |
| fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",fileres,k1-1,k1-1);
|
printf ("Problem %d lower than %d\n",estepm, stepm); |
| for (j=1; j<= nlstate+1 ; j ++) {
|
} |
| if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
|
else hstepm=estepm; |
| else fprintf(ficgp," \%%*lf (\%%*lf)");
|
/* For example we decided to compute the life expectancy with the smallest unit */ |
| }
|
/* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. |
| if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l 0");
|
nhstepm is the number of hstepm from age to agelim |
| else fprintf(ficgp,"\" t\"\" w l 0,");
|
nstepm is the number of stepm from age to agelin. |
| }
|
Look at hpijx to understand the reason of that which relies in memory size |
| fprintf(ficgp,"\nset out \"e%s%d.gif\" \nreplot\n\n",strtok(optionfile, "."),k1);
|
and note for a fixed period like k years */ |
| }
|
/* We decided (b) to get a life expectancy respecting the most precise curvature of the |
|
|
survival function given by stepm (the optimization length). Unfortunately it |
| /*3eme*/
|
means that if the survival funtion is printed every two years of age and if |
|
|
you sum them up and add 1 year (area under the trapezoids) you won't get the same |
| for (k1=1; k1<= m ; k1 ++) {
|
results. So we changed our mind and took the option of the best precision. |
| for (cpt=1; cpt<= nlstate ; cpt ++) {
|
*/ |
| k=2+nlstate*(cpt-1);
|
hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */ |
| fprintf(ficgp,"set ter gif small size 400,300\nplot [%.f:%.f] \"e%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",agemin,fage,fileres,k1-1,k1-1,k,cpt);
|
agelim = AGESUP; |
| for (i=1; i< nlstate ; i ++) {
|
for (age=bage; age<=fage; age ++){ /* If stepm=6 months */ |
| fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",fileres,k1-1,k1-1,k+i,cpt,i+1);
|
nstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ |
| }
|
nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */ |
| fprintf(ficgp,"\nset out \"exp%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);
|
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| }
|
gradg=ma3x(0,nhstepm,1,npar,1,nlstate); |
| }
|
gp=matrix(0,nhstepm,1,nlstate); |
|
|
gm=matrix(0,nhstepm,1,nlstate); |
| /* CV preval stat */
|
|
| for (k1=1; k1<= m ; k1 ++) {
|
|
| for (cpt=1; cpt<nlstate ; cpt ++) {
|
for(theta=1; theta <=npar; theta++){ |
| k=3;
|
for(i=1; i<=npar; i++){ /* Computes gradient x + delta*/ |
| fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter gif small size 400,300\nplot [%.f:%.f] \"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",agemin,agemax,fileres,k1,k+cpt+1,k+1);
|
xp[i] = x[i] + (i==theta ?delti[theta]:0); |
| for (i=1; i< nlstate ; i ++)
|
} |
| fprintf(ficgp,"+$%d",k+i+1);
|
hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); |
| fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);
|
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij); |
|
|
|
| l=3+(nlstate+ndeath)*cpt;
|
if (popbased==1) { |
| fprintf(ficgp,",\"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",fileres,k1,l+cpt+1,l+1);
|
if(mobilav ==0){ |
| for (i=1; i< nlstate ; i ++) {
|
for(i=1; i<=nlstate;i++) |
| l=3+(nlstate+ndeath)*cpt;
|
prlim[i][i]=probs[(int)age][i][ij]; |
| fprintf(ficgp,"+$%d",l+i+1);
|
}else{ /* mobilav */ |
| }
|
for(i=1; i<=nlstate;i++) |
| fprintf(ficgp,")) t\"prev(%d,%d)\" w l\n",cpt+1,cpt+1);
|
prlim[i][i]=mobaverage[(int)age][i][ij]; |
| fprintf(ficgp,"set out \"p%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);
|
} |
| }
|
} |
| }
|
|
|
|
for(j=1; j<= nlstate; j++){ |
| /* proba elementaires */
|
for(h=0; h<=nhstepm; h++){ |
| for(i=1,jk=1; i <=nlstate; i++){
|
for(i=1, gp[h][j]=0.;i<=nlstate;i++) |
| for(k=1; k <=(nlstate+ndeath); k++){
|
gp[h][j] += prlim[i][i]*p3mat[i][j][h]; |
| if (k != i) {
|
} |
| /* fprintf(ficgp,"%1d%1d ",i,k);*/
|
} |
| for(j=1; j <=ncovmodel; j++){
|
/* This for computing probability of death (h=1 means |
| fprintf(ficgp,"%s%1d%1d=%f ",alph[j],i,k,p[jk]);
|
computed over hstepm matrices product = hstepm*stepm months) |
| jk++;
|
as a weighted average of prlim. |
| fprintf(ficgp,"\n");
|
*/ |
| }
|
for(j=nlstate+1;j<=nlstate+ndeath;j++){ |
| }
|
for(i=1,gpp[j]=0.; i<= nlstate; i++) |
| }
|
gpp[j] += prlim[i][i]*p3mat[i][j][1]; |
| }
|
} |
| for(jk=1; jk <=m; jk++) {
|
/* end probability of death */ |
| fprintf(ficgp,"\nset ter gif small size 400,300\nset log y\nplot [%.f:%.f] ",agemin,agemax);
|
|
| for(i=1; i <=nlstate; i++) {
|
for(i=1; i<=npar; i++) /* Computes gradient x - delta */ |
| for(k=1; k <=(nlstate+ndeath); k++){
|
xp[i] = x[i] - (i==theta ?delti[theta]:0); |
| if (k != i) {
|
hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); |
| fprintf(ficgp," exp(a%d%d+b%d%d*x",i,k,i,k);
|
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij); |
| for(j=3; j <=ncovmodel; j++)
|
|
| fprintf(ficgp,"+%s%d%d*%d",alph[j],i,k,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
|
if (popbased==1) { |
| fprintf(ficgp,")/(1");
|
if(mobilav ==0){ |
| for(k1=1; k1 <=(nlstate+ndeath); k1++)
|
for(i=1; i<=nlstate;i++) |
| if (k1 != i) {
|
prlim[i][i]=probs[(int)age][i][ij]; |
| fprintf(ficgp,"+exp(a%d%d+b%d%d*x",i,k1,i,k1);
|
}else{ /* mobilav */ |
| for(j=3; j <=ncovmodel; j++)
|
for(i=1; i<=nlstate;i++) |
| fprintf(ficgp,"+%s%d%d*%d",alph[j],i,k,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
|
prlim[i][i]=mobaverage[(int)age][i][ij]; |
| fprintf(ficgp,")");
|
} |
| }
|
} |
| fprintf(ficgp,") t \"p%d%d\" ", i,k);
|
|
| if ((i+k)!= (nlstate*2+ndeath)) fprintf(ficgp,",");
|
for(j=1; j<= nlstate; j++){ |
| }
|
for(h=0; h<=nhstepm; h++){ |
| }
|
for(i=1, gm[h][j]=0.;i<=nlstate;i++) |
| }
|
gm[h][j] += prlim[i][i]*p3mat[i][j][h]; |
| fprintf(ficgp,"\nset out \"pe%s%d.gif\" \nreplot\n\n",strtok(optionfile, "."),jk);
|
} |
| }
|
} |
|
|
/* This for computing probability of death (h=1 means |
| fclose(ficgp);
|
computed over hstepm matrices product = hstepm*stepm months) |
|
|
as a weighted average of prlim. |
| chdir(path);
|
*/ |
| free_matrix(agev,1,maxwav,1,imx);
|
for(j=nlstate+1;j<=nlstate+ndeath;j++){ |
| free_ivector(wav,1,imx);
|
for(i=1,gmp[j]=0.; i<= nlstate; i++) |
| free_imatrix(dh,1,lastpass-firstpass+1,1,imx);
|
gmp[j] += prlim[i][i]*p3mat[i][j][1]; |
| free_imatrix(mw,1,lastpass-firstpass+1,1,imx);
|
} |
|
|
/* end probability of death */ |
| free_imatrix(s,1,maxwav+1,1,n);
|
|
|
|
for(j=1; j<= nlstate; j++) /* vareij */ |
|
|
for(h=0; h<=nhstepm; h++){ |
| free_ivector(num,1,n);
|
gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta]; |
| free_vector(agedc,1,n);
|
} |
| free_vector(weight,1,n);
|
|
| /*free_matrix(covar,1,NCOVMAX,1,n);*/
|
for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */ |
| fclose(ficparo);
|
gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta]; |
| fclose(ficres);
|
} |
| }
|
|
|
|
} /* End theta */ |
| /*________fin mle=1_________*/
|
|
|
|
trgradg =ma3x(0,nhstepm,1,nlstate,1,npar); /* veij */ |
|
|
|
|
|
for(h=0; h<=nhstepm; h++) /* veij */ |
| /* No more information from the sample is required now */
|
for(j=1; j<=nlstate;j++) |
| /* Reads comments: lines beginning with '#' */
|
for(theta=1; theta <=npar; theta++) |
| while((c=getc(ficpar))=='#' && c!= EOF){
|
trgradg[h][j][theta]=gradg[h][theta][j]; |
| ungetc(c,ficpar);
|
|
| fgets(line, MAXLINE, ficpar);
|
for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */ |
| puts(line);
|
for(theta=1; theta <=npar; theta++) |
| fputs(line,ficparo);
|
trgradgp[j][theta]=gradgp[theta][j]; |
| }
|
|
| ungetc(c,ficpar);
|
|
|
|
hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ |
|
|
for(i=1;i<=nlstate;i++) |
| fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf\n",&agemin,&agemax, &bage, &fage);
|
for(j=1;j<=nlstate;j++) |
| printf("agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",agemin,agemax, bage, fage);
|
vareij[i][j][(int)age] =0.; |
| fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",agemin,agemax,bage,fage);
|
|
| /*--------- index.htm --------*/
|
for(h=0;h<=nhstepm;h++){ |
|
|
for(k=0;k<=nhstepm;k++){ |
| if((fichtm=fopen("index.htm","w"))==NULL) {
|
matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov); |
| printf("Problem with index.htm \n");goto end;
|
matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg[k]); |
| }
|
for(i=1;i<=nlstate;i++) |
|
|
for(j=1;j<=nlstate;j++) |
| fprintf(fichtm,"<body><ul> Imach, Version 0.63<hr> <li>Outputs files<br><br>\n
|
vareij[i][j][(int)age] += doldm[i][j]*hf*hf; |
| - Observed prevalence in each state: <a href=\"p%s\">p%s</a> <br>\n
|
} |
| - Estimated parameters and the covariance matrix: <a href=\"%s\">%s</a> <br>
|
} |
| - Stationary prevalence in each state: <a href=\"pl%s\">pl%s</a> <br>
|
|
| - Transition probabilities: <a href=\"pij%s\">pij%s</a><br>
|
/* pptj */ |
| - Copy of the parameter file: <a href=\"o%s\">o%s</a><br>
|
matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov); |
| - Life expectancies by age and initial health status: <a href=\"e%s\">e%s</a> <br>
|
matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp); |
| - Variances of life expectancies by age and initial health status: <a href=\"v%s\">v%s</a><br>
|
for(j=nlstate+1;j<=nlstate+ndeath;j++) |
| - Health expectancies with their variances: <a href=\"t%s\">t%s</a> <br>
|
for(i=nlstate+1;i<=nlstate+ndeath;i++) |
| - Standard deviation of stationary prevalences: <a href=\"vpl%s\">vpl%s</a> <br><br>",fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres);
|
varppt[j][i]=doldmp[j][i]; |
|
|
/* end ppptj */ |
| fprintf(fichtm," <li>Graphs</li>\n<p>");
|
/* x centered again */ |
|
|
hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij); |
| m=cptcovn;
|
prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ij); |
| if (cptcovn < 1) {m=1;ncodemax[1]=1;}
|
|
|
|
if (popbased==1) { |
| j1=0;
|
if(mobilav ==0){ |
| for(k1=1; k1<=m;k1++){
|
for(i=1; i<=nlstate;i++) |
| for(i1=1; i1<=ncodemax[k1];i1++){
|
prlim[i][i]=probs[(int)age][i][ij]; |
| j1++;
|
}else{ /* mobilav */ |
| if (cptcovn > 0) {
|
for(i=1; i<=nlstate;i++) |
| fprintf(fichtm,"<hr>************ Results for covariates");
|
prlim[i][i]=mobaverage[(int)age][i][ij]; |
| for (cpt=1; cpt<=cptcovn;cpt++)
|
} |
| fprintf(fichtm," V%d=%d ",Tvar[cpt],nbcode[Tvar[cpt]][codtab[j1][cpt]]);
|
} |
| fprintf(fichtm," ************\n<hr>");
|
|
| }
|
/* This for computing probability of death (h=1 means |
| fprintf(fichtm,"<br>- Probabilities: pe%s%d.gif<br>
|
computed over hstepm (estepm) matrices product = hstepm*stepm months) |
| <img src=\"pe%s%d.gif\">",strtok(optionfile, "."),j1,strtok(optionfile, "."),j1);
|
as a weighted average of prlim. |
| for(cpt=1; cpt<nlstate;cpt++){
|
*/ |
| fprintf(fichtm,"<br>- Prevalence of disability : p%s%d%d.gif<br>
|
for(j=nlstate+1;j<=nlstate+ndeath;j++){ |
| <img src=\"p%s%d%d.gif\">",strtok(optionfile, "."),cpt,j1,strtok(optionfile, "."),cpt,j1);
|
for(i=1,gmp[j]=0.;i<= nlstate; i++) |
| }
|
gmp[j] += prlim[i][i]*p3mat[i][j][1]; |
| for(cpt=1; cpt<=nlstate;cpt++) {
|
} |
| fprintf(fichtm,"<br>- Observed and stationary prevalence (with confident
|
/* end probability of death */ |
| interval) in state (%d): v%s%d%d.gif <br>
|
|
| <img src=\"v%s%d%d.gif\">",cpt,strtok(optionfile, "."),cpt,j1,strtok(optionfile, "."),cpt,j1);
|
fprintf(ficresprobmorprev,"%3d %d ",(int) age, ij); |
| }
|
for(j=nlstate+1; j<=(nlstate+ndeath);j++){ |
| for(cpt=1; cpt<=nlstate;cpt++) {
|
fprintf(ficresprobmorprev," %11.3e %11.3e",gmp[j], sqrt(varppt[j][j])); |
| fprintf(fichtm,"\n<br>- Health life expectancies by age and initial health state (%d): exp%s%d%d.gif <br>
|
for(i=1; i<=nlstate;i++){ |
| <img src=\"ex%s%d%d.gif\">",cpt,strtok(optionfile, "."),cpt,j1,strtok(optionfile, "."),cpt,j1);
|
fprintf(ficresprobmorprev," %11.3e %11.3e ",prlim[i][i],p3mat[i][j][1]); |
| }
|
} |
| fprintf(fichtm,"\n<br>- Total life expectancy by age and
|
} |
| health expectancies in states (1) and (2): e%s%d.gif<br>
|
fprintf(ficresprobmorprev,"\n"); |
| <img src=\"e%s%d.gif\">",strtok(optionfile, "."),j1,strtok(optionfile, "."),j1);
|
|
| fprintf(fichtm,"\n</body>");
|
fprintf(ficresvij,"%.0f ",age ); |
| }
|
for(i=1; i<=nlstate;i++) |
| }
|
for(j=1; j<=nlstate;j++){ |
| fclose(fichtm);
|
fprintf(ficresvij," %.4f", vareij[i][j][(int)age]); |
|
|
} |
| /*--------------- Prevalence limit --------------*/
|
fprintf(ficresvij,"\n"); |
|
|
free_matrix(gp,0,nhstepm,1,nlstate); |
| strcpy(filerespl,"pl");
|
free_matrix(gm,0,nhstepm,1,nlstate); |
| strcat(filerespl,fileres);
|
free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate); |
| if((ficrespl=fopen(filerespl,"w"))==NULL) {
|
free_ma3x(trgradg,0,nhstepm,1,nlstate,1,npar); |
| printf("Problem with Prev limit resultfile: %s\n", filerespl);goto end;
|
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| }
|
} /* End age */ |
| printf("Computing prevalence limit: result on file '%s' \n", filerespl);
|
free_vector(gpp,nlstate+1,nlstate+ndeath); |
| fprintf(ficrespl,"#Prevalence limit\n");
|
free_vector(gmp,nlstate+1,nlstate+ndeath); |
| fprintf(ficrespl,"#Age ");
|
free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath); |
| for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);
|
free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/ |
| fprintf(ficrespl,"\n");
|
fprintf(ficgp,"\nset noparametric;set nolabel; set ter png small;set size 0.65, 0.65"); |
|
|
/* for(j=nlstate+1; j<= nlstate+ndeath; j++){ *//* Only the first actually */ |
| prlim=matrix(1,nlstate,1,nlstate);
|
fprintf(ficgp,"\n set log y; set nolog x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";"); |
| pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
|
/* fprintf(ficgp,"\n plot \"%s\" u 1:($3*%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); */ |
| oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
|
/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)*%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */ |
| newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
|
/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)*%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */ |
| savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
|
fprintf(ficgp,"\n plot \"%s\" u 1:($3) not w l 1 ",fileresprobmorprev); |
| oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */
|
fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95\%% interval\" w l 2 ",fileresprobmorprev); |
| k=0;
|
fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l 2 ",fileresprobmorprev); |
| agebase=agemin;
|
fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",fileresprobmorprev,fileresprobmorprev); |
| agelim=agemax;
|
fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"varmuptjgr%s%s%s.png\"> <br>\n", estepm,digitp,optionfilefiname,digit); |
| ftolpl=1.e-10;
|
/* fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit); |
| i1=cptcovn;
|
*/ |
| if (cptcovn < 1){i1=1;}
|
fprintf(ficgp,"\nset out \"varmuptjgr%s%s%s.png\";replot;",digitp,optionfilefiname,digit); |
|
|
|
| for(cptcov=1;cptcov<=i1;cptcov++){
|
free_vector(xp,1,npar); |
| for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
|
free_matrix(doldm,1,nlstate,1,nlstate); |
| k=k+1;
|
free_matrix(dnewm,1,nlstate,1,npar); |
| /*printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);*/
|
free_matrix(doldmp,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); |
| fprintf(ficrespl,"\n#****** ");
|
free_matrix(dnewmp,nlstate+1,nlstate+ndeath,1,npar); |
| for(j=1;j<=cptcovn;j++)
|
free_matrix(varppt,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); |
| fprintf(ficrespl,"V%d=%d ",Tvar[j],nbcode[Tvar[j]][codtab[k][j]]);
|
if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
| fprintf(ficrespl,"******\n");
|
fclose(ficresprobmorprev); |
|
|
fclose(ficgp); |
| for (age=agebase; age<=agelim; age++){
|
fclose(fichtm); |
| prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
|
} |
| fprintf(ficrespl,"%.0f",age );
|
|
| for(i=1; i<=nlstate;i++)
|
/************ Variance of prevlim ******************/ |
| fprintf(ficrespl," %.5f", prlim[i][i]);
|
void varprevlim(char fileres[], double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij) |
| fprintf(ficrespl,"\n");
|
{ |
| }
|
/* Variance of prevalence limit */ |
| }
|
/* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/ |
| }
|
double **newm; |
| fclose(ficrespl);
|
double **dnewm,**doldm; |
| /*------------- h Pij x at various ages ------------*/
|
int i, j, nhstepm, hstepm; |
|
|
int k, cptcode; |
| strcpy(filerespij,"pij"); strcat(filerespij,fileres);
|
double *xp; |
| if((ficrespij=fopen(filerespij,"w"))==NULL) {
|
double *gp, *gm; |
| printf("Problem with Pij resultfile: %s\n", filerespij);goto end;
|
double **gradg, **trgradg; |
| }
|
double age,agelim; |
| printf("Computing pij: result on file '%s' \n", filerespij);
|
int theta; |
|
|
|
| stepsize=(int) (stepm+YEARM-1)/YEARM;
|
fprintf(ficresvpl,"# Standard deviation of stable prevalences \n"); |
| if (stepm<=24) stepsize=2;
|
fprintf(ficresvpl,"# Age"); |
|
|
for(i=1; i<=nlstate;i++) |
| agelim=AGESUP;
|
fprintf(ficresvpl," %1d-%1d",i,i); |
| hstepm=stepsize*YEARM; /* Every year of age */
|
fprintf(ficresvpl,"\n"); |
| hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */
|
|
|
|
xp=vector(1,npar); |
| k=0;
|
dnewm=matrix(1,nlstate,1,npar); |
| for(cptcov=1;cptcov<=i1;cptcov++){
|
doldm=matrix(1,nlstate,1,nlstate); |
| for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
|
|
| k=k+1;
|
hstepm=1*YEARM; /* Every year of age */ |
| fprintf(ficrespij,"\n#****** ");
|
hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */ |
| for(j=1;j<=cptcovn;j++)
|
agelim = AGESUP; |
| fprintf(ficrespij,"V%d=%d ",Tvar[j],nbcode[Tvar[j]][codtab[k][j]]);
|
for (age=bage; age<=fage; age ++){ /* If stepm=6 months */ |
| fprintf(ficrespij,"******\n");
|
nhstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ |
|
|
if (stepm >= YEARM) hstepm=1; |
| for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */
|
nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */ |
| nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */
|
gradg=matrix(1,npar,1,nlstate); |
| nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
|
gp=vector(1,nlstate); |
| p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
|
gm=vector(1,nlstate); |
| oldm=oldms;savm=savms;
|
|
| hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);
|
for(theta=1; theta <=npar; theta++){ |
| fprintf(ficrespij,"# Age");
|
for(i=1; i<=npar; i++){ /* Computes gradient */ |
| for(i=1; i<=nlstate;i++)
|
xp[i] = x[i] + (i==theta ?delti[theta]:0); |
| for(j=1; j<=nlstate+ndeath;j++)
|
} |
| fprintf(ficrespij," %1d-%1d",i,j);
|
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij); |
| fprintf(ficrespij,"\n");
|
for(i=1;i<=nlstate;i++) |
| for (h=0; h<=nhstepm; h++){
|
gp[i] = prlim[i][i]; |
| fprintf(ficrespij,"%d %.0f %.0f",k,agedeb, agedeb+ h*hstepm/YEARM*stepm );
|
|
| for(i=1; i<=nlstate;i++)
|
for(i=1; i<=npar; i++) /* Computes gradient */ |
| for(j=1; j<=nlstate+ndeath;j++)
|
xp[i] = x[i] - (i==theta ?delti[theta]:0); |
| fprintf(ficrespij," %.5f", p3mat[i][j][h]);
|
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij); |
| fprintf(ficrespij,"\n");
|
for(i=1;i<=nlstate;i++) |
| }
|
gm[i] = prlim[i][i]; |
| free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
|
|
| fprintf(ficrespij,"\n");
|
for(i=1;i<=nlstate;i++) |
| }
|
gradg[theta][i]= (gp[i]-gm[i])/2./delti[theta]; |
| }
|
} /* End theta */ |
| }
|
|
|
|
trgradg =matrix(1,nlstate,1,npar); |
| fclose(ficrespij);
|
|
|
|
for(j=1; j<=nlstate;j++) |
| /*---------- Health expectancies and variances ------------*/
|
for(theta=1; theta <=npar; theta++) |
|
|
trgradg[j][theta]=gradg[theta][j]; |
| strcpy(filerest,"t");
|
|
| strcat(filerest,fileres);
|
for(i=1;i<=nlstate;i++) |
| if((ficrest=fopen(filerest,"w"))==NULL) {
|
varpl[i][(int)age] =0.; |
| printf("Problem with total LE resultfile: %s\n", filerest);goto end;
|
matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov); |
| }
|
matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg); |
| printf("Computing Total LEs with variances: file '%s' \n", filerest);
|
for(i=1;i<=nlstate;i++) |
|
|
varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */ |
|
|
|
| strcpy(filerese,"e");
|
fprintf(ficresvpl,"%.0f ",age ); |
| strcat(filerese,fileres);
|
for(i=1; i<=nlstate;i++) |
| if((ficreseij=fopen(filerese,"w"))==NULL) {
|
fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age])); |
| printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
|
fprintf(ficresvpl,"\n"); |
| }
|
free_vector(gp,1,nlstate); |
| printf("Computing Health Expectancies: result on file '%s' \n", filerese);
|
free_vector(gm,1,nlstate); |
|
|
free_matrix(gradg,1,npar,1,nlstate); |
| strcpy(fileresv,"v");
|
free_matrix(trgradg,1,nlstate,1,npar); |
| strcat(fileresv,fileres);
|
} /* End age */ |
| if((ficresvij=fopen(fileresv,"w"))==NULL) {
|
|
| printf("Problem with variance resultfile: %s\n", fileresv);exit(0);
|
free_vector(xp,1,npar); |
| }
|
free_matrix(doldm,1,nlstate,1,npar); |
| printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
|
free_matrix(dnewm,1,nlstate,1,nlstate); |
|
|
|
| k=0;
|
} |
| for(cptcov=1;cptcov<=i1;cptcov++){
|
|
| for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
|
/************ Variance of one-step probabilities ******************/ |
| k=k+1;
|
void varprob(char optionfilefiname[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int *Tvar, int **nbcode, int *ncodemax) |
| fprintf(ficrest,"\n#****** ");
|
{ |
| for(j=1;j<=cptcovn;j++)
|
int i, j=0, i1, k1, l1, t, tj; |
| fprintf(ficrest,"V%d=%d ",Tvar[j],nbcode[Tvar[j]][codtab[k][j]]);
|
int k2, l2, j1, z1; |
| fprintf(ficrest,"******\n");
|
int k=0,l, cptcode; |
|
|
int first=1, first1; |
| fprintf(ficreseij,"\n#****** ");
|
double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp; |
| for(j=1;j<=cptcovn;j++)
|
double **dnewm,**doldm; |
| fprintf(ficreseij,"V%d=%d ",j,nbcode[j][codtab[k][j]]);
|
double *xp; |
| fprintf(ficreseij,"******\n");
|
double *gp, *gm; |
|
|
double **gradg, **trgradg; |
| fprintf(ficresvij,"\n#****** ");
|
double **mu; |
| for(j=1;j<=cptcovn;j++)
|
double age,agelim, cov[NCOVMAX]; |
| fprintf(ficresvij,"V%d=%d ",j,nbcode[j][codtab[k][j]]);
|
double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */ |
| fprintf(ficresvij,"******\n");
|
int theta; |
|
|
char fileresprob[FILENAMELENGTH]; |
| eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
|
char fileresprobcov[FILENAMELENGTH]; |
| oldm=oldms;savm=savms;
|
char fileresprobcor[FILENAMELENGTH]; |
| evsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k);
|
|
| vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
|
double ***varpij; |
| oldm=oldms;savm=savms;
|
|
| varevsij(fileres, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);
|
strcpy(fileresprob,"prob"); |
|
|
strcat(fileresprob,fileres); |
| fprintf(ficrest,"#Total LEs with variances: e.. (std) ");
|
if((ficresprob=fopen(fileresprob,"w"))==NULL) { |
| for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);
|
printf("Problem with resultfile: %s\n", fileresprob); |
| fprintf(ficrest,"\n");
|
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob); |
|
|
} |
| hf=1;
|
strcpy(fileresprobcov,"probcov"); |
| if (stepm >= YEARM) hf=stepm/YEARM;
|
strcat(fileresprobcov,fileres); |
| epj=vector(1,nlstate+1);
|
if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) { |
| for(age=bage; age <=fage ;age++){
|
printf("Problem with resultfile: %s\n", fileresprobcov); |
| prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
|
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov); |
| fprintf(ficrest," %.0f",age);
|
} |
| for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){
|
strcpy(fileresprobcor,"probcor"); |
| for(i=1, epj[j]=0.;i <=nlstate;i++) {
|
strcat(fileresprobcor,fileres); |
| epj[j] += prlim[i][i]*hf*eij[i][j][(int)age];
|
if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) { |
| }
|
printf("Problem with resultfile: %s\n", fileresprobcor); |
| epj[nlstate+1] +=epj[j];
|
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor); |
| }
|
} |
| for(i=1, vepp=0.;i <=nlstate;i++)
|
printf("Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob); |
| for(j=1;j <=nlstate;j++)
|
fprintf(ficlog,"Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob); |
| vepp += vareij[i][j][(int)age];
|
printf("Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov); |
| fprintf(ficrest," %.2f (%.2f)", epj[nlstate+1],hf*sqrt(vepp));
|
fprintf(ficlog,"Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov); |
| for(j=1;j <=nlstate;j++){
|
printf("and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor); |
| fprintf(ficrest," %.2f (%.2f)", epj[j],hf*sqrt(vareij[j][j][(int)age]));
|
fprintf(ficlog,"and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor); |
| }
|
|
| fprintf(ficrest,"\n");
|
fprintf(ficresprob,"#One-step probabilities and stand. devi in ()\n"); |
| }
|
fprintf(ficresprob,"# Age"); |
| }
|
fprintf(ficresprobcov,"#One-step probabilities and covariance matrix\n"); |
| }
|
fprintf(ficresprobcov,"# Age"); |
|
|
fprintf(ficresprobcor,"#One-step probabilities and correlation matrix\n"); |
| fclose(ficreseij);
|
fprintf(ficresprobcov,"# Age"); |
| fclose(ficresvij);
|
|
| fclose(ficrest);
|
|
| fclose(ficpar);
|
for(i=1; i<=nlstate;i++) |
| free_vector(epj,1,nlstate+1);
|
for(j=1; j<=(nlstate+ndeath);j++){ |
| /*scanf("%d ",i); */
|
fprintf(ficresprob," p%1d-%1d (SE)",i,j); |
|
|
fprintf(ficresprobcov," p%1d-%1d ",i,j); |
| /*------- Variance limit prevalence------*/
|
fprintf(ficresprobcor," p%1d-%1d ",i,j); |
|
|
} |
| strcpy(fileresvpl,"vpl");
|
/* fprintf(ficresprob,"\n"); |
| strcat(fileresvpl,fileres);
|
fprintf(ficresprobcov,"\n"); |
| if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
|
fprintf(ficresprobcor,"\n"); |
| printf("Problem with variance prev lim resultfile: %s\n", fileresvpl);
|
*/ |
| exit(0);
|
xp=vector(1,npar); |
| }
|
dnewm=matrix(1,(nlstate)*(nlstate+ndeath),1,npar); |
| printf("Computing Variance-covariance of Prevalence limit: file '%s' \n", fileresvpl);
|
doldm=matrix(1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath)); |
|
|
mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage); |
| k=0;
|
varpij=ma3x(1,nlstate*(nlstate+ndeath),1,nlstate*(nlstate+ndeath),(int) bage, (int) fage); |
| for(cptcov=1;cptcov<=i1;cptcov++){
|
first=1; |
| for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
|
if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { |
| k=k+1;
|
printf("Problem with gnuplot file: %s\n", optionfilegnuplot); |
| fprintf(ficresvpl,"\n#****** ");
|
fprintf(ficlog,"Problem with gnuplot file: %s\n", optionfilegnuplot); |
| for(j=1;j<=cptcovn;j++)
|
exit(0); |
| fprintf(ficresvpl,"V%d=%d ",Tvar[j],nbcode[Tvar[j]][codtab[k][j]]);
|
} |
| fprintf(ficresvpl,"******\n");
|
else{ |
|
|
fprintf(ficgp,"\n# Routine varprob"); |
| varpl=matrix(1,nlstate,(int) bage, (int) fage);
|
} |
| oldm=oldms;savm=savms;
|
if((fichtm=fopen(optionfilehtm,"a"))==NULL) { |
| varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);
|
printf("Problem with html file: %s\n", optionfilehtm); |
| }
|
fprintf(ficlog,"Problem with html file: %s\n", optionfilehtm); |
| }
|
exit(0); |
|
|
} |
| fclose(ficresvpl);
|
else{ |
|
|
fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n"); |
| /*---------- End : free ----------------*/
|
fprintf(fichtm,"\n"); |
| free_matrix(varpl,1,nlstate,(int) bage, (int)fage);
|
|
|
|
fprintf(fichtm,"\n<li><h4> Computing matrix of variance-covariance of step probabilities</h4></li>\n"); |
| free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);
|
fprintf(fichtm,"\nWe have drawn ellipsoids of confidence around the p<inf>ij</inf>, p<inf>kl</inf> to understand the covariance between two incidences. They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>\n"); |
| free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
|
fprintf(fichtm,"\n<br> We have drawn x'cov<sup>-1</sup>x = 4 where x is the column vector (pij,pkl). It means that if pij and pkl where uncorrelated the (2X2) matrix would have been (1/(var pij), 0 , 0, 1/(var pkl)), and the confidence interval would be 2 standard deviations wide on each axis. <br> When both incidences are correlated we diagonalised the inverse of the covariance matrix and made the appropriate rotation.<br> \n"); |
|
|
|
|
|
} |
| free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);
|
|
| free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);
|
cov[1]=1; |
| free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);
|
tj=cptcoveff; |
| free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);
|
if (cptcovn<1) {tj=1;ncodemax[1]=1;} |
|
|
j1=0; |
| free_matrix(matcov,1,npar,1,npar);
|
for(t=1; t<=tj;t++){ |
| free_vector(delti,1,npar);
|
for(i1=1; i1<=ncodemax[t];i1++){ |
|
|
j1++; |
| free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
|
if (cptcovn>0) { |
|
|
fprintf(ficresprob, "\n#********** Variable "); |
| printf("End of Imach\n");
|
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]); |
| /* gettimeofday(&end_time, (struct timezone*)0);*/ /* after time */
|
fprintf(ficresprob, "**********\n#\n"); |
|
|
fprintf(ficresprobcov, "\n#********** Variable "); |
| /* printf("Total time was %d Sec. %d uSec.\n", end_time.tv_sec -start_time.tv_sec, end_time.tv_usec -start_time.tv_usec);*/
|
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]); |
| /*printf("Total time was %d uSec.\n", total_usecs);*/
|
fprintf(ficresprobcov, "**********\n#\n"); |
| /*------ End -----------*/
|
|
|
|
fprintf(ficgp, "\n#********** Variable "); |
| end:
|
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]); |
| #ifdef windows
|
fprintf(ficgp, "**********\n#\n"); |
| chdir(pathcd);
|
|
| #endif
|
|
| system("wgnuplot graph.plt");
|
fprintf(fichtm, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable "); |
|
|
for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]); |
| #ifdef windows
|
fprintf(fichtm, "**********\n<hr size=\"2\" color=\"#EC5E5E\">"); |
| while (z[0] != 'q') {
|
|
| chdir(pathcd);
|
fprintf(ficresprobcor, "\n#********** Variable "); |
| printf("\nType e to edit output files, c to start again, and q for exiting: ");
|
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]); |
| scanf("%s",z);
|
fprintf(ficresprobcor, "**********\n#"); |
| if (z[0] == 'c') system("./imach");
|
} |
| else if (z[0] == 'e') {
|
|
| chdir(path);
|
for (age=bage; age<=fage; age ++){ |
| system("index.htm");
|
cov[2]=age; |
| }
|
for (k=1; k<=cptcovn;k++) { |
| else if (z[0] == 'q') exit(0);
|
cov[2+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]]; |
| }
|
} |
| #endif
|
for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; |
| }
|
for (k=1; k<=cptcovprod;k++) |
|
|
cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]]; |
|
|
|
| |
gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath)); |
| |
trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar); |
| |
gp=vector(1,(nlstate)*(nlstate+ndeath)); |
| |
gm=vector(1,(nlstate)*(nlstate+ndeath)); |
| |
|
| |
for(theta=1; theta <=npar; theta++){ |
| |
for(i=1; i<=npar; i++) |
| |
xp[i] = x[i] + (i==theta ?delti[theta]:0); |
| |
|
| |
pmij(pmmij,cov,ncovmodel,xp,nlstate); |
| |
|
| |
k=0; |
| |
for(i=1; i<= (nlstate); i++){ |
| |
for(j=1; j<=(nlstate+ndeath);j++){ |
| |
k=k+1; |
| |
gp[k]=pmmij[i][j]; |
| |
} |
| |
} |
| |
|
| |
for(i=1; i<=npar; i++) |
| |
xp[i] = x[i] - (i==theta ?delti[theta]:0); |
| |
|
| |
pmij(pmmij,cov,ncovmodel,xp,nlstate); |
| |
k=0; |
| |
for(i=1; i<=(nlstate); i++){ |
| |
for(j=1; j<=(nlstate+ndeath);j++){ |
| |
k=k+1; |
| |
gm[k]=pmmij[i][j]; |
| |
} |
| |
} |
| |
|
| |
for(i=1; i<= (nlstate)*(nlstate+ndeath); i++) |
| |
gradg[theta][i]=(gp[i]-gm[i])/2./delti[theta]; |
| |
} |
| |
|
| |
for(j=1; j<=(nlstate)*(nlstate+ndeath);j++) |
| |
for(theta=1; theta <=npar; theta++) |
| |
trgradg[j][theta]=gradg[theta][j]; |
| |
|
| |
matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov); |
| |
matprod2(doldm,dnewm,1,(nlstate)*(nlstate+ndeath),1,npar,1,(nlstate)*(nlstate+ndeath),gradg); |
| |
free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath)); |
| |
free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath)); |
| |
free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); |
| |
free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); |
| |
|
| |
pmij(pmmij,cov,ncovmodel,x,nlstate); |
| |
|
| |
k=0; |
| |
for(i=1; i<=(nlstate); i++){ |
| |
for(j=1; j<=(nlstate+ndeath);j++){ |
| |
k=k+1; |
| |
mu[k][(int) age]=pmmij[i][j]; |
| |
} |
| |
} |
| |
for(i=1;i<=(nlstate)*(nlstate+ndeath);i++) |
| |
for(j=1;j<=(nlstate)*(nlstate+ndeath);j++) |
| |
varpij[i][j][(int)age] = doldm[i][j]; |
| |
|
| |
/*printf("\n%d ",(int)age); |
| |
for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){ |
| |
printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); |
| |
fprintf(ficlog,"%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); |
| |
}*/ |
| |
|
| |
fprintf(ficresprob,"\n%d ",(int)age); |
| |
fprintf(ficresprobcov,"\n%d ",(int)age); |
| |
fprintf(ficresprobcor,"\n%d ",(int)age); |
| |
|
| |
for (i=1; i<=(nlstate)*(nlstate+ndeath);i++) |
| |
fprintf(ficresprob,"%11.3e (%11.3e) ",mu[i][(int) age],sqrt(varpij[i][i][(int)age])); |
| |
for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){ |
| |
fprintf(ficresprobcov,"%11.3e ",mu[i][(int) age]); |
| |
fprintf(ficresprobcor,"%11.3e ",mu[i][(int) age]); |
| |
} |
| |
i=0; |
| |
for (k=1; k<=(nlstate);k++){ |
| |
for (l=1; l<=(nlstate+ndeath);l++){ |
| |
i=i++; |
| |
fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l); |
| |
fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l); |
| |
for (j=1; j<=i;j++){ |
| |
fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]); |
| |
fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age])); |
| |
} |
| |
} |
| |
}/* end of loop for state */ |
| |
} /* end of loop for age */ |
| |
|
| |
/* Confidence intervalle of pij */ |
| |
/* |
| |
fprintf(ficgp,"\nset noparametric;unset label"); |
| |
fprintf(ficgp,"\nset log y;unset log x; set xlabel \"Age\";set ylabel \"probability (year-1)\""); |
| |
fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65"); |
| |
fprintf(fichtm,"\n<br>Probability with confidence intervals expressed in year<sup>-1</sup> :<a href=\"pijgr%s.png\">pijgr%s.png</A>, ",optionfilefiname,optionfilefiname); |
| |
fprintf(fichtm,"\n<br><img src=\"pijgr%s.png\"> ",optionfilefiname); |
| |
fprintf(ficgp,"\nset out \"pijgr%s.png\"",optionfilefiname); |
| |
fprintf(ficgp,"\nplot \"%s\" every :::%d::%d u 1:2 \"\%%lf",k1,k2,xfilevarprob); |
| |
*/ |
| |
|
| |
/* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/ |
| |
first1=1; |
| |
for (k2=1; k2<=(nlstate);k2++){ |
| |
for (l2=1; l2<=(nlstate+ndeath);l2++){ |
| |
if(l2==k2) continue; |
| |
j=(k2-1)*(nlstate+ndeath)+l2; |
| |
for (k1=1; k1<=(nlstate);k1++){ |
| |
for (l1=1; l1<=(nlstate+ndeath);l1++){ |
| |
if(l1==k1) continue; |
| |
i=(k1-1)*(nlstate+ndeath)+l1; |
| |
if(i<=j) continue; |
| |
for (age=bage; age<=fage; age ++){ |
| |
if ((int)age %5==0){ |
| |
v1=varpij[i][i][(int)age]/stepm*YEARM/stepm*YEARM; |
| |
v2=varpij[j][j][(int)age]/stepm*YEARM/stepm*YEARM; |
| |
cv12=varpij[i][j][(int)age]/stepm*YEARM/stepm*YEARM; |
| |
mu1=mu[i][(int) age]/stepm*YEARM ; |
| |
mu2=mu[j][(int) age]/stepm*YEARM; |
| |
c12=cv12/sqrt(v1*v2); |
| |
/* Computing eigen value of matrix of covariance */ |
| |
lc1=((v1+v2)+sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.; |
| |
lc2=((v1+v2)-sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.; |
| |
/* Eigen vectors */ |
| |
v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12)); |
| |
/*v21=sqrt(1.-v11*v11); *//* error */ |
| |
v21=(lc1-v1)/cv12*v11; |
| |
v12=-v21; |
| |
v22=v11; |
| |
tnalp=v21/v11; |
| |
if(first1==1){ |
| |
first1=0; |
| |
printf("%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tang %.3f\nOthers in log...\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp); |
| |
} |
| |
fprintf(ficlog,"%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp); |
| |
/*printf(fignu*/ |
| |
/* mu1+ v11*lc1*cost + v12*lc2*sin(t) */ |
| |
/* mu2+ v21*lc1*cost + v22*lc2*sin(t) */ |
| |
if(first==1){ |
| |
first=0; |
| |
fprintf(ficgp,"\nset parametric;unset label"); |
| |
fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2); |
| |
fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65"); |
| |
fprintf(fichtm,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup> :<a href=\"varpijgr%s%d%1d%1d-%1d%1d.png\">varpijgr%s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,optionfilefiname, j1,k1,l1,k2,l2,optionfilefiname, j1,k1,l1,k2,l2); |
| |
fprintf(fichtm,"\n<br><img src=\"varpijgr%s%d%1d%1d-%1d%1d.png\"> ",optionfilefiname, j1,k1,l1,k2,l2); |
| |
fprintf(fichtm,"\n<br> Correlation at age %d (%.3f),",(int) age, c12); |
| |
fprintf(ficgp,"\nset out \"varpijgr%s%d%1d%1d-%1d%1d.png\"",optionfilefiname, j1,k1,l1,k2,l2); |
| |
fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2); |
| |
fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2); |
| |
fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not",\ |
| |
mu1,std,v11,sqrt(lc1),v12,sqrt(lc2),\ |
| |
mu2,std,v21,sqrt(lc1),v22,sqrt(lc2)); |
| |
}else{ |
| |
first=0; |
| |
fprintf(fichtm," %d (%.3f),",(int) age, c12); |
| |
fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2); |
| |
fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2); |
| |
fprintf(ficgp,"\nreplot %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not",\ |
| |
mu1,std,v11,sqrt(lc1),v12,sqrt(lc2),\ |
| |
mu2,std,v21,sqrt(lc1),v22,sqrt(lc2)); |
| |
}/* if first */ |
| |
} /* age mod 5 */ |
| |
} /* end loop age */ |
| |
fprintf(ficgp,"\nset out \"varpijgr%s%d%1d%1d-%1d%1d.png\";replot;",optionfilefiname, j1,k1,l1,k2,l2); |
| |
first=1; |
| |
} /*l12 */ |
| |
} /* k12 */ |
| |
} /*l1 */ |
| |
}/* k1 */ |
| |
} /* loop covariates */ |
| |
} |
| |
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_vector(xp,1,npar); |
| |
fclose(ficresprob); |
| |
fclose(ficresprobcov); |
| |
fclose(ficresprobcor); |
| |
fclose(ficgp); |
| |
fclose(fichtm); |
| |
} |
| |
|
| |
|
| |
/******************* Printing html file ***********/ |
| |
void printinghtml(char fileres[], char title[], char datafile[], int firstpass, \ |
| |
int lastpass, int stepm, int weightopt, char model[],\ |
| |
int imx,int jmin, int jmax, double jmeanint,char rfileres[],\ |
| |
int popforecast, int estepm ,\ |
| |
double jprev1, double mprev1,double anprev1, \ |
| |
double jprev2, double mprev2,double anprev2){ |
| |
int jj1, k1, i1, cpt; |
| |
/*char optionfilehtm[FILENAMELENGTH];*/ |
| |
if((fichtm=fopen(optionfilehtm,"a"))==NULL) { |
| |
printf("Problem with %s \n",optionfilehtm), exit(0); |
| |
fprintf(ficlog,"Problem with %s \n",optionfilehtm), exit(0); |
| |
} |
| |
|
| |
fprintf(fichtm,"<ul><li><h4>Result files (first order: no variance)</h4>\n |
| |
- Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"p%s\">p%s</a> <br>\n |
| |
- Estimated transition probabilities over %d (stepm) months: <a href=\"pij%s\">pij%s</a><br>\n |
| |
- Stable prevalence in each health state: <a href=\"pl%s\">pl%s</a> <br>\n |
| |
- Life expectancies by age and initial health status (estepm=%2d months): |
| |
<a href=\"e%s\">e%s</a> <br>\n</li>", \ |
| |
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,fileres,fileres,stepm,fileres,fileres,fileres,fileres,estepm,fileres,fileres); |
| |
|
| |
fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>"); |
| |
|
| |
m=cptcoveff; |
| |
if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
| |
|
| |
jj1=0; |
| |
for(k1=1; k1<=m;k1++){ |
| |
for(i1=1; i1<=ncodemax[k1];i1++){ |
| |
jj1++; |
| |
if (cptcovn > 0) { |
| |
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
| |
for (cpt=1; cpt<=cptcoveff;cpt++) |
| |
fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[jj1][cpt]]); |
| |
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
| |
} |
| |
/* Pij */ |
| |
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before: pe%s%d1.png<br> |
| |
<img src=\"pe%s%d1.png\">",stepm,strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1); |
| |
/* Quasi-incidences */ |
| |
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: pe%s%d2.png<br> |
| |
<img src=\"pe%s%d2.png\">",stepm,strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1); |
| |
/* Stable prevalence in each health state */ |
| |
for(cpt=1; cpt<nlstate;cpt++){ |
| |
fprintf(fichtm,"<br>- Stable prevalence in each health state : p%s%d%d.png<br> |
| |
<img src=\"p%s%d%d.png\">",strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1); |
| |
} |
| |
for(cpt=1; cpt<=nlstate;cpt++) { |
| |
fprintf(fichtm,"\n<br>- Health life expectancies by age and initial health state (%d): exp%s%d%d.png <br> |
| |
<img src=\"exp%s%d%d.png\">",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1); |
| |
} |
| |
fprintf(fichtm,"\n<br>- Total life expectancy by age and |
| |
health expectancies in states (1) and (2): e%s%d.png<br> |
| |
<img src=\"e%s%d.png\">",strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1); |
| |
} /* end i1 */ |
| |
}/* End k1 */ |
| |
fprintf(fichtm,"</ul>"); |
| |
|
| |
|
| |
fprintf(fichtm,"\n<br><li><h4> Result files (second order: variances)</h4>\n |
| |
- Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br>\n |
| |
- Variance of one-step probabilities: <a href=\"prob%s\">prob%s</a> <br>\n |
| |
- Variance-covariance of one-step probabilities: <a href=\"probcov%s\">probcov%s</a> <br>\n |
| |
- Correlation matrix of one-step probabilities: <a href=\"probcor%s\">probcor%s</a> <br>\n |
| |
- Variances and covariances of life expectancies by age and initial health status (estepm=%d months): <a href=\"v%s\">v%s</a><br>\n |
| |
- Health expectancies with their variances (no covariance): <a href=\"t%s\">t%s</a> <br>\n |
| |
- Standard deviation of stable prevalences: <a href=\"vpl%s\">vpl%s</a> <br>\n",rfileres,rfileres,fileres,fileres,fileres,fileres,fileres,fileres, estepm, fileres,fileres,fileres,fileres,fileres,fileres); |
| |
|
| |
if(popforecast==1) fprintf(fichtm,"\n |
| |
- Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n |
| |
- Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n |
| |
<br>",fileres,fileres,fileres,fileres); |
| |
else |
| |
fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); |
| |
fprintf(fichtm," <ul><li><b>Graphs</b></li><p>"); |
| |
|
| |
m=cptcoveff; |
| |
if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
| |
|
| |
jj1=0; |
| |
for(k1=1; k1<=m;k1++){ |
| |
for(i1=1; i1<=ncodemax[k1];i1++){ |
| |
jj1++; |
| |
if (cptcovn > 0) { |
| |
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
| |
for (cpt=1; cpt<=cptcoveff;cpt++) |
| |
fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[jj1][cpt]]); |
| |
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
| |
} |
| |
for(cpt=1; cpt<=nlstate;cpt++) { |
| |
fprintf(fichtm,"<br>- Observed and stationary prevalence (with confident |
| |
interval) in state (%d): v%s%d%d.png <br> |
| |
<img src=\"v%s%d%d.png\">",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1); |
| |
} |
| |
} /* end i1 */ |
| |
}/* End k1 */ |
| |
fprintf(fichtm,"</ul>"); |
| |
fclose(fichtm); |
| |
} |
| |
|
| |
/******************* Gnuplot file **************/ |
| |
void printinggnuplot(char fileres[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){ |
| |
|
| |
int m,cpt,k1,i,k,j,jk,k2,k3,ij,l; |
| |
int ng; |
| |
if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { |
| |
printf("Problem with file %s",optionfilegnuplot); |
| |
fprintf(ficlog,"Problem with file %s",optionfilegnuplot); |
| |
} |
| |
|
| |
/*#ifdef windows */ |
| |
fprintf(ficgp,"cd \"%s\" \n",pathc); |
| |
/*#endif */ |
| |
m=pow(2,cptcoveff); |
| |
|
| |
/* 1eme*/ |
| |
for (cpt=1; cpt<= nlstate ; cpt ++) { |
| |
for (k1=1; k1<= m ; k1 ++) { |
| |
fprintf(ficgp,"\nset out \"v%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1); |
| |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"vpl%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,fileres,k1-1,k1-1); |
| |
|
| |
for (i=1; i<= nlstate ; i ++) { |
| |
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)"); |
| |
else fprintf(ficgp," \%%*lf (\%%*lf)"); |
| |
} |
| |
fprintf(ficgp,"\" t\"Stable prevalence\" w l 0,\"vpl%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",fileres,k1-1,k1-1); |
| |
for (i=1; i<= nlstate ; i ++) { |
| |
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)"); |
| |
else fprintf(ficgp," \%%*lf (\%%*lf)"); |
| |
} |
| |
fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"vpl%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",fileres,k1-1,k1-1); |
| |
for (i=1; i<= nlstate ; i ++) { |
| |
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)"); |
| |
else fprintf(ficgp," \%%*lf (\%%*lf)"); |
| |
} |
| |
fprintf(ficgp,"\" t\"\" w l 1,\"p%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",fileres,k1-1,k1-1,2+4*(cpt-1)); |
| |
} |
| |
} |
| |
/*2 eme*/ |
| |
|
| |
for (k1=1; k1<= m ; k1 ++) { |
| |
fprintf(ficgp,"\nset out \"e%s%d.png\" \n",strtok(optionfile, "."),k1); |
| |
fprintf(ficgp,"set ylabel \"Years\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] ",ageminpar,fage); |
| |
|
| |
for (i=1; i<= nlstate+1 ; i ++) { |
| |
k=2*i; |
| |
fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:2 \"\%%lf",fileres,k1-1,k1-1); |
| |
for (j=1; j<= nlstate+1 ; j ++) { |
| |
if (j==i) fprintf(ficgp," \%%lf (\%%lf)"); |
| |
else fprintf(ficgp," \%%*lf (\%%*lf)"); |
| |
} |
| |
if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,"); |
| |
else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1); |
| |
fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2-$3*2) \"\%%lf",fileres,k1-1,k1-1); |
| |
for (j=1; j<= nlstate+1 ; j ++) { |
| |
if (j==i) fprintf(ficgp," \%%lf (\%%lf)"); |
| |
else fprintf(ficgp," \%%*lf (\%%*lf)"); |
| |
} |
| |
fprintf(ficgp,"\" t\"\" w l 0,"); |
| |
fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",fileres,k1-1,k1-1); |
| |
for (j=1; j<= nlstate+1 ; j ++) { |
| |
if (j==i) fprintf(ficgp," \%%lf (\%%lf)"); |
| |
else fprintf(ficgp," \%%*lf (\%%*lf)"); |
| |
} |
| |
if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l 0"); |
| |
else fprintf(ficgp,"\" t\"\" w l 0,"); |
| |
} |
| |
} |
| |
|
| |
/*3eme*/ |
| |
|
| |
for (k1=1; k1<= m ; k1 ++) { |
| |
for (cpt=1; cpt<= nlstate ; cpt ++) { |
| |
k=2+nlstate*(2*cpt-2); |
| |
fprintf(ficgp,"\nset out \"exp%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1); |
| |
fprintf(ficgp,"set ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"e%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,fileres,k1-1,k1-1,k,cpt); |
| |
/*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); |
| |
for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); |
| |
fprintf(ficgp,"\" t \"e%d1\" w l",cpt); |
| |
fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); |
| |
for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); |
| |
fprintf(ficgp,"\" t \"e%d1\" w l",cpt); |
| |
|
| |
*/ |
| |
for (i=1; i< nlstate ; i ++) { |
| |
fprintf(ficgp," ,\"e%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",fileres,k1-1,k1-1,k+2*i,cpt,i+1); |
| |
|
| |
} |
| |
} |
| |
} |
| |
|
| |
/* CV preval stat */ |
| |
for (k1=1; k1<= m ; k1 ++) { |
| |
for (cpt=1; cpt<nlstate ; cpt ++) { |
| |
k=3; |
| |
fprintf(ficgp,"\nset out \"p%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1); |
| |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",ageminpar,agemaxpar,fileres,k1,k+cpt+1,k+1); |
| |
|
| |
for (i=1; i< nlstate ; i ++) |
| |
fprintf(ficgp,"+$%d",k+i+1); |
| |
fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1); |
| |
|
| |
l=3+(nlstate+ndeath)*cpt; |
| |
fprintf(ficgp,",\"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",fileres,k1,l+cpt+1,l+1); |
| |
for (i=1; i< nlstate ; i ++) { |
| |
l=3+(nlstate+ndeath)*cpt; |
| |
fprintf(ficgp,"+$%d",l+i+1); |
| |
} |
| |
fprintf(ficgp,")) t\"prev(%d,%d)\" w l\n",cpt+1,cpt+1); |
| |
} |
| |
} |
| |
|
| |
/* proba elementaires */ |
| |
for(i=1,jk=1; i <=nlstate; i++){ |
| |
for(k=1; k <=(nlstate+ndeath); k++){ |
| |
if (k != i) { |
| |
for(j=1; j <=ncovmodel; j++){ |
| |
fprintf(ficgp,"p%d=%f ",jk,p[jk]); |
| |
jk++; |
| |
fprintf(ficgp,"\n"); |
| |
} |
| |
} |
| |
} |
| |
} |
| |
|
| |
for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/ |
| |
for(jk=1; jk <=m; jk++) { |
| |
fprintf(ficgp,"\nset out \"pe%s%d%d.png\" \n",strtok(optionfile, "."),jk,ng); |
| |
if (ng==2) |
| |
fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n"); |
| |
else |
| |
fprintf(ficgp,"\nset title \"Probability\"\n"); |
| |
fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65\nset log y\nplot [%.f:%.f] ",ageminpar,agemaxpar); |
| |
i=1; |
| |
for(k2=1; k2<=nlstate; k2++) { |
| |
k3=i; |
| |
for(k=1; k<=(nlstate+ndeath); k++) { |
| |
if (k != k2){ |
| |
if(ng==2) |
| |
fprintf(ficgp," %f*exp(p%d+p%d*x",YEARM/stepm,i,i+1); |
| |
else |
| |
fprintf(ficgp," exp(p%d+p%d*x",i,i+1); |
| |
ij=1; |
| |
for(j=3; j <=ncovmodel; j++) { |
| |
if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { |
| |
fprintf(ficgp,"+p%d*%d*x",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]); |
| |
ij++; |
| |
} |
| |
else |
| |
fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]); |
| |
} |
| |
fprintf(ficgp,")/(1"); |
| |
|
| |
for(k1=1; k1 <=nlstate; k1++){ |
| |
fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1); |
| |
ij=1; |
| |
for(j=3; j <=ncovmodel; j++){ |
| |
if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { |
| |
fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]); |
| |
ij++; |
| |
} |
| |
else |
| |
fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]); |
| |
} |
| |
fprintf(ficgp,")"); |
| |
} |
| |
fprintf(ficgp,") t \"p%d%d\" ", k2,k); |
| |
if ((k+k2)!= (nlstate*2+ndeath)) fprintf(ficgp,","); |
| |
i=i+ncovmodel; |
| |
} |
| |
} /* end k */ |
| |
} /* end k2 */ |
| |
} /* end jk */ |
| |
} /* end ng */ |
| |
fclose(ficgp); |
| |
} /* end gnuplot */ |
| |
|
| |
|
| |
/*************** Moving average **************/ |
| |
int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav){ |
| |
|
| |
int i, cpt, cptcod; |
| |
int modcovmax =1; |
| |
int mobilavrange, mob; |
| |
double age; |
| |
|
| |
modcovmax=2*cptcoveff;/* Max number of modalities. We suppose |
| |
a covariate has 2 modalities */ |
| |
if (cptcovn<1) modcovmax=1; /* At least 1 pass */ |
| |
|
| |
if(mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){ |
| |
if(mobilav==1) mobilavrange=5; /* default */ |
| |
else mobilavrange=mobilav; |
| |
for (age=bage; age<=fage; age++) |
| |
for (i=1; i<=nlstate;i++) |
| |
for (cptcod=1;cptcod<=modcovmax;cptcod++) |
| |
mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod]; |
| |
/* We keep the original values on the extreme ages bage, fage and for |
| |
fage+1 and bage-1 we use a 3 terms moving average; for fage+2 bage+2 |
| |
we use a 5 terms etc. until the borders are no more concerned. |
| |
*/ |
| |
for (mob=3;mob <=mobilavrange;mob=mob+2){ |
| |
for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ |
| |
for (i=1; i<=nlstate;i++){ |
| |
for (cptcod=1;cptcod<=modcovmax;cptcod++){ |
| |
mobaverage[(int)age][i][cptcod] =probs[(int)age][i][cptcod]; |
| |
for (cpt=1;cpt<=(mob-1)/2;cpt++){ |
| |
mobaverage[(int)age][i][cptcod] +=probs[(int)age-cpt][i][cptcod]; |
| |
mobaverage[(int)age][i][cptcod] +=probs[(int)age+cpt][i][cptcod]; |
| |
} |
| |
mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/mob; |
| |
} |
| |
} |
| |
}/* end age */ |
| |
}/* end mob */ |
| |
}else return -1; |
| |
return 0; |
| |
}/* End movingaverage */ |
| |
|
| |
|
| |
/************** Forecasting ******************/ |
| |
prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){ |
| |
/* proj1, year, month, day of starting projection |
| |
agemin, agemax range of age |
| |
dateprev1 dateprev2 range of dates during which prevalence is computed |
| |
anproj2 year of en of projection (same day and month as proj1). |
| |
*/ |
| |
int yearp, stepsize, hstepm, nhstepm, j, k, c, cptcod, i, h; |
| |
int *popage; |
| |
double agec; /* generic age */ |
| |
double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean; |
| |
double *popeffectif,*popcount; |
| |
double ***p3mat; |
| |
double ***mobaverage; |
| |
char fileresf[FILENAMELENGTH]; |
| |
|
| |
agelim=AGESUP; |
| |
prevalence(ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); |
| |
|
| |
strcpy(fileresf,"f"); |
| |
strcat(fileresf,fileres); |
| |
if((ficresf=fopen(fileresf,"w"))==NULL) { |
| |
printf("Problem with forecast resultfile: %s\n", fileresf); |
| |
fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf); |
| |
} |
| |
printf("Computing forecasting: result on file '%s' \n", fileresf); |
| |
fprintf(ficlog,"Computing forecasting: result on file '%s' \n", fileresf); |
| |
|
| |
if (cptcoveff==0) ncodemax[cptcoveff]=1; |
| |
|
| |
if (mobilav!=0) { |
| |
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
| |
if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){ |
| |
fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); |
| |
printf(" Error in movingaverage mobilav=%d\n",mobilav); |
| |
} |
| |
} |
| |
|
| |
stepsize=(int) (stepm+YEARM-1)/YEARM; |
| |
if (stepm<=12) stepsize=1; |
| |
|
| |
hstepm=1; |
| |
hstepm=hstepm/stepm; |
| |
yp1=modf(dateintmean,&yp);/* extracts integral of datemean in yp and |
| |
fractional in yp1 */ |
| |
anprojmean=yp; |
| |
yp2=modf((yp1*12),&yp); |
| |
mprojmean=yp; |
| |
yp1=modf((yp2*30.5),&yp); |
| |
jprojmean=yp; |
| |
if(jprojmean==0) jprojmean=1; |
| |
if(mprojmean==0) jprojmean=1; |
| |
|
| |
fprintf(ficresf,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); |
| |
|
| |
fprintf(ficresf,"#****** Routine prevforecast **\n"); |
| |
for(cptcov=1, k=0;cptcov<=cptcoveff;cptcov++){ |
| |
for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){ |
| |
k=k+1; |
| |
fprintf(ficresf,"\n#******"); |
| |
for(j=1;j<=cptcoveff;j++) { |
| |
fprintf(ficresf," V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); |
| |
} |
| |
fprintf(ficresf,"******\n"); |
| |
fprintf(ficresf,"# Covariate valuofcovar yearproj age"); |
| |
for(j=1; j<=nlstate+ndeath;j++){ |
| |
for(i=1; i<=nlstate;i++) |
| |
fprintf(ficresf," p%d%d",i,j); |
| |
fprintf(ficresf," p.%d",j); |
| |
} |
| |
for (yearp=0; yearp<=(anproj2-anproj1);yearp++) { |
| |
fprintf(ficresf,"\n"); |
| |
fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp); |
| |
|
| |
for (agec=fage; agec>=(ageminpar-1); agec--){ |
| |
nhstepm=(int) rint((agelim-agec)*YEARM/stepm); |
| |
nhstepm = nhstepm/hstepm; |
| |
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
oldm=oldms;savm=savms; |
| |
hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k); |
| |
|
| |
for (h=0; h<=nhstepm; h++){ |
| |
if (h==(int) (YEARM*yearp)) { |
| |
fprintf(ficresf,"\n"); |
| |
for(j=1;j<=cptcoveff;j++) |
| |
fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); |
| |
fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm); |
| |
} |
| |
for(j=1; j<=nlstate+ndeath;j++) { |
| |
ppij=0.; |
| |
for(i=1; i<=nlstate;i++) { |
| |
if (mobilav==1) |
| |
ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][cptcod]; |
| |
else { |
| |
ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][cptcod]; |
| |
} |
| |
if (h==(int)(YEARM*yearp)) |
| |
fprintf(ficresf," %.3f", p3mat[i][j][h]); |
| |
} |
| |
if (h==(int)(YEARM*yearp)){ |
| |
fprintf(ficresf," %.3f", ppij); |
| |
} |
| |
} |
| |
} |
| |
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
} |
| |
} |
| |
} |
| |
} |
| |
|
| |
if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
| |
|
| |
fclose(ficresf); |
| |
} |
| |
|
| |
/************** Forecasting *****not tested NB*************/ |
| |
populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){ |
| |
|
| |
int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h; |
| |
int *popage; |
| |
double calagedatem, agelim, kk1, kk2; |
| |
double *popeffectif,*popcount; |
| |
double ***p3mat,***tabpop,***tabpopprev; |
| |
double ***mobaverage; |
| |
char filerespop[FILENAMELENGTH]; |
| |
|
| |
tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
| |
tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
| |
agelim=AGESUP; |
| |
calagedatem=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM; |
| |
|
| |
prevalence(ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); |
| |
|
| |
|
| |
strcpy(filerespop,"pop"); |
| |
strcat(filerespop,fileres); |
| |
if((ficrespop=fopen(filerespop,"w"))==NULL) { |
| |
printf("Problem with forecast resultfile: %s\n", filerespop); |
| |
fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop); |
| |
} |
| |
printf("Computing forecasting: result on file '%s' \n", filerespop); |
| |
fprintf(ficlog,"Computing forecasting: result on file '%s' \n", filerespop); |
| |
|
| |
if (cptcoveff==0) ncodemax[cptcoveff]=1; |
| |
|
| |
if (mobilav!=0) { |
| |
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
| |
if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){ |
| |
fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); |
| |
printf(" Error in movingaverage mobilav=%d\n",mobilav); |
| |
} |
| |
} |
| |
|
| |
stepsize=(int) (stepm+YEARM-1)/YEARM; |
| |
if (stepm<=12) stepsize=1; |
| |
|
| |
agelim=AGESUP; |
| |
|
| |
hstepm=1; |
| |
hstepm=hstepm/stepm; |
| |
|
| |
if (popforecast==1) { |
| |
if((ficpop=fopen(popfile,"r"))==NULL) { |
| |
printf("Problem with population file : %s\n",popfile);exit(0); |
| |
fprintf(ficlog,"Problem with population file : %s\n",popfile);exit(0); |
| |
} |
| |
popage=ivector(0,AGESUP); |
| |
popeffectif=vector(0,AGESUP); |
| |
popcount=vector(0,AGESUP); |
| |
|
| |
i=1; |
| |
while ((c=fscanf(ficpop,"%d %lf\n",&popage[i],&popcount[i])) != EOF) i=i+1; |
| |
|
| |
imx=i; |
| |
for (i=1; i<imx;i++) popeffectif[popage[i]]=popcount[i]; |
| |
} |
| |
|
| |
for(cptcov=1,k=0;cptcov<=i2;cptcov++){ |
| |
for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){ |
| |
k=k+1; |
| |
fprintf(ficrespop,"\n#******"); |
| |
for(j=1;j<=cptcoveff;j++) { |
| |
fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); |
| |
} |
| |
fprintf(ficrespop,"******\n"); |
| |
fprintf(ficrespop,"# Age"); |
| |
for(j=1; j<=nlstate+ndeath;j++) fprintf(ficrespop," P.%d",j); |
| |
if (popforecast==1) fprintf(ficrespop," [Population]"); |
| |
|
| |
for (cpt=0; cpt<=0;cpt++) { |
| |
fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt); |
| |
|
| |
for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ |
| |
nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); |
| |
nhstepm = nhstepm/hstepm; |
| |
|
| |
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
oldm=oldms;savm=savms; |
| |
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); |
| |
|
| |
for (h=0; h<=nhstepm; h++){ |
| |
if (h==(int) (calagedatem+YEARM*cpt)) { |
| |
fprintf(ficrespop,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm); |
| |
} |
| |
for(j=1; j<=nlstate+ndeath;j++) { |
| |
kk1=0.;kk2=0; |
| |
for(i=1; i<=nlstate;i++) { |
| |
if (mobilav==1) |
| |
kk1=kk1+p3mat[i][j][h]*mobaverage[(int)agedeb+1][i][cptcod]; |
| |
else { |
| |
kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod]; |
| |
} |
| |
} |
| |
if (h==(int)(calagedatem+12*cpt)){ |
| |
tabpop[(int)(agedeb)][j][cptcod]=kk1; |
| |
/*fprintf(ficrespop," %.3f", kk1); |
| |
if (popforecast==1) fprintf(ficrespop," [%.f]", kk1*popeffectif[(int)agedeb+1]);*/ |
| |
} |
| |
} |
| |
for(i=1; i<=nlstate;i++){ |
| |
kk1=0.; |
| |
for(j=1; j<=nlstate;j++){ |
| |
kk1= kk1+tabpop[(int)(agedeb)][j][cptcod]; |
| |
} |
| |
tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1*popeffectif[(int)(agedeb+(calagedatem+12*cpt)*hstepm/YEARM*stepm-1)]; |
| |
} |
| |
|
| |
if (h==(int)(calagedatem+12*cpt)) for(j=1; j<=nlstate;j++) |
| |
fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]); |
| |
} |
| |
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
} |
| |
} |
| |
|
| |
/******/ |
| |
|
| |
for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) { |
| |
fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt); |
| |
for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ |
| |
nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); |
| |
nhstepm = nhstepm/hstepm; |
| |
|
| |
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
oldm=oldms;savm=savms; |
| |
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); |
| |
for (h=0; h<=nhstepm; h++){ |
| |
if (h==(int) (calagedatem+YEARM*cpt)) { |
| |
fprintf(ficresf,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm); |
| |
} |
| |
for(j=1; j<=nlstate+ndeath;j++) { |
| |
kk1=0.;kk2=0; |
| |
for(i=1; i<=nlstate;i++) { |
| |
kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod]; |
| |
} |
| |
if (h==(int)(calagedatem+12*cpt)) fprintf(ficresf," %15.2f", kk1); |
| |
} |
| |
} |
| |
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
} |
| |
} |
| |
} |
| |
} |
| |
|
| |
if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
| |
|
| |
if (popforecast==1) { |
| |
free_ivector(popage,0,AGESUP); |
| |
free_vector(popeffectif,0,AGESUP); |
| |
free_vector(popcount,0,AGESUP); |
| |
} |
| |
free_ma3x(tabpop,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
| |
free_ma3x(tabpopprev,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
| |
fclose(ficrespop); |
| |
} |
| |
|
| |
/***********************************************/ |
| |
/**************** Main Program *****************/ |
| |
/***********************************************/ |
| |
|
| |
int main(int argc, char *argv[]) |
| |
{ |
| |
int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav); |
| |
int i,j, k, n=MAXN,iter,m,size,cptcode, cptcod; |
| |
double agedeb, agefin,hf; |
| |
double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20; |
| |
|
| |
double fret; |
| |
double **xi,tmp,delta; |
| |
|
| |
double dum; /* Dummy variable */ |
| |
double ***p3mat; |
| |
double ***mobaverage; |
| |
int *indx; |
| |
char line[MAXLINE], linepar[MAXLINE]; |
| |
char path[80],pathc[80],pathcd[80],pathtot[80],model[80]; |
| |
int firstobs=1, lastobs=10; |
| |
int sdeb, sfin; /* Status at beginning and end */ |
| |
int c, h , cpt,l; |
| |
int ju,jl, mi; |
| |
int i1,j1, k1,k2,k3,jk,aa,bb, stepsize, ij; |
| |
int jnais,jdc,jint4,jint1,jint2,jint3,**outcome,*tab; |
| |
int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */ |
| |
int mobilav=0,popforecast=0; |
| |
int hstepm, nhstepm; |
| |
double jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,jpyram, mpyram,anpyram,jpyram1, mpyram1,anpyram1; |
| |
|
| |
double bage, fage, age, agelim, agebase; |
| |
double ftolpl=FTOL; |
| |
double **prlim; |
| |
double *severity; |
| |
double ***param; /* Matrix of parameters */ |
| |
double *p; |
| |
double **matcov; /* Matrix of covariance */ |
| |
double ***delti3; /* Scale */ |
| |
double *delti; /* Scale */ |
| |
double ***eij, ***vareij; |
| |
double **varpl; /* Variances of prevalence limits by age */ |
| |
double *epj, vepp; |
| |
double kk1, kk2; |
| |
double dateprev1, dateprev2,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2; |
| |
|
| |
char *alph[]={"a","a","b","c","d","e"}, str[4]; |
| |
|
| |
|
| |
char z[1]="c", occ; |
| |
#include <sys/time.h> |
| |
#include <time.h> |
| |
char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80]; |
| |
|
| |
/* long total_usecs; |
| |
struct timeval start_time, end_time; |
| |
|
| |
gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */ |
| |
getcwd(pathcd, size); |
| |
|
| |
printf("\n%s",version); |
| |
if(argc <=1){ |
| |
printf("\nEnter the parameter file name: "); |
| |
scanf("%s",pathtot); |
| |
} |
| |
else{ |
| |
strcpy(pathtot,argv[1]); |
| |
} |
| |
/*if(getcwd(pathcd, 80)!= NULL)printf ("Error pathcd\n");*/ |
| |
/*cygwin_split_path(pathtot,path,optionfile); |
| |
printf("pathtot=%s, path=%s, optionfile=%s\n",pathtot,path,optionfile);*/ |
| |
/* cutv(path,optionfile,pathtot,'\\');*/ |
| |
|
| |
split(pathtot,path,optionfile,optionfilext,optionfilefiname); |
| |
printf("pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname); |
| |
chdir(path); |
| |
replace(pathc,path); |
| |
|
| |
/*-------- arguments in the command line --------*/ |
| |
|
| |
/* Log file */ |
| |
strcat(filelog, optionfilefiname); |
| |
strcat(filelog,".log"); /* */ |
| |
if((ficlog=fopen(filelog,"w"))==NULL) { |
| |
printf("Problem with logfile %s\n",filelog); |
| |
goto end; |
| |
} |
| |
fprintf(ficlog,"Log filename:%s\n",filelog); |
| |
fprintf(ficlog,"\n%s",version); |
| |
fprintf(ficlog,"\nEnter the parameter file name: "); |
| |
fprintf(ficlog,"pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname); |
| |
fflush(ficlog); |
| |
|
| |
/* */ |
| |
strcpy(fileres,"r"); |
| |
strcat(fileres, optionfilefiname); |
| |
strcat(fileres,".txt"); /* Other files have txt extension */ |
| |
|
| |
/*---------arguments file --------*/ |
| |
|
| |
if((ficpar=fopen(optionfile,"r"))==NULL) { |
| |
printf("Problem with optionfile %s\n",optionfile); |
| |
fprintf(ficlog,"Problem with optionfile %s\n",optionfile); |
| |
goto end; |
| |
} |
| |
|
| |
strcpy(filereso,"o"); |
| |
strcat(filereso,fileres); |
| |
if((ficparo=fopen(filereso,"w"))==NULL) { |
| |
printf("Problem with Output resultfile: %s\n", filereso); |
| |
fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso); |
| |
goto end; |
| |
} |
| |
|
| |
/* Reads comments: lines beginning with '#' */ |
| |
while((c=getc(ficpar))=='#' && c!= EOF){ |
| |
ungetc(c,ficpar); |
| |
fgets(line, MAXLINE, ficpar); |
| |
puts(line); |
| |
fputs(line,ficparo); |
| |
} |
| |
ungetc(c,ficpar); |
| |
|
| |
fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model); |
| |
printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model); |
| |
fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model); |
| |
while((c=getc(ficpar))=='#' && c!= EOF){ |
| |
ungetc(c,ficpar); |
| |
fgets(line, MAXLINE, ficpar); |
| |
puts(line); |
| |
fputs(line,ficparo); |
| |
} |
| |
ungetc(c,ficpar); |
| |
|
| |
|
| |
covar=matrix(0,NCOVMAX,1,n); |
| |
cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement*/ |
| |
if (strlen(model)>1) cptcovn=nbocc(model,'+')+1; |
| |
|
| |
ncovmodel=2+cptcovn; /*Number of variables = cptcovn + intercept + age */ |
| |
nvar=ncovmodel-1; /* Suppressing age as a basic covariate */ |
| |
|
| |
/* Read guess parameters */ |
| |
/* Reads comments: lines beginning with '#' */ |
| |
while((c=getc(ficpar))=='#' && c!= EOF){ |
| |
ungetc(c,ficpar); |
| |
fgets(line, MAXLINE, ficpar); |
| |
puts(line); |
| |
fputs(line,ficparo); |
| |
} |
| |
ungetc(c,ficpar); |
| |
|
| |
param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); |
| |
for(i=1; i <=nlstate; i++) |
| |
for(j=1; j <=nlstate+ndeath-1; j++){ |
| |
fscanf(ficpar,"%1d%1d",&i1,&j1); |
| |
fprintf(ficparo,"%1d%1d",i1,j1); |
| |
if(mle==1) |
| |
printf("%1d%1d",i,j); |
| |
fprintf(ficlog,"%1d%1d",i,j); |
| |
for(k=1; k<=ncovmodel;k++){ |
| |
fscanf(ficpar," %lf",¶m[i][j][k]); |
| |
if(mle==1){ |
| |
printf(" %lf",param[i][j][k]); |
| |
fprintf(ficlog," %lf",param[i][j][k]); |
| |
} |
| |
else |
| |
fprintf(ficlog," %lf",param[i][j][k]); |
| |
fprintf(ficparo," %lf",param[i][j][k]); |
| |
} |
| |
fscanf(ficpar,"\n"); |
| |
if(mle==1) |
| |
printf("\n"); |
| |
fprintf(ficlog,"\n"); |
| |
fprintf(ficparo,"\n"); |
| |
} |
| |
|
| |
npar= (nlstate+ndeath-1)*nlstate*ncovmodel; /* Number of parameters*/ |
| |
|
| |
p=param[1][1]; |
| |
|
| |
/* Reads comments: lines beginning with '#' */ |
| |
while((c=getc(ficpar))=='#' && c!= EOF){ |
| |
ungetc(c,ficpar); |
| |
fgets(line, MAXLINE, ficpar); |
| |
puts(line); |
| |
fputs(line,ficparo); |
| |
} |
| |
ungetc(c,ficpar); |
| |
|
| |
delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); |
| |
delti=vector(1,npar); /* Scale of each paramater (output from hesscov) */ |
| |
for(i=1; i <=nlstate; i++){ |
| |
for(j=1; j <=nlstate+ndeath-1; j++){ |
| |
fscanf(ficpar,"%1d%1d",&i1,&j1); |
| |
printf("%1d%1d",i,j); |
| |
fprintf(ficparo,"%1d%1d",i1,j1); |
| |
for(k=1; k<=ncovmodel;k++){ |
| |
fscanf(ficpar,"%le",&delti3[i][j][k]); |
| |
printf(" %le",delti3[i][j][k]); |
| |
fprintf(ficparo," %le",delti3[i][j][k]); |
| |
} |
| |
fscanf(ficpar,"\n"); |
| |
printf("\n"); |
| |
fprintf(ficparo,"\n"); |
| |
} |
| |
} |
| |
delti=delti3[1][1]; |
| |
|
| |
/* Reads comments: lines beginning with '#' */ |
| |
while((c=getc(ficpar))=='#' && c!= EOF){ |
| |
ungetc(c,ficpar); |
| |
fgets(line, MAXLINE, ficpar); |
| |
puts(line); |
| |
fputs(line,ficparo); |
| |
} |
| |
ungetc(c,ficpar); |
| |
|
| |
matcov=matrix(1,npar,1,npar); |
| |
for(i=1; i <=npar; i++){ |
| |
fscanf(ficpar,"%s",&str); |
| |
if(mle==1) |
| |
printf("%s",str); |
| |
fprintf(ficlog,"%s",str); |
| |
fprintf(ficparo,"%s",str); |
| |
for(j=1; j <=i; j++){ |
| |
fscanf(ficpar," %le",&matcov[i][j]); |
| |
if(mle==1){ |
| |
printf(" %.5le",matcov[i][j]); |
| |
fprintf(ficlog," %.5le",matcov[i][j]); |
| |
} |
| |
else |
| |
fprintf(ficlog," %.5le",matcov[i][j]); |
| |
fprintf(ficparo," %.5le",matcov[i][j]); |
| |
} |
| |
fscanf(ficpar,"\n"); |
| |
if(mle==1) |
| |
printf("\n"); |
| |
fprintf(ficlog,"\n"); |
| |
fprintf(ficparo,"\n"); |
| |
} |
| |
for(i=1; i <=npar; i++) |
| |
for(j=i+1;j<=npar;j++) |
| |
matcov[i][j]=matcov[j][i]; |
| |
|
| |
if(mle==1) |
| |
printf("\n"); |
| |
fprintf(ficlog,"\n"); |
| |
|
| |
|
| |
/*-------- Rewriting paramater file ----------*/ |
| |
strcpy(rfileres,"r"); /* "Rparameterfile */ |
| |
strcat(rfileres,optionfilefiname); /* Parameter file first name*/ |
| |
strcat(rfileres,"."); /* */ |
| |
strcat(rfileres,optionfilext); /* Other files have txt extension */ |
| |
if((ficres =fopen(rfileres,"w"))==NULL) { |
| |
printf("Problem writing new parameter file: %s\n", fileres);goto end; |
| |
fprintf(ficlog,"Problem writing new parameter file: %s\n", fileres);goto end; |
| |
} |
| |
fprintf(ficres,"#%s\n",version); |
| |
|
| |
/*-------- data file ----------*/ |
| |
if((fic=fopen(datafile,"r"))==NULL) { |
| |
printf("Problem with datafile: %s\n", datafile);goto end; |
| |
fprintf(ficlog,"Problem with datafile: %s\n", datafile);goto end; |
| |
} |
| |
|
| |
n= lastobs; |
| |
severity = vector(1,maxwav); |
| |
outcome=imatrix(1,maxwav+1,1,n); |
| |
num=ivector(1,n); |
| |
moisnais=vector(1,n); |
| |
annais=vector(1,n); |
| |
moisdc=vector(1,n); |
| |
andc=vector(1,n); |
| |
agedc=vector(1,n); |
| |
cod=ivector(1,n); |
| |
weight=vector(1,n); |
| |
for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */ |
| |
mint=matrix(1,maxwav,1,n); |
| |
anint=matrix(1,maxwav,1,n); |
| |
s=imatrix(1,maxwav+1,1,n); |
| |
tab=ivector(1,NCOVMAX); |
| |
ncodemax=ivector(1,8); |
| |
|
| |
i=1; |
| |
while (fgets(line, MAXLINE, fic) != NULL) { |
| |
if ((i >= firstobs) && (i <=lastobs)) { |
| |
|
| |
for (j=maxwav;j>=1;j--){ |
| |
cutv(stra, strb,line,' '); s[j][i]=atoi(strb); |
| |
strcpy(line,stra); |
| |
cutv(stra, strb,line,'/'); anint[j][i]=(double)(atoi(strb)); strcpy(line,stra); |
| |
cutv(stra, strb,line,' '); mint[j][i]=(double)(atoi(strb)); strcpy(line,stra); |
| |
} |
| |
|
| |
cutv(stra, strb,line,'/'); andc[i]=(double)(atoi(strb)); strcpy(line,stra); |
| |
cutv(stra, strb,line,' '); moisdc[i]=(double)(atoi(strb)); strcpy(line,stra); |
| |
|
| |
cutv(stra, strb,line,'/'); annais[i]=(double)(atoi(strb)); strcpy(line,stra); |
| |
cutv(stra, strb,line,' '); moisnais[i]=(double)(atoi(strb)); strcpy(line,stra); |
| |
|
| |
cutv(stra, strb,line,' '); weight[i]=(double)(atoi(strb)); strcpy(line,stra); |
| |
for (j=ncovcol;j>=1;j--){ |
| |
cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra); |
| |
} |
| |
num[i]=atol(stra); |
| |
|
| |
/*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){ |
| |
printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]),weight[i], (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]), (mint[2][i]), (anint[2][i]), (s[2][i]), (mint[3][i]), (anint[3][i]), (s[3][i]), (mint[4][i]), (anint[4][i]), (s[4][i])); ij=ij+1;}*/ |
| |
|
| |
i=i+1; |
| |
} |
| |
} |
| |
/* printf("ii=%d", ij); |
| |
scanf("%d",i);*/ |
| |
imx=i-1; /* Number of individuals */ |
| |
|
| |
/* for (i=1; i<=imx; i++){ |
| |
if ((s[1][i]==3) && (s[2][i]==2)) s[2][i]=3; |
| |
if ((s[2][i]==3) && (s[3][i]==2)) s[3][i]=3; |
| |
if ((s[3][i]==3) && (s[4][i]==2)) s[4][i]=3; |
| |
}*/ |
| |
/* for (i=1; i<=imx; i++){ |
| |
if (s[4][i]==9) s[4][i]=-1; |
| |
printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]), (mint[2][i]), (anint[2][i]), (s[2][i]), (mint[3][i]), (anint[3][i]), (s[3][i]), (mint[4][i]), (anint[4][i]), (s[4][i]));}*/ |
| |
|
| |
for (i=1; i<=imx; i++) |
| |
|
| |
/*if ((s[3][i]==3) || (s[4][i]==3)) weight[i]=0.08; |
| |
else weight[i]=1;*/ |
| |
|
| |
/* Calculation of the number of parameter from char model*/ |
| |
Tvar=ivector(1,15); /* stores the number n of the covariates in Vm+Vn at 1 and m at 2 */ |
| |
Tprod=ivector(1,15); |
| |
Tvaraff=ivector(1,15); |
| |
Tvard=imatrix(1,15,1,2); |
| |
Tage=ivector(1,15); |
| |
|
| |
if (strlen(model) >1){ /* If there is at least 1 covariate */ |
| |
j=0, j1=0, k1=1, k2=1; |
| |
j=nbocc(model,'+'); /* j=Number of '+' */ |
| |
j1=nbocc(model,'*'); /* j1=Number of '*' */ |
| |
cptcovn=j+1; |
| |
cptcovprod=j1; /*Number of products */ |
| |
|
| |
strcpy(modelsav,model); |
| |
if ((strcmp(model,"age")==0) || (strcmp(model,"age*age")==0)){ |
| |
printf("Error. Non available option model=%s ",model); |
| |
fprintf(ficlog,"Error. Non available option model=%s ",model); |
| |
goto end; |
| |
} |
| |
|
| |
/* This loop fills the array Tvar from the string 'model'.*/ |
| |
|
| |
for(i=(j+1); i>=1;i--){ |
| |
cutv(stra,strb,modelsav,'+'); /* keeps in strb after the last + */ |
| |
if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */ |
| |
/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/ |
| |
/*scanf("%d",i);*/ |
| |
if (strchr(strb,'*')) { /* Model includes a product */ |
| |
cutv(strd,strc,strb,'*'); /* strd*strc Vm*Vn (if not *age)*/ |
| |
if (strcmp(strc,"age")==0) { /* Vn*age */ |
| |
cptcovprod--; |
| |
cutv(strb,stre,strd,'V'); |
| |
Tvar[i]=atoi(stre); /* computes n in Vn and stores in Tvar*/ |
| |
cptcovage++; |
| |
Tage[cptcovage]=i; |
| |
/*printf("stre=%s ", stre);*/ |
| |
} |
| |
else if (strcmp(strd,"age")==0) { /* or age*Vn */ |
| |
cptcovprod--; |
| |
cutv(strb,stre,strc,'V'); |
| |
Tvar[i]=atoi(stre); |
| |
cptcovage++; |
| |
Tage[cptcovage]=i; |
| |
} |
| |
else { /* Age is not in the model */ |
| |
cutv(strb,stre,strc,'V'); /* strc= Vn, stre is n*/ |
| |
Tvar[i]=ncovcol+k1; |
| |
cutv(strb,strc,strd,'V'); /* strd was Vm, strc is m */ |
| |
Tprod[k1]=i; |
| |
Tvard[k1][1]=atoi(strc); /* m*/ |
| |
Tvard[k1][2]=atoi(stre); /* n */ |
| |
Tvar[cptcovn+k2]=Tvard[k1][1]; |
| |
Tvar[cptcovn+k2+1]=Tvard[k1][2]; |
| |
for (k=1; k<=lastobs;k++) |
| |
covar[ncovcol+k1][k]=covar[atoi(stre)][k]*covar[atoi(strc)][k]; |
| |
k1++; |
| |
k2=k2+2; |
| |
} |
| |
} |
| |
else { /* no more sum */ |
| |
/*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/ |
| |
/* scanf("%d",i);*/ |
| |
cutv(strd,strc,strb,'V'); |
| |
Tvar[i]=atoi(strc); |
| |
} |
| |
strcpy(modelsav,stra); |
| |
/*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav); |
| |
scanf("%d",i);*/ |
| |
} /* end of loop + */ |
| |
} /* end model */ |
| |
|
| |
/*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products. |
| |
If model=V1+V1*age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0*/ |
| |
|
| |
/* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]); |
| |
printf("cptcovprod=%d ", cptcovprod); |
| |
fprintf(ficlog,"cptcovprod=%d ", cptcovprod); |
| |
|
| |
scanf("%d ",i); |
| |
fclose(fic);*/ |
| |
|
| |
/* if(mle==1){*/ |
| |
if (weightopt != 1) { /* Maximisation without weights*/ |
| |
for(i=1;i<=n;i++) weight[i]=1.0; |
| |
} |
| |
/*-calculation of age at interview from date of interview and age at death -*/ |
| |
agev=matrix(1,maxwav,1,imx); |
| |
|
| |
for (i=1; i<=imx; i++) { |
| |
for(m=2; (m<= maxwav); m++) { |
| |
if ((mint[m][i]== 99) && (s[m][i] <= nlstate)){ |
| |
anint[m][i]=9999; |
| |
s[m][i]=-1; |
| |
} |
| |
if(moisdc[i]==99 && andc[i]==9999 & s[m][i]>nlstate) s[m][i]=-1; |
| |
} |
| |
} |
| |
|
| |
for (i=1; i<=imx; i++) { |
| |
agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]); |
| |
for(m=firstpass; (m<= lastpass); m++){ |
| |
if(s[m][i] >0){ |
| |
if (s[m][i] >= nlstate+1) { |
| |
if(agedc[i]>0) |
| |
if(moisdc[i]!=99 && andc[i]!=9999) |
| |
agev[m][i]=agedc[i]; |
| |
/*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/ |
| |
else { |
| |
if (andc[i]!=9999){ |
| |
printf("Warning negative age at death: %d line:%d\n",num[i],i); |
| |
fprintf(ficlog,"Warning negative age at death: %d line:%d\n",num[i],i); |
| |
agev[m][i]=-1; |
| |
} |
| |
} |
| |
} |
| |
else if(s[m][i] !=9){ /* Standard case, age in fractional |
| |
years but with the precision of a |
| |
month */ |
| |
agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]); |
| |
if(mint[m][i]==99 || anint[m][i]==9999) |
| |
agev[m][i]=1; |
| |
else if(agev[m][i] <agemin){ |
| |
agemin=agev[m][i]; |
| |
/*printf(" Min anint[%d][%d]=%.2f annais[%d]=%.2f, agemin=%.2f\n",m,i,anint[m][i], i,annais[i], agemin);*/ |
| |
} |
| |
else if(agev[m][i] >agemax){ |
| |
agemax=agev[m][i]; |
| |
/* printf(" anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.0f\n",m,i,anint[m][i], i,annais[i], agemax);*/ |
| |
} |
| |
/*agev[m][i]=anint[m][i]-annais[i];*/ |
| |
/* agev[m][i] = age[i]+2*m;*/ |
| |
} |
| |
else { /* =9 */ |
| |
agev[m][i]=1; |
| |
s[m][i]=-1; |
| |
} |
| |
} |
| |
else /*= 0 Unknown */ |
| |
agev[m][i]=1; |
| |
} |
| |
|
| |
} |
| |
for (i=1; i<=imx; i++) { |
| |
for(m=firstpass; (m<=lastpass); m++){ |
| |
if (s[m][i] > (nlstate+ndeath)) { |
| |
printf("Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath); |
| |
fprintf(ficlog,"Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath); |
| |
goto end; |
| |
} |
| |
} |
| |
} |
| |
|
| |
/*for (i=1; i<=imx; i++){ |
| |
for (m=firstpass; (m<lastpass); m++){ |
| |
printf("%d %d %.lf %d %d\n", num[i],(covar[1][i]),agev[m][i],s[m][i],s[m+1][i]); |
| |
} |
| |
|
| |
}*/ |
| |
|
| |
printf("Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax); |
| |
fprintf(ficlog,"Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax); |
| |
|
| |
free_vector(severity,1,maxwav); |
| |
free_imatrix(outcome,1,maxwav+1,1,n); |
| |
free_vector(moisnais,1,n); |
| |
free_vector(annais,1,n); |
| |
/* free_matrix(mint,1,maxwav,1,n); |
| |
free_matrix(anint,1,maxwav,1,n);*/ |
| |
free_vector(moisdc,1,n); |
| |
free_vector(andc,1,n); |
| |
|
| |
|
| |
wav=ivector(1,imx); |
| |
dh=imatrix(1,lastpass-firstpass+1,1,imx); |
| |
bh=imatrix(1,lastpass-firstpass+1,1,imx); |
| |
mw=imatrix(1,lastpass-firstpass+1,1,imx); |
| |
|
| |
/* Concatenates waves */ |
| |
concatwav(wav, dh, bh, mw, s, agedc, agev, firstpass, lastpass, imx, nlstate, stepm); |
| |
|
| |
/* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */ |
| |
|
| |
Tcode=ivector(1,100); |
| |
nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); |
| |
ncodemax[1]=1; |
| |
if (cptcovn > 0) tricode(Tvar,nbcode,imx); |
| |
|
| |
codtab=imatrix(1,100,1,10); /* Cross tabulation to get the order of |
| |
the estimations*/ |
| |
h=0; |
| |
m=pow(2,cptcoveff); |
| |
|
| |
for(k=1;k<=cptcoveff; k++){ |
| |
for(i=1; i <=(m/pow(2,k));i++){ |
| |
for(j=1; j <= ncodemax[k]; j++){ |
| |
for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){ |
| |
h++; |
| |
if (h>m) h=1;codtab[h][k]=j;codtab[h][Tvar[k]]=j; |
| |
/* printf("h=%d k=%d j=%d codtab[h][k]=%d tvar[k]=%d \n",h, k,j,codtab[h][k],Tvar[k]);*/ |
| |
} |
| |
} |
| |
} |
| |
} |
| |
/* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]); |
| |
codtab[1][2]=1;codtab[2][2]=2; */ |
| |
/* for(i=1; i <=m ;i++){ |
| |
for(k=1; k <=cptcovn; k++){ |
| |
printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff); |
| |
} |
| |
printf("\n"); |
| |
} |
| |
scanf("%d",i);*/ |
| |
|
| |
/* Calculates basic frequencies. Computes observed prevalence at single age |
| |
and prints on file fileres'p'. */ |
| |
|
| |
pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ |
| |
oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ |
| |
newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ |
| |
savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ |
| |
oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */ |
| |
|
| |
|
| |
/* For Powell, parameters are in a vector p[] starting at p[1] |
| |
so we point p on param[1][1] so that p[1] maps on param[1][1][1] */ |
| |
p=param[1][1]; /* *(*(*(param +1)+1)+0) */ |
| |
|
| |
if(mle>=1){ /* Could be 1 or 2 */ |
| |
mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func); |
| |
} |
| |
|
| |
/*--------- results files --------------*/ |
| |
fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model); |
| |
|
| |
|
| |
jk=1; |
| |
fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); |
| |
printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); |
| |
fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); |
| |
for(i=1,jk=1; i <=nlstate; i++){ |
| |
for(k=1; k <=(nlstate+ndeath); k++){ |
| |
if (k != i) |
| |
{ |
| |
printf("%d%d ",i,k); |
| |
fprintf(ficlog,"%d%d ",i,k); |
| |
fprintf(ficres,"%1d%1d ",i,k); |
| |
for(j=1; j <=ncovmodel; j++){ |
| |
printf("%f ",p[jk]); |
| |
fprintf(ficlog,"%f ",p[jk]); |
| |
fprintf(ficres,"%f ",p[jk]); |
| |
jk++; |
| |
} |
| |
printf("\n"); |
| |
fprintf(ficlog,"\n"); |
| |
fprintf(ficres,"\n"); |
| |
} |
| |
} |
| |
} |
| |
if(mle==1){ |
| |
/* Computing hessian and covariance matrix */ |
| |
ftolhess=ftol; /* Usually correct */ |
| |
hesscov(matcov, p, npar, delti, ftolhess, func); |
| |
} |
| |
fprintf(ficres,"# Scales (for hessian or gradient estimation)\n"); |
| |
printf("# Scales (for hessian or gradient estimation)\n"); |
| |
fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n"); |
| |
for(i=1,jk=1; i <=nlstate; i++){ |
| |
for(j=1; j <=nlstate+ndeath; j++){ |
| |
if (j!=i) { |
| |
fprintf(ficres,"%1d%1d",i,j); |
| |
printf("%1d%1d",i,j); |
| |
fprintf(ficlog,"%1d%1d",i,j); |
| |
for(k=1; k<=ncovmodel;k++){ |
| |
printf(" %.5e",delti[jk]); |
| |
fprintf(ficlog," %.5e",delti[jk]); |
| |
fprintf(ficres," %.5e",delti[jk]); |
| |
jk++; |
| |
} |
| |
printf("\n"); |
| |
fprintf(ficlog,"\n"); |
| |
fprintf(ficres,"\n"); |
| |
} |
| |
} |
| |
} |
| |
|
| |
fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n"); |
| |
if(mle==1) |
| |
printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n"); |
| |
fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n"); |
| |
for(i=1,k=1;i<=npar;i++){ |
| |
/* if (k>nlstate) k=1; |
| |
i1=(i-1)/(ncovmodel*nlstate)+1; |
| |
fprintf(ficres,"%s%d%d",alph[k],i1,tab[i]); |
| |
printf("%s%d%d",alph[k],i1,tab[i]); |
| |
*/ |
| |
fprintf(ficres,"%3d",i); |
| |
if(mle==1) |
| |
printf("%3d",i); |
| |
fprintf(ficlog,"%3d",i); |
| |
for(j=1; j<=i;j++){ |
| |
fprintf(ficres," %.5e",matcov[i][j]); |
| |
if(mle==1) |
| |
printf(" %.5e",matcov[i][j]); |
| |
fprintf(ficlog," %.5e",matcov[i][j]); |
| |
} |
| |
fprintf(ficres,"\n"); |
| |
if(mle==1) |
| |
printf("\n"); |
| |
fprintf(ficlog,"\n"); |
| |
k++; |
| |
} |
| |
|
| |
while((c=getc(ficpar))=='#' && c!= EOF){ |
| |
ungetc(c,ficpar); |
| |
fgets(line, MAXLINE, ficpar); |
| |
puts(line); |
| |
fputs(line,ficparo); |
| |
} |
| |
ungetc(c,ficpar); |
| |
|
| |
estepm=0; |
| |
fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm); |
| |
if (estepm==0 || estepm < stepm) estepm=stepm; |
| |
if (fage <= 2) { |
| |
bage = ageminpar; |
| |
fage = agemaxpar; |
| |
} |
| |
|
| |
fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n"); |
| |
fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm); |
| |
fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm); |
| |
|
| |
while((c=getc(ficpar))=='#' && c!= EOF){ |
| |
ungetc(c,ficpar); |
| |
fgets(line, MAXLINE, ficpar); |
| |
puts(line); |
| |
fputs(line,ficparo); |
| |
} |
| |
ungetc(c,ficpar); |
| |
|
| |
fscanf(ficpar,"begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d\n",&jprev1, &mprev1,&anprev1,&jprev2, &mprev2,&anprev2,&mobilav); |
| |
fprintf(ficparo,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav); |
| |
fprintf(ficres,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav); |
| |
printf("begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav); |
| |
fprintf(ficlog,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav); |
| |
|
| |
while((c=getc(ficpar))=='#' && c!= EOF){ |
| |
ungetc(c,ficpar); |
| |
fgets(line, MAXLINE, ficpar); |
| |
puts(line); |
| |
fputs(line,ficparo); |
| |
} |
| |
ungetc(c,ficpar); |
| |
|
| |
|
| |
dateprev1=anprev1+(mprev1-1)/12.+(jprev1-1)/365.; |
| |
dateprev2=anprev2+(mprev2-1)/12.+(jprev2-1)/365.; |
| |
|
| |
fscanf(ficpar,"pop_based=%d\n",&popbased); |
| |
fprintf(ficparo,"pop_based=%d\n",popbased); |
| |
fprintf(ficres,"pop_based=%d\n",popbased); |
| |
|
| |
while((c=getc(ficpar))=='#' && c!= EOF){ |
| |
ungetc(c,ficpar); |
| |
fgets(line, MAXLINE, ficpar); |
| |
puts(line); |
| |
fputs(line,ficparo); |
| |
} |
| |
ungetc(c,ficpar); |
| |
|
| |
fscanf(ficpar,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj); |
| |
fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); |
| |
printf("prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); |
| |
fprintf(ficlog,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); |
| |
fprintf(ficres,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); |
| |
/* day and month of proj2 are not used but only year anproj2.*/ |
| |
|
| |
while((c=getc(ficpar))=='#' && c!= EOF){ |
| |
ungetc(c,ficpar); |
| |
fgets(line, MAXLINE, ficpar); |
| |
puts(line); |
| |
fputs(line,ficparo); |
| |
} |
| |
ungetc(c,ficpar); |
| |
|
| |
fscanf(ficpar,"popforecast=%d popfile=%s popfiledate=%lf/%lf/%lf last-popfiledate=%lf/%lf/%lf\n",&popforecast,popfile,&jpyram,&mpyram,&anpyram,&jpyram1,&mpyram1,&anpyram1); |
| |
fprintf(ficparo,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1); |
| |
fprintf(ficres,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1); |
| |
|
| |
freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); |
| |
|
| |
/*------------ gnuplot -------------*/ |
| |
strcpy(optionfilegnuplot,optionfilefiname); |
| |
strcat(optionfilegnuplot,".gp"); |
| |
if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) { |
| |
printf("Problem with file %s",optionfilegnuplot); |
| |
} |
| |
else{ |
| |
fprintf(ficgp,"\n# %s\n", version); |
| |
fprintf(ficgp,"# %s\n", optionfilegnuplot); |
| |
fprintf(ficgp,"set missing 'NaNq'\n"); |
| |
} |
| |
fclose(ficgp); |
| |
printinggnuplot(fileres, ageminpar,agemaxpar,fage, pathc,p); |
| |
/*--------- index.htm --------*/ |
| |
|
| |
strcpy(optionfilehtm,optionfile); |
| |
strcat(optionfilehtm,".htm"); |
| |
if((fichtm=fopen(optionfilehtm,"w"))==NULL) { |
| |
printf("Problem with %s \n",optionfilehtm), exit(0); |
| |
} |
| |
|
| |
fprintf(fichtm,"<body> <font size=\"2\">%s </font> <hr size=\"2\" color=\"#EC5E5E\"> \n |
| |
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n |
| |
\n |
| |
Total number of observations=%d <br>\n |
| |
Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n |
| |
<hr size=\"2\" color=\"#EC5E5E\"> |
| |
<ul><li><h4>Parameter files</h4>\n |
| |
- Copy of the parameter file: <a href=\"o%s\">o%s</a><br>\n |
| |
- Log file of the run: <a href=\"%s\">%s</a><br>\n |
| |
- Gnuplot file name: <a href=\"%s\">%s</a></ul>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,filelog,filelog,optionfilegnuplot,optionfilegnuplot); |
| |
fclose(fichtm); |
| |
|
| |
printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,jprev1,mprev1,anprev1,jprev2,mprev2,anprev2); |
| |
|
| |
/*------------ free_vector -------------*/ |
| |
chdir(path); |
| |
|
| |
free_ivector(wav,1,imx); |
| |
free_imatrix(dh,1,lastpass-firstpass+1,1,imx); |
| |
free_imatrix(bh,1,lastpass-firstpass+1,1,imx); |
| |
free_imatrix(mw,1,lastpass-firstpass+1,1,imx); |
| |
free_ivector(num,1,n); |
| |
free_vector(agedc,1,n); |
| |
/*free_matrix(covar,0,NCOVMAX,1,n);*/ |
| |
/*free_matrix(covar,1,NCOVMAX,1,n);*/ |
| |
fclose(ficparo); |
| |
fclose(ficres); |
| |
|
| |
|
| |
/*--------------- Prevalence limit (stable prevalence) --------------*/ |
| |
|
| |
strcpy(filerespl,"pl"); |
| |
strcat(filerespl,fileres); |
| |
if((ficrespl=fopen(filerespl,"w"))==NULL) { |
| |
printf("Problem with stable prevalence resultfile: %s\n", filerespl);goto end; |
| |
fprintf(ficlog,"Problem with stable prevalence resultfile: %s\n", filerespl);goto end; |
| |
} |
| |
printf("Computing stable prevalence: result on file '%s' \n", filerespl); |
| |
fprintf(ficlog,"Computing stable prevalence: result on file '%s' \n", filerespl); |
| |
fprintf(ficrespl,"#Stable prevalence \n"); |
| |
fprintf(ficrespl,"#Age "); |
| |
for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i); |
| |
fprintf(ficrespl,"\n"); |
| |
|
| |
prlim=matrix(1,nlstate,1,nlstate); |
| |
|
| |
agebase=ageminpar; |
| |
agelim=agemaxpar; |
| |
ftolpl=1.e-10; |
| |
i1=cptcoveff; |
| |
if (cptcovn < 1){i1=1;} |
| |
|
| |
for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
| |
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ |
| |
k=k+1; |
| |
/*printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);*/ |
| |
fprintf(ficrespl,"\n#******"); |
| |
printf("\n#******"); |
| |
fprintf(ficlog,"\n#******"); |
| |
for(j=1;j<=cptcoveff;j++) { |
| |
fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); |
| |
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); |
| |
fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); |
| |
} |
| |
fprintf(ficrespl,"******\n"); |
| |
printf("******\n"); |
| |
fprintf(ficlog,"******\n"); |
| |
|
| |
for (age=agebase; age<=agelim; age++){ |
| |
prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k); |
| |
fprintf(ficrespl,"%.0f ",age ); |
| |
for(j=1;j<=cptcoveff;j++) |
| |
fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); |
| |
for(i=1; i<=nlstate;i++) |
| |
fprintf(ficrespl," %.5f", prlim[i][i]); |
| |
fprintf(ficrespl,"\n"); |
| |
} |
| |
} |
| |
} |
| |
fclose(ficrespl); |
| |
|
| |
/*------------- h Pij x at various ages ------------*/ |
| |
|
| |
strcpy(filerespij,"pij"); strcat(filerespij,fileres); |
| |
if((ficrespij=fopen(filerespij,"w"))==NULL) { |
| |
printf("Problem with Pij resultfile: %s\n", filerespij);goto end; |
| |
fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij);goto end; |
| |
} |
| |
printf("Computing pij: result on file '%s' \n", filerespij); |
| |
fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij); |
| |
|
| |
stepsize=(int) (stepm+YEARM-1)/YEARM; |
| |
/*if (stepm<=24) stepsize=2;*/ |
| |
|
| |
agelim=AGESUP; |
| |
hstepm=stepsize*YEARM; /* Every year of age */ |
| |
hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */ |
| |
|
| |
/* hstepm=1; aff par mois*/ |
| |
|
| |
fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x "); |
| |
for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
| |
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ |
| |
k=k+1; |
| |
fprintf(ficrespij,"\n#****** "); |
| |
for(j=1;j<=cptcoveff;j++) |
| |
fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); |
| |
fprintf(ficrespij,"******\n"); |
| |
|
| |
for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */ |
| |
nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ |
| |
nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */ |
| |
|
| |
/* nhstepm=nhstepm*YEARM; aff par mois*/ |
| |
|
| |
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
oldm=oldms;savm=savms; |
| |
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); |
| |
fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j="); |
| |
for(i=1; i<=nlstate;i++) |
| |
for(j=1; j<=nlstate+ndeath;j++) |
| |
fprintf(ficrespij," %1d-%1d",i,j); |
| |
fprintf(ficrespij,"\n"); |
| |
for (h=0; h<=nhstepm; h++){ |
| |
fprintf(ficrespij,"%d %3.f %3.f",k,agedeb, agedeb+ h*hstepm/YEARM*stepm ); |
| |
for(i=1; i<=nlstate;i++) |
| |
for(j=1; j<=nlstate+ndeath;j++) |
| |
fprintf(ficrespij," %.5f", p3mat[i][j][h]); |
| |
fprintf(ficrespij,"\n"); |
| |
} |
| |
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
fprintf(ficrespij,"\n"); |
| |
} |
| |
} |
| |
} |
| |
|
| |
varprob(optionfilefiname, matcov, p, delti, nlstate, (int) bage, (int) fage,k,Tvar,nbcode, ncodemax); |
| |
|
| |
fclose(ficrespij); |
| |
|
| |
|
| |
/*---------- Forecasting ------------------*/ |
| |
/*if((stepm == 1) && (strcmp(model,".")==0)){*/ |
| |
if(prevfcast==1){ |
| |
if(stepm ==1){ |
| |
prevforecast(fileres, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff); |
| |
if (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1); |
| |
} |
| |
else{ |
| |
erreur=108; |
| |
printf("Warning %d!! You can only forecast the prevalences if the optimization\n has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); |
| |
fprintf(ficlog,"Warning %d!! You can only forecast the prevalences if the optimization\n has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); |
| |
} |
| |
} |
| |
|
| |
|
| |
/*---------- Health expectancies and variances ------------*/ |
| |
|
| |
strcpy(filerest,"t"); |
| |
strcat(filerest,fileres); |
| |
if((ficrest=fopen(filerest,"w"))==NULL) { |
| |
printf("Problem with total LE resultfile: %s\n", filerest);goto end; |
| |
fprintf(ficlog,"Problem with total LE resultfile: %s\n", filerest);goto end; |
| |
} |
| |
printf("Computing Total LEs with variances: file '%s' \n", filerest); |
| |
fprintf(ficlog,"Computing Total LEs with variances: file '%s' \n", filerest); |
| |
|
| |
|
| |
strcpy(filerese,"e"); |
| |
strcat(filerese,fileres); |
| |
if((ficreseij=fopen(filerese,"w"))==NULL) { |
| |
printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0); |
| |
fprintf(ficlog,"Problem with Health Exp. resultfile: %s\n", filerese); exit(0); |
| |
} |
| |
printf("Computing Health Expectancies: result on file '%s' \n", filerese); |
| |
fprintf(ficlog,"Computing Health Expectancies: result on file '%s' \n", filerese); |
| |
|
| |
strcpy(fileresv,"v"); |
| |
strcat(fileresv,fileres); |
| |
if((ficresvij=fopen(fileresv,"w"))==NULL) { |
| |
printf("Problem with variance resultfile: %s\n", fileresv);exit(0); |
| |
fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0); |
| |
} |
| |
printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv); |
| |
fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv); |
| |
|
| |
prevalence(ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); |
| |
|
| |
if (mobilav!=0) { |
| |
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
| |
if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){ |
| |
fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); |
| |
printf(" Error in movingaverage mobilav=%d\n",mobilav); |
| |
} |
| |
} |
| |
|
| |
for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
| |
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ |
| |
k=k+1; |
| |
fprintf(ficrest,"\n#****** "); |
| |
for(j=1;j<=cptcoveff;j++) |
| |
fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); |
| |
fprintf(ficrest,"******\n"); |
| |
|
| |
fprintf(ficreseij,"\n#****** "); |
| |
for(j=1;j<=cptcoveff;j++) |
| |
fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); |
| |
fprintf(ficreseij,"******\n"); |
| |
|
| |
fprintf(ficresvij,"\n#****** "); |
| |
for(j=1;j<=cptcoveff;j++) |
| |
fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); |
| |
fprintf(ficresvij,"******\n"); |
| |
|
| |
eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); |
| |
oldm=oldms;savm=savms; |
| |
evsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov); |
| |
|
| |
vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); |
| |
oldm=oldms;savm=savms; |
| |
varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,0, mobilav); |
| |
if(popbased==1){ |
| |
varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,popbased,mobilav); |
| |
} |
| |
|
| |
|
| |
fprintf(ficrest,"#Total LEs with variances: e.. (std) "); |
| |
for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i); |
| |
fprintf(ficrest,"\n"); |
| |
|
| |
epj=vector(1,nlstate+1); |
| |
for(age=bage; age <=fage ;age++){ |
| |
prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k); |
| |
if (popbased==1) { |
| |
if(mobilav ==0){ |
| |
for(i=1; i<=nlstate;i++) |
| |
prlim[i][i]=probs[(int)age][i][k]; |
| |
}else{ /* mobilav */ |
| |
for(i=1; i<=nlstate;i++) |
| |
prlim[i][i]=mobaverage[(int)age][i][k]; |
| |
} |
| |
} |
| |
|
| |
fprintf(ficrest," %4.0f",age); |
| |
for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){ |
| |
for(i=1, epj[j]=0.;i <=nlstate;i++) { |
| |
epj[j] += prlim[i][i]*eij[i][j][(int)age]; |
| |
/* printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]);*/ |
| |
} |
| |
epj[nlstate+1] +=epj[j]; |
| |
} |
| |
|
| |
for(i=1, vepp=0.;i <=nlstate;i++) |
| |
for(j=1;j <=nlstate;j++) |
| |
vepp += vareij[i][j][(int)age]; |
| |
fprintf(ficrest," %7.3f (%7.3f)", epj[nlstate+1],sqrt(vepp)); |
| |
for(j=1;j <=nlstate;j++){ |
| |
fprintf(ficrest," %7.3f (%7.3f)", epj[j],sqrt(vareij[j][j][(int)age])); |
| |
} |
| |
fprintf(ficrest,"\n"); |
| |
} |
| |
free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); |
| |
free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage); |
| |
free_vector(epj,1,nlstate+1); |
| |
} |
| |
} |
| |
free_vector(weight,1,n); |
| |
free_imatrix(Tvard,1,15,1,2); |
| |
free_imatrix(s,1,maxwav+1,1,n); |
| |
free_matrix(anint,1,maxwav,1,n); |
| |
free_matrix(mint,1,maxwav,1,n); |
| |
free_ivector(cod,1,n); |
| |
free_ivector(tab,1,NCOVMAX); |
| |
fclose(ficreseij); |
| |
fclose(ficresvij); |
| |
fclose(ficrest); |
| |
fclose(ficpar); |
| |
|
| |
/*------- Variance of stable prevalence------*/ |
| |
|
| |
strcpy(fileresvpl,"vpl"); |
| |
strcat(fileresvpl,fileres); |
| |
if((ficresvpl=fopen(fileresvpl,"w"))==NULL) { |
| |
printf("Problem with variance of stable prevalence resultfile: %s\n", fileresvpl); |
| |
exit(0); |
| |
} |
| |
printf("Computing Variance-covariance of stable prevalence: file '%s' \n", fileresvpl); |
| |
|
| |
for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
| |
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ |
| |
k=k+1; |
| |
fprintf(ficresvpl,"\n#****** "); |
| |
for(j=1;j<=cptcoveff;j++) |
| |
fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); |
| |
fprintf(ficresvpl,"******\n"); |
| |
|
| |
varpl=matrix(1,nlstate,(int) bage, (int) fage); |
| |
oldm=oldms;savm=savms; |
| |
varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k); |
| |
free_matrix(varpl,1,nlstate,(int) bage, (int)fage); |
| |
} |
| |
} |
| |
|
| |
fclose(ficresvpl); |
| |
|
| |
/*---------- End : free ----------------*/ |
| |
free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath); |
| |
free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath); |
| |
free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath); |
| |
free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath); |
| |
|
| |
free_matrix(covar,0,NCOVMAX,1,n); |
| |
free_matrix(matcov,1,npar,1,npar); |
| |
free_vector(delti,1,npar); |
| |
free_matrix(agev,1,maxwav,1,imx); |
| |
free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); |
| |
if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
| |
free_ivector(ncodemax,1,8); |
| |
free_ivector(Tvar,1,15); |
| |
free_ivector(Tprod,1,15); |
| |
free_ivector(Tvaraff,1,15); |
| |
free_ivector(Tage,1,15); |
| |
free_ivector(Tcode,1,100); |
| |
|
| |
fprintf(fichtm,"\n</body>"); |
| |
fclose(fichtm); |
| |
fclose(ficgp); |
| |
|
| |
|
| |
if(erreur >0){ |
| |
printf("End of Imach with error or warning %d\n",erreur); |
| |
fprintf(ficlog,"End of Imach with error or warning %d\n",erreur); |
| |
}else{ |
| |
printf("End of Imach\n"); |
| |
fprintf(ficlog,"End of Imach\n"); |
| |
} |
| |
printf("See log file on %s\n",filelog); |
| |
fclose(ficlog); |
| |
/* gettimeofday(&end_time, (struct timezone*)0);*/ /* after time */ |
| |
|
| |
/* printf("Total time was %d Sec. %d uSec.\n", end_time.tv_sec -start_time.tv_sec, end_time.tv_usec -start_time.tv_usec);*/ |
| |
/*printf("Total time was %d uSec.\n", total_usecs);*/ |
| |
/*------ End -----------*/ |
| |
|
| |
end: |
| |
#ifdef windows |
| |
/* chdir(pathcd);*/ |
| |
#endif |
| |
/*system("wgnuplot graph.plt");*/ |
| |
/*system("../gp37mgw/wgnuplot graph.plt");*/ |
| |
/*system("cd ../gp37mgw");*/ |
| |
/* system("..\\gp37mgw\\wgnuplot graph.plt");*/ |
| |
strcpy(plotcmd,GNUPLOTPROGRAM); |
| |
strcat(plotcmd," "); |
| |
strcat(plotcmd,optionfilegnuplot); |
| |
printf("Starting: %s\n",plotcmd);fflush(stdout); |
| |
system(plotcmd); |
| |
|
| |
/*#ifdef windows*/ |
| |
while (z[0] != 'q') { |
| |
/* chdir(path); */ |
| |
printf("\nType e to edit output files, g to graph again, c to start again, and q for exiting: "); |
| |
scanf("%s",z); |
| |
if (z[0] == 'c') system("./imach"); |
| |
else if (z[0] == 'e') system(optionfilehtm); |
| |
else if (z[0] == 'g') system(plotcmd); |
| |
else if (z[0] == 'q') exit(0); |
| |
} |
| |
/*#endif */ |
| |
} |
| |
|
| |
|
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