--- imach/src/imach.c 2006/01/05 20:23:19 1.105
+++ imach/src/imach.c 2009/10/29 13:18:53 1.134
@@ -1,6 +1,144 @@
-/* $Id: imach.c,v 1.105 2006/01/05 20:23:19 lievre Exp $
+/* $Id: imach.c,v 1.134 2009/10/29 13:18:53 brouard Exp $
$State: Exp $
$Log: imach.c,v $
+ Revision 1.134 2009/10/29 13:18:53 brouard
+ (Module): Now imach stops if date of birth, at least year of birth, is not given. Some cleaning of the code.
+
+ Revision 1.133 2009/07/06 10:21:25 brouard
+ just nforces
+
+ Revision 1.132 2009/07/06 08:22:05 brouard
+ Many tings
+
+ Revision 1.131 2009/06/20 16:22:47 brouard
+ Some dimensions resccaled
+
+ Revision 1.130 2009/05/26 06:44:34 brouard
+ (Module): Max Covariate is now set to 20 instead of 8. A
+ lot of cleaning with variables initialized to 0. Trying to make
+ V2+V3*age+V1+V4 strb=V3*age+V1+V4 working better.
+
+ Revision 1.129 2007/08/31 13:49:27 lievre
+ Modification of the way of exiting when the covariate is not binary in order to see on the window the error message before exiting
+
+ Revision 1.128 2006/06/30 13:02:05 brouard
+ (Module): Clarifications on computing e.j
+
+ Revision 1.127 2006/04/28 18:11:50 brouard
+ (Module): Yes the sum of survivors was wrong since
+ imach-114 because nhstepm was no more computed in the age
+ loop. Now we define nhstepma in the age loop.
+ (Module): In order to speed up (in case of numerous covariates) we
+ compute health expectancies (without variances) in a first step
+ and then all the health expectancies with variances or standard
+ deviation (needs data from the Hessian matrices) which slows the
+ computation.
+ In the future we should be able to stop the program is only health
+ expectancies and graph are needed without standard deviations.
+
+ Revision 1.126 2006/04/28 17:23:28 brouard
+ (Module): Yes the sum of survivors was wrong since
+ imach-114 because nhstepm was no more computed in the age
+ loop. Now we define nhstepma in the age loop.
+ Version 0.98h
+
+ Revision 1.125 2006/04/04 15:20:31 lievre
+ Errors in calculation of health expectancies. Age was not initialized.
+ Forecasting file added.
+
+ Revision 1.124 2006/03/22 17:13:53 lievre
+ Parameters are printed with %lf instead of %f (more numbers after the comma).
+ The log-likelihood is printed in the log file
+
+ Revision 1.123 2006/03/20 10:52:43 brouard
+ * imach.c (Module):
changed, corresponds to .htm file
+ name. headers where missing.
+
+ * imach.c (Module): Weights can have a decimal point as for
+ English (a comma might work with a correct LC_NUMERIC environment,
+ otherwise the weight is truncated).
+ Modification of warning when the covariates values are not 0 or
+ 1.
+ Version 0.98g
+
+ Revision 1.122 2006/03/20 09:45:41 brouard
+ (Module): Weights can have a decimal point as for
+ English (a comma might work with a correct LC_NUMERIC environment,
+ otherwise the weight is truncated).
+ Modification of warning when the covariates values are not 0 or
+ 1.
+ Version 0.98g
+
+ Revision 1.121 2006/03/16 17:45:01 lievre
+ * imach.c (Module): Comments concerning covariates added
+
+ * imach.c (Module): refinements in the computation of lli if
+ status=-2 in order to have more reliable computation if stepm is
+ not 1 month. Version 0.98f
+
+ Revision 1.120 2006/03/16 15:10:38 lievre
+ (Module): refinements in the computation of lli if
+ status=-2 in order to have more reliable computation if stepm is
+ not 1 month. Version 0.98f
+
+ Revision 1.119 2006/03/15 17:42:26 brouard
+ (Module): Bug if status = -2, the loglikelihood was
+ computed as likelihood omitting the logarithm. Version O.98e
+
+ Revision 1.118 2006/03/14 18:20:07 brouard
+ (Module): varevsij Comments added explaining the second
+ table of variances if popbased=1 .
+ (Module): Covariances of eij, ekl added, graphs fixed, new html link.
+ (Module): Function pstamp added
+ (Module): Version 0.98d
+
+ Revision 1.117 2006/03/14 17:16:22 brouard
+ (Module): varevsij Comments added explaining the second
+ table of variances if popbased=1 .
+ (Module): Covariances of eij, ekl added, graphs fixed, new html link.
+ (Module): Function pstamp added
+ (Module): Version 0.98d
+
+ Revision 1.116 2006/03/06 10:29:27 brouard
+ (Module): Variance-covariance wrong links and
+ varian-covariance of ej. is needed (Saito).
+
+ Revision 1.115 2006/02/27 12:17:45 brouard
+ (Module): One freematrix added in mlikeli! 0.98c
+
+ Revision 1.114 2006/02/26 12:57:58 brouard
+ (Module): Some improvements in processing parameter
+ filename with strsep.
+
+ Revision 1.113 2006/02/24 14:20:24 brouard
+ (Module): Memory leaks checks with valgrind and:
+ datafile was not closed, some imatrix were not freed and on matrix
+ allocation too.
+
+ Revision 1.112 2006/01/30 09:55:26 brouard
+ (Module): Back to gnuplot.exe instead of wgnuplot.exe
+
+ Revision 1.111 2006/01/25 20:38:18 brouard
+ (Module): Lots of cleaning and bugs added (Gompertz)
+ (Module): Comments can be added in data file. Missing date values
+ can be a simple dot '.'.
+
+ Revision 1.110 2006/01/25 00:51:50 brouard
+ (Module): Lots of cleaning and bugs added (Gompertz)
+
+ Revision 1.109 2006/01/24 19:37:15 brouard
+ (Module): Comments (lines starting with a #) are allowed in data.
+
+ Revision 1.108 2006/01/19 18:05:42 lievre
+ Gnuplot problem appeared...
+ To be fixed
+
+ Revision 1.107 2006/01/19 16:20:37 brouard
+ Test existence of gnuplot in imach path
+
+ Revision 1.106 2006/01/19 13:24:36 brouard
+ Some cleaning and links added in html output
+
Revision 1.105 2006/01/05 20:23:19 lievre
*** empty log message ***
@@ -39,7 +177,7 @@
The same imach parameter file can be used but the option for mle should be -3.
- Agnès, who wrote this part of the code, tried to keep most of the
+ Agnès, who wrote this part of the code, tried to keep most of the
former routines in order to include the new code within the former code.
The output is very simple: only an estimate of the intercept and of
@@ -170,10 +308,10 @@
hPijx.
Also this programme outputs the covariance matrix of the parameters but also
- of the life expectancies. It also computes the stable prevalence.
+ of the life expectancies. It also computes the period (stable) prevalence.
- Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr).
- Institut national d'études démographiques, Paris.
+ Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr).
+ Institut national d'études démographiques, Paris.
This software have been partly granted by Euro-REVES, a concerted action
from the European Union.
It is copyrighted identically to a GNU software product, ie programme and
@@ -199,7 +337,7 @@
begin-prev-date,...
open gnuplot file
open html file
- stable prevalence
+ period (stable) prevalence
for age prevalim()
h Pij x
variance of p varprob
@@ -211,7 +349,7 @@
varevsij()
if popbased==1 varevsij(,popbased)
total life expectancies
- Variance of stable prevalence
+ Variance of period (stable) prevalence
end
*/
@@ -221,8 +359,15 @@
#include
#include
#include
+#include
#include
+#include
+#include
+#include
+#include
+extern int errno;
+
/* #include */
#include
#include "timeval.h"
@@ -231,21 +376,21 @@
/* #define _(String) gettext (String) */
#define MAXLINE 256
+
#define GNUPLOTPROGRAM "gnuplot"
/*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/
#define FILENAMELENGTH 132
-/*#define DEBUG*/
-/*#define windows*/
+
#define GLOCK_ERROR_NOPATH -1 /* empty path */
#define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */
-#define MAXPARM 30 /* Maximum number of parameters for the optimization */
+#define MAXPARM 128 /* Maximum number of parameters for the optimization */
#define NPARMAX 64 /* (nlstate+ndeath-1)*nlstate*ncovmodel */
#define NINTERVMAX 8
#define NLSTATEMAX 8 /* Maximum number of live states (for func) */
#define NDEATHMAX 8 /* Maximum number of dead states (for func) */
-#define NCOVMAX 8 /* Maximum number of covariates */
+#define NCOVMAX 20 /* Maximum number of covariates */
#define MAXN 20000
#define YEARM 12. /* Number of months per year */
#define AGESUP 130
@@ -253,44 +398,49 @@
#define AGEGOMP 10. /* Minimal age for Gompertz adjustment */
#ifdef UNIX
#define DIRSEPARATOR '/'
+#define CHARSEPARATOR "/"
#define ODIRSEPARATOR '\\'
#else
#define DIRSEPARATOR '\\'
+#define CHARSEPARATOR "\\"
#define ODIRSEPARATOR '/'
#endif
-/* $Id: imach.c,v 1.105 2006/01/05 20:23:19 lievre Exp $ */
+/* $Id: imach.c,v 1.134 2009/10/29 13:18:53 brouard Exp $ */
/* $State: Exp $ */
-char version[]="Imach version 0.98, September 2005, INED-EUROREVES ";
-char fullversion[]="$Revision: 1.105 $ $Date: 2006/01/05 20:23:19 $";
-int erreur, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */
-int nvar;
-int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov;
+char version[]="Imach version 0.98l, October 2009, INED-EUROREVES-Institut de longevite ";
+char fullversion[]="$Revision: 1.134 $ $Date: 2009/10/29 13:18:53 $";
+char strstart[80];
+char optionfilext[10], optionfilefiname[FILENAMELENGTH];
+int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */
+int nvar=0, nforce=0; /* Number of variables, number of forces */
+int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov=0; /* Number of covariates, of covariates with '*age' */
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 ncovmodel=0, ncovcol=0; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */
int popbased=0;
int *wav; /* Number of waves for this individuual 0 is possible */
-int maxwav; /* Maxim number of waves */
-int jmin, jmax; /* min, max spacing between 2 waves */
-int gipmx, gsw; /* Global variables on the number of contributions
+int maxwav=0; /* Maxim number of waves */
+int jmin=0, jmax=0; /* min, max spacing between 2 waves */
+int ijmin=0, ijmax=0; /* Individuals having jmin and jmax */
+int gipmx=0, gsw=0; /* Global variables on the number of contributions
to the likelihood and the sum of weights (done by funcone)*/
-int mle, weightopt;
+int mle=1, weightopt=0;
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 */
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. */
-double jmean; /* Mean space between 2 waves */
+double jmean=1; /* Mean space between 2 waves */
double **oldm, **newm, **savm; /* Working pointers to matrices */
double **oldms, **newms, **savms; /* Fixed working pointers to matrices */
-FILE *fic,*ficpar, *ficparo,*ficres, *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop;
+FILE *fic,*ficpar, *ficparo,*ficres, *ficresp, *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop;
FILE *ficlog, *ficrespow;
-int globpr; /* Global variable for printing or not */
+int globpr=0; /* Global variable for printing or not */
double fretone; /* Only one call to likelihood */
-long ipmx; /* Number of contributions */
+long ipmx=0; /* Number of contributions */
double sw; /* Sum of weights */
char filerespow[FILENAMELENGTH];
char fileresilk[FILENAMELENGTH]; /* File of individual contributions to the likelihood */
@@ -300,13 +450,17 @@ FILE *ficresprobmorprev;
FILE *fichtm, *fichtmcov; /* Html File */
FILE *ficreseij;
char filerese[FILENAMELENGTH];
+FILE *ficresstdeij;
+char fileresstde[FILENAMELENGTH];
+FILE *ficrescveij;
+char filerescve[FILENAMELENGTH];
FILE *ficresvij;
char fileresv[FILENAMELENGTH];
FILE *ficresvpl;
char fileresvpl[FILENAMELENGTH];
char title[MAXLINE];
char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH], filerespl[FILENAMELENGTH];
-char optionfilext[10], optionfilefiname[FILENAMELENGTH], plotcmd[FILENAMELENGTH];
+char plotcmd[FILENAMELENGTH], pplotcmd[FILENAMELENGTH];
char tmpout[FILENAMELENGTH], tmpout2[FILENAMELENGTH];
char command[FILENAMELENGTH];
int outcmd=0;
@@ -328,6 +482,10 @@ long time_value;
extern long time();
char strcurr[80], strfor[80];
+char *endptr;
+long lval;
+double dval;
+
#define NR_END 1
#define FREE_ARG char*
#define FTOL 1.0e-10
@@ -375,7 +533,7 @@ double dateintmean=0;
double *weight;
int **s; /* Status */
double *agedc, **covar, idx;
-int **nbcode, *Tcode, *Tvar, **codtab, **Tvard, *Tprod, cptcovprod, *Tvaraff;
+int **nbcode, *Tvar, **codtab, **Tvard, *Tprod, cptcovprod, *Tvaraff;
double *lsurv, *lpop, *tpop;
double ftol=FTOL; /* Tolerance for computing Max Likelihood */
@@ -384,7 +542,7 @@ double ftolhess; /* Tolerance for comput
/**************** split *************************/
static int split( char *path, char *dirc, char *name, char *ext, char *finame )
{
- /* From a file name with full path (either Unix or Windows) we extract the directory (dirc)
+ /* From a file name with (full) path (either Unix or Windows) we extract the directory (dirc)
the name of the file (name), its extension only (ext) and its first part of the name (finame)
*/
char *ss; /* pointer */
@@ -393,7 +551,8 @@ static int split( char *path, char *dirc
l1 = strlen(path ); /* length of path */
if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );
ss= strrchr( path, DIRSEPARATOR ); /* find last / */
- if ( ss == NULL ) { /* no directory, so use current */
+ if ( ss == NULL ) { /* no directory, so determine current directory */
+ strcpy( name, path ); /* we got the fullname name because no directory */
/*if(strrchr(path, ODIRSEPARATOR )==NULL)
printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/
/* get current working directory */
@@ -401,7 +560,8 @@ static int split( char *path, char *dirc
if ( getcwd( dirc, FILENAME_MAX ) == NULL ) {
return( GLOCK_ERROR_GETCWD );
}
- strcpy( name, path ); /* we've got it */
+ /* got dirc from getcwd*/
+ printf(" DIRC = %s \n",dirc);
} else { /* strip direcotry from path */
ss++; /* after this, the filename */
l2 = strlen( ss ); /* length of filename */
@@ -409,14 +569,15 @@ static int split( char *path, char *dirc
strcpy( name, ss ); /* save file name */
strncpy( dirc, path, l1 - l2 ); /* now the directory */
dirc[l1-l2] = 0; /* add zero */
+ printf(" DIRC2 = %s \n",dirc);
}
+ /* We add a separator at the end of dirc if not exists */
l1 = strlen( dirc ); /* length of directory */
- /*#ifdef windows
- if ( dirc[l1-1] != '\\' ) { dirc[l1] = '\\'; dirc[l1+1] = 0; }
-#else
- if ( dirc[l1-1] != '/' ) { dirc[l1] = '/'; dirc[l1+1] = 0; }
-#endif
- */
+ if( dirc[l1-1] != DIRSEPARATOR ){
+ dirc[l1] = DIRSEPARATOR;
+ dirc[l1+1] = 0;
+ printf(" DIRC3 = %s \n",dirc);
+ }
ss = strrchr( name, '.' ); /* find last / */
if (ss >0){
ss++;
@@ -426,6 +587,7 @@ static int split( char *path, char *dirc
strncpy( finame, name, l1-l2);
finame[l1-l2]= 0;
}
+
return( 0 ); /* we're done */
}
@@ -444,6 +606,20 @@ void replace_back_to_slash(char *s, char
}
}
+char *trimbb(char *out, char *in)
+{ /* Trim multiple blanks in line */
+ char *s;
+ s=out;
+ while (*in != '\0'){
+ while( *in == ' ' && *(in+1) == ' ' && *(in+1) != '\0'){
+ in++;
+ }
+ *out++ = *in++;
+ }
+ *out='\0';
+ return s;
+}
+
int nbocc(char *s, char occ)
{
int i,j=0;
@@ -888,9 +1064,8 @@ void powell(double p[], double **xi, int
last_time=curr_time;
(void) gettimeofday(&curr_time,&tzp);
printf("\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec);fflush(stdout);
- /* fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec);
- fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tv_sec-start_time.tv_sec);
- */
+ fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec); fflush(ficlog);
+/* fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tv_sec-start_time.tv_sec); */
for (i=1;i<=n;i++) {
printf(" %d %.12f",i, p[i]);
fprintf(ficlog," %d %.12lf",i, p[i]);
@@ -1012,7 +1187,7 @@ void powell(double p[], double **xi, int
}
}
-/**** Prevalence limit (stable prevalence) ****************/
+/**** Prevalence limit (stable or period prevalence) ****************/
double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int ij)
{
@@ -1022,7 +1197,7 @@ double **prevalim(double **prlim, int nl
int i, ii,j,k;
double min, max, maxmin, maxmax,sumnew=0.;
double **matprod2();
- double **out, cov[NCOVMAX], **pmij();
+ double **out, cov[NCOVMAX+1], **pmij();
double **newm;
double agefin, delaymax=50 ; /* Max number of years to converge */
@@ -1104,10 +1279,14 @@ double **pmij(double **ps, double *cov,
for(i=1; i<= nlstate; i++){
s1=0;
- for(j=1; j(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2]));*/ /* linear interpolation */
@@ -1472,7 +1653,7 @@ double funcone( double *x)
{
/* Same as likeli but slower because of a lot of printf and if */
int i, ii, j, k, mi, d, kk;
- double l, ll[NLSTATEMAX], cov[NCOVMAX];
+ double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1];
double **out;
double lli; /* Individual log likelihood */
double llt;
@@ -1516,7 +1697,11 @@ double funcone( double *x)
*/
if( s2 > nlstate && (mle <5) ){ /* Jackson */
lli=log(out[s1][s2] - savm[s1][s2]);
- } else if (mle==1){
+ } else if (s2==-2) {
+ for (j=1,survp=0. ; j<=nlstate; j++)
+ survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j];
+ lli= log(survp);
+ }else if (mle==1){
lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
} else if(mle==2){
lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* linear interpolation */
@@ -1530,10 +1715,10 @@ double funcone( double *x)
ipmx +=1;
sw += weight[i];
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
-/* printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */
+ /*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */
if(globpr){
- fprintf(ficresilk,"%9d %6d %1d %1d %1d %1d %3d %10.6f %6.4f\
- %10.6f %10.6f %10.6f ", \
+ fprintf(ficresilk,"%9d %6d %2d %2d %1d %1d %3d %11.6f %8.4f\
+ %11.6f %11.6f %11.6f ", \
num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],
2*weight[i]*lli,out[s1][s2],savm[s1][s2]);
for(k=1,llt=0.,l=0.; k<=nlstate; k++){
@@ -1618,6 +1803,7 @@ void mlikeli(FILE *ficres,double p[], in
powell(p,xi,npar,ftol,&iter,&fret,func);
+ free_matrix(xi,1,npar,1,npar);
fclose(ficrespow);
printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));
fprintf(ficlog,"\n#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));
@@ -1734,7 +1920,7 @@ double hessii(double x[], double delta,
int i;
int l=1, lmax=20;
double k1,k2;
- double p2[NPARMAX+1];
+ double p2[MAXPARM+1]; /* identical to x */
double res;
double delt=0.0001, delts, nkhi=10.,nkhif=1., khi=1.e-4;
double fx;
@@ -1755,7 +1941,7 @@ double hessii(double x[], double delta,
/*res= (k1-2.0*fx+k2)/delt/delt; */
res= (k1+k2)/delt/delt/2.; /* Divided by because L and not 2*L */
-#ifdef DEBUG
+#ifdef DEBUGHESS
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);
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
@@ -1781,7 +1967,7 @@ double hessij( double x[], double delti[
int i;
int l=1, l1, lmax=20;
double k1,k2,k3,k4,res,fx;
- double p2[NPARMAX+1];
+ double p2[MAXPARM+1];
int k;
fx=func(x);
@@ -1885,16 +2071,20 @@ void lubksb(double **a, int n, int *indx
}
}
+void pstamp(FILE *fichier)
+{
+ fprintf(fichier,"# %s.%s\n#%s\n#%s\n# %s", optionfilefiname,optionfilext,version,fullversion,strstart);
+}
+
/************ Frequencies ********************/
void freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, int *Tvaraff, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[])
{ /* Some frequencies */
- int i, m, jk, k1,i1, j1, bool, z1,z2,j;
+ int i, m, jk, k1,i1, j1, bool, z1,j;
int first;
double ***freq; /* Frequencies */
double *pp, **prop;
double pos,posprop, k2, dateintsum=0,k2cpt=0;
- FILE *ficresp;
char fileresp[FILENAMELENGTH];
pp=vector(1,nlstate);
@@ -1959,7 +2149,7 @@ void freqsummary(char fileres[], int ia
}
/* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
-fprintf(ficresp, "#Local time at start: %s", strstart);
+ pstamp(ficresp);
if (cptcovn>0) {
fprintf(ficresp, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
@@ -1988,7 +2178,7 @@ fprintf(ficresp, "#Local time at start:
pos += freq[jk][m][i];
if(pp[jk]>=1.e-10){
if(first==1){
- printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
+ printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
}
fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
}else{
@@ -2059,7 +2249,7 @@ void prevalence(double ***probs, double
We still use firstpass and lastpass as another selection.
*/
- int i, m, jk, k1, i1, j1, bool, z1,z2,j;
+ int i, m, jk, k1, i1, j1, bool, z1,j;
double ***freq; /* Frequencies */
double *pp, **prop;
double pos,posprop;
@@ -2117,7 +2307,8 @@ void prevalence(double ***probs, double
if( i <= iagemax){
if(posprop>=1.e-5){
probs[i][jk][j1]= prop[jk][i]/posprop;
- }
+ } else
+ printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\n",jk,i,j1,probs[i][jk][j1]);
}
}/* end jk */
}/* end i */
@@ -2172,11 +2363,11 @@ void concatwav(int wav[], int **dh, int
if(mi==0){
nbwarn++;
if(first==0){
- printf("Warning! None valid information for:%ld line=%d (skipped) and may be others, see log file\n",num[i],i);
+ printf("Warning! No valid information for individual %ld line=%d (skipped) and may be others, see log file\n",num[i],i);
first=1;
}
if(first==1){
- fprintf(ficlog,"Warning! None valid information for:%ld line=%d (skipped)\n",num[i],i);
+ fprintf(ficlog,"Warning! No valid information for individual %ld line=%d (skipped)\n",num[i],i);
}
} /* end mi==0 */
} /* End individuals */
@@ -2199,8 +2390,14 @@ void concatwav(int wav[], int **dh, int
fprintf(ficlog," We assumed that the date of interview was correct (and not the date of death) and postponed the death %d month(s) (one stepm) after the interview. You MUST fix the contradiction between dates.\n",stepm);
}
k=k+1;
- if (j >= jmax) jmax=j;
- if (j <= jmin) jmin=j;
+ if (j >= jmax){
+ jmax=j;
+ ijmax=i;
+ }
+ if (j <= jmin){
+ jmin=j;
+ ijmin=i;
+ }
sum=sum+j;
/*if (j<0) printf("j=%d num=%d \n",j,i);*/
/* printf("%d %d %d %d\n", s[mw[mi][i]][i] ,s[mw[mi+1][i]][i],j,i);*/
@@ -2211,8 +2408,14 @@ void concatwav(int wav[], int **dh, int
/* if (j<0) printf("%d %lf %lf %d %d %d\n", i,agev[mw[mi+1][i]][i], agev[mw[mi][i]][i],j,s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]); */
k=k+1;
- if (j >= jmax) jmax=j;
- else if (j <= jmin)jmin=j;
+ if (j >= jmax) {
+ jmax=j;
+ ijmax=i;
+ }
+ else if (j <= jmin){
+ jmin=j;
+ ijmin=i;
+ }
/* if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */
/*printf("%d %lf %d %d %d\n", i,agev[mw[mi][i]][i],j,s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);*/
if(j<0){
@@ -2255,43 +2458,49 @@ void concatwav(int wav[], int **dh, int
} /* end wave */
}
jmean=sum/k;
- printf("Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,jmean);
- fprintf(ficlog,"Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,jmean);
+ printf("Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, num[ijmin], jmax, num[ijmax], jmean);
+ fprintf(ficlog,"Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, ijmin, jmax, ijmax, jmean);
}
/*********** Tricode ****************************/
void tricode(int *Tvar, int **nbcode, int imx)
{
- int Ndum[20],ij=1, k, j, i, maxncov=19;
+ /* Tvar[i]=atoi(stre); /* find 'n' in Vn and stores in Tvar. If model=V2+V1 Tvar[1]=2 and Tvar[2]=1 */
+
+ int Ndum[20],ij=1, k=0, j=0, i=0, maxncov=NCOVMAX;
int cptcode=0;
cptcoveff=0;
for (k=0; k cptcode) cptcode=ij; /* getting the maximum of covariable
+ if (ij > cptcode) cptcode=ij; /* getting the maximum value of the modality of the covariate (should be 0 or 1 now)
Tvar[j]. If V=sex and male is 0 and
female is 1, then cptcode=1.*/
}
- 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 */
- }
+ for (i=0; i<=cptcode; i++) { /* i=-1 ?*/
+ if(Ndum[i]!=0) ncodemax[j]++; /* Nomber of modalities of the j
+ th covariate. In fact
+ ncodemax[j]=2
+ (dichotom. variables only) but
+ it can be more */
+ } /* Ndum[-1] number of undefined modalities */
ij=1;
- for (i=1; i<=ncodemax[j]; i++) {
- for (k=0; k<= maxncov; k++) {
- if (Ndum[k] != 0) {
- nbcode[Tvar[j]][ij]=k;
- /* 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; */
-
+ for (i=1; i<=ncodemax[j]; i++) { /* i= 1 to 2 */
+ for (k=0; k<= maxncov; k++) { /* k=-1 ?*/
+ if (Ndum[k] != 0) { /* If at least one individual responded to this modality k */
+ nbcode[Tvar[j]][ij]=k; /* stores the modality in an array nbcode.
+ 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; */
ij++;
}
if (ij > ncodemax[j]) break;
@@ -2301,9 +2510,9 @@ void tricode(int *Tvar, int **nbcode, in
for (k=0; k< maxncov; k++) Ndum[k]=0;
- for (i=1; i<=ncovmodel-2; i++) {
+ for (i=1; i<=ncovmodel-2; i++) { /* -2, cste and age */
/* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/
- ij=Tvar[i];
+ ij=Tvar[i]; /* Tvar might be -1 if status was unknown */
Ndum[ij]++;
}
@@ -2314,38 +2523,169 @@ void tricode(int *Tvar, int **nbcode, in
ij++;
}
}
-
- cptcoveff=ij-1; /*Number of simple covariates*/
+ ij--;
+ cptcoveff=ij; /*Number of simple covariates*/
}
/*********** 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,char strstart[] )
+void evsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,char strstart[] )
{
- /* Health expectancies */
- int i, j, nhstepm, hstepm, h, nstepm, k, cptj;
+ /* Health expectancies, no variances */
+ int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2;
+ int nhstepma, nstepma; /* Decreasing with age */
double age, agelim, hf;
- double ***p3mat,***varhe;
+ double ***p3mat;
+ double eip;
+
+ pstamp(ficreseij);
+ fprintf(ficreseij,"# (a) Life expectancies by health status at initial age and (b) health expectancies by health status at initial age\n");
+ fprintf(ficreseij,"# Age");
+ for(i=1; i<=nlstate;i++){
+ for(j=1; j<=nlstate;j++){
+ fprintf(ficreseij," e%1d%1d ",i,j);
+ }
+ fprintf(ficreseij," e%1d. ",i);
+ }
+ fprintf(ficreseij,"\n");
+
+
+ if(estepm < stepm){
+ printf ("Problem %d lower than %d\n",estepm, stepm);
+ }
+ else hstepm=estepm;
+ /* We compute the life expectancy from trapezoids spaced every estepm months
+ * 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
+ * we are calculating an estimate of the Life Expectancy assuming a linear
+ * progression in between and thus overestimating or underestimating according
+ * 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
+ * to compare the new estimate of Life expectancy with the same linear
+ * hypothesis. A more precise result, taking into account a more precise
+ * curvature will be obtained if estepm is as small as stepm. */
+
+ /* 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.
+ nhstepm is the number of hstepm from age to agelim
+ nstepm is the number of stepm from age to agelin.
+ Look at hpijx to understand the reason of that which relies in memory size
+ 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
+ you sum them up and add 1 year (area under the trapezoids) you won't get the same
+ results. So we changed our mind and took the option of the best precision.
+ */
+ hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */
+
+ agelim=AGESUP;
+ /* If stepm=6 months */
+ /* Computed by stepm unit matrices, product of hstepm matrices, stored
+ in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */
+
+/* nhstepm age range expressed in number of stepm */
+ nstepm=(int) rint((agelim-bage)*YEARM/stepm); /* Biggest nstepm */
+ /* Typically if 20 years nstepm = 20*12/6=40 stepm */
+ /* if (stepm >= YEARM) hstepm=1;*/
+ nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
+ p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+
+ for (age=bage; age<=fage; age ++){
+ nstepma=(int) rint((agelim-bage)*YEARM/stepm); /* Biggest nstepm */
+ /* Typically if 20 years nstepm = 20*12/6=40 stepm */
+ /* if (stepm >= YEARM) hstepm=1;*/
+ nhstepma = nstepma/hstepm;/* Expressed in hstepm, typically nhstepma=40/4=10 */
+
+ /* If stepm=6 months */
+ /* Computed by stepm unit matrices, product of hstepma matrices, stored
+ in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */
+
+ hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij);
+
+ hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */
+
+ printf("%d|",(int)age);fflush(stdout);
+ fprintf(ficlog,"%d|",(int)age);fflush(ficlog);
+
+ /* Computing expectancies */
+ for(i=1; i<=nlstate;i++)
+ for(j=1; j<=nlstate;j++)
+ for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){
+ eij[i][j][(int)age] += (p3mat[i][j][h]+p3mat[i][j][h+1])/2.0*hf;
+
+ /* 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]);*/
+
+ }
+
+ fprintf(ficreseij,"%3.0f",age );
+ for(i=1; i<=nlstate;i++){
+ eip=0;
+ for(j=1; j<=nlstate;j++){
+ eip +=eij[i][j][(int)age];
+ fprintf(ficreseij,"%9.4f", eij[i][j][(int)age] );
+ }
+ fprintf(ficreseij,"%9.4f", eip );
+ }
+ fprintf(ficreseij,"\n");
+
+ }
+ free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+ printf("\n");
+ fprintf(ficlog,"\n");
+
+}
+
+void cvevsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,double delti[],double **matcov,char strstart[] )
+
+{
+ /* Covariances of health expectancies eij and of total life expectancies according
+ to initial status i, ei. .
+ */
+ int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2, ij, ji;
+ int nhstepma, nstepma; /* Decreasing with age */
+ double age, agelim, hf;
+ double ***p3matp, ***p3matm, ***varhe;
double **dnewm,**doldm;
- double *xp;
+ double *xp, *xm;
double **gp, **gm;
double ***gradg, ***trgradg;
int theta;
+ double eip, vip;
+
varhe=ma3x(1,nlstate*nlstate,1,nlstate*nlstate,(int) bage, (int) fage);
xp=vector(1,npar);
+ xm=vector(1,npar);
dnewm=matrix(1,nlstate*nlstate,1,npar);
doldm=matrix(1,nlstate*nlstate,1,nlstate*nlstate);
- fprintf(ficreseij,"# Local time at start: %s", strstart);
- fprintf(ficreseij,"# Health expectancies\n");
- fprintf(ficreseij,"# Age");
- for(i=1; i<=nlstate;i++)
+ pstamp(ficresstdeij);
+ fprintf(ficresstdeij,"# Health expectancies with standard errors\n");
+ fprintf(ficresstdeij,"# Age");
+ for(i=1; i<=nlstate;i++){
for(j=1; j<=nlstate;j++)
- fprintf(ficreseij," %1d-%1d (SE)",i,j);
- fprintf(ficreseij,"\n");
+ fprintf(ficresstdeij," e%1d%1d (SE)",i,j);
+ fprintf(ficresstdeij," e%1d. ",i);
+ }
+ fprintf(ficresstdeij,"\n");
+ pstamp(ficrescveij);
+ fprintf(ficrescveij,"# Subdiagonal matrix of covariances of health expectancies by age: cov(eij,ekl)\n");
+ fprintf(ficrescveij,"# Age");
+ for(i=1; i<=nlstate;i++)
+ for(j=1; j<=nlstate;j++){
+ cptj= (j-1)*nlstate+i;
+ for(i2=1; i2<=nlstate;i2++)
+ for(j2=1; j2<=nlstate;j2++){
+ cptj2= (j2-1)*nlstate+i2;
+ if(cptj2 <= cptj)
+ fprintf(ficrescveij," %1d%1d,%1d%1d",i,j,i2,j2);
+ }
+ }
+ fprintf(ficrescveij,"\n");
+
if(estepm < stepm){
printf ("Problem %d lower than %d\n",estepm, stepm);
}
@@ -2375,77 +2715,69 @@ void evsij(char fileres[], double ***eij
*/
hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */
+ /* If stepm=6 months */
+ /* nhstepm age range expressed in number of stepm */
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);
+ nstepm=(int) rint((agelim-bage)*YEARM/stepm);
+ /* Typically if 20 years nstepm = 20*12/6=40 stepm */
+ /* if (stepm >= YEARM) hstepm=1;*/
+ nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
+
+ p3matp=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+ p3matm=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+ gradg=ma3x(0,nhstepm,1,npar,1,nlstate*nlstate);
+ trgradg =ma3x(0,nhstepm,1,nlstate*nlstate,1,npar);
+ gp=matrix(0,nhstepm,1,nlstate*nlstate);
+ gm=matrix(0,nhstepm,1,nlstate*nlstate);
+
+ for (age=bage; age<=fage; age ++){
+ nstepma=(int) rint((agelim-bage)*YEARM/stepm); /* Biggest nstepm */
/* Typically if 20 years nstepm = 20*12/6=40 stepm */
/* if (stepm >= YEARM) hstepm=1;*/
- nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
- p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
- gradg=ma3x(0,nhstepm,1,npar,1,nlstate*nlstate);
- gp=matrix(0,nhstepm,1,nlstate*nlstate);
- gm=matrix(0,nhstepm,1,nlstate*nlstate);
-
- /* Computed by stepm unit matrices, product of hstepm matrices, stored
- in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */
- hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, ij);
-
+ nhstepma = nstepma/hstepm;/* Expressed in hstepm, typically nhstepma=40/4=10 */
+ /* If stepm=6 months */
+ /* Computed by stepm unit matrices, product of hstepma matrices, stored
+ in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */
+
hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */
/* Computing Variances of health expectancies */
-
- for(theta=1; theta <=npar; theta++){
+ /* Gradient is computed with plus gp and minus gm. Code is duplicated in order to
+ decrease memory allocation */
+ for(theta=1; theta <=npar; theta++){
for(i=1; i<=npar; i++){
xp[i] = x[i] + (i==theta ?delti[theta]:0);
+ xm[i] = x[i] - (i==theta ?delti[theta]:0);
}
- hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
+ hpxij(p3matp,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, cij);
+ hpxij(p3matm,nhstepm,age,hstepm,xm,nlstate,stepm,oldm,savm, cij);
- cptj=0;
for(j=1; j<= nlstate; j++){
for(i=1; i<=nlstate; i++){
- cptj=cptj+1;
- 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(h=0; h<=nhstepm-1; h++){
+ gp[h][(j-1)*nlstate + i] = (p3matp[i][j][h]+p3matp[i][j][h+1])/2.;
+ gm[h][(j-1)*nlstate + i] = (p3matm[i][j][h]+p3matm[i][j][h+1])/2.;
}
}
}
-
- 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<=nlstate;i++){
- cptj=cptj+1;
- for(h=0, gm[h][cptj]=0.; h<=nhstepm-1; h++){
-
- gm[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.;
- }
- }
- }
- for(j=1; j<= nlstate*nlstate; j++)
+ for(ij=1; ij<= nlstate*nlstate; ij++)
for(h=0; h<=nhstepm-1; h++){
- gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
+ gradg[h][theta][ij]= (gp[h][ij]-gm[h][ij])/2./delti[theta];
}
- }
-
-/* End theta */
-
- trgradg =ma3x(0,nhstepm,1,nlstate*nlstate,1,npar);
-
- for(h=0; h<=nhstepm-1; h++)
+ }/* End theta */
+
+
+ for(h=0; h<=nhstepm-1; h++)
for(j=1; j<=nlstate*nlstate;j++)
for(theta=1; theta <=npar; theta++)
trgradg[h][j][theta]=gradg[h][theta][j];
-
+
- for(i=1;i<=nlstate*nlstate;i++)
- for(j=1;j<=nlstate*nlstate;j++)
- varhe[i][j][(int)age] =0.;
+ for(ij=1;ij<=nlstate*nlstate;ij++)
+ for(ji=1;ji<=nlstate*nlstate;ji++)
+ varhe[ij][ji][(int)age] =0.;
printf("%d|",(int)age);fflush(stdout);
fprintf(ficlog,"%d|",(int)age);fflush(ficlog);
@@ -2453,39 +2785,61 @@ void evsij(char fileres[], double ***eij
for(k=0;k<=nhstepm-1;k++){
matprod2(dnewm,trgradg[h],1,nlstate*nlstate,1,npar,1,npar,matcov);
matprod2(doldm,dnewm,1,nlstate*nlstate,1,npar,1,nlstate*nlstate,gradg[k]);
- for(i=1;i<=nlstate*nlstate;i++)
- for(j=1;j<=nlstate*nlstate;j++)
- varhe[i][j][(int)age] += doldm[i][j]*hf*hf;
+ for(ij=1;ij<=nlstate*nlstate;ij++)
+ for(ji=1;ji<=nlstate*nlstate;ji++)
+ varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf;
}
}
+
/* Computing expectancies */
+ hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij);
for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate;j++)
for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){
- eij[i][j][(int)age] += (p3mat[i][j][h]+p3mat[i][j][h+1])/2.0*hf;
+ eij[i][j][(int)age] += (p3matm[i][j][h]+p3matm[i][j][h+1])/2.0*hf;
-/* 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]);*/
+ /* 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]);*/
}
- fprintf(ficreseij,"%3.0f",age );
- cptj=0;
+ fprintf(ficresstdeij,"%3.0f",age );
+ for(i=1; i<=nlstate;i++){
+ eip=0.;
+ vip=0.;
+ for(j=1; j<=nlstate;j++){
+ eip += eij[i][j][(int)age];
+ for(k=1; k<=nlstate;k++) /* Sum on j and k of cov(eij,eik) */
+ vip += varhe[(j-1)*nlstate+i][(k-1)*nlstate+i][(int)age];
+ fprintf(ficresstdeij," %9.4f (%.4f)", eij[i][j][(int)age], sqrt(varhe[(j-1)*nlstate+i][(j-1)*nlstate+i][(int)age]) );
+ }
+ fprintf(ficresstdeij," %9.4f (%.4f)", eip, sqrt(vip));
+ }
+ fprintf(ficresstdeij,"\n");
+
+ fprintf(ficrescveij,"%3.0f",age );
for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate;j++){
- cptj++;
- fprintf(ficreseij," %9.4f (%.4f)", eij[i][j][(int)age], sqrt(varhe[cptj][cptj][(int)age]) );
+ cptj= (j-1)*nlstate+i;
+ for(i2=1; i2<=nlstate;i2++)
+ for(j2=1; j2<=nlstate;j2++){
+ cptj2= (j2-1)*nlstate+i2;
+ if(cptj2 <= cptj)
+ fprintf(ficrescveij," %.4f", varhe[cptj][cptj2][(int)age]);
+ }
}
- fprintf(ficreseij,"\n");
+ fprintf(ficrescveij,"\n");
- free_matrix(gm,0,nhstepm,1,nlstate*nlstate);
- free_matrix(gp,0,nhstepm,1,nlstate*nlstate);
- free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate*nlstate);
- free_ma3x(trgradg,0,nhstepm,1,nlstate*nlstate,1,npar);
- free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
}
+ free_matrix(gm,0,nhstepm,1,nlstate*nlstate);
+ free_matrix(gp,0,nhstepm,1,nlstate*nlstate);
+ free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate*nlstate);
+ free_ma3x(trgradg,0,nhstepm,1,nlstate*nlstate,1,npar);
+ free_ma3x(p3matm,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+ free_ma3x(p3matp,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
printf("\n");
fprintf(ficlog,"\n");
+ free_vector(xm,1,npar);
free_vector(xp,1,npar);
free_matrix(dnewm,1,nlstate*nlstate,1,npar);
free_matrix(doldm,1,nlstate*nlstate,1,nlstate*nlstate);
@@ -2546,7 +2900,7 @@ void varevsij(char optionfilefiname[], d
printf("Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
fprintf(ficlog,"Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
- fprintf(ficresprobmorprev, "#Local time at start: %s", strstart);
+ pstamp(ficresprobmorprev);
fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()\n",estepm);
fprintf(ficresprobmorprev,"# Age cov=%-d",ij);
for(j=nlstate+1; j<=(nlstate+ndeath);j++){
@@ -2556,17 +2910,21 @@ void varevsij(char optionfilefiname[], d
}
fprintf(ficresprobmorprev,"\n");
fprintf(ficgp,"\n# Routine varevsij");
- fprintf(fichtm, "#Local time at start: %s", strstart);
+ /* fprintf(fichtm, "#Local time at start: %s", strstart);*/
fprintf(fichtm,"\n Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)
\n");
fprintf(fichtm,"\n
%s
\n",digitp);
/* } */
varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
- fprintf(ficresvij, "#Local time at start: %s", strstart);
- 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");
+ pstamp(ficresvij);
+ fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n# (weighted average of eij where weights are ");
+ if(popbased==1)
+ fprintf(ficresvij,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d\n",mobilav);
+ else
+ fprintf(ficresvij,"the age specific period (stable) prevalences in each health state \n");
fprintf(ficresvij,"# Age");
for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate;j++)
- fprintf(ficresvij," Cov(e%1d, e%1d)",i,j);
+ fprintf(ficresvij," Cov(e.%1d, e.%1d)",i,j);
fprintf(ficresvij,"\n");
xp=vector(1,npar);
@@ -2588,8 +2946,7 @@ void varevsij(char optionfilefiname[], d
/* 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.
- Look at hpijx to understand the reason of that which relies in memory size
- and note for a fixed period like k years */
+ Look at function hpijx to understand why (it is linked to memory size questions) */
/* 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 every two years of age and if
@@ -2655,7 +3012,7 @@ void varevsij(char optionfilefiname[], d
}
}
- for(j=1; j<= nlstate; j++){
+ for(j=1; j<= nlstate; j++){ /* Sum of wi * eij = e.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];
@@ -2765,9 +3122,9 @@ void varevsij(char optionfilefiname[], d
free_vector(gmp,nlstate+1,nlstate+ndeath);
free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath);
free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/
- fprintf(ficgp,"\nset noparametric;set nolabel; set ter png small;set size 0.65, 0.65");
+ fprintf(ficgp,"\nunset parametric;unset label; set ter png small;set size 0.65, 0.65");
/* for(j=nlstate+1; j<= nlstate+ndeath; j++){ *//* Only the first actually */
- fprintf(ficgp,"\n set log y; set nolog x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");
+ fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");
/* fprintf(ficgp,"\n plot \"%s\" u 1:($3*%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); */
/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)*%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */
/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)*%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */
@@ -2807,8 +3164,9 @@ void varprevlim(char fileres[], double *
double **gradg, **trgradg;
double age,agelim;
int theta;
- fprintf(ficresvpl, "#Local time at start: %s", strstart);
- fprintf(ficresvpl,"# Standard deviation of stable prevalences \n");
+
+ pstamp(ficresvpl);
+ fprintf(ficresvpl,"# Standard deviation of period (stable) prevalences \n");
fprintf(ficresvpl,"# Age");
for(i=1; i<=nlstate;i++)
fprintf(ficresvpl," %1d-%1d",i,i);
@@ -2922,15 +3280,15 @@ void varprob(char optionfilefiname[], do
fprintf(ficlog,"Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov);
printf("and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
fprintf(ficlog,"and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
- fprintf(ficresprob, "#Local time at start: %s", strstart);
+ pstamp(ficresprob);
fprintf(ficresprob,"#One-step probabilities and stand. devi in ()\n");
fprintf(ficresprob,"# Age");
- fprintf(ficresprobcov, "#Local time at start: %s", strstart);
+ pstamp(ficresprobcov);
fprintf(ficresprobcov,"#One-step probabilities and covariance matrix\n");
fprintf(ficresprobcov,"# Age");
- fprintf(ficresprobcor, "#Local time at start: %s", strstart);
+ pstamp(ficresprobcor);
fprintf(ficresprobcor,"#One-step probabilities and correlation matrix\n");
- fprintf(ficresprobcov,"# Age");
+ fprintf(ficresprobcor,"# Age");
for(i=1; i<=nlstate;i++)
@@ -2943,7 +3301,7 @@ void varprob(char optionfilefiname[], do
fprintf(ficresprobcov,"\n");
fprintf(ficresprobcor,"\n");
*/
- xp=vector(1,npar);
+ xp=vector(1,npar);
dnewm=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
doldm=matrix(1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath));
mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage);
@@ -3096,7 +3454,7 @@ To be simple, these graphs help to under
/* Confidence intervalle of pij */
/*
- fprintf(ficgp,"\nset noparametric;unset label");
+ fprintf(ficgp,"\nunset parametric;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
Probability with confidence intervals expressed in year-1 :pijgr%s.png, ",optionfilefiname,optionfilefiname);
@@ -3181,6 +3539,8 @@ To be simple, these graphs help to under
}
free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);
free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);
+ free_matrix(doldm,1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath));
+ free_matrix(dnewm,1,(nlstate)*(nlstate+ndeath),1,npar);
free_vector(xp,1,npar);
fclose(ficresprob);
fclose(ficresprobcov);
@@ -3199,19 +3559,25 @@ void printinghtml(char fileres[], char t
double jprev2, double mprev2,double anprev2){
int jj1, k1, i1, cpt;
- fprintf(fichtm,"