--- imach/src/imach.c 2003/06/27 13:00:02 1.94
+++ imach/src/imach.c 2014/02/10 22:17:31 1.144
@@ -1,6 +1,246 @@
-/* $Id: imach.c,v 1.94 2003/06/27 13:00:02 brouard Exp $
+/* $Id: imach.c,v 1.144 2014/02/10 22:17:31 brouard Exp $
$State: Exp $
$Log: imach.c,v $
+ Revision 1.144 2014/02/10 22:17:31 brouard
+ *** empty log message ***
+
+ Revision 1.143 2014/01/26 09:45:38 brouard
+ Summary: Version 0.98nR (to be improved, but gives same optimization results as 0.98k. Nice, promising
+
+ * imach.c (Module): Trying to merge old staffs together while being at Tokyo. Not tested...
+ (Module): Version 0.98nR Running ok, but output format still only works for three covariates.
+
+ Revision 1.142 2014/01/26 03:57:36 brouard
+ Summary: gnuplot changed plot w l 1 has to be changed to plot w l lt 2
+
+ * imach.c (Module): Trying to merge old staffs together while being at Tokyo. Not tested...
+
+ Revision 1.141 2014/01/26 02:42:01 brouard
+ * imach.c (Module): Trying to merge old staffs together while being at Tokyo. Not tested...
+
+ Revision 1.140 2011/09/02 10:37:54 brouard
+ Summary: times.h is ok with mingw32 now.
+
+ Revision 1.139 2010/06/14 07:50:17 brouard
+ After the theft of my laptop, I probably lost some lines of codes which were not uploaded to the CVS tree.
+ I remember having already fixed agemin agemax which are pointers now but not cvs saved.
+
+ Revision 1.138 2010/04/30 18:19:40 brouard
+ *** empty log message ***
+
+ Revision 1.137 2010/04/29 18:11:38 brouard
+ (Module): Checking covariates for more complex models
+ than V1+V2. A lot of change to be done. Unstable.
+
+ Revision 1.136 2010/04/26 20:30:53 brouard
+ (Module): merging some libgsl code. Fixing computation
+ of likelione (using inter/intrapolation if mle = 0) in order to
+ get same likelihood as if mle=1.
+ Some cleaning of code and comments added.
+
+ Revision 1.135 2009/10/29 15:33:14 brouard
+ (Module): Now imach stops if date of birth, at least year of birth, is not given. Some cleaning of the code.
+
+ 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. <head> 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 ***
+
+ Revision 1.104 2005/09/30 16:11:43 lievre
+ (Module): sump fixed, loop imx fixed, and simplifications.
+ (Module): If the status is missing at the last wave but we know
+ that the person is alive, then we can code his/her status as -2
+ (instead of missing=-1 in earlier versions) and his/her
+ contributions to the likelihood is 1 - Prob of dying from last
+ health status (= 1-p13= p11+p12 in the easiest case of somebody in
+ the healthy state at last known wave). Version is 0.98
+
+ Revision 1.103 2005/09/30 15:54:49 lievre
+ (Module): sump fixed, loop imx fixed, and simplifications.
+
+ Revision 1.102 2004/09/15 17:31:30 brouard
+ Add the possibility to read data file including tab characters.
+
+ Revision 1.101 2004/09/15 10:38:38 brouard
+ Fix on curr_time
+
+ Revision 1.100 2004/07/12 18:29:06 brouard
+ Add version for Mac OS X. Just define UNIX in Makefile
+
+ Revision 1.99 2004/06/05 08:57:40 brouard
+ *** empty log message ***
+
+ Revision 1.98 2004/05/16 15:05:56 brouard
+ New version 0.97 . First attempt to estimate force of mortality
+ directly from the data i.e. without the need of knowing the health
+ state at each age, but using a Gompertz model: log u =a + b*age .
+ This is the basic analysis of mortality and should be done before any
+ other analysis, in order to test if the mortality estimated from the
+ cross-longitudinal survey is different from the mortality estimated
+ from other sources like vital statistic data.
+
+ 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
+ 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
+ the slope with 95% confident intervals.
+
+ Current limitations:
+ A) Even if you enter covariates, i.e. with the
+ model= V1+V2 equation for example, the programm does only estimate a unique global model without covariates.
+ B) There is no computation of Life Expectancy nor Life Table.
+
+ Revision 1.97 2004/02/20 13:25:42 lievre
+ Version 0.96d. Population forecasting command line is (temporarily)
+ suppressed.
+
+ Revision 1.96 2003/07/15 15:38:55 brouard
+ * imach.c (Repository): Errors in subdirf, 2, 3 while printing tmpout is
+ rewritten within the same printf. Workaround: many printfs.
+
+ Revision 1.95 2003/07/08 07:54:34 brouard
+ * imach.c (Repository):
+ (Repository): Using imachwizard code to output a more meaningful covariance
+ matrix (cov(a12,c31) instead of numbers.
+
Revision 1.94 2003/06/27 13:00:02 brouard
Just cleaning
@@ -108,10 +348,10 @@
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
@@ -137,7 +377,7 @@
begin-prev-date,...
open gnuplot file
open html file
- stable prevalence
+ period (stable) prevalence
for age prevalim()
h Pij x
variance of p varprob
@@ -149,7 +389,7 @@
varevsij()
if popbased==1 varevsij(,popbased)
total life expectancies
- Variance of stable prevalence
+ Variance of period (stable) prevalence
end
*/
@@ -159,73 +399,99 @@
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
+#include <string.h>
#include <unistd.h>
-#include <sys/time.h>
+#include <limits.h>
+#include <sys/types.h>
+#include <sys/stat.h>
+#include <errno.h>
+extern int errno;
+
+#ifdef LINUX
#include <time.h>
#include "timeval.h"
+#else
+#include <sys/time.h>
+#endif
+
+#ifdef GSL
+#include <gsl/gsl_errno.h>
+#include <gsl/gsl_multimin.h>
+#endif
+
+/* #include <libintl.h> */
+/* #define _(String) gettext (String) */
+
+#define MAXLINE 1024 /* Was 256. Overflow with 312 with 2 states and 4 covariates. Should be ok */
-#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 NPARMAX 64 /* (nlstate+ndeath-1)*nlstate*ncovmodel */
+#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 NLSTATEMAX 8 /**< Maximum number of live states (for func) */
+#define NDEATHMAX 8 /**< Maximum number of dead states (for func) */
+#define NCOVMAX 20 /**< Maximum number of covariates, including generated covariates V1*V2 */
#define MAXN 20000
-#define YEARM 12. /* Number of months per year */
+#define YEARM 12. /**< Number of months per year */
#define AGESUP 130
#define AGEBASE 40
-#ifdef unix
+#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 1.94 2003/06/27 13:00:02 brouard Exp $ */
+/* $Id: imach.c,v 1.144 2014/02/10 22:17:31 brouard Exp $ */
/* $State: Exp $ */
-char version[]="Imach version 0.96b, June 2003, INED-EUROREVES ";
-char fullversion[]="$Revision: 1.94 $ $Date: 2003/06/27 13:00:02 $";
-int erreur, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */
-int nvar;
-int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov;
+char version[]="Imach version 0.98nR2, January 2014,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121)";
+char fullversion[]="$Revision: 1.144 $ $Date: 2014/02/10 22:17:31 $";
+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 ; */ /* Used in readdata only */
+FILE *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 */
FILE *ficresilk;
FILE *ficgp,*ficresprob,*ficpop, *ficresprobcov, *ficresprobcor;
@@ -233,14 +499,18 @@ 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 tmpout[FILENAMELENGTH];
+char plotcmd[FILENAMELENGTH], pplotcmd[FILENAMELENGTH];
+char tmpout[FILENAMELENGTH], tmpout2[FILENAMELENGTH];
char command[FILENAMELENGTH];
int outcmd=0;
@@ -261,6 +531,10 @@ 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
@@ -288,9 +562,10 @@ static double maxarg1,maxarg2;
static double sqrarg;
#define SQR(a) ((sqrarg=(a)) == 0.0 ? 0.0 :sqrarg*sqrarg)
#define SWAP(a,b) {temp=(a);(a)=(b);(b)=temp;}
+int agegomp= AGEGOMP;
int imx;
-int stepm;
+int stepm=1;
/* Stepm, step in month: minimum step interpolation*/
int estepm;
@@ -298,29 +573,41 @@ int estepm;
int m,nb;
long *num;
-int firstpass=0, lastpass=4,*cod, *ncodemax, *Tage;
+int firstpass=0, lastpass=4,*cod, *ncodemax, *Tage,*cens;
double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint;
double **pmmij, ***probs;
+double *ageexmed,*agecens;
double dateintmean=0;
double *weight;
int **s; /* Status */
-double *agedc, **covar, idx;
-int **nbcode, *Tcode, *Tvar, **codtab, **Tvard, *Tprod, cptcovprod, *Tvaraff;
+double *agedc;
+double **covar; /**< covar[i,j], value of jth covariate for individual i,
+ * covar=matrix(0,NCOVMAX,1,n);
+ * cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2]; */
+double idx;
+int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */
+int **codtab; /**< codtab=imatrix(1,100,1,10); */
+int **Tvard, *Tprod, cptcovprod, *Tvaraff;
+double *lsurv, *lpop, *tpop;
-double ftol=FTOL; /* Tolerance for computing Max Likelihood */
-double ftolhess; /* Tolerance for computing hessian */
+double ftol=FTOL; /**< Tolerance for computing Max Likelihood */
+double ftolhess; /**< Tolerance for computing hessian */
/**************** 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)
+ the name of the file (name), its extension only (ext) and its first part of the name (finame)
+ */
char *ss; /* pointer */
int l1, l2; /* length counters */
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 */
@@ -328,7 +615,8 @@ 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 */
@@ -336,21 +624,25 @@ 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 / */
- ss++;
- strcpy(ext,ss); /* save extension */
- l1= strlen( name);
- l2= strlen(ss)+1;
- strncpy( finame, name, l1-l2);
- finame[l1-l2]= 0;
+ if (ss >0){
+ ss++;
+ strcpy(ext,ss); /* save extension */
+ l1= strlen( name);
+ l2= strlen(ss)+1;
+ strncpy( finame, name, l1-l2);
+ finame[l1-l2]= 0;
+ }
+
return( 0 ); /* we're done */
}
@@ -369,6 +661,49 @@ void replace_back_to_slash(char *s, char
}
}
+char *trimbb(char *out, char *in)
+{ /* Trim multiple blanks in line but keeps first blanks if line starts with blanks */
+ char *s;
+ s=out;
+ while (*in != '\0'){
+ while( *in == ' ' && *(in+1) == ' '){ /* && *(in+1) != '\0'){*/
+ in++;
+ }
+ *out++ = *in++;
+ }
+ *out='\0';
+ return s;
+}
+
+char *cutv(char *blocc, char *alocc, char *in, char occ)
+{
+ /* cuts string in into blocc and alocc where blocc ends before last occurence of char 'occ'
+ and alocc starts after last occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
+ gives blocc="abcdef2ghi" and alocc="j".
+ If occ is not found blocc is null and alocc is equal to in. Returns alocc
+ */
+ char *s, *t;
+ t=in;s=in;
+ while (*in != '\0'){
+ while( *in == occ){
+ *blocc++ = *in++;
+ s=in;
+ }
+ *blocc++ = *in++;
+ }
+ if (s == t) /* occ not found */
+ *(blocc-(in-s))='\0';
+ else
+ *(blocc-(in-s)-1)='\0';
+ in=s;
+ while ( *in != '\0'){
+ *alocc++ = *in++;
+ }
+
+ *alocc='\0';
+ return s;
+}
+
int nbocc(char *s, char occ)
{
int i,j=0;
@@ -381,27 +716,27 @@ int nbocc(char *s, char occ)
return j;
}
-void cutv(char *u,char *v, char*t, char occ)
-{
- /* cuts string t into u and v where u is ended by char occ excluding it
- 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;
- i=0;
- for(j=0; j<=strlen(t)-1; j++) {
- if((t[j]!= occ) && (t[j+1]== occ)) p=j+1;
- }
+/* void cutv(char *u,char *v, char*t, char occ) */
+/* { */
+/* /\* cuts string t into u and v where u ends before last occurence of char 'occ' */
+/* and v starts after last occurence of char 'occ' : ex cutv(u,v,"abcdef2ghi2j",'2') */
+/* gives u="abcdef2ghi" and v="j" *\/ */
+/* int i,lg,j,p=0; */
+/* i=0; */
+/* lg=strlen(t); */
+/* for(j=0; j<=lg-1; j++) { */
+/* if((t[j]!= occ) && (t[j+1]== occ)) p=j+1; */
+/* } */
- lg=strlen(t);
- for(j=0; j<p; j++) {
- (u[j] = t[j]);
- }
- u[p]='\0';
+/* for(j=0; j<p; j++) { */
+/* (u[j] = t[j]); */
+/* } */
+/* u[p]='\0'; */
- for(j=0; j<= lg; j++) {
- if (j>=(p+1))(v[j-p-1] = t[j]);
- }
-}
+/* for(j=0; j<= lg; j++) { */
+/* if (j>=(p+1))(v[j-p-1] = t[j]); */
+/* } */
+/* } */
/********************** nrerror ********************/
@@ -784,7 +1119,7 @@ char *asc_diff_time(long time_sec, char
sec_left = (sec_left) %(60*60);
minutes = (sec_left) /60;
sec_left = (sec_left) % (60);
- sprintf(ascdiff,"%d day(s) %d hour(s) %d minute(s) %d second(s)",days, hours, minutes, sec_left);
+ sprintf(ascdiff,"%ld day(s) %ld hour(s) %ld minute(s) %ld second(s)",days, hours, minutes, sec_left);
return ascdiff;
}
@@ -813,9 +1148,9 @@ 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);
- for (i=1;i<=n;i++) {
+ 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]);
fprintf(ficrespow," %.12lf", p[i]);
@@ -825,11 +1160,11 @@ void powell(double p[], double **xi, int
fprintf(ficrespow,"\n");fflush(ficrespow);
if(*iter <=3){
tm = *localtime(&curr_time.tv_sec);
- strcpy(strcurr,asctime(&tmf));
+ strcpy(strcurr,asctime(&tm));
/* asctime_r(&tm,strcurr); */
- forecast_time=curr_time;
+ forecast_time=curr_time;
itmp = strlen(strcurr);
- if(strcurr[itmp-1]=='\n')
+ if(strcurr[itmp-1]=='\n') /* Windows outputs with a new line */
strcurr[itmp-1]='\0';
printf("\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,curr_time.tv_sec-last_time.tv_sec);
fprintf(ficlog,"\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,curr_time.tv_sec-last_time.tv_sec);
@@ -841,8 +1176,8 @@ void powell(double p[], double **xi, int
itmp = strlen(strfor);
if(strfor[itmp-1]=='\n')
strfor[itmp-1]='\0';
- printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s or\n on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);
- fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s or\n on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);
+ printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);
+ fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);
}
}
for (i=1;i<=n;i++) {
@@ -936,7 +1271,7 @@ 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)
{
@@ -946,7 +1281,7 @@ 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 */
@@ -961,21 +1296,21 @@ double **prevalim(double **prlim, int nl
for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){
newm=savm;
/* Covariates have to be included here again */
- cov[2]=agefin;
-
- 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]]);*/
- }
- 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]]];
-
- /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/
- /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/
- /*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/
- out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);
-
+ cov[2]=agefin;
+
+ 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]]);*/
+ }
+ 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]]];
+
+ /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/
+ /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/
+ /*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/
+ out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */
+
savm=oldm;
oldm=newm;
maxmax=0.;
@@ -1002,62 +1337,81 @@ double **prevalim(double **prlim, int nl
double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate )
{
- double s1, s2;
+ /* According to parameters values stored in x and the covariate's values stored in cov,
+ computes the probability to be observed in state j being in state i by appying the
+ model to the ncovmodel covariates (including constant and age).
+ lnpijopii=ln(pij/pii)= aij+bij*age+cij*v1+dij*v2+... = sum_nc=1^ncovmodel xij(nc)*cov[nc]
+ and, according on how parameters are entered, the position of the coefficient xij(nc) of the
+ ncth covariate in the global vector x is given by the formula:
+ j<i nc+((i-1)*(nlstate+ndeath-1)+j-1)*ncovmodel
+ j>=i nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel
+ Computes ln(pij/pii) (lnpijopii), deduces pij/pii by exponentiation,
+ sums on j different of i to get 1-pii/pii, deduces pii, and then all pij.
+ Outputs ps[i][j] the probability to be observed in j being in j according to
+ the values of the covariates cov[nc] and corresponding parameter values x[nc+shiftij]
+ */
+ double s1, lnpijopii;
/*double t34;*/
int i,j,j1, nc, ii, jj;
for(i=1; i<= nlstate; i++){
- for(j=1; j<i;j++){
- for (nc=1, s2=0.;nc <=ncovmodel; nc++){
- /*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("Int j<i s1=%.17e, s2=%.17e\n",s1,s2);*/
- }
- ps[i][j]=s2;
- /*printf("s1=%.17e, s2=%.17e\n",s1,s2);*/
- }
- for(j=i+1; j<=nlstate+ndeath;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("Int j>i s1=%.17e, s2=%.17e %lx %lx\n",s1,s2,s1,s2);*/
- }
- ps[i][j]=s2;
- }
- }
- /*ps[3][2]=1;*/
-
- for(i=1; i<= nlstate; i++){
- s1=0;
- for(j=1; j<i; j++)
- s1+=exp(ps[i][j]);
- for(j=i+1; j<=nlstate+ndeath; j++)
- s1+=exp(ps[i][j]);
- ps[i][i]=1./(s1+1.);
- for(j=1; j<i; j++)
- ps[i][j]= exp(ps[i][j])*ps[i][i];
- for(j=i+1; j<=nlstate+ndeath; j++)
- 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 */
-
- for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){
- for(jj=1; jj<= nlstate+ndeath; jj++){
- ps[ii][jj]=0;
- ps[ii][ii]=1;
+ for(j=1; j<i;j++){
+ for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){
+ /*lnpijopii += param[i][j][nc]*cov[nc];*/
+ lnpijopii += x[nc+((i-1)*(nlstate+ndeath-1)+j-1)*ncovmodel]*cov[nc];
+/* printf("Int j<i s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */
+ }
+ ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */
+/* printf("s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */
+ }
+ for(j=i+1; j<=nlstate+ndeath;j++){
+ for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){
+ /*lnpijopii += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];*/
+ lnpijopii += x[nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel]*cov[nc];
+/* printf("Int j>i s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */
+ }
+ ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */
+ }
}
- }
-
-
- /* for(ii=1; ii<= nlstate+ndeath; ii++){
- for(jj=1; jj<= nlstate+ndeath; jj++){
- printf("%lf ",ps[ii][jj]);
- }
- printf("\n ");
+
+ for(i=1; i<= nlstate; i++){
+ s1=0;
+ for(j=1; j<i; j++){
+ s1+=exp(ps[i][j]); /* In fact sums pij/pii */
+ /*printf("debug1 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */
+ }
+ for(j=i+1; j<=nlstate+ndeath; j++){
+ s1+=exp(ps[i][j]); /* In fact sums pij/pii */
+ /*printf("debug2 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */
+ }
+ /* s1= sum_{j<>i} pij/pii=(1-pii)/pii and thus pii is known from s1 */
+ ps[i][i]=1./(s1+1.);
+ /* Computing other pijs */
+ for(j=1; j<i; j++)
+ ps[i][j]= exp(ps[i][j])*ps[i][i];
+ for(j=i+1; j<=nlstate+ndeath; j++)
+ 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 */
+
+ for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){
+ for(jj=1; jj<= nlstate+ndeath; jj++){
+ ps[ii][jj]=0;
+ ps[ii][ii]=1;
+ }
}
- printf("\n ");printf("%lf ",cov[2]);*/
-/*
- for(i=1; i<= npar; i++) printf("%f ",x[i]);
- goto end;*/
+
+
+/* for(ii=1; ii<= nlstate+ndeath; ii++){ */
+/* for(jj=1; jj<= nlstate+ndeath; jj++){ */
+/* printf("ddd %lf ",ps[ii][jj]); */
+/* } */
+/* printf("\n "); */
+/* } */
+/* printf("\n ");printf("%lf ",cov[2]); */
+ /*
+ for(i=1; i<= npar; i++) printf("%f ",x[i]);
+ goto end;*/
return ps;
}
@@ -1097,7 +1451,7 @@ double ***hpxij(double ***po, int nhstep
*/
int i, j, d, h, k;
- double **out, cov[NCOVMAX];
+ double **out, cov[NCOVMAX+1];
double **newm;
/* Hstepm could be zero and should return the unit matrix */
@@ -1113,7 +1467,8 @@ double ***hpxij(double ***po, int nhstep
/* Covariates have to be included here again */
cov[1]=1.;
cov[2]=age+((h-1)*hstepm + (d-1))*stepm/YEARM;
- for (k=1; k<=cptcovn;k++) cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];
+ for (k=1; k<=cptcovn;k++)
+ cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];
for (k=1; k<=cptcovage;k++)
cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
for (k=1; k<=cptcovprod;k++)
@@ -1130,10 +1485,11 @@ double ***hpxij(double ***po, int nhstep
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]);
- */
+ /*if(h==nhstepm) printf("po[%d][%d][%d]=%f ",i,j,h,po[i][j][h]);*/
}
+ /*printf("h=%d ",h);*/
} /* end h */
+/* printf("\n H=%d \n",h); */
return po;
}
@@ -1142,7 +1498,7 @@ double ***hpxij(double ***po, int nhstep
double func( double *x)
{
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 sw; /* Sum of weights */
double lli; /* Individual log likelihood */
@@ -1161,7 +1517,15 @@ double func( double *x)
if(mle==1){
for (i=1,ipmx=0, sw=0.; i<=imx; i++){
+ /* Computes the values of the ncovmodel covariates of the model
+ depending if the covariates are fixed or variying (age dependent) and stores them in cov[]
+ Then computes with function pmij which return a matrix p[i][j] giving the elementary probability
+ to be observed in j being in i according to the model.
+ */
for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
+ /* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4]
+ is 6, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2]
+ has been calculated etc */
for(mi=1; mi<= wav[i]-1; mi++){
for (ii=1;ii<=nlstate+ndeath;ii++)
for (j=1;j<=nlstate+ndeath;j++){
@@ -1172,7 +1536,7 @@ double func( double *x)
newm=savm;
cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
for (kk=1; kk<=cptcovage;kk++) {
- cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
+ cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2]; /* Tage[kk] gives the data-covariate associated with age */
}
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
@@ -1181,14 +1545,14 @@ double func( double *x)
} /* end mult */
/*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */
- /* But now since version 0.9 we anticipate for bias and large stepm.
+ /* But now since version 0.9 we anticipate for bias at large stepm.
* If stepm is larger than one month (smallest stepm) and if the exact delay
* (in months) between two waves is not a multiple of stepm, we rounded to
* the nearest (and in case of equal distance, to the lowest) interval but now
* we keep into memory the bias bh[mi][i] and also the previous matrix product
- * (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the
+ * (i.e to dh[mi][i]-1) saved in 'savm'. Then we inter(extra)polate the
* probability in order to take into account the bias as a fraction of the way
- * from savm to out if bh is neagtive or even beyond if bh is positive. bh varies
+ * from savm to out if bh is negative or even beyond if bh is positive. bh varies
* -stepm/2 to stepm/2 .
* For stepm=1 the results are the same as for previous versions of Imach.
* For stepm > 1 the results are less biased than in previous versions.
@@ -1196,15 +1560,16 @@ double func( double *x)
s1=s[mw[mi][i]][i];
s2=s[mw[mi+1][i]][i];
bbh=(double)bh[mi][i]/(double)stepm;
- /* bias is positive if real duration
+ /* bias bh is positive if real duration
* is higher than the multiple of stepm and negative otherwise.
*/
/* 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){
- /* i.e. if s2 is a death state and if the date of death is known then the contribution
- 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 .
+ /* i.e. if s2 is a death state and if the date of death is known
+ then the contribution to the likelihood is the probability to
+ die between last step unit time and current step unit time,
+ which is also equal to probability to die before dh
+ minus probability to die before dh-stepm .
In version up to 0.92 likelihood was computed
as if date of death was unknown. Death was treated as any other
health state: the date of the interview describes the actual state
@@ -1224,7 +1589,28 @@ double func( double *x)
lower mortality.
*/
lli=log(out[s1][s2] - savm[s1][s2]);
- }else{
+
+
+ } else if (s2==-2) {
+ for (j=1,survp=0. ; j<=nlstate; j++)
+ survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j];
+ /*survp += out[s1][j]; */
+ lli= log(survp);
+ }
+
+ else if (s2==-4) {
+ for (j=3,survp=0. ; j<=nlstate; j++)
+ survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j];
+ lli= log(survp);
+ }
+
+ else if (s2==-5) {
+ for (j=1,survp=0. ; j<=2; j++)
+ survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j];
+ lli= log(survp);
+ }
+
+ else{
lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
/* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2]));*/ /* linear interpolation */
}
@@ -1374,7 +1760,7 @@ 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;
@@ -1418,7 +1804,11 @@ 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 */
@@ -1426,16 +1816,17 @@ double funcone( double *x)
lli= (savm[s1][s2]>(double)1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */
} else if (mle==4){ /* mle=4 no inter-extrapolation */
lli=log(out[s1][s2]); /* Original formula */
- } else{ /* ml>=5 no inter-extrapolation no jackson =0.8a */
- lli=log(out[s1][s2]); /* Original formula */
+ } else{ /* mle=0 back to 1 */
+ lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
+ /*lli=log(out[s1][s2]); */ /* Original formula */
} /* End of if */
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,"%9ld %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++){
@@ -1500,7 +1891,7 @@ void mlikeli(FILE *ficres,double p[], in
double **xi;
double fret;
double fretone; /* Only one call to likelihood */
- char filerespow[FILENAMELENGTH];
+ /* char filerespow[FILENAMELENGTH];*/
xi=matrix(1,npar,1,npar);
for (i=1;i<=npar;i++)
for (j=1;j<=npar;j++)
@@ -1520,6 +1911,7 @@ 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));
@@ -1535,11 +1927,11 @@ void hesscov(double **matcov, double p[]
int i, j,jk;
int *indx;
- double hessii(double p[], double delta, int theta, double delti[]);
- double hessij(double p[], double delti[], int i, int j);
+ double hessii(double p[], double delta, int theta, double delti[],double (*func)(double []),int npar);
+ double hessij(double p[], double delti[], int i, int j,double (*func)(double []),int npar);
void lubksb(double **a, int npar, int *indx, double b[]) ;
void ludcmp(double **a, int npar, int *indx, double *d) ;
-
+ double gompertz(double p[]);
hess=matrix(1,npar,1,npar);
printf("\nCalculation of the hessian matrix. Wait...\n");
@@ -1547,9 +1939,11 @@ void hesscov(double **matcov, double p[]
for (i=1;i<=npar;i++){
printf("%d",i);fflush(stdout);
fprintf(ficlog,"%d",i);fflush(ficlog);
- hess[i][i]=hessii(p,ftolhess,i,delti);
- /*printf(" %f ",p[i]);*/
- /*printf(" %lf ",hess[i][i]);*/
+
+ hess[i][i]=hessii(p,ftolhess,i,delti,func,npar);
+
+ /* printf(" %f ",p[i]);
+ printf(" %lf %lf %lf",hess[i][i],ftolhess,delti[i]);*/
}
for (i=1;i<=npar;i++) {
@@ -1557,7 +1951,8 @@ void hesscov(double **matcov, double p[]
if (j>i) {
printf(".%d%d",i,j);fflush(stdout);
fprintf(ficlog,".%d%d",i,j);fflush(ficlog);
- hess[i][j]=hessij(p,delti,i,j);
+ hess[i][j]=hessij(p,delti,i,j,func,npar);
+
hess[j][i]=hess[i][j];
/*printf(" %lf ",hess[i][j]);*/
}
@@ -1628,14 +2023,14 @@ void hesscov(double **matcov, double p[]
}
/*************** hessian matrix ****************/
-double hessii( double x[], double delta, int theta, double delti[])
+double hessii(double x[], double delta, int theta, double delti[], double (*func)(double []), int npar)
{
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, delts, nkhi=10.,nkhif=1., khi=1.e-4;
+ double delt=0.0001, delts, nkhi=10.,nkhif=1., khi=1.e-4;
double fx;
int k=0,kmax=10;
double l1;
@@ -1654,7 +2049,7 @@ 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
@@ -1675,12 +2070,12 @@ double hessii( double x[], double delta,
}
-double hessij( double x[], double delti[], int thetai,int thetaj)
+double hessij( double x[], double delti[], int thetai,int thetaj,double (*func)(double []),int npar)
{
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);
@@ -1784,16 +2179,20 @@ 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)
+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);
@@ -1805,7 +2204,7 @@ void freqsummary(char fileres[], int ia
fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);
exit(0);
}
- freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);
+ freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin,iagemax+3);
j1=0;
j=cptcoveff;
@@ -1813,29 +2212,35 @@ void freqsummary(char fileres[], int ia
first=1;
- for(k1=1; k1<=j;k1++){
- for(i1=1; i1<=ncodemax[k1];i1++){
+ for(k1=1; k1<=j ; k1++){ /* Loop on covariates */
+ for(i1=1; i1<=ncodemax[k1];i1++){ /* Now it is 2 */
j1++;
/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);
scanf("%d", i);*/
- for (i=-1; i<=nlstate+ndeath; i++)
- for (jk=-1; jk<=nlstate+ndeath; jk++)
+ for (i=-5; i<=nlstate+ndeath; i++)
+ for (jk=-5; jk<=nlstate+ndeath; jk++)
for(m=iagemin; m <= iagemax+3; m++)
freq[i][jk][m]=0;
-
- for (i=1; i<=nlstate; i++)
- for(m=iagemin; m <= iagemax+3; m++)
- prop[i][m]=0;
+
+ for (i=1; i<=nlstate; i++)
+ for(m=iagemin; m <= iagemax+3; m++)
+ prop[i][m]=0;
dateintsum=0;
k2cpt=0;
for (i=1; i<=imx; i++) {
bool=1;
- if (cptcovn>0) {
- for (z1=1; z1<=cptcoveff; z1++)
- if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])
- bool=0;
+ if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */
+ for (z1=1; z1<=cptcoveff; z1++)
+ if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]){
+ bool=0;
+ printf("bool=%d i=%d, z1=%d, i1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtab[%d][%d]=%d, nbcode[Tvaraff][codtab[%d][%d]=%d, j1=%d\n",
+ bool,i,z1, i1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtab[j1][z1],
+ j1,z1,nbcode[Tvaraff[z1]][codtab[j1][z1]],j1);
+ /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtab[7][3]=1 and nbcde[3][?]=1*/
+ }
}
+
if (bool==1){
for(m=firstpass; m<=lastpass; m++){
k2=anint[m][i]+(mint[m][i]/12.);
@@ -1858,11 +2263,14 @@ void freqsummary(char fileres[], int ia
}
/* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
-
+ 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]]);
fprintf(ficresp, "**********\n#");
+ fprintf(ficlog, "\n#********** Variable ");
+ for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
+ fprintf(ficlog, "**********\n#");
}
for(i=1; i<=nlstate;i++)
fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
@@ -1887,7 +2295,7 @@ void freqsummary(char fileres[], int ia
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{
@@ -1944,7 +2352,7 @@ void freqsummary(char fileres[], int ia
dateintmean=dateintsum/k2cpt;
fclose(ficresp);
- free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);
+ free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin, iagemax+3);
free_vector(pp,1,nlstate);
free_matrix(prop,1,nlstate,iagemin, iagemax+3);
/* End of Freq */
@@ -1958,7 +2366,7 @@ 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;
@@ -2016,7 +2424,8 @@ 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 */
@@ -2053,7 +2462,7 @@ void concatwav(int wav[], int **dh, int
mi=0;
m=firstpass;
while(s[m][i] <= nlstate){
- if(s[m][i]>=1)
+ if(s[m][i]>=1 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5)
mw[++mi][i]=m;
if(m >=lastpass)
break;
@@ -2071,11 +2480,11 @@ 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 */
@@ -2093,13 +2502,19 @@ void concatwav(int wav[], int **dh, int
nberr++;
printf("Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
j=1; /* Temporary Dangerous patch */
- printf(" 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.\n You MUST fix the contradiction between dates.\n",stepm);
+ printf(" 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);
fprintf(ficlog,"Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
- 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.\n You MUST fix the contradiction between dates.\n",stepm);
+ 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);*/
@@ -2107,10 +2522,17 @@ void concatwav(int wav[], int **dh, int
}
else{
j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12));
- /* printf("%d %d %d %d\n", s[mw[mi][i]][i] ,s[mw[mi+1][i]][i],j,i);*/
+/* 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){
@@ -2128,7 +2550,7 @@ void concatwav(int wav[], int **dh, int
dh[mi][i]=jk;
bh[mi][i]=0;
}else{ /* We want a negative bias in order to only have interpolation ie
- * at the price of an extra matrix product in likelihood */
+ * to avoid the price of an extra matrix product in likelihood */
dh[mi][i]=jk+1;
bh[mi][i]=ju;
}
@@ -2153,96 +2575,240 @@ 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 %d) Max=%d (%d) 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;
- int cptcode=0;
+ /**< Uses cptcovn+2*cptcovprod as the number of covariates */
+ /* Tvar[i]=atoi(stre); find 'n' in Vn and stores in Tvar. If model=V2+V1 Tvar[1]=2 and Tvar[2]=1
+ /* Boring subroutine which should only output nbcode[Tvar[j]][k]
+ /* nbcode[Tvar[j][1]=
+ */
+
+ int Ndum[20],ij=1, k=0, j=0, i=0, maxncov=NCOVMAX;
+ int modmaxcovj=0; /* Modality max of covariates j */
cptcoveff=0;
- for (k=0; k<maxncov; k++) Ndum[k]=0;
- for (k=1; k<=7; k++) ncodemax[k]=0;
+ for (k=0; k < maxncov; k++) Ndum[k]=0;
+ for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */
- for (j=1; j<=(cptcovn+2*cptcovprod); j++) {
- for (i=1; i<=imx; i++) { /*reads the data file to get the maximum
- modality*/
- ij=(int)(covar[Tvar[j]][i]); /* ij is the modality of this individual*/
- Ndum[ij]++; /*store the modality */
+ for (j=1; j<=(cptcovn+2*cptcovprod); j++) { /* For each covariate j */
+ for (i=1; i<=imx; i++) { /*reads the data file to get the maximum value of the
+ modality of this covariate Vj*/
+ ij=(int)(covar[Tvar[j]][i]); /* ij=0 or 1 or -1. Finds for covariate j, n=Tvar[j] of Vn . ij is the
+ modality of the nth covariate of individual i. */
+ Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/
/*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/
- if (ij > cptcode) cptcode=ij; /* getting the maximum of covariable
- 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 */
- }
+ if (ij > modmaxcovj) modmaxcovj=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 coded 0 and
+ female is 1, then modmaxcovj=1.*/
+ }
+ /* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */
+ for (i=0; i<=modmaxcovj; i++) { /* i=-1 ? 0 and 1*//* For each modality of model-cov j */
+ if( Ndum[i] != 0 )
+ ncodemax[j]++;
+ /* Number of modalities of the j th covariate. In fact
+ ncodemax[j]=2 (dichotom. variables only) but it could be more for
+ historical reasons */
+ } /* Ndum[-1] number of undefined modalities */
+ /* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */
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 dichotomous */
+ for (k=0; k<= modmaxcovj; k++) { /* k=-1 ? NCOVMAX*//* maxncov or modmaxcovj */
+ 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;
- }
- }
- }
-
- for (k=0; k< maxncov; k++) Ndum[k]=0;
-
- for (i=1; i<=ncovmodel-2; i++) {
- /* Listing of all covariables in staement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/
- ij=Tvar[i];
+ } /* end of loop on */
+ } /* end of loop on modality */
+ } /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/
+
+ for (k=0; k< maxncov; k++) Ndum[k]=0;
+
+ 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]; /* Tvar might be -1 if status was unknown */
Ndum[ij]++;
}
ij=1;
- for (i=1; i<= maxncov; i++) {
+ for (i=1; i<= maxncov; i++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */
if((Ndum[i]!=0) && (i<=ncovcol)){
Tvaraff[ij]=i; /*For printing */
ij++;
}
}
-
- cptcoveff=ij-1; /*Number of simple covariates*/
+ ij--;
+ cptcoveff=ij; /*Number of total 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 )
+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, 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;
+ 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[] )
{
- /* Health expectancies */
- int i, j, nhstepm, hstepm, h, nstepm, k, cptj;
+ /* 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 ***p3mat,***varhe;
+ 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,"# 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);
}
@@ -2272,77 +2838,69 @@ 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++){
+ /* Computing Variances of health expectancies */
+ /* 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);
@@ -2350,39 +2908,61 @@ 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;
- for(i=1; i<=nlstate;i++)
+ fprintf(ficresstdeij,"%3.0f",age );
+ for(i=1; i<=nlstate;i++){
+ eip=0.;
+ vip=0.;
for(j=1; j<=nlstate;j++){
- cptj++;
- fprintf(ficreseij," %9.4f (%.4f)", eij[i][j][(int)age], sqrt(varhe[cptj][cptj][(int)age]) );
+ 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(ficreseij,"\n");
+ 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= (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(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);
@@ -2390,7 +2970,7 @@ void evsij(char fileres[], double ***eij
}
/************ Variance ******************/
-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)
+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, char strstart[])
{
/* Variance of health expectancies */
/* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/
@@ -2441,7 +3021,9 @@ void varevsij(char optionfilefiname[], d
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobmorprev);
}
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);
+ 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++){
@@ -2451,16 +3033,21 @@ void varevsij(char optionfilefiname[], d
}
fprintf(ficresprobmorprev,"\n");
fprintf(ficgp,"\n# Routine varevsij");
+ /* fprintf(fichtm, "#Local time at start: %s", strstart);*/
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(fichtm,"\n<br>%s <br>\n",digitp);
/* } */
varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
-
- 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);
@@ -2482,8 +3069,7 @@ 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
@@ -2549,7 +3135,7 @@ 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];
@@ -2659,15 +3245,15 @@ 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); */
- fprintf(ficgp,"\n plot \"%s\" u 1:($3) not w l 1 ",subdirf(fileresprobmorprev));
- fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95\%% interval\" w l 2 ",subdirf(fileresprobmorprev));
- fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l 2 ",subdirf(fileresprobmorprev));
+ fprintf(ficgp,"\n plot \"%s\" u 1:($3) not w l lt 2 ",subdirf(fileresprobmorprev));
+ fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95\%% interval\" w l lt 3 ",subdirf(fileresprobmorprev));
+ fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l lt 3 ",subdirf(fileresprobmorprev));
fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));
fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.png\"> <br>\n", estepm,subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);
/* 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);
@@ -2688,7 +3274,7 @@ void varevsij(char optionfilefiname[], d
} /* end varevsij */
/************ Variance of prevlim ******************/
-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)
+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, char strstart[])
{
/* Variance of prevalence limit */
/* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/
@@ -2701,8 +3287,9 @@ void varprevlim(char fileres[], double *
double **gradg, **trgradg;
double age,agelim;
int theta;
-
- 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);
@@ -2771,7 +3358,7 @@ void varprevlim(char fileres[], double *
}
/************ Variance of one-step probabilities ******************/
-void varprob(char optionfilefiname[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int *Tvar, int **nbcode, int *ncodemax)
+void varprob(char optionfilefiname[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int *Tvar, int **nbcode, int *ncodemax, char strstart[])
{
int i, j=0, i1, k1, l1, t, tj;
int k2, l2, j1, z1;
@@ -2816,13 +3403,15 @@ 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);
-
+ pstamp(ficresprob);
fprintf(ficresprob,"#One-step probabilities and stand. devi in ()\n");
fprintf(ficresprob,"# Age");
+ pstamp(ficresprobcov);
fprintf(ficresprobcov,"#One-step probabilities and covariance matrix\n");
fprintf(ficresprobcov,"# Age");
+ pstamp(ficresprobcor);
fprintf(ficresprobcor,"#One-step probabilities and correlation matrix\n");
- fprintf(ficresprobcov,"# Age");
+ fprintf(ficresprobcor,"# Age");
for(i=1; i<=nlstate;i++)
@@ -2835,7 +3424,7 @@ 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);
@@ -2845,8 +3434,8 @@ void varprob(char optionfilefiname[], do
fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");
fprintf(fichtm,"\n");
- fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Computing matrix of variance-covariance of step probabilities</a></h4></li>\n",optionfilehtmcov);
- fprintf(fichtmcov,"\n<h4>Computing matrix of variance-covariance of step probabilities</h4>\n\
+ fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Matrix of variance-covariance of pairs of step probabilities (drawings)</a></h4></li>\n",optionfilehtmcov);
+ fprintf(fichtmcov,"\n<h4>Matrix of variance-covariance of pairs of step probabilities</h4>\n\
file %s<br>\n",optionfilehtmcov);
fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimated\
and drawn. It helps understanding how is the covariance between two incidences.\
@@ -2879,9 +3468,9 @@ To be simple, these graphs help to under
fprintf(ficgp, "**********\n#\n");
- fprintf(fichtm, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable ");
+ fprintf(fichtmcov, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
- fprintf(fichtm, "**********\n<hr size=\"2\" color=\"#EC5E5E\">");
+ fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">");
fprintf(ficresprobcor, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
@@ -2988,7 +3577,7 @@ 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<br>Probability with confidence intervals expressed in year<sup>-1</sup> :<a href=\"pijgr%s.png\">pijgr%s.png</A>, ",optionfilefiname,optionfilefiname);
@@ -3019,6 +3608,13 @@ To be simple, these graphs help to under
/* 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.;
+ if ((lc2 <0) || (lc1 <0) ){
+ printf("Error: One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Continuing by making them positive: WRONG RESULTS.\n", lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);
+ fprintf(ficlog,"Error: One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e\n", lc1, lc2, v1, v2, cv12);fflush(ficlog);
+ lc1=fabs(lc1);
+ lc2=fabs(lc2);
+ }
+
/* Eigen vectors */
v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12));
/*v21=sqrt(1.-v11*v11); *//* error */
@@ -3073,6 +3669,8 @@ 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);
@@ -3090,22 +3688,26 @@ void printinghtml(char fileres[], char t
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=\"%s\">%s</a> <br>\n \
- - Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n \
- - Stable prevalence in each health state: <a href=\"%s\">%s</a> <br>\n \
- - Life expectancies by age and initial health status (estepm=%2d months): \
- <a href=\"%s\">%s</a> <br>\n</li>", \
- jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileres,"p"),subdirf2(fileres,"p"),\
- stepm,subdirf2(fileres,"pij"),subdirf2(fileres,"pij"),\
- subdirf2(fileres,"pl"),subdirf2(fileres,"pl"),\
+ fprintf(fichtm,"<ul><li><a href='#firstorder'>Result files (first order: no variance)</a>\n \
+ <li><a href='#secondorder'>Result files (second order (variance)</a>\n \
+</ul>");
+ fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n \
+ - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> <br>\n ",
+ jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileres,"p"),subdirf2(fileres,"p"));
+ fprintf(fichtm,"\
+ - Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ",
+ stepm,subdirf2(fileres,"pij"),subdirf2(fileres,"pij"));
+ fprintf(fichtm,"\
+ - Period (stable) prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",
+ subdirf2(fileres,"pl"),subdirf2(fileres,"pl"));
+ fprintf(fichtm,"\
+ - (a) Life expectancies by health status at initial age, ei. (b) health expectancies by health status at initial age, eij . If one or more covariates are included, specific tables for each value of the covariate are output in sequences within the same file (estepm=%2d months): \
+ <a href=\"%s\">%s</a> <br>\n",
estepm,subdirf2(fileres,"e"),subdirf2(fileres,"e"));
+ fprintf(fichtm,"\
+ - Population projections by age and states: \
+ <a href=\"%s\">%s</a> <br>\n</li>", subdirf2(fileres,"f"),subdirf2(fileres,"f"));
fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");
@@ -3123,43 +3725,55 @@ fprintf(fichtm," \n<ul><li><b>Graphs</b>
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: %s%d1.png<br> \
-<img src=\"%s%d1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);
+ fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s%d1.png\">%s%d1.png</a><br> \
+<img src=\"%s%d1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),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: %s%d2.png<br> \
-<img src=\"%s%d2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);
- /* Stable prevalence in each health state */
+ before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: <a href=\"%s%d2.png\">%s%d2.png</a><br> \
+<img src=\"%s%d2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);
+ /* Period (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=\"%s%d%d.png\">",subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);
+ fprintf(fichtm,"<br>- Period (stable) prevalence in each health state : <a href=\"%s%d%d.png\">%s%d%d.png</a><br> \
+<img src=\"%s%d%d.png\">",subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);
}
for(cpt=1; cpt<=nlstate;cpt++) {
- fprintf(fichtm,"\n<br>- Health life expectancies by age and initial health state (%d): %s%d%d.png <br> \
-<img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);
+ fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies : <a href=\"%s%d%d.png\">%s%d%d.png</a> <br> \
+<img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);
}
- fprintf(fichtm,"\n<br>- Total life expectancy by age and \
-health expectancies in states (1) and (2): %s%d.png<br>\
-<img src=\"%s%d.png\">",subdirf2(optionfilefiname,"e"),jj1,subdirf2(optionfilefiname,"e"),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=\"%s\">%s</a> <br>\n\
- - Variance-covariance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n\
- - Correlation matrix of one-step probabilities: <a href=\"%s\">%s</a> <br>\n\
- - Variances and covariances of life expectancies by age and initial health status (estepm=%d months): <a href=\"%s\">%s</a><br>\n\
- - Health expectancies with their variances (no covariance): <a href=\"%s\">%s</a> <br>\n\
- - Standard deviation of stable prevalences: <a href=\"%s\">%s</a> <br>\n",\
- rfileres,rfileres,\
- subdirf2(fileres,"prob"),subdirf2(fileres,"prob"),\
- subdirf2(fileres,"probcov"),subdirf2(fileres,"probcov"),\
- subdirf2(fileres,"probcor"),subdirf2(fileres,"probcor"),\
- estepm, subdirf2(fileres,"v"),subdirf2(fileres,"v"),\
- subdirf2(fileres,"t"),subdirf2(fileres,"t"),\
+ fprintf(fichtm,"\
+\n<br><li><h4> <a name='secondorder'>Result files (second order: variances)</a></h4>\n\
+ - Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br>\n", rfileres,rfileres);
+
+ fprintf(fichtm," - Variance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
+ subdirf2(fileres,"prob"),subdirf2(fileres,"prob"));
+ fprintf(fichtm,"\
+ - Variance-covariance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
+ subdirf2(fileres,"probcov"),subdirf2(fileres,"probcov"));
+
+ fprintf(fichtm,"\
+ - Correlation matrix of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
+ subdirf2(fileres,"probcor"),subdirf2(fileres,"probcor"));
+ fprintf(fichtm,"\
+ - Variances and covariances of health expectancies by age and <b>initial health status</b> (cov(e<sup>ij</sup>,e<sup>kl</sup>)(estepm=%2d months): \
+ <a href=\"%s\">%s</a> <br>\n</li>",
+ estepm,subdirf2(fileres,"cve"),subdirf2(fileres,"cve"));
+ fprintf(fichtm,"\
+ - (a) Health expectancies by health status at initial age (e<sup>ij</sup>) and standard errors (in parentheses) (b) life expectancies and standard errors (e<sup>i.</sup>=e<sup>i1</sup>+e<sup>i2</sup>+...)(estepm=%2d months): \
+ <a href=\"%s\">%s</a> <br>\n</li>",
+ estepm,subdirf2(fileres,"stde"),subdirf2(fileres,"stde"));
+ fprintf(fichtm,"\
+ - Variances and covariances of health expectancies by age. Status (i) based health expectancies (in state j), e<sup>ij</sup> are weighted by the period prevalences in each state i (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): <a href=\"%s\">%s</a><br>\n",
+ estepm, subdirf2(fileres,"v"),subdirf2(fileres,"v"));
+ fprintf(fichtm,"\
+ - Total life expectancy and total health expectancies to be spent in each health state e<sup>.j</sup> with their standard errors (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): <a href=\"%s\">%s</a> <br>\n",
+ estepm, subdirf2(fileres,"t"),subdirf2(fileres,"t"));
+ fprintf(fichtm,"\
+ - Standard deviation of period (stable) prevalences: <a href=\"%s\">%s</a> <br>\n",\
subdirf2(fileres,"vpl"),subdirf2(fileres,"vpl"));
/* if(popforecast==1) fprintf(fichtm,"\n */
@@ -3168,7 +3782,8 @@ health expectancies in states (1) and (2
/* <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>");
+ fflush(fichtm);
+ fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");
m=cptcoveff;
if (cptcovn < 1) {m=1;ncodemax[1]=1;}
@@ -3184,10 +3799,16 @@ fprintf(fichtm," <ul><li><b>Graphs</b></
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
}
for(cpt=1; cpt<=nlstate;cpt++) {
- fprintf(fichtm,"<br>- Observed and period prevalence (with confident\
-interval) in state (%d): %s%d%d.png <br>\
+ fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \
+prevalence (with 95%% confidence interval) in state (%d): %s%d%d.png <br>\
<img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"v"),cpt,jj1,subdirf2(optionfilefiname,"v"),cpt,jj1);
}
+ fprintf(fichtm,"\n<br>- Total life expectancy by age and \
+health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \
+true period expectancies (those weighted with period prevalences are also\
+ drawn in addition to the population based expectancies computed using\
+ observed and cahotic prevalences: %s%d.png<br>\
+<img src=\"%s%d.png\">",subdirf2(optionfilefiname,"e"),jj1,subdirf2(optionfilefiname,"e"),jj1);
} /* end i1 */
}/* End k1 */
fprintf(fichtm,"</ul>");
@@ -3198,8 +3819,8 @@ interval) in state (%d): %s%d%d.png <br>
void printinggnuplot(char fileres[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){
char dirfileres[132],optfileres[132];
- int m,cpt,k1,i,k,j,jk,k2,k3,ij,l;
- int ng;
+ int m0,cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0;
+ int ng=0;
/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */
/* printf("Problem with file %s",optionfilegnuplot); */
/* fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */
@@ -3225,19 +3846,19 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u
for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
- else fprintf(ficgp," \%%*lf (\%%*lf)");
+ else fprintf(ficgp," \%%*lf (\%%*lf)");
}
- fprintf(ficgp,"\" t\"Stable prevalence\" w l 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);
+ fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 1,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),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,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);
+ fprintf(ficgp,"\" t\"95\%% CI\" w l lt 2,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);
for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%*lf (\%%*lf)");
}
- fprintf(ficgp,"\" t\"\" w l 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));
+ fprintf(ficgp,"\" t\"\" w l lt 2,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l lt 3",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));
}
}
/*2 eme*/
@@ -3260,14 +3881,14 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u
if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%*lf (\%%*lf)");
}
- fprintf(ficgp,"\" t\"\" w l 0,");
+ fprintf(ficgp,"\" t\"\" w l lt 1,");
fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",subdirf2(fileres,"t"),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,");
+ if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 1");
+ else fprintf(ficgp,"\" t\"\" w l lt 1,");
}
}
@@ -3275,7 +3896,8 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u
for (k1=1; k1<= m ; k1 ++) {
for (cpt=1; cpt<= nlstate ; cpt ++) {
- k=2+nlstate*(2*cpt-2);
+ /* k=2+nlstate*(2*cpt-2); */
+ k=2+(nlstate+1)*(cpt-1);
fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);
fprintf(ficgp,"set ter png small\n\
set size 0.65,0.65\n\
@@ -3289,9 +3911,11 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u
*/
for (i=1; i< nlstate ; i ++) {
- fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);
+ fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+i,cpt,i+1);
+ /* fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);*/
}
+ fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+nlstate,cpt);
}
}
@@ -3349,9 +3973,9 @@ plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1
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;
+ ij=1;/* To be checked else nbcode[0][0] wrong */
for(j=3; j <=ncovmodel; j++) {
- if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {
+ if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { /* Bug valgrind */
fprintf(ficgp,"+p%d*%d*x",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);
ij++;
}
@@ -3842,9 +4466,529 @@ void prwizard(int ncovmodel, int nlstate
} /* end k*/
} /*end j */
} /* end i */
- }
+ } /* end itimes */
} /* end of prwizard */
+/******************* Gompertz Likelihood ******************************/
+double gompertz(double x[])
+{
+ double A,B,L=0.0,sump=0.,num=0.;
+ int i,n=0; /* n is the size of the sample */
+
+ for (i=0;i<=imx-1 ; i++) {
+ sump=sump+weight[i];
+ /* sump=sump+1;*/
+ num=num+1;
+ }
+
+
+ /* for (i=0; i<=imx; i++)
+ if (wav[i]>0) printf("i=%d ageex=%lf agecens=%lf agedc=%lf cens=%d %d\n" ,i,ageexmed[i],agecens[i],agedc[i],cens[i],wav[i]);*/
+
+ for (i=1;i<=imx ; i++)
+ {
+ if (cens[i] == 1 && wav[i]>1)
+ A=-x[1]/(x[2])*(exp(x[2]*(agecens[i]-agegomp))-exp(x[2]*(ageexmed[i]-agegomp)));
+
+ if (cens[i] == 0 && wav[i]>1)
+ A=-x[1]/(x[2])*(exp(x[2]*(agedc[i]-agegomp))-exp(x[2]*(ageexmed[i]-agegomp)))
+ +log(x[1]/YEARM)+x[2]*(agedc[i]-agegomp)+log(YEARM);
+
+ /*if (wav[i] > 1 && agecens[i] > 15) {*/ /* ??? */
+ if (wav[i] > 1 ) { /* ??? */
+ L=L+A*weight[i];
+ /* printf("\ni=%d A=%f L=%lf x[1]=%lf x[2]=%lf ageex=%lf agecens=%lf cens=%d agedc=%lf weight=%lf\n",i,A,L,x[1],x[2],ageexmed[i]*12,agecens[i]*12,cens[i],agedc[i]*12,weight[i]);*/
+ }
+ }
+
+ /*printf("x1=%2.9f x2=%2.9f x3=%2.9f L=%f\n",x[1],x[2],x[3],L);*/
+
+ return -2*L*num/sump;
+}
+
+#ifdef GSL
+/******************* Gompertz_f Likelihood ******************************/
+double gompertz_f(const gsl_vector *v, void *params)
+{
+ double A,B,LL=0.0,sump=0.,num=0.;
+ double *x= (double *) v->data;
+ int i,n=0; /* n is the size of the sample */
+
+ for (i=0;i<=imx-1 ; i++) {
+ sump=sump+weight[i];
+ /* sump=sump+1;*/
+ num=num+1;
+ }
+
+
+ /* for (i=0; i<=imx; i++)
+ if (wav[i]>0) printf("i=%d ageex=%lf agecens=%lf agedc=%lf cens=%d %d\n" ,i,ageexmed[i],agecens[i],agedc[i],cens[i],wav[i]);*/
+ printf("x[0]=%lf x[1]=%lf\n",x[0],x[1]);
+ for (i=1;i<=imx ; i++)
+ {
+ if (cens[i] == 1 && wav[i]>1)
+ A=-x[0]/(x[1])*(exp(x[1]*(agecens[i]-agegomp))-exp(x[1]*(ageexmed[i]-agegomp)));
+
+ if (cens[i] == 0 && wav[i]>1)
+ A=-x[0]/(x[1])*(exp(x[1]*(agedc[i]-agegomp))-exp(x[1]*(ageexmed[i]-agegomp)))
+ +log(x[0]/YEARM)+x[1]*(agedc[i]-agegomp)+log(YEARM);
+
+ /*if (wav[i] > 1 && agecens[i] > 15) {*/ /* ??? */
+ if (wav[i] > 1 ) { /* ??? */
+ LL=LL+A*weight[i];
+ /* printf("\ni=%d A=%f L=%lf x[1]=%lf x[2]=%lf ageex=%lf agecens=%lf cens=%d agedc=%lf weight=%lf\n",i,A,L,x[1],x[2],ageexmed[i]*12,agecens[i]*12,cens[i],agedc[i]*12,weight[i]);*/
+ }
+ }
+
+ /*printf("x1=%2.9f x2=%2.9f x3=%2.9f L=%f\n",x[1],x[2],x[3],L);*/
+ printf("x[0]=%lf x[1]=%lf -2*LL*num/sump=%lf\n",x[0],x[1],-2*LL*num/sump);
+
+ return -2*LL*num/sump;
+}
+#endif
+
+/******************* Printing html file ***********/
+void printinghtmlmort(char fileres[], char title[], char datafile[], int firstpass, \
+ int lastpass, int stepm, int weightopt, char model[],\
+ int imx, double p[],double **matcov,double agemortsup){
+ int i,k;
+
+ fprintf(fichtm,"<ul><li><h4>Result files </h4>\n Force of mortality. Parameters of the Gompertz fit (with confidence interval in brackets):<br>");
+ fprintf(fichtm," mu(age) =%lf*exp(%lf*(age-%d)) per year<br><br>",p[1],p[2],agegomp);
+ for (i=1;i<=2;i++)
+ fprintf(fichtm," p[%d] = %lf [%f ; %f]<br>\n",i,p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i]));
+ fprintf(fichtm,"<br><br><img src=\"graphmort.png\">");
+ fprintf(fichtm,"</ul>");
+
+fprintf(fichtm,"<ul><li><h4>Life table</h4>\n <br>");
+
+ fprintf(fichtm,"\nAge l<inf>x</inf> q<inf>x</inf> d(x,x+1) L<inf>x</inf> T<inf>x</inf> e<infx</inf><br>");
+
+ for (k=agegomp;k<(agemortsup-2);k++)
+ fprintf(fichtm,"%d %.0lf %lf %.0lf %.0lf %.0lf %lf<br>\n",k,lsurv[k],p[1]*exp(p[2]*(k-agegomp)),(p[1]*exp(p[2]*(k-agegomp)))*lsurv[k],lpop[k],tpop[k],tpop[k]/lsurv[k]);
+
+
+ fflush(fichtm);
+}
+
+/******************* Gnuplot file **************/
+void printinggnuplotmort(char fileres[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){
+
+ char dirfileres[132],optfileres[132];
+ int m,cpt,k1,i,k,j,jk,k2,k3,ij,l;
+ int ng;
+
+
+ /*#ifdef windows */
+ fprintf(ficgp,"cd \"%s\" \n",pathc);
+ /*#endif */
+
+
+ strcpy(dirfileres,optionfilefiname);
+ strcpy(optfileres,"vpl");
+ fprintf(ficgp,"set out \"graphmort.png\"\n ");
+ fprintf(ficgp,"set xlabel \"Age\"\n set ylabel \"Force of mortality (per year)\" \n ");
+ fprintf(ficgp, "set ter png small\n set log y\n");
+ fprintf(ficgp, "set size 0.65,0.65\n");
+ fprintf(ficgp,"plot [%d:100] %lf*exp(%lf*(x-%d))",agegomp,p[1],p[2],agegomp);
+
+}
+
+int readdata(char datafile[], int firstobs, int lastobs, int *imax)
+{
+
+ /*-------- data file ----------*/
+ FILE *fic;
+ char dummy[]=" ";
+ int i, j, n;
+ int linei, month, year,iout;
+ char line[MAXLINE], linetmp[MAXLINE];
+ char stra[80], strb[80];
+ char *stratrunc;
+ int lstra;
+
+
+ if((fic=fopen(datafile,"r"))==NULL) {
+ printf("Problem while opening datafile: %s\n", datafile);return 1;
+ fprintf(ficlog,"Problem while opening datafile: %s\n", datafile);return 1;
+ }
+
+ i=1;
+ linei=0;
+ while ((fgets(line, MAXLINE, fic) != NULL) &&((i >= firstobs) && (i <=lastobs))) {
+ linei=linei+1;
+ for(j=strlen(line); j>=0;j--){ /* Untabifies line */
+ if(line[j] == '\t')
+ line[j] = ' ';
+ }
+ for(j=strlen(line)-1; (line[j]==' ')||(line[j]==10)||(line[j]==13);j--){
+ ;
+ };
+ line[j+1]=0; /* Trims blanks at end of line */
+ if(line[0]=='#'){
+ fprintf(ficlog,"Comment line\n%s\n",line);
+ printf("Comment line\n%s\n",line);
+ continue;
+ }
+ trimbb(linetmp,line); /* Trims multiple blanks in line */
+ for (j=0; line[j]!='\0';j++){
+ line[j]=linetmp[j];
+ }
+
+
+ for (j=maxwav;j>=1;j--){
+ cutv(stra, strb, line, ' ');
+ if(strb[0]=='.') { /* Missing status */
+ lval=-1;
+ }else{
+ errno=0;
+ lval=strtol(strb,&endptr,10);
+ /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/
+ if( strb[0]=='\0' || (*endptr != '\0')){
+ printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);
+ fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog);
+ return 1;
+ }
+ }
+ s[j][i]=lval;
+
+ strcpy(line,stra);
+ cutv(stra, strb,line,' ');
+ if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
+ }
+ else if(iout=sscanf(strb,"%s.") != 0){
+ month=99;
+ year=9999;
+ }else{
+ printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);
+ fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);fflush(ficlog);
+ return 1;
+ }
+ anint[j][i]= (double) year;
+ mint[j][i]= (double)month;
+ strcpy(line,stra);
+ } /* ENd Waves */
+
+ cutv(stra, strb,line,' ');
+ if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
+ }
+ else if(iout=sscanf(strb,"%s.",dummy) != 0){
+ month=99;
+ year=9999;
+ }else{
+ printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);
+ fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog);
+ return 1;
+ }
+ andc[i]=(double) year;
+ moisdc[i]=(double) month;
+ strcpy(line,stra);
+
+ cutv(stra, strb,line,' ');
+ if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
+ }
+ else if(iout=sscanf(strb,"%s.") != 0){
+ month=99;
+ year=9999;
+ }else{
+ printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);
+ fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog);
+ return 1;
+ }
+ if (year==9999) {
+ printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);
+ fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);fflush(ficlog);
+ return 1;
+
+ }
+ annais[i]=(double)(year);
+ moisnais[i]=(double)(month);
+ strcpy(line,stra);
+
+ cutv(stra, strb,line,' ');
+ errno=0;
+ dval=strtod(strb,&endptr);
+ if( strb[0]=='\0' || (*endptr != '\0')){
+ printf("Error reading data around '%f' at line number %d, \"%s\" for individual %d\nShould be a weight. Exiting.\n",dval, i,line,linei);
+ fprintf(ficlog,"Error reading data around '%f' at line number %d, \"%s\" for individual %d\nShould be a weight. Exiting.\n",dval, i,line,linei);
+ fflush(ficlog);
+ return 1;
+ }
+ weight[i]=dval;
+ strcpy(line,stra);
+
+ for (j=ncovcol;j>=1;j--){
+ cutv(stra, strb,line,' ');
+ if(strb[0]=='.') { /* Missing status */
+ lval=-1;
+ }else{
+ errno=0;
+ lval=strtol(strb,&endptr,10);
+ if( strb[0]=='\0' || (*endptr != '\0')){
+ printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);
+ fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);fflush(ficlog);
+ return 1;
+ }
+ }
+ if(lval <-1 || lval >1){
+ printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \
+ Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \
+ for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \
+ For example, for multinomial values like 1, 2 and 3,\n \
+ build V1=0 V2=0 for the reference value (1),\n \
+ V1=1 V2=0 for (2) \n \
+ and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \
+ output of IMaCh is often meaningless.\n \
+ Exiting.\n",lval,linei, i,line,j);
+ fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \
+ Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \
+ for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \
+ For example, for multinomial values like 1, 2 and 3,\n \
+ build V1=0 V2=0 for the reference value (1),\n \
+ V1=1 V2=0 for (2) \n \
+ and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \
+ output of IMaCh is often meaningless.\n \
+ Exiting.\n",lval,linei, i,line,j);fflush(ficlog);
+ return 1;
+ }
+ covar[j][i]=(double)(lval);
+ strcpy(line,stra);
+ }
+ lstra=strlen(stra);
+
+ if(lstra > 9){ /* More than 2**32 or max of what printf can write with %ld */
+ stratrunc = &(stra[lstra-9]);
+ num[i]=atol(stratrunc);
+ }
+ else
+ num[i]=atol(stra);
+ /*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){
+ printf("%ld %.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;
+ } /* End loop reading data */
+
+ *imax=i-1; /* Number of individuals */
+ fclose(fic);
+
+ return (0);
+ endread:
+ printf("Exiting readdata: ");
+ fclose(fic);
+ return (1);
+
+
+
+}
+
+int decodemodel ( char model[], int lastobs)
+{
+ int i, j, k;
+ int i1, j1, k1, k2;
+ char modelsav[80];
+ char stra[80], strb[80], strc[80], strd[80],stre[80];
+
+ 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; /* Number of covariates V1+V2*age+V3 =>(2 plus signs) + 1=3
+ but the covariates which are product must be computed and stored. */
+ cptcovprod=j1; /*Number of products V1*V2 +v3*age = 2 */
+
+ strcpy(modelsav,model);
+ if (strstr(model,"AGE") !=0){
+ printf("Error. AGE must be in lower case 'age' model=%s ",model);
+ fprintf(ficlog,"Error. AGE must be in lower case model=%s ",model);fflush(ficlog);
+ return 1;
+ }
+ if (strstr(model,"v") !=0){
+ printf("Error. 'v' must be in upper case 'V' model=%s ",model);
+ fprintf(ficlog,"Error. 'v' must be in upper case model=%s ",model);fflush(ficlog);
+ return 1;
+ }
+
+ /* This loop fills the array Tvar from the string 'model'.*/
+ /* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */
+ /* modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4 */
+ /* k=4 (age*V3) Tvar[k=4]= 3 (from V3) Tage[cptcovage=1]=4 */
+ /* k=3 V4 Tvar[k=3]= 4 (from V4) */
+ /* k=2 V1 Tvar[k=2]= 1 (from V1) */
+ /* k=1 Tvar[1]=2 (from V2) */
+ /* k=5 Tvar[5] */
+ /* for (k=1; k<=cptcovn;k++) { */
+ /* cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; */
+ /* } */
+ /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */
+ for(k=cptcovn; k>=1;k--){
+ cutv(stra,strb,modelsav,'+'); /* keeps in strb after the first '+'
+ modelsav==V2+V1+V4+V3*age strb=V3*age stra=V2+V1+V4
+ */
+ 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 V2+V1+V4+V3*age strb=V3*age */
+ cutv(strd,strc,strb,'*'); /* strd*strc Vm*Vn: strb=V3*age strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */
+ if (strcmp(strc,"age")==0) { /* Vn*age */
+ cptcovprod--;
+ cutv(strb,stre,strd,'V'); /* stre="V3" */
+ Tvar[k]=atoi(stre); /* V2+V1+V4+V3*age Tvar[4]=2 ; V1+V2*age Tvar[2]=2 */
+ cptcovage++; /* Sums the number of covariates which include age as a product */
+ Tage[cptcovage]=k; /* Tage[1] = 4 */
+ /*printf("stre=%s ", stre);*/
+ } else if (strcmp(strd,"age")==0) { /* or age*Vn */
+ cptcovprod--;
+ cutv(strb,stre,strc,'V');
+ Tvar[k]=atoi(stre);
+ cptcovage++;
+ Tage[cptcovage]=k;
+ } else { /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2 strb=V3*V2*/
+ /* loops on k1=1 (V3*V2) and k1=2 V4*V3 */
+ cutv(strb,stre,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/
+ Tvar[k]=ncovcol+k1; /* For model-covariate k tells which data-covariate to use but
+ because this model-covariate is a construction we invent a new column
+ ncovcol + k1
+ If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2
+ Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */
+ cutv(strb,strc,strd,'V'); /* strd was Vm, strc is m */
+ Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 */
+ Tvard[k1][1]=atoi(strc); /* m 1 for V1*/
+ Tvard[k1][2]=atoi(stre); /* n 4 for V4*/
+ Tvar[cptcovn+k2]=Tvard[k1][1]; /* Tvar[(cptcovn=4+k2=1)=5]= 1 (V1) */
+ Tvar[cptcovn+k2+1]=Tvard[k1][2]; /* Tvar[(cptcovn=4+(k2=1)+1)=6]= 4 (V4) */
+ for (i=1; i<=lastobs;i++){
+ /* Computes the new covariate which is a product of
+ covar[n][i]* covar[m][i] and stores it at ncovol+k1 */
+ covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i];
+ }
+ k1++;
+ k2=k2+2;
+ } /* End age is not in the model */
+ } /* End if model includes a product */
+ else { /* no more sum */
+ /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/
+ /* scanf("%d",i);*/
+ cutv(strd,strc,strb,'V');
+ Tvar[k]=atoi(strc);
+ }
+ strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */
+ /*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);*/
+
+
+ return (0); /* with covar[new additional covariate if product] and Tage if age */
+ endread:
+ printf("Exiting decodemodel: ");
+ return (1);
+}
+
+calandcheckages(int imx, int maxwav, double *agemin, double *agemax, int *nberr, int *nbwarn )
+{
+ int i, m;
+
+ for (i=1; i<=imx; i++) {
+ for(m=2; (m<= maxwav); m++) {
+ if (((int)mint[m][i]== 99) && (s[m][i] <= nlstate)){
+ anint[m][i]=9999;
+ s[m][i]=-1;
+ }
+ if((int)moisdc[i]==99 && (int)andc[i]==9999 && s[m][i]>nlstate){
+ *nberr++;
+ printf("Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
+ fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
+ s[m][i]=-1;
+ }
+ if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){
+ *nberr++;
+ printf("Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]);
+ fprintf(ficlog,"Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]);
+ s[m][i]=-1; /* We prefer to skip it (and to skip it in version 0.8a1 too */
+ }
+ }
+ }
+
+ 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 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5){
+ if (s[m][i] >= nlstate+1) {
+ if(agedc[i]>0)
+ if((int)moisdc[i]!=99 && (int)andc[i]!=9999)
+ agev[m][i]=agedc[i];
+ /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/
+ else {
+ if ((int)andc[i]!=9999){
+ nbwarn++;
+ printf("Warning negative age at death: %ld line:%d\n",num[i],i);
+ fprintf(ficlog,"Warning negative age at death: %ld 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((int)mint[m][i]==99 || (int)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(" Max anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.2f\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)) {
+ *nberr++;
+ 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);
+ return 1;
+ }
+ }
+ }
+
+ /*for (i=1; i<=imx; i++){
+ for (m=firstpass; (m<lastpass); m++){
+ printf("%ld %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);
+
+ return (0);
+ endread:
+ printf("Exiting calandcheckages: ");
+ return (1);
+}
/***********************************************/
@@ -3853,12 +4997,26 @@ void prwizard(int ncovmodel, int nlstate
int main(int argc, char *argv[])
{
+#ifdef GSL
+ const gsl_multimin_fminimizer_type *T;
+ size_t iteri = 0, it;
+ int rval = GSL_CONTINUE;
+ int status = GSL_SUCCESS;
+ double ssval;
+#endif
int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav);
int i,j, k, n=MAXN,iter,m,size=100,cptcode, cptcod;
- int jj, imk;
+ int linei, month, year,iout;
+ int jj, ll, li, lj, lk, imk;
int numlinepar=0; /* Current linenumber of parameter file */
+ int itimes;
+ int NDIM=2;
+ int vpopbased=0;
+
+ char ca[32], cb[32], cc[32];
/* FILE *fichtm; *//* Html File */
/* FILE *ficgp;*/ /*Gnuplot File */
+ struct stat info;
double agedeb, agefin,hf;
double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;
@@ -3871,23 +5029,25 @@ int main(int argc, char *argv[])
int *indx;
char line[MAXLINE], linepar[MAXLINE];
char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE],model[MAXLINE];
- char pathr[MAXLINE];
+ char pathr[MAXLINE], pathimach[MAXLINE];
+ char **bp, *tok, *val; /* pathtot */
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 i1,j1, jk,aa,bb, stepsize, ij;
+ int jnais,jdc,jint4,jint1,jint2,jint3,*tab;
int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */
int mobilav=0,popforecast=0;
int hstepm, nhstepm;
+ int agemortsup;
+ float sumlpop=0.;
double jprev1=1, mprev1=1,anprev1=2000,jprev2=1, mprev2=1,anprev2=2000;
double jpyram=1, mpyram=1,anpyram=2000,jpyram1=1, mpyram1=1,anpyram1=2000;
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 */
@@ -3898,19 +5058,23 @@ int main(int argc, char *argv[])
double *epj, vepp;
double kk1, kk2;
double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;
-
+ double **ximort;
char *alph[]={"a","a","b","c","d","e"}, str[4];
-
+ int *dcwave;
char z[1]="c", occ;
- char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];
- char strstart[80], *strt, strtend[80];
- char *stratrunc;
- int lstra;
+ /*char *strt;*/
+ char strtend[80];
long total_usecs;
+/* setlocale (LC_ALL, ""); */
+/* bindtextdomain (PACKAGE, LOCALEDIR); */
+/* textdomain (PACKAGE); */
+/* setlocale (LC_CTYPE, ""); */
+/* setlocale (LC_MESSAGES, ""); */
+
/* gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */
(void) gettimeofday(&start_time,&tzp);
curr_time=start_time;
@@ -3941,7 +5105,17 @@ int main(int argc, char *argv[])
printf("\n%s\n%s",version,fullversion);
if(argc <=1){
printf("\nEnter the parameter file name: ");
- scanf("%s",pathtot);
+ fgets(pathr,FILENAMELENGTH,stdin);
+ i=strlen(pathr);
+ if(pathr[i-1]=='\n')
+ pathr[i-1]='\0';
+ for (tok = pathr; tok != NULL; ){
+ printf("Pathr |%s|\n",pathr);
+ while ((val = strsep(&tok, "\"" )) != NULL && *val == '\0');
+ printf("val= |%s| pathr=%s\n",val,pathr);
+ strcpy (pathtot, val);
+ if(pathr[0] == '\0') break; /* Dirty */
+ }
}
else{
strcpy(pathtot,argv[1]);
@@ -3951,9 +5125,17 @@ int main(int argc, char *argv[])
printf("pathtot=%s, path=%s, optionfile=%s\n",pathtot,path,optionfile);*/
/* cutv(path,optionfile,pathtot,'\\');*/
+ /* Split argv[0], imach program to get pathimach */
+ printf("\nargv[0]=%s argv[1]=%s, \n",argv[0],argv[1]);
+ split(argv[0],pathimach,optionfile,optionfilext,optionfilefiname);
+ printf("\nargv[0]=%s pathimach=%s, \noptionfile=%s \noptionfilext=%s \noptionfilefiname=%s\n",argv[0],pathimach,optionfile,optionfilext,optionfilefiname);
+ /* strcpy(pathimach,argv[0]); */
+ /* Split argv[1]=pathtot, parameter file name to get path, optionfile, extension and name */
split(pathtot,path,optionfile,optionfilext,optionfilefiname);
- printf("pathtot=%s,\npath=%s,\noptionfile=%s \noptionfilext=%s \noptionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);
- chdir(path);
+ printf("\npathtot=%s,\npath=%s,\noptionfile=%s \noptionfilext=%s \noptionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);
+ chdir(path); /* Can be a relative path */
+ if(getcwd(pathcd,MAXLINE) > 0) /* So pathcd is the full path */
+ printf("Current directory %s!\n",pathcd);
strcpy(command,"mkdir ");
strcat(command,optionfilefiname);
if((outcmd=system(command)) != 0){
@@ -3977,12 +5159,12 @@ int main(int argc, char *argv[])
}
fprintf(ficlog,"Log filename:%s\n",filelog);
fprintf(ficlog,"\n%s\n%s",version,fullversion);
- fprintf(ficlog,"\nEnter the parameter file name: ");
- fprintf(ficlog,"pathtot=%s\n\
+ fprintf(ficlog,"\nEnter the parameter file name: \n");
+ fprintf(ficlog,"pathimach=%s\npathtot=%s\n\
path=%s \n\
optionfile=%s\n\
optionfilext=%s\n\
- optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);
+ optionfilefiname=%s\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);
printf("Local time (at start):%s",strstart);
fprintf(ficlog,"Local time (at start): %s",strstart);
@@ -4021,7 +5203,7 @@ int main(int argc, char *argv[])
ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);
numlinepar++;
- puts(line);
+ fputs(line,stdout);
fputs(line,ficparo);
fputs(line,ficlog);
}
@@ -4037,7 +5219,8 @@ int main(int argc, char *argv[])
ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);
numlinepar++;
- puts(line);
+ fputs(line, stdout);
+ //puts(line);
fputs(line,ficparo);
fputs(line,ficlog);
}
@@ -4045,177 +5228,197 @@ int main(int argc, char *argv[])
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 */
+ cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn*/
+ /* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5
+ v1+v2*age+v2*v3 makes cptcovn = 3
+ */
+ if (strlen(model)>1)
+ cptcovn=nbocc(model,'+')+1;
+ /* ncovprod */
+ ncovmodel=2+cptcovn; /*Number of variables including intercept and age = cptcovn + intercept + age : v1+v2+v3+v2*v4+v5*age makes 5+2=7*/
nvar=ncovmodel-1; /* Suppressing age as a basic covariate */
-
+ nforce= (nlstate+ndeath-1)*nlstate; /* Number of forces ij from state i to j */
+ npar= nforce*ncovmodel; /* Number of parameters like aij*/
+ if(npar >MAXPARM || nlstate >NLSTATEMAX || ndeath >NDEATHMAX || ncovmodel>NCOVMAX){
+ printf("Too complex model for current IMaCh: npar=(nlstate+ndeath-1)*nlstate*ncovmodel=%d >= %d(MAXPARM) or nlstate=%d >= %d(NLSTATEMAX) or ndeath=%d >= %d(NDEATHMAX) or ncovmodel=(k+age+#of+signs)=%d(NCOVMAX) >= %d\n",npar, MAXPARM, nlstate, NLSTATEMAX, ndeath, NDEATHMAX, ncovmodel, NCOVMAX);
+ fprintf(ficlog,"Too complex model for current IMaCh: %d >=%d(MAXPARM) or %d >=%d(NLSTATEMAX) or %d >=%d(NDEATHMAX) or %d(NCOVMAX) >=%d\n",npar, MAXPARM, nlstate, NLSTATEMAX, ndeath, NDEATHMAX, ncovmodel, NCOVMAX);
+ fflush(stdout);
+ fclose (ficlog);
+ goto end;
+ }
+ delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
+ delti=delti3[1][1];
+ /*delti=vector(1,npar); *//* Scale of each paramater (output from hesscov)*/
if(mle==-1){ /* Print a wizard for help writing covariance matrix */
prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
printf(" You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
fprintf(ficlog," You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
+ free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
fclose (ficparo);
fclose (ficlog);
+ goto end;
exit(0);
}
- /* Read guess parameters */
- /* Reads comments: lines beginning with '#' */
- while((c=getc(ficpar))=='#' && c!= EOF){
- ungetc(c,ficpar);
- fgets(line, MAXLINE, ficpar);
- numlinepar++;
- puts(line);
- fputs(line,ficparo);
- fputs(line,ficlog);
+ else if(mle==-3) {
+ prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
+ printf(" You choose mle=-3, look at file %s for a template of covariance matrix \n",filereso);
+ fprintf(ficlog," You choose mle=-3, look at file %s for a template of covariance matrix \n",filereso);
+ param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
+ matcov=matrix(1,npar,1,npar);
}
- ungetc(c,ficpar);
-
- param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
- for(i=1; i <=nlstate; i++){
- j=0;
- for(jj=1; jj <=nlstate+ndeath; jj++){
- if(jj==i) continue;
- j++;
- fscanf(ficpar,"%1d%1d",&i1,&j1);
- if ((i1 != i) && (j1 != j)){
- printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);
- exit(1);
- }
- 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");
+ else{
+ /* Read guess parameters */
+ /* Reads comments: lines beginning with '#' */
+ while((c=getc(ficpar))=='#' && c!= EOF){
+ ungetc(c,ficpar);
+ fgets(line, MAXLINE, ficpar);
numlinepar++;
- if(mle==1)
- printf("\n");
- fprintf(ficlog,"\n");
- fprintf(ficparo,"\n");
+ fputs(line,stdout);
+ fputs(line,ficparo);
+ fputs(line,ficlog);
}
- }
- fflush(ficlog);
-
- npar= (nlstate+ndeath-1)*nlstate*ncovmodel; /* Number of parameters*/
+ ungetc(c,ficpar);
+
+ param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
+ for(i=1; i <=nlstate; i++){
+ j=0;
+ for(jj=1; jj <=nlstate+ndeath; jj++){
+ if(jj==i) continue;
+ j++;
+ fscanf(ficpar,"%1d%1d",&i1,&j1);
+ if ((i1 != i) && (j1 != j)){
+ printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \
+It might be a problem of design; if ncovcol and the model are correct\n \
+run imach with mle=-1 to get a correct template of the parameter file.\n",numlinepar, i,j, i1, j1);
+ exit(1);
+ }
+ 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");
+ numlinepar++;
+ if(mle==1)
+ printf("\n");
+ fprintf(ficlog,"\n");
+ fprintf(ficparo,"\n");
+ }
+ }
+ fflush(ficlog);
- p=param[1][1];
-
- /* Reads comments: lines beginning with '#' */
- while((c=getc(ficpar))=='#' && c!= EOF){
+ p=param[1][1];
+
+ /* Reads comments: lines beginning with '#' */
+ while((c=getc(ficpar))=='#' && c!= EOF){
+ ungetc(c,ficpar);
+ fgets(line, MAXLINE, ficpar);
+ numlinepar++;
+ fputs(line,stdout);
+ fputs(line,ficparo);
+ fputs(line,ficlog);
+ }
ungetc(c,ficpar);
- fgets(line, MAXLINE, ficpar);
- numlinepar++;
- puts(line);
- fputs(line,ficparo);
- fputs(line,ficlog);
- }
- 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);
- if ((i1-i)*(j1-j)!=0){
- printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);
- exit(1);
- }
- printf("%1d%1d",i,j);
- fprintf(ficparo,"%1d%1d",i1,j1);
- fprintf(ficlog,"%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]);
- fprintf(ficlog," %le",delti3[i][j][k]);
+ for(i=1; i <=nlstate; i++){
+ for(j=1; j <=nlstate+ndeath-1; j++){
+ fscanf(ficpar,"%1d%1d",&i1,&j1);
+ if ((i1-i)*(j1-j)!=0){
+ printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);
+ exit(1);
+ }
+ printf("%1d%1d",i,j);
+ fprintf(ficparo,"%1d%1d",i1,j1);
+ fprintf(ficlog,"%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]);
+ fprintf(ficlog," %le",delti3[i][j][k]);
+ }
+ fscanf(ficpar,"\n");
+ numlinepar++;
+ printf("\n");
+ fprintf(ficparo,"\n");
+ fprintf(ficlog,"\n");
}
- fscanf(ficpar,"\n");
- numlinepar++;
- printf("\n");
- fprintf(ficparo,"\n");
- fprintf(ficlog,"\n");
}
- }
- fflush(ficlog);
+ fflush(ficlog);
- delti=delti3[1][1];
+ delti=delti3[1][1];
- /* free_ma3x(delti3,1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); */ /* Hasn't to to freed here otherwise delti is no more allocated */
+ /* free_ma3x(delti3,1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); */ /* Hasn't to to freed here otherwise delti is no more allocated */
- /* Reads comments: lines beginning with '#' */
- while((c=getc(ficpar))=='#' && c!= EOF){
+ /* Reads comments: lines beginning with '#' */
+ while((c=getc(ficpar))=='#' && c!= EOF){
+ ungetc(c,ficpar);
+ fgets(line, MAXLINE, ficpar);
+ numlinepar++;
+ fputs(line,stdout);
+ fputs(line,ficparo);
+ fputs(line,ficlog);
+ }
ungetc(c,ficpar);
- fgets(line, MAXLINE, ficpar);
- numlinepar++;
- puts(line);
- fputs(line,ficparo);
- fputs(line,ficlog);
- }
- 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]);
+ matcov=matrix(1,npar,1,npar);
+ for(i=1; i <=npar; i++)
+ for(j=1; j <=npar; j++) matcov[i][j]=0.;
+
+ 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]);
+ fprintf(ficparo," %.5le",matcov[i][j]);
}
- fprintf(ficlog," %.5le",matcov[i][j]);
- fprintf(ficparo," %.5le",matcov[i][j]);
+ fscanf(ficpar,"\n");
+ numlinepar++;
+ if(mle==1)
+ printf("\n");
+ fprintf(ficlog,"\n");
+ fprintf(ficparo,"\n");
}
- fscanf(ficpar,"\n");
- numlinepar++;
+ 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");
- 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");
-
- fflush(ficlog);
-
- /*-------- 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;
- }
+ fflush(ficlog);
+
+ /*-------- Rewriting parameter 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);
+ } /* End of mle != -3 */
+
n= lastobs;
- severity = vector(1,maxwav);
- outcome=imatrix(1,maxwav+1,1,n);
num=lvector(1,n);
moisnais=vector(1,n);
annais=vector(1,n);
@@ -4227,241 +5430,65 @@ int main(int argc, char *argv[])
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);
+ s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */
tab=ivector(1,NCOVMAX);
- ncodemax=ivector(1,8);
+ ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */
- 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);
- }
- lstra=strlen(stra);
- if(lstra > 9){ /* More than 2**32 or max of what printf can write with %ld */
- stratrunc = &(stra[lstra-9]);
- num[i]=atol(stratrunc);
- }
- else
- num[i]=atol(stra);
-
- /*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){
- printf("%ld %.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("%ld %.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;*/
+ /* Reads data from file datafile */
+ if (readdata(datafile, firstobs, lastobs, &imx)==1)
+ goto end;
- /* 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);
+ /* Calculation of the number of parameters from char model */
+ /* modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4
+ k=4 (age*V3) Tvar[k=4]= 3 (from V3) Tag[cptcovage=1]=4
+ k=3 V4 Tvar[k=3]= 4 (from V4)
+ k=2 V1 Tvar[k=2]= 1 (from V1)
+ k=1 Tvar[1]=2 (from V2)
+ */
+ Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */
+ /* V2+V1+V4+age*V3 is a model with 4 covariates (3 plus signs).
+ For each model-covariate stores the data-covariate id. Tvar[1]=2, Tvar[2]=1, Tvar[3]=4,
+ Tvar[4=age*V3] is 3 and 'age' is recorded in Tage.
+ */
+ /* For model-covariate k tells which data-covariate to use but
+ because this model-covariate is a construction we invent a new column
+ ncovcol + k1
+ If already ncovcol=4 and model=V2+V1+V1*V4+age*V3
+ Tvar[3=V1*V4]=4+1 etc */
+ Tprod=ivector(1,15); /* Gives the position of a product */
+ /* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3
+ if V2+V1+V1*V4+age*V3+V3*V2 TProd[k1=2]=5 (V3*V2)
+ */
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'.*/
+ Tvard=imatrix(1,15,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm
+ * For V3*V2 (in V2+V1+V1*V4+age*V3+V3*V2), V3*V2 position is 2nd.
+ * Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */
+ Tage=ivector(1,15); /* Gives the covariate id of covariates associated with age: V2 + V1 + age*V4 + V3*age
+ 4 covariates (3 plus signs)
+ Tage[1=V3*age]= 4; Tage[2=age*V4] = 3
+ */
- 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(decodemodel(model, lastobs) == 1)
+ goto end;
+ if((double)(lastobs-imx)/(double)imx > 1.10){
+ nbwarn++;
+ printf("Warning: The value of parameter lastobs=%d is big compared to the \n effective number of cases imx=%d, please adjust, \n otherwise you are allocating more memory than necessary.\n",lastobs, imx);
+ fprintf(ficlog,"Warning: The value of parameter lastobs=%d is big compared to the \n effective number of cases imx=%d, please adjust, \n otherwise you are allocating more memory than necessary.\n",lastobs, imx);
+ }
/* if(mle==1){*/
- if (weightopt != 1) { /* Maximisation without weights*/
- for(i=1;i<=n;i++) weight[i]=1.0;
+ if (weightopt != 1) { /* Maximisation without weights. We can have weights different from 1 but want no weight*/
+ for(i=1;i<=imx;i++) weight[i]=1.0; /* changed to imx */
}
+
/*-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 (((int)mint[m][i]== 99) && (s[m][i] <= nlstate)){
- anint[m][i]=9999;
- s[m][i]=-1;
- }
- if((int)moisdc[i]==99 && (int)andc[i]==9999 && s[m][i]>nlstate){
- nberr++;
- printf("Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
- fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
- s[m][i]=-1;
- }
- if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){
- nberr++;
- printf("Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]);
- fprintf(ficlog,"Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]);
- s[m][i]=-1; /* We prefer to skip it (and to skip it in version 0.8a1 too */
- }
- }
- }
-
- 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((int)moisdc[i]!=99 && (int)andc[i]!=9999)
- agev[m][i]=agedc[i];
- /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/
- else {
- if ((int)andc[i]!=9999){
- nbwarn++;
- printf("Warning negative age at death: %ld line:%d\n",num[i],i);
- fprintf(ficlog,"Warning negative age at death: %ld 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((int)mint[m][i]==99 || (int)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)) {
- nberr++;
- 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("%ld %d %.lf %d %d\n", num[i],(covar[1][i]),agev[m][i],s[m][i],s[m+1][i]);
-}
-
-}*/
+ if(calandcheckages(imx, maxwav, &agemin, &agemax, &nberr, &nbwarn) == 1)
+ goto end;
- 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);
+ agegomp=(int)agemin;
free_vector(moisnais,1,n);
free_vector(annais,1,n);
/* free_matrix(mint,1,maxwav,1,n);
@@ -4480,23 +5507,45 @@ int main(int argc, char *argv[])
/* 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*/
+ codtab=imatrix(1,100,1,10); /**< codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1)
+ */
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++){
+ for(k=1;k<=cptcoveff; k++){ /* scans any effective covariate */
+ for(i=1; i <=pow(2,cptcoveff-k);i++){ /* i=1 to 8/1=8; i=1 to 8/2=4; i=1 to 8/8=1 */
+ for(j=1; j <= ncodemax[k]; j++){ /* For each modality of this covariate ncodemax=2*/
+ for(cpt=1; cpt <=pow(2,k-1); cpt++){ /* cpt=1 to 8/2**(3+1-1 or 3+1-3) =1 or 4 */
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]);*/
+ if (h>m)
+ h=1;
+ /**< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) + 1
+ * h 1 2 3 4
+ *______________________________
+ * 1 i=1 1 i=1 1 i=1 1 i=1 1
+ * 2 2 1 1 1
+ * 3 i=2 1 2 1 1
+ * 4 2 2 1 1
+ * 5 i=3 1 i=2 1 2 1
+ * 6 2 1 2 1
+ * 7 i=4 1 2 2 1
+ * 8 2 2 2 1
+ * 9 i=5 1 i=3 1 i=2 1 1
+ * 10 2 1 1 1
+ * 11 i=6 1 2 1 1
+ * 12 2 2 1 1
+ * 13 i=7 1 i=4 1 2 1
+ * 14 2 1 2 1
+ * 15 i=8 1 2 2 1
+ * 16 2 2 2 1
+ */
+ codtab[h][k]=j;
+ codtab[h][Tvar[k]]=j;
+ printf("h=%d k=%d j=%d codtab[h][k]=%d Tvar[k]=%d codtab[h][Tvar[k]]=%d \n",h, k,j,codtab[h][k],Tvar[k],codtab[h][Tvar[k]]);
}
}
}
@@ -4505,7 +5554,7 @@ int main(int argc, char *argv[])
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("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff);
}
printf("\n");
}
@@ -4513,22 +5562,29 @@ int main(int argc, char *argv[])
/*------------ gnuplot -------------*/
strcpy(optionfilegnuplot,optionfilefiname);
+ if(mle==-3)
+ strcat(optionfilegnuplot,"-mort");
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");
+ //fprintf(ficgp,"set missing 'NaNq'\n");
+ fprintf(ficgp,"set datafile missing 'NaNq'\n");
}
/* fclose(ficgp);*/
/*--------- index.htm --------*/
strcpy(optionfilehtm,optionfilefiname); /* Main html file */
+ if(mle==-3)
+ strcat(optionfilehtm,"-mort");
strcat(optionfilehtm,".htm");
if((fichtm=fopen(optionfilehtm,"w"))==NULL) {
- printf("Problem with %s \n",optionfilehtm), exit(0);
+ printf("Problem with %s \n",optionfilehtm);
+ exit(0);
}
strcpy(optionfilehtmcov,optionfilefiname); /* Only for matrix of covariance */
@@ -4537,23 +5593,25 @@ int main(int argc, char *argv[])
printf("Problem with %s \n",optionfilehtmcov), exit(0);
}
else{
- fprintf(fichtmcov,"<body>\n<title>IMaCh Cov %s\n %s
%s \
+ fprintf(fichtmcov,"\nIMaCh Cov %s\n %s
%s \
\n\
Title=%s
Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s
\n",\
- fileres,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);
+ optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);
}
- fprintf(fichtm,"\nIMaCh %s\n %s
%s \
+ fprintf(fichtm,"\nIMaCh %s\n %s
%s \
\n\
Title=%s
Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s
\n\
\n\
\
Parameter files
\n\
+ - Parameter file: %s.%s
\n\
- Copy of the parameter file: o%s
\n\
- Log file of the run: %s
\n\
- Gnuplot file name: %s
\n\
- Date and time at start: %s
\n",\
- fileres,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model,\
+ optionfilehtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model,\
+ optionfilefiname,optionfilext,optionfilefiname,optionfilext,\
fileres,fileres,\
filelog,filelog,optionfilegnuplot,optionfilegnuplot,strstart);
fflush(fichtm);
@@ -4564,7 +5622,7 @@ Title=%s
Datafile=%s Firstpass=%d La
/* Calculates basic frequencies. Computes observed prevalence at single age
and prints on file fileres'p'. */
- freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint);
+ freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart);
fprintf(fichtm,"\n");
fprintf(fichtm,"
Total number of observations=%d
\n\
@@ -4583,513 +5641,832 @@ Interval (in months) between two waves:
p=param[1][1]; /* *(*(*(param +1)+1)+0) */
globpr=0; /* To get the number ipmx of contributions and the sum of weights*/
- likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
- printf("First Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);
- for (k=1; k<=npar;k++)
- printf(" %d %8.5f",k,p[k]);
- printf("\n");
- globpr=1; /* to print the contributions */
- likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
- printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);
- for (k=1; k<=npar;k++)
- printf(" %d %8.5f",k,p[k]);
- printf("\n");
- if(mle>=1){ /* Could be 1 or 2 */
- mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);
- }
+
+ if (mle==-3){
+ ximort=matrix(1,NDIM,1,NDIM);
+/* ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */
+ cens=ivector(1,n);
+ ageexmed=vector(1,n);
+ agecens=vector(1,n);
+ dcwave=ivector(1,n);
+
+ for (i=1; i<=imx; i++){
+ dcwave[i]=-1;
+ for (m=firstpass; m<=lastpass; m++)
+ if (s[m][i]>nlstate) {
+ dcwave[i]=m;
+ /* printf("i=%d j=%d s=%d dcwave=%d\n",i,j, s[j][i],dcwave[i]);*/
+ break;
+ }
+ }
+
+ for (i=1; i<=imx; i++) {
+ if (wav[i]>0){
+ ageexmed[i]=agev[mw[1][i]][i];
+ j=wav[i];
+ agecens[i]=1.;
+
+ if (ageexmed[i]> 1 && wav[i] > 0){
+ agecens[i]=agev[mw[j][i]][i];
+ cens[i]= 1;
+ }else if (ageexmed[i]< 1)
+ cens[i]= -1;
+ if (agedc[i]< AGESUP && agedc[i]>1 && dcwave[i]>firstpass && dcwave[i]<=lastpass)
+ cens[i]=0 ;
+ }
+ else cens[i]=-1;
+ }
+
+ for (i=1;i<=NDIM;i++) {
+ for (j=1;j<=NDIM;j++)
+ ximort[i][j]=(i == j ? 1.0 : 0.0);
+ }
+
+ p[1]=0.0268; p[NDIM]=0.083;
+ /*printf("%lf %lf", p[1], p[2]);*/
+
+
+#ifdef GSL
+ printf("GSL optimization\n"); fprintf(ficlog,"Powell\n");
+#elsedef
+ printf("Powell\n"); fprintf(ficlog,"Powell\n");
+#endif
+ strcpy(filerespow,"pow-mort");
+ strcat(filerespow,fileres);
+ if((ficrespow=fopen(filerespow,"w"))==NULL) {
+ printf("Problem with resultfile: %s\n", filerespow);
+ fprintf(ficlog,"Problem with resultfile: %s\n", filerespow);
+ }
+#ifdef GSL
+ fprintf(ficrespow,"# GSL optimization\n# iter -2*LL");
+#elsedef
+ fprintf(ficrespow,"# Powell\n# iter -2*LL");
+#endif
+ /* for (i=1;i<=nlstate;i++)
+ for(j=1;j<=nlstate+ndeath;j++)
+ if(j!=i)fprintf(ficrespow," p%1d%1d",i,j);
+ */
+ fprintf(ficrespow,"\n");
+#ifdef GSL
+ /* gsl starts here */
+ T = gsl_multimin_fminimizer_nmsimplex;
+ gsl_multimin_fminimizer *sfm = NULL;
+ gsl_vector *ss, *x;
+ gsl_multimin_function minex_func;
+
+ /* Initial vertex size vector */
+ ss = gsl_vector_alloc (NDIM);
+
+ if (ss == NULL){
+ GSL_ERROR_VAL ("failed to allocate space for ss", GSL_ENOMEM, 0);
+ }
+ /* Set all step sizes to 1 */
+ gsl_vector_set_all (ss, 0.001);
+
+ /* Starting point */
- /*--------- 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);
+ x = gsl_vector_alloc (NDIM);
+
+ if (x == NULL){
+ gsl_vector_free(ss);
+ GSL_ERROR_VAL ("failed to allocate space for x", GSL_ENOMEM, 0);
+ }
+ /* Initialize method and iterate */
+ /* p[1]=0.0268; p[NDIM]=0.083; */
+/* gsl_vector_set(x, 0, 0.0268); */
+/* gsl_vector_set(x, 1, 0.083); */
+ gsl_vector_set(x, 0, p[1]);
+ gsl_vector_set(x, 1, p[2]);
+
+ minex_func.f = &gompertz_f;
+ minex_func.n = NDIM;
+ minex_func.params = (void *)&p; /* ??? */
+
+ sfm = gsl_multimin_fminimizer_alloc (T, NDIM);
+ gsl_multimin_fminimizer_set (sfm, &minex_func, x, ss);
+
+ printf("Iterations beginning .....\n\n");
+ printf("Iter. # Intercept Slope -Log Likelihood Simplex size\n");
- 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)
- {
+ iteri=0;
+ while (rval == GSL_CONTINUE){
+ iteri++;
+ status = gsl_multimin_fminimizer_iterate(sfm);
+
+ if (status) printf("error: %s\n", gsl_strerror (status));
+ fflush(0);
+
+ if (status)
+ break;
+
+ rval = gsl_multimin_test_size (gsl_multimin_fminimizer_size (sfm), 1e-6);
+ ssval = gsl_multimin_fminimizer_size (sfm);
+
+ if (rval == GSL_SUCCESS)
+ printf ("converged to a local maximum at\n");
+
+ printf("%5d ", iteri);
+ for (it = 0; it < NDIM; it++){
+ printf ("%10.5f ", gsl_vector_get (sfm->x, it));
+ }
+ printf("f() = %-10.5f ssize = %.7f\n", sfm->fval, ssval);
+ }
+
+ printf("\n\n Please note: Program should be run many times with varying starting points to detemine global maximum\n\n");
+
+ gsl_vector_free(x); /* initial values */
+ gsl_vector_free(ss); /* inital step size */
+ for (it=0; itx,it);
+ fprintf(ficrespow," %.12lf", p[it]);
+ }
+ gsl_multimin_fminimizer_free (sfm); /* p *(sfm.x.data) et p *(sfm.x.data+1) */
+#endif
+#ifdef POWELL
+ powell(p,ximort,NDIM,ftol,&iter,&fret,gompertz);
+#endif
+ fclose(ficrespow);
+
+ hesscov(matcov, p, NDIM, delti, 1e-4, gompertz);
+
+ for(i=1; i <=NDIM; i++)
+ for(j=i+1;j<=NDIM;j++)
+ matcov[i][j]=matcov[j][i];
+
+ printf("\nCovariance matrix\n ");
+ for(i=1; i <=NDIM; i++) {
+ for(j=1;j<=NDIM;j++){
+ printf("%f ",matcov[i][j]);
+ }
+ printf("\n ");
+ }
+
+ printf("iter=%d MLE=%f Eq=%lf*exp(%lf*(age-%d))\n",iter,-gompertz(p),p[1],p[2],agegomp);
+ for (i=1;i<=NDIM;i++)
+ printf("%f [%f ; %f]\n",p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i]));
+
+ lsurv=vector(1,AGESUP);
+ lpop=vector(1,AGESUP);
+ tpop=vector(1,AGESUP);
+ lsurv[agegomp]=100000;
+
+ for (k=agegomp;k<=AGESUP;k++) {
+ agemortsup=k;
+ if (p[1]*exp(p[2]*(k-agegomp))>1) break;
+ }
+
+ for (k=agegomp;k=1 */
+ globpr=0;/* debug */
+ likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
+ printf("First Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);
+ for (k=1; k<=npar;k++)
+ printf(" %d %8.5f",k,p[k]);
+ printf("\n");
+ globpr=1; /* to print the contributions */
+ likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
+ printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);
+ for (k=1; k<=npar;k++)
+ printf(" %d %8.5f",k,p[k]);
+ printf("\n");
+ 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);
+
+
+ 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]);
+ printf("%lf ",p[jk]);
+ fprintf(ficlog,"%lf ",p[jk]);
+ fprintf(ficres,"%lf ",p[jk]);
jk++;
}
printf("\n");
fprintf(ficlog,"\n");
fprintf(ficres,"\n");
}
+ }
}
- }
- if(mle!=0){
- /* 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++;
+ if(mle!=0){
+ /* 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");
}
- 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,"# 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");
+ /* # 121 Var(a12)\n\ */
+ /* # 122 Cov(b12,a12) Var(b12)\n\ */
+ /* # 131 Cov(a13,a12) Cov(a13,b12, Var(a13)\n\ */
+ /* # 132 Cov(b13,a12) Cov(b13,b12, Cov(b13,a13) Var(b13)\n\ */
+ /* # 212 Cov(a21,a12) Cov(a21,b12, Cov(a21,a13) Cov(a21,b13) Var(a21)\n\ */
+ /* # 212 Cov(b21,a12) Cov(b21,b12, Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)\n\ */
+ /* # 232 Cov(a23,a12) Cov(a23,b12, Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)\n\ */
+ /* # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n" */
+
+
+ /* Just to have a covariance matrix which will be more understandable
+ even is we still don't want to manage dictionary of variables
*/
- 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]);
+ for(itimes=1;itimes<=2;itimes++){
+ jj=0;
+ for(i=1; i <=nlstate; i++){
+ for(j=1; j <=nlstate+ndeath; j++){
+ if(j==i) continue;
+ for(k=1; k<=ncovmodel;k++){
+ jj++;
+ ca[0]= k+'a'-1;ca[1]='\0';
+ if(itimes==1){
+ if(mle>=1)
+ printf("#%1d%1d%d",i,j,k);
+ fprintf(ficlog,"#%1d%1d%d",i,j,k);
+ fprintf(ficres,"#%1d%1d%d",i,j,k);
+ }else{
+ if(mle>=1)
+ printf("%1d%1d%d",i,j,k);
+ fprintf(ficlog,"%1d%1d%d",i,j,k);
+ fprintf(ficres,"%1d%1d%d",i,j,k);
+ }
+ ll=0;
+ for(li=1;li <=nlstate; li++){
+ for(lj=1;lj <=nlstate+ndeath; lj++){
+ if(lj==li) continue;
+ for(lk=1;lk<=ncovmodel;lk++){
+ ll++;
+ if(ll<=jj){
+ cb[0]= lk +'a'-1;cb[1]='\0';
+ if(ll=1)
+ printf(" Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
+ fprintf(ficlog," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
+ fprintf(ficres," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
+ }else{
+ if(mle>=1)
+ printf(" %.5e",matcov[jj][ll]);
+ fprintf(ficlog," %.5e",matcov[jj][ll]);
+ fprintf(ficres," %.5e",matcov[jj][ll]);
+ }
+ }else{
+ if(itimes==1){
+ if(mle>=1)
+ printf(" Var(%s%1d%1d)",ca,i,j);
+ fprintf(ficlog," Var(%s%1d%1d)",ca,i,j);
+ fprintf(ficres," Var(%s%1d%1d)",ca,i,j);
+ }else{
+ if(mle>=1)
+ printf(" %.5e",matcov[jj][ll]);
+ fprintf(ficlog," %.5e",matcov[jj][ll]);
+ fprintf(ficres," %.5e",matcov[jj][ll]);
+ }
+ }
+ }
+ } /* end lk */
+ } /* end lj */
+ } /* end li */
+ if(mle>=1)
+ printf("\n");
+ fprintf(ficlog,"\n");
+ fprintf(ficres,"\n");
+ numlinepar++;
+ } /* end k*/
+ } /*end j */
+ } /* end i */
+ } /* end itimes */
+
+ fflush(ficlog);
+ fflush(ficres);
+
+ while((c=getc(ficpar))=='#' && c!= EOF){
+ ungetc(c,ficpar);
+ fgets(line, MAXLINE, ficpar);
+ fputs(line,stdout);
+ fputs(line,ficparo);
}
- 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){
+
+ 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);
+ fputs(line,stdout);
+ fputs(line,ficparo);
+ }
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){
+
+ 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);
+ fputs(line,stdout);
+ fputs(line,ficparo);
+ }
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);
+ fputs(line,stdout);
+ 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.*/
+
+
+
+ /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint);*/
+ /*,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
+
+ replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */
+ printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);
+
+ 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_lvector(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 (period or stable prevalence) --------------*/
+
+ strcpy(filerespl,"pl");
+ strcat(filerespl,fileres);
+ if((ficrespl=fopen(filerespl,"w"))==NULL) {
+ printf("Problem with period (stable) prevalence resultfile: %s\n", filerespl);goto end;
+ fprintf(ficlog,"Problem with period (stable) prevalence resultfile: %s\n", filerespl);goto end;
+ }
+ printf("Computing period (stable) prevalence: result on file '%s' \n", filerespl);
+ fprintf(ficlog,"Computing period (stable) prevalence: result on file '%s' \n", filerespl);
+ pstamp(ficrespl);
+ fprintf(ficrespl,"# Period (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=pow(2,cptcoveff);
+ if (cptcovn < 1){i1=1;}
+
+ for(cptcov=1,k=0;cptcov<=i1;cptcov++){
+ //for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
+ k=k+1;
+ /* to clean */
+ //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,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");
+ } /* Age */
+ /* was end of cptcod */
+ } /* cptcov */
+ 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*/
+ pstamp(ficrespij);
+ 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 */
- 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);
+ /* nhstepm=nhstepm*YEARM; aff par mois*/
- 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.*/
+ 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");
+ }
+ }
+ }
- while((c=getc(ficpar))=='#' && c!= EOF){
- ungetc(c,ficpar);
- fgets(line, MAXLINE, ficpar);
- puts(line);
- fputs(line,ficparo);
- }
- ungetc(c,ficpar);
+ varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart);
- 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);*/
-
- replace_back_to_slash(pathc,path); /* Even gnuplot wants a / */
- printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);
-
- 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_lvector(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;}
+ fclose(ficrespij);
- 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");
- }
+ probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
+ for(i=1;i<=AGESUP;i++)
+ for(j=1;j<=NCOVMAX;j++)
+ for(k=1;k<=NCOVMAX;k++)
+ probs[i][j][k]=0.;
+
+ /*---------- 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);
+ /* (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); */
+ /* } */
}
- }
- 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 */
+ /* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */
- /* hstepm=1; aff par mois*/
+ prevalence(probs, agemin, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
+ /* printf("ageminpar=%f, agemax=%f, s[lastpass][imx]=%d, agev[lastpass][imx]=%f, nlstate=%d, imx=%d, mint[lastpass][imx]=%f, anint[lastpass][imx]=%f,dateprev1=%f, dateprev2=%f, firstpass=%d, lastpass=%d\n",\
+ ageminpar, agemax, s[lastpass][imx], agev[lastpass][imx], nlstate, imx, mint[lastpass][imx],anint[lastpass][imx], dateprev1, dateprev2, firstpass, lastpass);
+ */
- 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 */
+ 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);
+ }
+ }
- /* 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");
+ /*---------- Health expectancies, no variances ------------*/
+
+ 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);
+ for(cptcov=1,k=0;cptcov<=i1;cptcov++){
+ for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
+ k=k+1;
+ fprintf(ficreseij,"\n#****** ");
+ for(j=1;j<=cptcoveff;j++) {
+ fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
}
- free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
- fprintf(ficrespij,"\n");
+ fprintf(ficreseij,"******\n");
+
+ eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
+ oldm=oldms;savm=savms;
+ evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart);
+
+ free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
}
}
- }
+ fclose(ficreseij);
- varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax);
- fclose(ficrespij);
+ /*---------- Health expectancies and variances ------------*/
- probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
- /*---------- 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);
- /* (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); */
-/* } */
- }
-
+ 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 Life expectancies with their standard errors: file '%s' \n", filerest);
+ fprintf(ficlog,"Computing Total Life expectancies with their standard errors: file '%s' \n", filerest);
- /*---------- 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(fileresstde,"stde");
+ strcat(fileresstde,fileres);
+ if((ficresstdeij=fopen(fileresstde,"w"))==NULL) {
+ printf("Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);
+ fprintf(ficlog,"Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);
+ }
+ printf("Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);
+ fprintf(ficlog,"Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);
+ strcpy(filerescve,"cve");
+ strcat(filerescve,fileres);
+ if((ficrescveij=fopen(filerescve,"w"))==NULL) {
+ printf("Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);
+ fprintf(ficlog,"Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);
+ }
+ printf("Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);
+ fprintf(ficlog,"Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);
- 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);
- 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);
+ 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");
- /* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */
- prevalence(probs, agemin, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
- /* printf("ageminpar=%f, agemax=%f, s[lastpass][imx]=%d, agev[lastpass][imx]=%f, nlstate=%d, imx=%d, mint[lastpass][imx]=%f, anint[lastpass][imx]=%f,dateprev1=%f, dateprev2=%f, firstpass=%d, lastpass=%d\n",\
-ageminpar, agemax, s[lastpass][imx], agev[lastpass][imx], nlstate, imx, mint[lastpass][imx],anint[lastpass][imx], dateprev1, dateprev2, firstpass, lastpass);
- */
+ fprintf(ficresstdeij,"\n#****** ");
+ fprintf(ficrescveij,"\n#****** ");
+ for(j=1;j<=cptcoveff;j++) {
+ fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
+ fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
+ }
+ fprintf(ficresstdeij,"******\n");
+ fprintf(ficrescveij,"******\n");
- 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);
- }
- }
+ 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");
- 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);
+ eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
+ oldm=oldms;savm=savms;
+ cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart);
- 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);
- }
+ vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
+ pstamp(ficrest);
+ for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/
+ oldm=oldms;savm=savms;
+ varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are ");
+ if(vpopbased==1)
+ fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);
+ else
+ fprintf(ficrest,"the age specific period (stable) prevalences in each health state \n");
+ fprintf(ficrest,"# Age 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 (vpopbased==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];
+ }
-
- 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];
+ 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");
}
}
-
- 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");
+ 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(ficresstdeij);
+ fclose(ficrescveij);
+ fclose(ficresvij);
+ fclose(ficrest);
+ fclose(ficpar);
+
+ /*------- Variance of period (stable) prevalence------*/
+
+ strcpy(fileresvpl,"vpl");
+ strcat(fileresvpl,fileres);
+ if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
+ printf("Problem with variance of period (stable) prevalence resultfile: %s\n", fileresvpl);
+ exit(0);
+ }
+ printf("Computing Variance-covariance of period (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);
+ 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,strstart);
+ 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_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
- 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_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
+ fclose(ficresvpl);
- 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);
+ /*---------- End : free ----------------*/
+ if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
+ free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
+ } /* mle==-3 arrives here for freeing */
+ endfree:
+ free_matrix(prlim,1,nlstate,1,nlstate); /*here or after loop ? */
+ 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_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
+ free_matrix(agev,1,maxwav,1,imx);
+ free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
+
+ 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_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX);
+ free_imatrix(codtab,1,100,1,10);
fflush(fichtm);
fflush(ficgp);
if((nberr >0) || (nbwarn>0)){
- printf("End of Imach with %d errors and/or warnings %d\n",nberr,nbwarn);
+ printf("End of Imach with %d errors and/or %d warnings\n",nberr,nbwarn);
fprintf(ficlog,"End of Imach with %d errors and/or warnings %d\n",nberr,nbwarn);
}else{
printf("End of Imach\n");
@@ -5101,29 +6478,55 @@ ageminpar, agemax, s[lastpass][imx], age
tm = *localtime(&end_time.tv_sec);
tmg = *gmtime(&end_time.tv_sec);
strcpy(strtend,asctime(&tm));
- printf("Local time at start %s\nLocaltime at end %s",strstart, strtend);
+ printf("Local time at start %s\nLocal time at end %s",strstart, strtend);
fprintf(ficlog,"Local time at start %s\nLocal time at end %s\n",strstart, strtend);
printf("Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));
- printf("Total time was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);
+ printf("Total time was %ld Sec.\n", end_time.tv_sec -start_time.tv_sec);
fprintf(ficlog,"Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));
- fprintf(ficlog,"Total time was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);
+ fprintf(ficlog,"Total time was %ld Sec.\n", end_time.tv_sec -start_time.tv_sec);
/* printf("Total time was %d uSec.\n", total_usecs);*/
/* if(fileappend(fichtm,optionfilehtm)){ */
- fprintf(fichtm,"
Local time at start %s
Local time at end %s
",strstart, strtend);
+ fprintf(fichtm,"
Local time at start %s
Local time at end %s
\n",strstart, strtend);
fclose(fichtm);
+ fprintf(fichtmcov,"
Local time at start %s
Local time at end %s
\n",strstart, strtend);
fclose(fichtmcov);
fclose(ficgp);
fclose(ficlog);
/*------ End -----------*/
- chdir(path);
- strcpy(plotcmd,GNUPLOTPROGRAM);
- strcat(plotcmd," ");
- strcat(plotcmd,optionfilegnuplot);
- printf("Starting graphs with: %s",plotcmd);fflush(stdout);
+
+ printf("Before Current directory %s!\n",pathcd);
+ if(chdir(pathcd) != 0)
+ printf("Can't move to directory %s!\n",path);
+ if(getcwd(pathcd,MAXLINE) > 0)
+ printf("Current directory %s!\n",pathcd);
+ /*strcat(plotcmd,CHARSEPARATOR);*/
+ sprintf(plotcmd,"gnuplot");
+#ifndef UNIX
+ sprintf(plotcmd,"\"%sgnuplot.exe\"",pathimach);
+#endif
+ if(!stat(plotcmd,&info)){
+ printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);
+ if(!stat(getenv("GNUPLOTBIN"),&info)){
+ printf("Error gnuplot program not found: %s Environment GNUPLOTBIN not set.\n",plotcmd);fflush(stdout);
+ }else
+ strcpy(pplotcmd,plotcmd);
+#ifdef UNIX
+ strcpy(plotcmd,GNUPLOTPROGRAM);
+ if(!stat(plotcmd,&info)){
+ printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);
+ }else
+ strcpy(pplotcmd,plotcmd);
+#endif
+ }else
+ strcpy(pplotcmd,plotcmd);
+
+ sprintf(plotcmd,"%s %s",pplotcmd, optionfilegnuplot);
+ printf("Starting graphs with: %s\n",plotcmd);fflush(stdout);
+
if((outcmd=system(plotcmd)) != 0){
- printf(" Problem with gnuplot\n");
+ printf("\n Problem with gnuplot\n");
}
printf(" Wait...");
while (z[0] != 'q') {
@@ -5131,7 +6534,10 @@ ageminpar, agemax, s[lastpass][imx], age
printf("\nType e to edit output files, g to graph again and q for exiting: ");
scanf("%s",z);
/* if (z[0] == 'c') system("./imach"); */
- if (z[0] == 'e') system(optionfilehtm);
+ if (z[0] == 'e') {
+ printf("Starting browser with: %s",optionfilehtm);fflush(stdout);
+ system(optionfilehtm);
+ }
else if (z[0] == 'g') system(plotcmd);
else if (z[0] == 'q') exit(0);
}