--- imach/src/imach.c 2015/09/09 16:53:55 1.200 +++ imach/src/imach.c 2016/02/17 08:14:50 1.222 @@ -1,6 +1,90 @@ -/* $Id: imach.c,v 1.200 2015/09/09 16:53:55 brouard Exp $ +/* $Id: imach.c,v 1.222 2016/02/17 08:14:50 brouard Exp $ $State: Exp $ $Log: imach.c,v $ + Revision 1.222 2016/02/17 08:14:50 brouard + Summary: Probably last 0.98 stable version 0.98r6 + + Revision 1.221 2016/02/15 23:35:36 brouard + Summary: minor bug + + Revision 1.219 2016/02/15 00:48:12 brouard + *** empty log message *** + + Revision 1.218 2016/02/12 11:29:23 brouard + Summary: 0.99 Back projections + + Revision 1.217 2015/12/23 17:18:31 brouard + Summary: Experimental backcast + + Revision 1.216 2015/12/18 17:32:11 brouard + Summary: 0.98r4 Warning and status=-2 + + Version 0.98r4 is now: + - displaying an error when status is -1, date of interview unknown and date of death known; + - permitting a status -2 when the vital status is unknown at a known date of right truncation. + Older changes concerning s=-2, dating from 2005 have been supersed. + + Revision 1.215 2015/12/16 08:52:24 brouard + Summary: 0.98r4 working + + Revision 1.214 2015/12/16 06:57:54 brouard + Summary: temporary not working + + Revision 1.213 2015/12/11 18:22:17 brouard + Summary: 0.98r4 + + Revision 1.212 2015/11/21 12:47:24 brouard + Summary: minor typo + + Revision 1.211 2015/11/21 12:41:11 brouard + Summary: 0.98r3 with some graph of projected cross-sectional + + Author: Nicolas Brouard + + Revision 1.210 2015/11/18 17:41:20 brouard + Summary: Start working on projected prevalences + + Revision 1.209 2015/11/17 22:12:03 brouard + Summary: Adding ftolpl parameter + Author: N Brouard + + We had difficulties to get smoothed confidence intervals. It was due + to the period prevalence which wasn't computed accurately. The inner + parameter ftolpl is now an outer parameter of the .imach parameter + file after estepm. If ftolpl is small 1.e-4 and estepm too, + computation are long. + + Revision 1.208 2015/11/17 14:31:57 brouard + Summary: temporary + + Revision 1.207 2015/10/27 17:36:57 brouard + *** empty log message *** + + Revision 1.206 2015/10/24 07:14:11 brouard + *** empty log message *** + + Revision 1.205 2015/10/23 15:50:53 brouard + Summary: 0.98r3 some clarification for graphs on likelihood contributions + + Revision 1.204 2015/10/01 16:20:26 brouard + Summary: Some new graphs of contribution to likelihood + + Revision 1.203 2015/09/30 17:45:14 brouard + Summary: looking at better estimation of the hessian + + Also a better criteria for convergence to the period prevalence And + therefore adding the number of years needed to converge. (The + prevalence in any alive state shold sum to one + + Revision 1.202 2015/09/22 19:45:16 brouard + Summary: Adding some overall graph on contribution to likelihood. Might change + + Revision 1.201 2015/09/15 17:34:58 brouard + Summary: 0.98r0 + + - Some new graphs like suvival functions + - Some bugs fixed like model=1+age+V2. + Revision 1.200 2015/09/09 16:53:55 brouard Summary: Big bug thanks to Flavia @@ -579,8 +663,25 @@ hPijx. Also this programme outputs the covariance matrix of the parameters but also - of the life expectancies. It also computes the period (stable) prevalence. - + of the life expectancies. It also computes the period (stable) prevalence. + +Back prevalence and projections: + - back_prevalence_limit(double *p, double **bprlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp, double dateprev1,double dateprev2, int firstpass, int lastpass, int mobilavproj) + Computes the back prevalence limit for any combination of covariate values k + at any age between ageminpar and agemaxpar and returns it in **bprlim. In the loops, + - **bprevalim(**bprlim, ***mobaverage, nlstate, *p, age, **oldm, **savm, **dnewm, **doldm, **dsavm, ftolpl, ncvyearp, k); + - hBijx Back Probability to be in state i at age x-h being in j at x + Computes for any combination of covariates k and any age between bage and fage + p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + oldm=oldms;savm=savms; + - hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); + Computes the transition matrix starting at age 'age' over + 'nhstepm*hstepm*stepm' months (i.e. until + age (in years) age+nhstepm*hstepm*stepm/12) by multiplying + nhstepm*hstepm matrices. Returns p3mat[i][j][h] after calling + p3mat[i][j][h]=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij),\ + 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); + 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 @@ -638,6 +739,10 @@ /* #define DEBUG */ /* #define DEBUGBRENT */ +/* #define DEBUGLINMIN */ +/* #define DEBUGHESS */ +#define DEBUGHESSIJ +#define LINMINORIGINAL /* Don't use loop on scale in linmin (accepting nan)*/ #define POWELL /* Instead of NLOPT */ #define POWELLF1F3 /* Skip test */ /* #define POWELLORIGINAL /\* Don't use Directest to decide new direction but original Powell test *\/ */ @@ -709,9 +814,13 @@ typedef struct { #define NDEATHMAX 8 /**< Maximum number of dead states (for func) */ #define NCOVMAX 20 /**< Maximum number of covariates, including generated covariates V1*V2 */ #define codtabm(h,k) (1 & (h-1) >> (k-1))+1 +/*#define decodtabm(h,k,cptcoveff)= (h <= (1<> (k-1)) & 1) +1 : -1)*/ +#define decodtabm(h,k,cptcoveff) (((h-1) >> (k-1)) & 1) +1 #define MAXN 20000 #define YEARM 12. /**< Number of months per year */ -#define AGESUP 130 +/* #define AGESUP 130 */ +#define AGESUP 150 +#define AGEMARGE 25 /* Marge for agemin and agemax for(iage=agemin-AGEMARGE; iage <= agemax+3+AGEMARGE; iage++) */ #define AGEBASE 40 #define AGEOVERFLOW 1.e20 #define AGEGOMP 10 /**< Minimal age for Gompertz adjustment */ @@ -725,12 +834,12 @@ typedef struct { #define ODIRSEPARATOR '\\' #endif -/* $Id: imach.c,v 1.200 2015/09/09 16:53:55 brouard Exp $ */ +/* $Id: imach.c,v 1.222 2016/02/17 08:14:50 brouard Exp $ */ /* $State: Exp $ */ #include "version.h" char version[]=__IMACH_VERSION__; -char copyright[]="September 2015,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015"; -char fullversion[]="$Revision: 1.200 $ $Date: 2015/09/09 16:53:55 $"; +char copyright[]="October 2015,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015"; +char fullversion[]="$Revision: 1.222 $ $Date: 2016/02/17 08:14:50 $"; char strstart[80]; char optionfilext[10], optionfilefiname[FILENAMELENGTH]; int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */ @@ -743,6 +852,7 @@ int cptcovage=0; /**< Number of covariat int cptcovprodnoage=0; /**< Number of covariate products without age */ int cptcoveff=0; /* Total number of covariates to vary for printing results */ int cptcov=0; /* Working variable */ +int ncovcombmax=NCOVMAX; /* Maximum calculated number of covariate combination = pow(2, cptcoveff) */ int npar=NPARMAX; int nlstate=2; /* Number of live states */ int ndeath=1; /* Number of dead states */ @@ -765,8 +875,10 @@ double jmean=1; /* Mean space between 2 double **matprod2(); /* test */ double **oldm, **newm, **savm; /* Working pointers to matrices */ double **oldms, **newms, **savms; /* Fixed working pointers to matrices */ +double **ddnewms, **ddoldms, **ddsavms; /* for freeing later */ + /*FILE *fic ; */ /* Used in readdata only */ -FILE *ficpar, *ficparo,*ficres, *ficresp, *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop; +FILE *ficpar, *ficparo,*ficres, *ficresp, *ficresphtm, *ficresphtmfr, *ficrespl, *ficresplb,*ficrespij, *ficrespijb, *ficrest,*ficresf, *ficresfb,*ficrespop; FILE *ficlog, *ficrespow; int globpr=0; /* Global variable for printing or not */ double fretone; /* Only one call to likelihood */ @@ -789,14 +901,14 @@ char fileresv[FILENAMELENGTH]; FILE *ficresvpl; char fileresvpl[FILENAMELENGTH]; char title[MAXLINE]; -char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH], filerespl[FILENAMELENGTH]; +char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH], filerespl[FILENAMELENGTH], fileresplb[FILENAMELENGTH]; char plotcmd[FILENAMELENGTH], pplotcmd[FILENAMELENGTH]; char tmpout[FILENAMELENGTH], tmpout2[FILENAMELENGTH]; char command[FILENAMELENGTH]; int outcmd=0; -char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH]; - +char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filerespijb[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH]; +char fileresu[FILENAMELENGTH]; /* fileres without r in front */ char filelog[FILENAMELENGTH]; /* Log file */ char filerest[FILENAMELENGTH]; char fileregp[FILENAMELENGTH]; @@ -872,7 +984,8 @@ int *ncodemaxwundef; /* ncodemax[j]= Nu covariate for which somebody answered including undefined. Usually 3: -1, 0 and 1. */ double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint; -double **pmmij, ***probs; +double **pmmij, ***probs; /* Global pointer */ +double ***mobaverage, ***mobaverages; /* New global variable */ double *ageexmed,*agecens; double dateintmean=0; @@ -887,7 +1000,7 @@ int **nbcode, *Tvar; /**< model=V2 => Tv int *Tage; int *Ndum; /** Freq of modality (tricode */ /* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */ -int **Tvard, *Tprod, cptcovprod, *Tvaraff; +int **Tvard, *Tprod, cptcovprod, *Tvaraff, *invalidvarcomb; double *lsurv, *lpop, *tpop; double ftol=FTOL; /**< Tolerance for computing Max Likelihood */ @@ -920,7 +1033,7 @@ static int split( char *path, char *dirc } /* got dirc from getcwd*/ printf(" DIRC = %s \n",dirc); - } else { /* strip direcotry from path */ + } else { /* strip directory from path */ ss++; /* after this, the filename */ l2 = strlen( ss ); /* length of filename */ if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH ); @@ -1328,7 +1441,30 @@ char *subdirf3(char fileres[], char *pre strcat(tmpout,fileres); return tmpout; } + +/*************** function subdirfext ***********/ +char *subdirfext(char fileres[], char *preop, char *postop) +{ + + strcpy(tmpout,preop); + strcat(tmpout,fileres); + strcat(tmpout,postop); + return tmpout; +} +/*************** function subdirfext3 ***********/ +char *subdirfext3(char fileres[], char *preop, char *postop) +{ + + /* Caution optionfilefiname is hidden */ + strcpy(tmpout,optionfilefiname); + strcat(tmpout,"/"); + strcat(tmpout,preop); + strcat(tmpout,fileres); + strcat(tmpout,postop); + return tmpout; +} + char *asc_diff_time(long time_sec, char ascdiff[]) { long sec_left, days, hours, minutes; @@ -1592,23 +1728,29 @@ void linmin(double p[], double xi[], int double xx,xmin,bx,ax; double fx,fb,fa; - double scale=10., axs, xxs, xxss; /* Scale added for infinity */ - +#ifdef LINMINORIGINAL +#else + double scale=10., axs, xxs; /* Scale added for infinity */ +#endif + ncom=n; pcom=vector(1,n); xicom=vector(1,n); nrfunc=func; for (j=1;j<=n;j++) { pcom[j]=p[j]; - xicom[j]=xi[j]; + xicom[j]=xi[j]; /* Former scale xi[j] of currrent direction i */ } - /* axs=0.0; */ - /* xxss=1; /\* 1 and using scale *\/ */ - xxs=1; - /* do{ */ - ax=0.; +#ifdef LINMINORIGINAL + xx=1.; +#else + axs=0.0; + xxs=1.; + do{ xx= xxs; +#endif + ax=0.; mnbrak(&ax,&xx,&bx,&fa,&fx,&fb,f1dim); /* Outputs: xtx[j]=pcom[j]+(*xx)*xicom[j]; fx=f(xtx[j]) */ /* brackets with inputs ax=0 and xx=1, but points, pcom=p, and directions values, xicom=xi, are sent via f1dim(x) */ /* xt[x,j]=pcom[j]+x*xicom[j] f(ax) = f(xt(a,j=1,n)) = f(p(j) + 0 * xi(j)) and f(xx) = f(xt(x, j=1,n)) = f(p(j) + 1 * xi(j)) */ @@ -1616,14 +1758,22 @@ void linmin(double p[], double xi[], int /* Given input ax=axs and xx=xxs, xx might be too far from ax to get a finite f(xx) */ /* Searches on line, outputs (ax, xx, bx) such that fx < min(fa and fb) */ /* Find a bracket a,x,b in direction n=xi ie xicom, order may change. Scale is [0:xxs*xi[j]] et non plus [0:xi[j]]*/ - /* if (fx != fx){ */ - /* xxs=xxs/scale; /\* Trying a smaller xx, closer to initial ax=0 *\/ */ - /* printf("\nLinmin NAN : input [axs=%lf:xxs=%lf], mnbrak outputs fx=%lf <(fb=%lf and fa=%lf) with xx=%lf in [ax=%lf:bx=%lf] \n", axs, xxs, fx,fb, fa, xx, ax, bx); */ - /* } */ - /* }while(fx != fx); */ - +#ifdef LINMINORIGINAL +#else + if (fx != fx){ + xxs=xxs/scale; /* Trying a smaller xx, closer to initial ax=0 */ + printf("|"); + fprintf(ficlog,"|"); +#ifdef DEBUGLINMIN + printf("\nLinmin NAN : input [axs=%lf:xxs=%lf], mnbrak outputs fx=%lf <(fb=%lf and fa=%lf) with xx=%lf in [ax=%lf:bx=%lf] \n", axs, xxs, fx,fb, fa, xx, ax, bx); +#endif + } + }while(fx != fx); +#endif + #ifdef DEBUGLINMIN printf("\nLinmin after mnbrak: ax=%12.7f xx=%12.7f bx=%12.7f fa=%12.2f fx=%12.2f fb=%12.2f\n", ax,xx,bx,fa,fx,fb); + fprintf(ficlog,"\nLinmin after mnbrak: ax=%12.7f xx=%12.7f bx=%12.7f fa=%12.2f fx=%12.2f fb=%12.2f\n", ax,xx,bx,fa,fx,fb); #endif *fret=brent(ax,xx,bx,f1dim,TOL,&xmin); /* Giving a bracketting triplet (ax, xx, bx), find a minimum, xmin, according to f1dim, *fret(xmin),*/ /* fa = f(p[j] + ax * xi[j]), fx = f(p[j] + xx * xi[j]), fb = f(p[j] + bx * xi[j]) */ @@ -1636,22 +1786,37 @@ void linmin(double p[], double xi[], int #endif #ifdef DEBUGLINMIN printf("linmin end "); + fprintf(ficlog,"linmin end "); #endif for (j=1;j<=n;j++) { - /* printf(" before xi[%d]=%12.8f", j,xi[j]); */ - xi[j] *= xmin; /* xi rescaled by xmin: if xmin=-1.237 and xi=(1,0,...,0) xi=(-1.237,0,...,0) */ - /* if(xxs <1.0) */ - /* printf(" after xi[%d]=%12.8f, xmin=%12.8f, ax=%12.8f, xx=%12.8f, bx=%12.8f, xxs=%12.8f", j,xi[j], xmin, ax, xx, bx,xxs ); */ +#ifdef LINMINORIGINAL + xi[j] *= xmin; +#else +#ifdef DEBUGLINMIN + if(xxs <1.0) + printf(" before xi[%d]=%12.8f", j,xi[j]); +#endif + xi[j] *= xmin*xxs; /* xi rescaled by xmin and number of loops: if xmin=-1.237 and xi=(1,0,...,0) xi=(-1.237,0,...,0) */ +#ifdef DEBUGLINMIN + if(xxs <1.0) + printf(" after xi[%d]=%12.8f, xmin=%12.8f, ax=%12.8f, xx=%12.8f, bx=%12.8f, xxs=%12.8f", j,xi[j], xmin, ax, xx, bx,xxs ); +#endif +#endif p[j] += xi[j]; /* Parameters values are updated accordingly */ } - /* printf("\n"); */ #ifdef DEBUGLINMIN + printf("\n"); printf("Comparing last *frec(xmin=%12.8f)=%12.8f from Brent and frec(0.)=%12.8f \n", xmin, *fret, (*func)(p)); + fprintf(ficlog,"Comparing last *frec(xmin=%12.8f)=%12.8f from Brent and frec(0.)=%12.8f \n", xmin, *fret, (*func)(p)); for (j=1;j<=n;j++) { - printf(" xi[%d]= %12.7f p[%d]= %12.7f",j,xi[j],j,p[j]); - if(j % ncovmodel == 0) + printf(" xi[%d]= %14.10f p[%d]= %12.7f",j,xi[j],j,p[j]); + fprintf(ficlog," xi[%d]= %14.10f p[%d]= %12.7f",j,xi[j],j,p[j]); + if(j % ncovmodel == 0){ printf("\n"); + fprintf(ficlog,"\n"); + } } +#else #endif free_vector(xicom,1,n); free_vector(pcom,1,n); @@ -1685,7 +1850,7 @@ void powell(double p[], double **xi, int xits=vector(1,n); *fret=(*func)(p); for (j=1;j<=n;j++) pt[j]=p[j]; - rcurr_time = time(NULL); + rcurr_time = time(NULL); for (*iter=1;;++(*iter)) { fp=(*fret); /* From former iteration or initial value */ ibig=0; @@ -1729,10 +1894,10 @@ void powell(double p[], double **xi, int for (j=1;j<=n;j++) xit[j]=xi[j][i]; /* Directions stored from previous iteration with previous scales */ fptt=(*fret); #ifdef DEBUG - printf("fret=%lf, %lf, %lf \n", *fret, *fret, *fret); - fprintf(ficlog, "fret=%lf, %lf, %lf \n", *fret, *fret, *fret); + printf("fret=%lf, %lf, %lf \n", *fret, *fret, *fret); + fprintf(ficlog, "fret=%lf, %lf, %lf \n", *fret, *fret, *fret); #endif - printf("%d",i);fflush(stdout); /* print direction (parameter) i */ + printf("%d",i);fflush(stdout); /* print direction (parameter) i */ fprintf(ficlog,"%d",i);fflush(ficlog); linmin(p,xit,n,fret,func); /* Point p[n]. xit[n] has been loaded for direction i as input.*/ /* Outputs are fret(new point p) p is updated and xit rescaled */ @@ -1830,7 +1995,7 @@ void powell(double p[], double **xi, int t=2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del); /* Intel compiler doesn't work on one line; bug reported */ t= t- del*SQR(fp-fptt); #endif - directest = fp-2.0*(*fret)+fptt - 2.0 * del; /* If del was big enough we change it for a new direction */ + directest = fp-2.0*(*fret)+fptt - 2.0 * del; /* If delta was big enough we change it for a new direction */ #ifdef DEBUG printf("t1= %.12lf, t2= %.12lf, t=%.12lf directest=%.12lf\n", 2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del),del*SQR(fp-fptt),t,directest); fprintf(ficlog,"t1= %.12lf, t2= %.12lf, t=%.12lf directest=%.12lf\n", 2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del),del*SQR(fp-fptt),t,directest); @@ -1845,9 +2010,9 @@ void powell(double p[], double **xi, int if (t < 0.0) { /* Then we use it for new direction */ #else if (directest*t < 0.0) { /* Contradiction between both tests */ - printf("directest= %.12lf, t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt,del); + printf("directest= %.12lf (if <0 we include P0 Pn as new direction), t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt,del); printf("f1-2f2+f3= %.12lf, f1-f2-del= %.12lf, f1-f3= %.12lf\n",fp-2.0*(*fret)+fptt, fp -(*fret) -del, fp-fptt); - fprintf(ficlog,"directest= %.12lf, t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt, del); + fprintf(ficlog,"directest= %.12lf (if <0 we include P0 Pn as new direction), t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt, del); fprintf(ficlog,"f1-2f2+f3= %.12lf, f1-f2-del= %.12lf, f1-f3= %.12lf\n",fp-2.0*(*fret)+fptt, fp -(*fret) -del, fp-fptt); } if (directest < 0.0) { /* Then we use it for new direction */ @@ -1855,17 +2020,23 @@ void powell(double p[], double **xi, int #ifdef DEBUGLINMIN printf("Before linmin in direction P%d-P0\n",n); for (j=1;j<=n;j++) { - printf("Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); - if(j % ncovmodel == 0) + printf(" Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); + fprintf(ficlog," Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); + if(j % ncovmodel == 0){ printf("\n"); + fprintf(ficlog,"\n"); + } } #endif linmin(p,xit,n,fret,func); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/ #ifdef DEBUGLINMIN for (j=1;j<=n;j++) { printf("After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); - if(j % ncovmodel == 0) + fprintf(ficlog,"After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); + if(j % ncovmodel == 0){ printf("\n"); + fprintf(ficlog,"\n"); + } } #endif for (j=1;j<=n;j++) { @@ -1895,18 +2066,41 @@ void powell(double p[], double **xi, int /**** Prevalence limit (stable or period prevalence) ****************/ -double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int ij) +double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij) { - /* Computes the prevalence limit in each live state at age x by left multiplying the unit - matrix by transitions matrix until convergence is reached */ - + /* Computes the prevalence limit in each live state at age x and for covariate ij by left multiplying the unit + matrix by transitions matrix until convergence is reached with precision ftolpl */ + /* Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1 = Wx-n Px-n ... Px-2 Px-1 I */ + /* Wx is row vector: population in state 1, population in state 2, population dead */ + /* or prevalence in state 1, prevalence in state 2, 0 */ + /* newm is the matrix after multiplications, its rows are identical at a factor */ + /* Initial matrix pimij */ + /* {0.85204250825084937, 0.13044499163996345, 0.017512500109187184, */ + /* 0.090851990222114765, 0.88271245433047185, 0.026435555447413338, */ + /* 0, 0 , 1} */ + /* + * and after some iteration: */ + /* {0.45504275246439968, 0.42731458730878791, 0.11764266022681241, */ + /* 0.45201005341706885, 0.42865420071559901, 0.11933574586733192, */ + /* 0, 0 , 1} */ + /* And prevalence by suppressing the deaths are close to identical rows in prlim: */ + /* {0.51571254859325999, 0.4842874514067399, */ + /* 0.51326036147820708, 0.48673963852179264} */ + /* If we start from prlim again, prlim tends to a constant matrix */ + int i, ii,j,k; - double min, max, maxmin, maxmax,sumnew=0.; + double *min, *max, *meandiff, maxmax,sumnew=0.; /* double **matprod2(); */ /* test */ - double **out, cov[NCOVMAX+1], **pmij(); + double **out, cov[NCOVMAX+1], **pmij(); /* **pmmij is a global variable feeded with oldms etc */ double **newm; - double agefin, delaymax=50 ; /* Max number of years to converge */ + double agefin, delaymax=200. ; /* 100 Max number of years to converge */ + int ncvloop=0; + min=vector(1,nlstate); + max=vector(1,nlstate); + meandiff=vector(1,nlstate); + + /* Starting with matrix unity */ for (ii=1;ii<=nlstate+ndeath;ii++) for (j=1;j<=nlstate+ndeath;j++){ oldm[ii][j]=(ii==j ? 1.0 : 0.0); @@ -1915,7 +2109,9 @@ double **prevalim(double **prlim, int nl cov[1]=1.; /* Even if hstepm = 1, at least one multiplication by the unit matrix */ + /* Start at agefin= age, computes the matrix of passage and loops decreasing agefin until convergence is reached */ for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){ + ncvloop++; newm=savm; /* Covariates have to be included here again */ cov[2]=agefin; @@ -1923,6 +2119,7 @@ double **prevalim(double **prlim, int nl cov[3]= agefin*agefin;; for (k=1; k<=cptcovn;k++) { /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */ + /* Here comes the value of the covariate 'ij' */ cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; /* printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtabm(ij,Tvar[k])],cov[2+k], ij, k, codtabm(ij,Tvar[k])]); */ } @@ -1938,32 +2135,184 @@ double **prevalim(double **prlim, int nl /*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/ /* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ /* out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /\* Bug Valgrind *\/ */ + /* age and covariate values of ij are in 'cov' */ 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.; - for(j=1;j<=nlstate;j++){ - min=1.; - max=0.; - for(i=1; i<=nlstate; i++) { - sumnew=0; - for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k]; + + for(j=1; j<=nlstate; j++){ + max[j]=0.; + min[j]=1.; + } + for(i=1;i<=nlstate;i++){ + sumnew=0; + for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k]; + for(j=1; j<=nlstate; j++){ prlim[i][j]= newm[i][j]/(1-sumnew); - /*printf(" prevalim i=%d, j=%d, prmlim[%d][%d]=%f, agefin=%d \n", i, j, i, j, prlim[i][j],(int)agefin);*/ - max=FMAX(max,prlim[i][j]); - min=FMIN(min,prlim[i][j]); + max[j]=FMAX(max[j],prlim[i][j]); + min[j]=FMIN(min[j],prlim[i][j]); } - maxmin=max-min; - maxmax=FMAX(maxmax,maxmin); + } + + maxmax=0.; + for(j=1; j<=nlstate; j++){ + meandiff[j]=(max[j]-min[j])/(max[j]+min[j])*2.; /* mean difference for each column */ + maxmax=FMAX(maxmax,meandiff[j]); + /* printf(" age= %d meandiff[%d]=%f, agefin=%d max[%d]=%f min[%d]=%f maxmax=%f\n", (int)age, j, meandiff[j],(int)agefin, j, max[j], j, min[j],maxmax); */ } /* j loop */ + *ncvyear= (int)age- (int)agefin; + /* printf("maxmax=%lf maxmin=%lf ncvloop=%d, age=%d, agefin=%d ncvyear=%d \n", maxmax, maxmin, ncvloop, (int)age, (int)agefin, *ncvyear); */ if(maxmax < ftolpl){ + /* printf("maxmax=%lf ncvloop=%ld, age=%d, agefin=%d ncvyear=%d \n", maxmax, ncvloop, (int)age, (int)agefin, *ncvyear); */ + free_vector(min,1,nlstate); + free_vector(max,1,nlstate); + free_vector(meandiff,1,nlstate); return prlim; } } /* age loop */ + /* After some age loop it doesn't converge */ + printf("Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. \n\ +Earliest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, delaymax, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear); + /* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */ + free_vector(min,1,nlstate); + free_vector(max,1,nlstate); + free_vector(meandiff,1,nlstate); + return prlim; /* should not reach here */ } + + /**** Back Prevalence limit (stable or period prevalence) ****************/ + + /* double **bprevalim(double **bprlim, double ***prevacurrent, int nlstate, double x[], double age, double ageminpar, double agemaxpar, double **oldm, double **savm, double **dnewm, double **doldm, double **dsavm, double ftolpl, int *ncvyear, int ij) */ + /* double **bprevalim(double **bprlim, double ***prevacurrent, int nlstate, double x[], double age, double **oldm, double **savm, double **dnewm, double **doldm, double **dsavm, double ftolpl, int *ncvyear, int ij) */ + double **bprevalim(double **bprlim, double ***prevacurrent, int nlstate, double x[], double age, double ftolpl, int *ncvyear, int ij) +{ + /* Computes the prevalence limit in each live state at age x and covariate ij by left multiplying the unit + matrix by transitions matrix until convergence is reached with precision ftolpl */ + /* Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1 = Wx-n Px-n ... Px-2 Px-1 I */ + /* Wx is row vector: population in state 1, population in state 2, population dead */ + /* or prevalence in state 1, prevalence in state 2, 0 */ + /* newm is the matrix after multiplications, its rows are identical at a factor */ + /* Initial matrix pimij */ + /* {0.85204250825084937, 0.13044499163996345, 0.017512500109187184, */ + /* 0.090851990222114765, 0.88271245433047185, 0.026435555447413338, */ + /* 0, 0 , 1} */ + /* + * and after some iteration: */ + /* {0.45504275246439968, 0.42731458730878791, 0.11764266022681241, */ + /* 0.45201005341706885, 0.42865420071559901, 0.11933574586733192, */ + /* 0, 0 , 1} */ + /* And prevalence by suppressing the deaths are close to identical rows in prlim: */ + /* {0.51571254859325999, 0.4842874514067399, */ + /* 0.51326036147820708, 0.48673963852179264} */ + /* If we start from prlim again, prlim tends to a constant matrix */ + + int i, ii,j,k; + double *min, *max, *meandiff, maxmax,sumnew=0.; + /* double **matprod2(); */ /* test */ + double **out, cov[NCOVMAX+1], **bmij(); + double **newm; + double **dnewm, **doldm, **dsavm; /* for use */ + double **oldm, **savm; /* for use */ + + double agefin, delaymax=200. ; /* 100 Max number of years to converge */ + int ncvloop=0; + + min=vector(1,nlstate); + max=vector(1,nlstate); + meandiff=vector(1,nlstate); + + dnewm=ddnewms; doldm=ddoldms; dsavm=ddsavms; + oldm=oldms; savm=savms; + + /* Starting with matrix unity */ + for (ii=1;ii<=nlstate+ndeath;ii++) + for (j=1;j<=nlstate+ndeath;j++){ + oldm[ii][j]=(ii==j ? 1.0 : 0.0); + } + + cov[1]=1.; + + /* Even if hstepm = 1, at least one multiplication by the unit matrix */ + /* Start at agefin= age, computes the matrix of passage and loops decreasing agefin until convergence is reached */ + /* for(agefin=age+stepm/YEARM; agefin<=age+delaymax; agefin=agefin+stepm/YEARM){ /\* A changer en age *\/ */ + for(agefin=age; agefin ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. \n\ +Oldest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, delaymax, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear); + /* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */ + free_vector(min,1,nlstate); + free_vector(max,1,nlstate); + free_vector(meandiff,1,nlstate); + + return bprlim; /* should not reach here */ +} + /*************** transition probabilities ***************/ double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate ) @@ -1985,67 +2334,227 @@ double **pmij(double **ps, double *cov, /*double t34;*/ int i,j, nc, ii, jj; - for(i=1; i<= nlstate; i++){ - for(j=1; ji s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */ + } + ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ + } } - ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ -/* printf("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); */ + + for(i=1; i<= nlstate; i++){ + s1=0; + for(j=1; ji} pij/pii=(1-pii)/pii and thus pii is known from s1 */ + ps[i][i]=1./(s1+1.); + /* Computing other pijs */ + for(j=1; ji} 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= 1.e-10){ + /* if(agefin >= agemaxpar && agefin <= agemaxpar+stepm/YEARM){ */ + /* doldm[ii][j]=(ii==j ? 1./sumnew : 0.0); */ + /* }else if(agefin >= agemaxpar+stepm/YEARM){ */ + /* doldm[ii][j]=(ii==j ? 1./sumnew : 0.0); */ + /* }else */ + doldm[ii][j]=(ii==j ? 1./sumnew : 0.0); + }else{ + printf("ii=%d, i=%d, doldm=%lf dsavm=%lf, probs=%lf, sumnew=%lf,agefin=%d\n",ii,j,doldm[ii][j],dsavm[ii][j],prevacurrent[(int)agefin][ii][ij],sumnew, (int)agefin); } - } - - - /* for(ii=1; ii<= nlstate+ndeath; ii++){ */ - /* for(jj=1; jj<= nlstate+ndeath; jj++){ */ - /* printf(" pmij ps[%d][%d]=%lf ",ii,jj,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; + } /*End ii */ + } /* End j, At the end doldm is diag[1/(w_1p1i+w_2 p2i)] */ + /* left Product of this diag matrix by dsavm=Px (newm=dsavm*doldm) */ + bbmij=matprod2(dnewm, dsavm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, doldm); /* Bug Valgrind */ + /* dsavm=doldm; /\* dsavm is now diag [1/(w_1p1i+w_2 p2i)] but can be overwritten*\/ */ + /* doldm=dnewm; /\* doldm is now Px * diag [1/(w_1p1i+w_2 p2i)] *\/ */ + /* dnewm=dsavm; /\* doldm is now Px * diag [1/(w_1p1i+w_2 p2i)] *\/ */ + /* left Product of this matrix by diag matrix of prevalences (savm) */ + for (j=1;j<=nlstate+ndeath;j++){ + for (ii=1;ii<=nlstate+ndeath;ii++){ + dsavm[ii][j]=(ii==j ? prevacurrent[(int)agefin][ii][ij] : 0.0); + } + } /* End j, At the end oldm is diag[1/(w_1p1i+w_2 p2i)] */ + ps=matprod2(doldm, dsavm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, dnewm); /* Bug Valgrind */ + /* newm or out is now diag[w_i] * Px * diag [1/(w_1p1i+w_2 p2i)] */ + /* end bmij */ + return ps; +} +/*************** transition probabilities ***************/ + +double **bpmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate ) +{ + /* 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-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, nc, ii, jj; + + for(i=1; i<= nlstate; i++){ + for(j=1; ji s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */ + } + ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ + } + } + + for(i=1; i<= nlstate; i++){ + s1=0; + for(j=1; ji} pij/pii=(1-pii)/pii and thus pii is known from s1 */ + ps[i][i]=1./(s1+1.); + /* Computing other pijs */ + for(j=1; jfunction)(xt); /* p xt[1]@8 is fine */ - /* fret=(*func)(xt); /\* p xt[1]@8 is fine *\/ */ - printf("Function = %.12lf ",fret); - for (j=1;j<=n;j++) printf(" %d %.8lf", j, xt[j]); - printf("\n"); - free_vector(xt,1,n); - return fret; -} -#endif - -/*************** log-likelihood *************/ -double func( double *x) +/************* Higher Back Matrix Product ***************/ +/* double ***hbxij(double ***po, int nhstepm, double age, int hstepm, double *x, double ***prevacurrent, int nlstate, int stepm, double **oldm, double **savm, double **dnewm, double **doldm, double **dsavm, int ij ) */ +double ***hbxij(double ***po, int nhstepm, double age, int hstepm, double *x, double ***prevacurrent, int nlstate, int stepm, int ij ) { - int i, ii, j, k, mi, d, kk; - double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; - double **out; - double sw; /* Sum of weights */ - double lli; /* Individual log likelihood */ - int s1, s2; - double bbh, survp; - long ipmx; - double agexact; - /*extern weight */ - /* We are differentiating ll according to initial status */ - /* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/ - /*for(i=1;ifunction)(xt); /* p xt[1]@8 is fine */ + /* fret=(*func)(xt); /\* p xt[1]@8 is fine *\/ */ + printf("Function = %.12lf ",fret); + for (j=1;j<=n;j++) printf(" %d %.8lf", j, xt[j]); + printf("\n"); + free_vector(xt,1,n); + return fret; +} +#endif + +/*************** log-likelihood *************/ +double func( double *x) +{ + int i, ii, j, k, mi, d, kk; + double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; + double **out; + double sw; /* Sum of weights */ + double lli; /* Individual log likelihood */ + int s1, s2; + double bbh, survp; + long ipmx; + double agexact; + /*extern weight */ + /* We are differentiating ll according to initial status */ + /* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/ + /*for(i=1;i(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2]));*/ /* linear interpolation */ @@ -2408,6 +3020,10 @@ double func( double *x) s2=s[mw[mi+1][i]][i]; if( s2 > nlstate){ lli=log(out[s1][s2] - savm[s1][s2]); + } else if ( s2==-1 ) { /* alive */ + for (j=1,survp=0. ; j<=nlstate; j++) + survp += out[s1][j]; + lli= log(survp); }else{ lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */ } @@ -2470,6 +3086,7 @@ double funcone( double *x) int s1, s2; double bbh, survp; double agexact; + double agebegin, ageend; /*extern weight */ /* We are differentiating ll according to initial status */ /* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/ @@ -2488,7 +3105,12 @@ double funcone( double *x) oldm[ii][j]=(ii==j ? 1.0 : 0.0); savm[ii][j]=(ii==j ? 1.0 : 0.0); } - for(d=0; d nlstate && (mle <5) ){ /* Jackson */ lli=log(out[s1][s2] - savm[s1][s2]); - } else if (s2==-2) { + } else if ( s2==-1 ) { /* alive */ for (j=1,survp=0. ; j<=nlstate; j++) survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; lli= log(survp); @@ -2536,9 +3162,9 @@ double funcone( double *x) 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]); */ if(globpr){ - fprintf(ficresilk,"%9ld %6d %2d %2d %1d %1d %3d %11.6f %8.4f\ + fprintf(ficresilk,"%9ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %11.6f %8.4f %8.3f\ %11.6f %11.6f %11.6f ", \ - num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i], + num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, 2*weight[i]*lli,out[s1][s2],savm[s1][s2]); for(k=1,llt=0.,l=0.; k<=nlstate; k++){ llt +=ll[k]*gipmx/gsw; @@ -2570,14 +3196,14 @@ void likelione(FILE *ficres,double p[], int k; if(*globpri !=0){ /* Just counts and sums, no printings */ - strcpy(fileresilk,"ilk"); - strcat(fileresilk,fileres); + strcpy(fileresilk,"ILK_"); + strcat(fileresilk,fileresu); if((ficresilk=fopen(fileresilk,"w"))==NULL) { printf("Problem with resultfile: %s\n", fileresilk); fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk); } - fprintf(ficresilk, "#individual(line's_record) s1 s2 wave# effective_wave# number_of_matrices_product pij weight -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total\n"); - fprintf(ficresilk, "#num_i i s1 s2 mi mw dh likeli weight 2wlli out sav "); + fprintf(ficresilk, "#individual(line's_record) count ageb ageend s1 s2 wave# effective_wave# number_of_matrices_product pij weight weight/gpw -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total\n"); + fprintf(ficresilk, "#num_i ageb agend i s1 s2 mi mw dh likeli weight %%weight 2wlli out sav "); /* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2*weight[i]*lli,out[s1][s2],savm[s1][s2]); */ for(k=1; k<=nlstate; k++) fprintf(ficresilk," -2*gipw/gsw*weight*ll[%d]++",k); @@ -2587,9 +3213,23 @@ void likelione(FILE *ficres,double p[], *fretone=(*funcone)(p); if(*globpri !=0){ fclose(ficresilk); - fprintf(fichtm,"\n
File of contributions to the likelihood: %s
\n",subdirf(fileresilk),subdirf(fileresilk)); - fflush(fichtm); - } + if (mle ==0) + fprintf(fichtm,"\n
File of contributions to the likelihood computed with initial parameters and mle = %d.",mle); + else if(mle >=1) + fprintf(fichtm,"\n
File of contributions to the likelihood computed with optimized parameters mle = %d.",mle); + fprintf(fichtm," You should at least run with mle >= 1 to get starting values corresponding to the optimized parameters in order to visualize the real contribution of each individual/wave: %s
\n",subdirf(fileresilk),subdirf(fileresilk)); + + + for (k=1; k<= nlstate ; k++) { + fprintf(fichtm,"
- Probability p%dj by origin %d and destination j. Dot's sizes are related to corresponding weight: %s-p%dj.png
\ +",k,k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k); + } + fprintf(fichtm,"
- The function drawn is -2Log(L) in Log scale: by state of origin %s-ori.png
\ +",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_")); + fprintf(fichtm,"
- and by state of destination %s-dest.png
\ +",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_")); + fflush(fichtm); + } return; } @@ -2620,7 +3260,7 @@ void mlikeli(FILE *ficres,double p[], in for (j=1;j<=npar;j++) xi[i][j]=(i==j ? 1.0 : 0.0); printf("Powell\n"); fprintf(ficlog,"Powell\n"); - strcpy(filerespow,"pow"); + strcpy(filerespow,"POW_"); strcat(filerespow,fileres); if((ficrespow=fopen(filerespow,"w"))==NULL) { printf("Problem with resultfile: %s\n", filerespow); @@ -2663,32 +3303,32 @@ void mlikeli(FILE *ficres,double p[], in #endif free_matrix(xi,1,npar,1,npar); fclose(ficrespow); - printf("#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p)); - fprintf(ficlog,"#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p)); + printf("\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p)); + fprintf(ficlog,"\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p)); fprintf(ficres,"#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p)); } /**** Computes Hessian and covariance matrix ***/ -void hesscov(double **matcov, double p[], int npar, double delti[], double ftolhess, double (*func)(double [])) +void hesscov(double **matcov, double **hess, double p[], int npar, double delti[], double ftolhess, double (*func)(double [])) { double **a,**y,*x,pd; - double **hess; + /* double **hess; */ int i, j; int *indx; 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); + double hessij(double p[], double **hess, 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); + /* hess=matrix(1,npar,1,npar); */ printf("\nCalculation of the hessian matrix. Wait...\n"); fprintf(ficlog,"\nCalculation of the hessian matrix. Wait...\n"); for (i=1;i<=npar;i++){ - printf("%d",i);fflush(stdout); - fprintf(ficlog,"%d",i);fflush(ficlog); + printf("%d-",i);fflush(stdout); + fprintf(ficlog,"%d-",i);fflush(ficlog); hess[i][i]=hessii(p,ftolhess,i,delti,func,npar); @@ -2699,9 +3339,9 @@ void hesscov(double **matcov, double p[] for (i=1;i<=npar;i++) { for (j=1;j<=npar;j++) { 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,func,npar); + printf(".%d-%d",i,j);fflush(stdout); + fprintf(ficlog,".%d-%d",i,j);fflush(ficlog); + hess[i][j]=hessij(p,hess, delti,i,j,func,npar); hess[j][i]=hess[i][j]; /*printf(" %lf ",hess[i][j]);*/ @@ -2735,53 +3375,78 @@ void hesscov(double **matcov, double p[] fprintf(ficlog,"\n#Hessian matrix#\n"); for (i=1;i<=npar;i++) { for (j=1;j<=npar;j++) { - printf("%.3e ",hess[i][j]); - fprintf(ficlog,"%.3e ",hess[i][j]); + printf("%.6e ",hess[i][j]); + fprintf(ficlog,"%.6e ",hess[i][j]); } printf("\n"); fprintf(ficlog,"\n"); } + /* printf("\n#Covariance matrix#\n"); */ + /* fprintf(ficlog,"\n#Covariance matrix#\n"); */ + /* for (i=1;i<=npar;i++) { */ + /* for (j=1;j<=npar;j++) { */ + /* printf("%.6e ",matcov[i][j]); */ + /* fprintf(ficlog,"%.6e ",matcov[i][j]); */ + /* } */ + /* printf("\n"); */ + /* fprintf(ficlog,"\n"); */ + /* } */ + /* Recompute Inverse */ - for (i=1;i<=npar;i++) - for (j=1;j<=npar;j++) a[i][j]=matcov[i][j]; - ludcmp(a,npar,indx,&pd); + /* for (i=1;i<=npar;i++) */ + /* for (j=1;j<=npar;j++) a[i][j]=matcov[i][j]; */ + /* ludcmp(a,npar,indx,&pd); */ + + /* printf("\n#Hessian matrix recomputed#\n"); */ + + /* for (j=1;j<=npar;j++) { */ + /* for (i=1;i<=npar;i++) x[i]=0; */ + /* x[j]=1; */ + /* lubksb(a,npar,indx,x); */ + /* for (i=1;i<=npar;i++){ */ + /* y[i][j]=x[i]; */ + /* printf("%.3e ",y[i][j]); */ + /* fprintf(ficlog,"%.3e ",y[i][j]); */ + /* } */ + /* printf("\n"); */ + /* fprintf(ficlog,"\n"); */ + /* } */ + + /* Verifying the inverse matrix */ +#ifdef DEBUGHESS + y=matprod2(y,hess,1,npar,1,npar,1,npar,matcov); - /* printf("\n#Hessian matrix recomputed#\n"); + printf("\n#Verification: multiplying the matrix of covariance by the Hessian matrix, should be unity:#\n"); + fprintf(ficlog,"\n#Verification: multiplying the matrix of covariance by the Hessian matrix. Should be unity:#\n"); for (j=1;j<=npar;j++) { - for (i=1;i<=npar;i++) x[i]=0; - x[j]=1; - lubksb(a,npar,indx,x); for (i=1;i<=npar;i++){ - y[i][j]=x[i]; - printf("%.3e ",y[i][j]); - fprintf(ficlog,"%.3e ",y[i][j]); + printf("%.2f ",y[i][j]); + fprintf(ficlog,"%.2f ",y[i][j]); } printf("\n"); fprintf(ficlog,"\n"); } - */ +#endif free_matrix(a,1,npar,1,npar); free_matrix(y,1,npar,1,npar); free_vector(x,1,npar); free_ivector(indx,1,npar); - free_matrix(hess,1,npar,1,npar); + /* free_matrix(hess,1,npar,1,npar); */ } /*************** hessian matrix ****************/ double hessii(double x[], double delta, int theta, double delti[], double (*func)(double []), int npar) -{ +{ /* Around values of x, computes the function func and returns the scales delti and hessian */ int i; int l=1, lmax=20; - double k1,k2; + double k1,k2, res, fx; double p2[MAXPARM+1]; /* identical to x */ - double res; double delt=0.0001, delts, nkhi=10.,nkhif=1., khi=1.e-4; - double fx; int k=0,kmax=10; double l1; @@ -2797,9 +3462,9 @@ double hessii(double x[], double delta, p2[theta]=x[theta]-delt; k2=func(p2)-fx; /*res= (k1-2.0*fx+k2)/delt/delt; */ - res= (k1+k2)/delt/delt/2.; /* Divided by because L and not 2*L */ + res= (k1+k2)/delt/delt/2.; /* Divided by 2 because L and not 2*L */ -#ifdef DEBUGHESS +#ifdef DEBUGHESSII 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 @@ -2813,48 +3478,125 @@ double hessii(double x[], double delta, else if((k1 >khi/nkhi) || (k2 >khi/nkhi)){ delts=delt; } - } + } /* End loop k */ } delti[theta]=delts; return res; } -double hessij( double x[], double delti[], int thetai,int thetaj,double (*func)(double []),int npar) +double hessij( double x[], double **hess, double delti[], int thetai,int thetaj,double (*func)(double []),int npar) { int i; int l=1, lmax=20; double k1,k2,k3,k4,res,fx; double p2[MAXPARM+1]; - int k; + int k, kmax=1; + double v1, v2, cv12, lc1, lc2; + int firstime=0; + fx=func(x); - for (k=1; k<=2; k++) { + for (k=1; k<=kmax; k=k+10) { for (i=1;i<=npar;i++) p2[i]=x[i]; - p2[thetai]=x[thetai]+delti[thetai]/k; - p2[thetaj]=x[thetaj]+delti[thetaj]/k; + p2[thetai]=x[thetai]+delti[thetai]*k; + p2[thetaj]=x[thetaj]+delti[thetaj]*k; k1=func(p2)-fx; - p2[thetai]=x[thetai]+delti[thetai]/k; - p2[thetaj]=x[thetaj]-delti[thetaj]/k; + p2[thetai]=x[thetai]+delti[thetai]*k; + p2[thetaj]=x[thetaj]-delti[thetaj]*k; k2=func(p2)-fx; - p2[thetai]=x[thetai]-delti[thetai]/k; - p2[thetaj]=x[thetaj]+delti[thetaj]/k; + p2[thetai]=x[thetai]-delti[thetai]*k; + p2[thetaj]=x[thetaj]+delti[thetaj]*k; k3=func(p2)-fx; - p2[thetai]=x[thetai]-delti[thetai]/k; - p2[thetaj]=x[thetaj]-delti[thetaj]/k; + p2[thetai]=x[thetai]-delti[thetai]*k; + p2[thetaj]=x[thetaj]-delti[thetaj]*k; k4=func(p2)-fx; - res=(k1-k2-k3+k4)/4.0/delti[thetai]*k/delti[thetaj]*k/2.; /* Because of L not 2*L */ -#ifdef DEBUG - printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); - fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); + res=(k1-k2-k3+k4)/4.0/delti[thetai]/k/delti[thetaj]/k/2.; /* Because of L not 2*L */ + if(k1*k2*k3*k4 <0.){ + firstime=1; + kmax=kmax+10; + } + if(kmax >=10 || firstime ==1){ + printf("Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you may increase ftol=%.2e\n",thetai,thetaj, ftol); + fprintf(ficlog,"Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you may increase ftol=%.2e\n",thetai,thetaj, ftol); + printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti*k=%.12e deltj*k=%.12e, xi-de*k=%.12e xj-de*k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); + fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti*k=%.12e deltj*k=%.12e, xi-de*k=%.12e xj-de*k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); + } +#ifdef DEBUGHESSIJ + v1=hess[thetai][thetai]; + v2=hess[thetaj][thetaj]; + cv12=res; + /* Computing eigen value of Hessian matrix */ + 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("Warning: sub Hessian matrix '%d%d' does not have positive eigen values \n",thetai,thetaj); + fprintf(ficlog, "Warning: sub Hessian matrix '%d%d' does not have positive eigen values \n",thetai,thetaj); + printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); + fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); + } #endif } return res; } + /* Not done yet: Was supposed to fix if not exactly at the maximum */ +/* double hessij( double x[], double delti[], int thetai,int thetaj,double (*func)(double []),int npar) */ +/* { */ +/* int i; */ +/* int l=1, lmax=20; */ +/* double k1,k2,k3,k4,res,fx; */ +/* double p2[MAXPARM+1]; */ +/* double delt=0.0001, delts, nkhi=10.,nkhif=1., khi=1.e-4; */ +/* int k=0,kmax=10; */ +/* double l1; */ + +/* fx=func(x); */ +/* for(l=0 ; l <=lmax; l++){ /\* Enlarging the zone around the Maximum *\/ */ +/* l1=pow(10,l); */ +/* delts=delt; */ +/* for(k=1 ; k khi/nkhif) || (k2 >khi/nkhif) || (k4 >khi/nkhif) || (k4 >khi/nkhif)){ /\* Keeps lastvalue before 3.84/2 KHI2 5% 1d.f. *\/ */ +/* k=kmax; l=lmax*10; */ +/* } */ +/* else if((k1 >khi/nkhi) || (k2 >khi/nkhi)){ */ +/* delts=delt; */ +/* } */ +/* } /\* End loop k *\/ */ +/* } */ +/* delti[theta]=delts; */ +/* return res; */ +/* } */ + + /************** Inverse of matrix **************/ void ludcmp(double **a, int n, int *indx, double *d) { @@ -2935,264 +3677,418 @@ void pstamp(FILE *fichier) } /************ Frequencies ********************/ -void freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, int *Tvaraff, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[]) -{ /* Some frequencies */ - - int i, m, jk, j1, bool, z1,j; - int first; - double ***freq; /* Frequencies */ - double *pp, **prop; - double pos,posprop, k2, dateintsum=0,k2cpt=0; - char fileresp[FILENAMELENGTH]; - - pp=vector(1,nlstate); - prop=matrix(1,nlstate,iagemin,iagemax+3); - strcpy(fileresp,"p"); - strcat(fileresp,fileres); - if((ficresp=fopen(fileresp,"w"))==NULL) { - printf("Problem with prevalence resultfile: %s\n", fileresp); - fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp); - exit(0); - } - freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin,iagemax+3); - j1=0; - - j=cptcoveff; - if (cptcovn<1) {j=1;ncodemax[1]=1;} + void freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, \ + int *Tvaraff, int *invalidvarcomb, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[], \ + int firstpass, int lastpass, int stepm, int weightopt, char model[]) + { /* Some frequencies */ + + int i, m, jk, j1, bool, z1,j; + int iind=0, iage=0; + int mi; /* Effective wave */ + int first; + double ***freq; /* Frequencies */ + double *pp, **prop, *posprop, *pospropt; + double pos=0., posproptt=0., pospropta=0., k2, dateintsum=0,k2cpt=0; + char fileresp[FILENAMELENGTH], fileresphtm[FILENAMELENGTH], fileresphtmfr[FILENAMELENGTH]; + double agebegin, ageend; + + pp=vector(1,nlstate); + prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+3+AGEMARGE); + posprop=vector(1,nlstate); /* Counting the number of transition starting from a live state per age */ + pospropt=vector(1,nlstate); /* Counting the number of transition starting from a live state */ + /* prop=matrix(1,nlstate,iagemin,iagemax+3); */ + strcpy(fileresp,"P_"); + strcat(fileresp,fileresu); + /*strcat(fileresphtm,fileresu);*/ + if((ficresp=fopen(fileresp,"w"))==NULL) { + printf("Problem with prevalence resultfile: %s\n", fileresp); + fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp); + exit(0); + } + + strcpy(fileresphtm,subdirfext(optionfilefiname,"PHTM_",".htm")); + if((ficresphtm=fopen(fileresphtm,"w"))==NULL) { + printf("Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); + fprintf(ficlog,"Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); + fflush(ficlog); + exit(70); + } + else{ + fprintf(ficresphtm,"\nIMaCh PHTM_ %s\n %s
%s \ +
\n\ +Title=%s
Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s
\n",\ + fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); + } + fprintf(ficresphtm,"Current page is file %s
\n\n

Frequencies and prevalence by age at begin of transition

\n",fileresphtm, fileresphtm); + + strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm")); + if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) { + printf("Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); + fprintf(ficlog,"Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); + fflush(ficlog); + exit(70); + } + else{ + fprintf(ficresphtmfr,"\nIMaCh PHTM_Frequency table %s\n %s
%s \ +
\n\ +Title=%s
Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s
\n",\ + fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); + } + fprintf(ficresphtmfr,"Current page is file %s
\n\n

Frequencies of all effective transitions by age at begin of transition

Unknown status is -1
\n",fileresphtmfr, fileresphtmfr); + + freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin-AGEMARGE,iagemax+3+AGEMARGE); + j1=0; + + j=cptcoveff; + if (cptcovn<1) {j=1;ncodemax[1]=1;} + + first=1; + + /* Detects if a combination j1 is empty: for a multinomial variable like 3 education levels: + reference=low_education V1=0,V2=0 + med_educ V1=1 V2=0, + high_educ V1=0 V2=1 + Then V1=1 and V2=1 is a noisy combination that we want to exclude for the list 2**cptcoveff + */ - first=1; + for (j1 = 1; j1 <= (int) pow(2,cptcoveff); j1++){ /* Loop on covariates combination */ + posproptt=0.; + /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); + scanf("%d", i);*/ + 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; + posprop[i]=0; + pospropt[i]=0; + } + + dateintsum=0; + k2cpt=0; - /* for(k1=1; k1<=j ; k1++){ */ /* Loop on covariates */ - /* for(i1=1; i1<=ncodemax[k1];i1++){ */ /* Now it is 2 */ - /* j1++; */ - for (j1 = 1; j1 <= (int) pow(2,cptcoveff); j1++){ - /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); - scanf("%d", i);*/ - 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; - - dateintsum=0; - k2cpt=0; - for (i=1; i<=imx; i++) { - bool=1; - 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]][codtabm(j1,z1)]){ - /* Tests if the value of each of the covariates of i is equal to filter j1 */ - bool=0; - /* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", + for (iind=1; iind<=imx; iind++) { /* For each individual iind */ + bool=1; + 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]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){ + /* Tests if the value of each of the covariates of i is equal to filter j1 */ + bool=0; + /* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1), j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/ - /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ - } - } - - if (bool==1){ - for(m=firstpass; m<=lastpass; m++){ - k2=anint[m][i]+(mint[m][i]/12.); - /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/ - if(agev[m][i]==0) agev[m][i]=iagemax+1; - if(agev[m][i]==1) agev[m][i]=iagemax+2; - if (s[m][i]>0 && s[m][i]<=nlstate) prop[s[m][i]][(int)agev[m][i]] += weight[i]; - if (m1) && (agev[m][i]< (iagemax+3))) { - dateintsum=dateintsum+k2; - k2cpt++; - } - /*}*/ - } - } - } /* end i */ - - /* 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]][codtabm(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]][codtabm(j1,z1)]); - fprintf(ficlog, "**********\n#"); - } - for(i=1; i<=nlstate;i++) - fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i); - fprintf(ficresp, "\n"); - - for(i=iagemin; i <= iagemax+3; i++){ - if(i==iagemax+3){ - fprintf(ficlog,"Total"); - }else{ - if(first==1){ - first=0; - printf("See log file for details...\n"); - } - fprintf(ficlog,"Age %d", i); - } - for(jk=1; jk <=nlstate ; jk++){ - for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) - pp[jk] += freq[jk][m][i]; - } - for(jk=1; jk <=nlstate ; jk++){ - for(m=-1, pos=0; m <=0 ; m++) - 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]); - } - fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); - }else{ - if(first==1) - printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); - fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); - } - } - - for(jk=1; jk <=nlstate ; jk++){ - for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++) - pp[jk] += freq[jk][m][i]; - } - for(jk=1,pos=0,posprop=0; jk <=nlstate ; jk++){ - pos += pp[jk]; - posprop += prop[jk][i]; - } - for(jk=1; jk <=nlstate ; jk++){ - if(pos>=1.e-5){ - if(first==1) - printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); - fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); - }else{ - if(first==1) - printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); - fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); - } - if( i <= iagemax){ - if(pos>=1.e-5){ - fprintf(ficresp," %d %.5f %.0f %.0f",i,prop[jk][i]/posprop, prop[jk][i],posprop); - /*probs[i][jk][j1]= pp[jk]/pos;*/ - /*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/ - } - else - fprintf(ficresp," %d NaNq %.0f %.0f",i,prop[jk][i],posprop); - } - } - - for(jk=-1; jk <=nlstate+ndeath; jk++) - for(m=-1; m <=nlstate+ndeath; m++) - if(freq[jk][m][i] !=0 ) { - if(first==1) - printf(" %d%d=%.0f",jk,m,freq[jk][m][i]); - fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]); - } - if(i <= iagemax) - fprintf(ficresp,"\n"); - if(first==1) - printf("Others in log...\n"); - fprintf(ficlog,"\n"); - } - /*}*/ - } - dateintmean=dateintsum/k2cpt; - - fclose(ficresp); - 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 */ -} + /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ + } + } /* end z1 */ + } /* cptcovn > 0 */ + + if (bool==1){ + /* for(m=firstpass; m<=lastpass; m++){ */ + for(mi=1; mi=firstpass && m <=lastpass){ + k2=anint[m][iind]+(mint[m][iind]/12.); + /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/ + if(agev[m][iind]==0) agev[m][iind]=iagemax+1; /* All ages equal to 0 are in iagemax+1 */ + if(agev[m][iind]==1) agev[m][iind]=iagemax+2; /* All ages equal to 1 are in iagemax+2 */ + if (s[m][iind]>0 && s[m][iind]<=nlstate) /* If status at wave m is known and a live state */ + prop[s[m][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ + if (m1) && (agev[m][iind]< (iagemax+3)) && (anint[m][iind]!=9999) && (mint[m][iind]!=99)) { + dateintsum=dateintsum+k2; + k2cpt++; + /* printf("iind=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",iind, dateintsum/k2cpt, dateintsum,k2cpt, k2); */ + } + /*}*/ + } /* end m */ + } /* end bool */ + } /* end iind = 1 to imx */ + /* prop[s][age] is feeded for any initial and valid live state as well as + freq[s1][s2][age] at single age of beginning the transition, for a combination j1 */ + + + /* 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 "); + fprintf(ficresphtm, "\n

********** Variable "); + fprintf(ficresphtmfr, "\n

********** Variable "); + for (z1=1; z1<=cptcoveff; z1++){ + fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresphtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresphtmfr, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + } + fprintf(ficresp, "**********\n#"); + fprintf(ficresphtm, "**********

\n"); + fprintf(ficresphtmfr, "**********\n"); + fprintf(ficlog, "\n#********** Variable "); + for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficlog, "**********\n"); + } + fprintf(ficresphtm,""); + for(i=1; i<=nlstate;i++) { + fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i); + fprintf(ficresphtm, "",i,i); + } + fprintf(ficresp, "\n"); + fprintf(ficresphtm, "\n"); + + /* Header of frequency table by age */ + fprintf(ficresphtmfr,"
AgePrev(%d)N(%d)N
"); + fprintf(ficresphtmfr," "); + for(jk=-1; jk <=nlstate+ndeath; jk++){ + for(m=-1; m <=nlstate+ndeath; m++){ + if(jk!=0 && m!=0) + fprintf(ficresphtmfr," ",jk,m); + } + } + fprintf(ficresphtmfr, "\n"); + + /* For each age */ + for(iage=iagemin; iage <= iagemax+3; iage++){ + fprintf(ficresphtm,""); + if(iage==iagemax+1){ + fprintf(ficlog,"1"); + fprintf(ficresphtmfr," "); + }else if(iage==iagemax+2){ + fprintf(ficlog,"0"); + fprintf(ficresphtmfr," "); + }else if(iage==iagemax+3){ + fprintf(ficlog,"Total"); + fprintf(ficresphtmfr," "); + }else{ + if(first==1){ + first=0; + printf("See log file for details...\n"); + } + fprintf(ficresphtmfr," ",iage); + fprintf(ficlog,"Age %d", iage); + } + for(jk=1; jk <=nlstate ; jk++){ + for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) + pp[jk] += freq[jk][m][iage]; + } + for(jk=1; jk <=nlstate ; jk++){ + for(m=-1, pos=0; m <=0 ; m++) + pos += freq[jk][m][iage]; + if(pp[jk]>=1.e-10){ + if(first==1){ + 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{ + if(first==1) + printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); + fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); + } + } + + for(jk=1; jk <=nlstate ; jk++){ + /* posprop[jk]=0; */ + for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)/* Summing on all ages */ + pp[jk] += freq[jk][m][iage]; + } /* pp[jk] is the total number of transitions starting from state jk and any ending status until this age */ + + for(jk=1,pos=0, pospropta=0.; jk <=nlstate ; jk++){ + pos += pp[jk]; /* pos is the total number of transitions until this age */ + posprop[jk] += prop[jk][iage]; /* prop is the number of transitions from a live state + from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ + pospropta += prop[jk][iage]; /* prop is the number of transitions from a live state + from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ + } + for(jk=1; jk <=nlstate ; jk++){ + if(pos>=1.e-5){ + if(first==1) + printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); + fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); + }else{ + if(first==1) + printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); + fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); + } + if( iage <= iagemax){ + if(pos>=1.e-5){ + fprintf(ficresp," %d %.5f %.0f %.0f",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); + fprintf(ficresphtm,"",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); + /*probs[iage][jk][j1]= pp[jk]/pos;*/ + /*printf("\niage=%d jk=%d j1=%d %.5f %.0f %.0f %f",iage,jk,j1,pp[jk]/pos, pp[jk],pos,probs[iage][jk][j1]);*/ + } + else{ + fprintf(ficresp," %d NaNq %.0f %.0f",iage,prop[jk][iage],pospropta); + fprintf(ficresphtm,"",iage, prop[jk][iage],pospropta); + } + } + pospropt[jk] +=posprop[jk]; + } /* end loop jk */ + /* pospropt=0.; */ + for(jk=-1; jk <=nlstate+ndeath; jk++){ + for(m=-1; m <=nlstate+ndeath; m++){ + if(freq[jk][m][iage] !=0 ) { /* minimizing output */ + if(first==1){ + printf(" %d%d=%.0f",jk,m,freq[jk][m][iage]); + } + fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][iage]); + } + if(jk!=0 && m!=0) + fprintf(ficresphtmfr," ",freq[jk][m][iage]); + } + } /* end loop jk */ + posproptt=0.; + for(jk=1; jk <=nlstate; jk++){ + posproptt += pospropt[jk]; + } + fprintf(ficresphtmfr,"\n "); + if(iage <= iagemax){ + fprintf(ficresp,"\n"); + fprintf(ficresphtm,"\n"); + } + if(first==1) + printf("Others in log...\n"); + fprintf(ficlog,"\n"); + } /* end loop age iage */ + fprintf(ficresphtm,""); + for(jk=1; jk <=nlstate ; jk++){ + if(posproptt < 1.e-5){ + fprintf(ficresphtm,"",pospropt[jk],posproptt); + }else{ + fprintf(ficresphtm,"",pospropt[jk]/posproptt,pospropt[jk],posproptt); + } + } + fprintf(ficresphtm,"\n"); + fprintf(ficresphtm,"
Age%d%d
0
Unknown
Total
%d%d%.5f%.0f%.0f%dNaNq%.0f%.0f%.0f
TotNanq%.0f%.0f%.5f%.0f%.0f
\n"); + fprintf(ficresphtmfr,"\n"); + if(posproptt < 1.e-5){ + fprintf(ficresphtm,"\n

This combination (%d) is not valid and no result will be produced

",j1); + fprintf(ficresphtmfr,"\n

This combination (%d) is not valid and no result will be produced

",j1); + fprintf(ficres,"\n This combination (%d) is not valid and no result will be produced\n\n",j1); + invalidvarcomb[j1]=1; + }else{ + fprintf(ficresphtm,"\n

This combination (%d) is valid and result will be produced.

",j1); + invalidvarcomb[j1]=0; + } + fprintf(ficresphtmfr,"\n"); + } /* end selected combination of covariate j1 */ + dateintmean=dateintsum/k2cpt; + + fclose(ficresp); + fclose(ficresphtm); + fclose(ficresphtmfr); + free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin-AGEMARGE, iagemax+3+AGEMARGE); + free_vector(pospropt,1,nlstate); + free_vector(posprop,1,nlstate); + free_matrix(prop,1,nlstate,iagemin-AGEMARGE, iagemax+3+AGEMARGE); + free_vector(pp,1,nlstate); + /* End of Freq */ + } /************ Prevalence ********************/ -void prevalence(double ***probs, double agemin, double agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, int firstpass, int lastpass) -{ - /* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people - in each health status at the date of interview (if between dateprev1 and dateprev2). - We still use firstpass and lastpass as another selection. - */ + void prevalence(double ***probs, double agemin, double agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, int firstpass, int lastpass) + { + /* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people + in each health status at the date of interview (if between dateprev1 and dateprev2). + We still use firstpass and lastpass as another selection. + */ - int i, m, jk, j1, bool, z1,j; - - double **prop; - double posprop; - double y2; /* in fractional years */ - int iagemin, iagemax; - int first; /** to stop verbosity which is redirected to log file */ - - iagemin= (int) agemin; - iagemax= (int) agemax; - /*pp=vector(1,nlstate);*/ - prop=matrix(1,nlstate,iagemin,iagemax+3); - /* freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/ - j1=0; - - /*j=cptcoveff;*/ - if (cptcovn<1) {j=1;ncodemax[1]=1;} - - first=1; - for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ - /*for(i1=1; i1<=ncodemax[k1];i1++){ - j1++;*/ - - for (i=1; i<=nlstate; i++) - for(m=iagemin; m <= iagemax+3; m++) - prop[i][m]=0.0; - - for (i=1; i<=imx; i++) { /* Each individual */ - bool=1; - if (cptcovn>0) { - for (z1=1; z1<=cptcoveff; z1++) - if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) - bool=0; - } - if (bool==1) { - for(m=firstpass; m<=lastpass; m++){/* Other selection (we can limit to certain interviews*/ - y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */ - if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */ - if(agev[m][i]==0) agev[m][i]=iagemax+1; - if(agev[m][i]==1) agev[m][i]=iagemax+2; - if((int)agev[m][i] iagemax+3) printf("Error on individual =%d agev[m][i]=%f m=%d\n",i, agev[m][i],m); - if (s[m][i]>0 && s[m][i]<=nlstate) { - /*if(i>4620) printf(" i=%d m=%d s[m][i]=%d (int)agev[m][i]=%d weight[i]=%f prop=%f\n",i,m,s[m][i],(int)agev[m][m],weight[i],prop[s[m][i]][(int)agev[m][i]]);*/ - prop[s[m][i]][(int)agev[m][i]] += weight[i]; - prop[s[m][i]][iagemax+3] += weight[i]; - } - } - } /* end selection of waves */ - } - } - for(i=iagemin; i <= iagemax+3; i++){ - for(jk=1,posprop=0; jk <=nlstate ; jk++) { - posprop += prop[jk][i]; - } - - for(jk=1; jk <=nlstate ; jk++){ - if( i <= iagemax){ - if(posprop>=1.e-5){ - probs[i][jk][j1]= prop[jk][i]/posprop; - } else{ - if(first==1){ - first=0; - printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\nSee others on log file...\n",jk,i,j1,probs[i][jk][j1]); - } - } - } - }/* end jk */ - }/* end i */ - /*} *//* end i1 */ - } /* end j1 */ - - /* free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/ - /*free_vector(pp,1,nlstate);*/ - free_matrix(prop,1,nlstate, iagemin,iagemax+3); -} /* End of prevalence */ + int i, m, jk, j1, bool, z1,j; + int mi; /* Effective wave */ + int iage; + double agebegin, ageend; + + double **prop; + double posprop; + double y2; /* in fractional years */ + int iagemin, iagemax; + int first; /** to stop verbosity which is redirected to log file */ + + iagemin= (int) agemin; + iagemax= (int) agemax; + /*pp=vector(1,nlstate);*/ + prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+3+AGEMARGE); + /* freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/ + j1=0; + + /*j=cptcoveff;*/ + if (cptcovn<1) {j=1;ncodemax[1]=1;} + + first=1; + for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ /* For each combination of covariate */ + for (i=1; i<=nlstate; i++) + for(iage=iagemin-AGEMARGE; iage <= iagemax+3+AGEMARGE; iage++) + prop[i][iage]=0.0; + + for (i=1; i<=imx; i++) { /* Each individual */ + bool=1; + if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ + for (z1=1; z1<=cptcoveff; z1++) /* For each covariate, look at the value for individual i and checks if it is equal to the corresponding value of this covariate according to current combination j1*/ + if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) + bool=0; + } + if (bool==1) { /* For this combination of covariates values, this individual fits */ + /* for(m=firstpass; m<=lastpass; m++){/\* Other selection (we can limit to certain interviews*\/ */ + for(mi=1; mi=firstpass && m <=lastpass){ + y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */ + if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */ + if(agev[m][i]==0) agev[m][i]=iagemax+1; + if(agev[m][i]==1) agev[m][i]=iagemax+2; + if((int)agev[m][i] iagemax+3+AGEMARGE){ + printf("Error on individual # %d agev[m][i]=%f <%d-%d or > %d+3+%d m=%d; either change agemin or agemax or fix data\n",i, agev[m][i],iagemin,AGEMARGE, iagemax,AGEMARGE,m); + exit(1); + } + if (s[m][i]>0 && s[m][i]<=nlstate) { + /*if(i>4620) printf(" i=%d m=%d s[m][i]=%d (int)agev[m][i]=%d weight[i]=%f prop=%f\n",i,m,s[m][i],(int)agev[m][m],weight[i],prop[s[m][i]][(int)agev[m][i]]);*/ + prop[s[m][i]][(int)agev[m][i]] += weight[i];/* At age of beginning of transition, where status is known */ + prop[s[m][i]][iagemax+3] += weight[i]; + } /* end valid statuses */ + } /* end selection of dates */ + } /* end selection of waves */ + } /* end effective waves */ + } /* end bool */ + } + for(i=iagemin; i <= iagemax+3; i++){ + for(jk=1,posprop=0; jk <=nlstate ; jk++) { + posprop += prop[jk][i]; + } + + for(jk=1; jk <=nlstate ; jk++){ + if( i <= iagemax){ + if(posprop>=1.e-5){ + probs[i][jk][j1]= prop[jk][i]/posprop; + } else{ + if(first==1){ + first=0; + printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\nSee others on log file...\n",jk,i,j1,probs[i][jk][j1]); + } + } + } + }/* end jk */ + }/* end i */ + /*} *//* end i1 */ + } /* end j1 */ + + /* free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/ + /*free_vector(pp,1,nlstate);*/ + free_matrix(prop,1,nlstate, iagemin-AGEMARGE,iagemax+3+AGEMARGE); + } /* End of prevalence */ /************* Waves Concatenation ***************/ @@ -3208,31 +4104,73 @@ void concatwav(int wav[], int **dh, int int i, mi, m; /* int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1; double sum=0., jmean=0.;*/ - int first; + int first, firstwo, firsthree, firstfour; int j, k=0,jk, ju, jl; double sum=0.; first=0; + firstwo=0; + firsthree=0; + firstfour=0; jmin=100000; jmax=-1; jmean=0.; - for(i=1; i<=imx; i++){ + for(i=1; i<=imx; i++){ /* For simple cases and if state is death */ mi=0; m=firstpass; - while(s[m][i] <= nlstate){ - if(s[m][i]>=1 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5) + while(s[m][i] <= nlstate){ /* a live state */ + if(s[m][i]>=1 || s[m][i]==-4 || s[m][i]==-5){ /* Since 0.98r4 if status=-2 vital status is really unknown, wave should be skipped */ mw[++mi][i]=m; - if(m >=lastpass) + } + if(m >=lastpass){ + if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){ + if(firsthree == 0){ + printf("Information! Unknown health status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m); + firsthree=1; + } + fprintf(ficlog,"Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood.\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m); + mw[++mi][i]=m; + } + if(s[m][i]==-2){ /* Vital status is really unknown */ + nbwarn++; + if((int)anint[m][i] == 9999){ /* Has the vital status really been verified? */ + printf("Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m); + fprintf(ficlog,"Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m); + } + break; + } break; + } else m++; }/* end while */ - if (s[m][i] > nlstate){ + + /* After last pass */ + if (s[m][i] > nlstate){ /* In a death state */ mi++; /* Death is another wave */ /* if(mi==0) never been interviewed correctly before death */ /* Only death is a correct wave */ mw[mi][i]=m; + }else if ((int) andc[i] != 9999) { /* Status is either death or negative. A death occured after lastpass, we can't take it into account because of potential bias */ + /* m++; */ + /* mi++; */ + /* s[m][i]=nlstate+1; /\* We are setting the status to the last of non live state *\/ */ + /* mw[mi][i]=m; */ + nberr++; + if ((int)anint[m][i]!= 9999) { /* date of last interview is known */ + if(firstwo==0){ + printf("Error! Death for individual %ld line=%d occurred %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); + firstwo=1; + } + fprintf(ficlog,"Error! Death for individual %ld line=%d occurred %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); + }else{ /* end date of interview is known */ + /* death is known but not confirmed by death status at any wave */ + if(firstfour==0){ + printf("Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); + firstfour=1; + } + fprintf(ficlog,"Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); + } } - wav[i]=mi; if(mi==0){ nbwarn++; @@ -3245,7 +4183,9 @@ void concatwav(int wav[], int **dh, int } } /* end mi==0 */ } /* End individuals */ + /* wav and mw are no more changed */ + for(i=1; i<=imx; i++){ for(mi=1; mi 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0 */ + * If product of Vn*Vm, still boolean *: + * If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables + * 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0 */ /* Finds for covariate j, n=Tvar[j] of Vn . ij is the modality of the nth covariate of individual i. */ if (ij > modmaxcovj) modmaxcovj=ij; else if (ij < modmincovj) - modmincovj=ij; + modmincovj=ij; if ((ij < -1) && (ij > NCOVMAX)){ - printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); - exit(1); + printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); + exit(1); }else Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/ /* If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */ @@ -3391,19 +4332,19 @@ void tricode(int *Tvar, int **nbcode, in printf("Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]); fprintf(ficlog, "Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]); if( Ndum[k] != 0 ){ /* Counts if nobody answered modality k ie empty modality, we skip it and reorder */ - if( k != -1){ - ncodemax[j]++; /* ncodemax[j]= Number of modalities of the j th - covariate for which somebody answered excluding - undefined. Usually 2: 0 and 1. */ - } - ncodemaxwundef[j]++; /* ncodemax[j]= Number of modalities of the j th - covariate for which somebody answered including - undefined. Usually 3: -1, 0 and 1. */ + if( k != -1){ + ncodemax[j]++; /* ncodemax[j]= Number of modalities of the j th + covariate for which somebody answered excluding + undefined. Usually 2: 0 and 1. */ + } + ncodemaxwundef[j]++; /* ncodemax[j]= Number of modalities of the j th + covariate for which somebody answered including + undefined. Usually 3: -1, 0 and 1. */ } /* In fact ncodemax[j]=2 (dichotom. variables only) but it could be more for - historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */ + historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */ } /* Ndum[-1] number of undefined modalities */ - + /* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */ /* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7. If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125; @@ -3420,8 +4361,8 @@ void tricode(int *Tvar, int **nbcode, in ij=0; /* ij is similar to i but can jump over null modalities */ for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/ if (Ndum[i] == 0) { /* If nobody responded to this modality k */ - break; - } + break; + } ij++; nbcode[Tvar[j]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality.*/ cptcode = ij; /* New max modality for covar j */ @@ -3442,28 +4383,29 @@ void tricode(int *Tvar, int **nbcode, in /* } /\* end of loop on modality k *\/ */ } /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/ - for (k=-1; k< maxncov; k++) Ndum[k]=0; + for (k=-1; k< maxncov; k++) Ndum[k]=0; for (i=1; i<=ncovmodel-2-nagesqr; i++) { /* -2, cste and age and eventually age*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]++; /* Might be supersed V1 + V1*age */ - } - - ij=0; - for (i=0; i<= maxncov-1; i++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ - /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ - if((Ndum[i]!=0) && (i<=ncovcol)){ - ij++; - /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ - Tvaraff[ij]=i; /*For printing (unclear) */ - }else{ - /* Tvaraff[ij]=0; */ - } - } - /* ij--; */ - cptcoveff=ij; /*Number of total covariates*/ - + /* 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]++; /* Might be supersed V1 + V1*age */ + } + + ij=0; + for (i=0; i<= maxncov-1; i++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ + /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ + if((Ndum[i]!=0) && (i<=ncovcol)){ + ij++; + /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ + Tvaraff[ij]=i; /*For printing (unclear) */ + }else{ + /* Tvaraff[ij]=0; */ + } + } + /* ij--; */ + /* cptcoveff=ij; /\*Number of total covariates*\/ */ + *cptcov=ij; /*Number of total covariates*/ + } @@ -3581,7 +4523,7 @@ void cvevsij(double ***eij, double x[], { /* Covariances of health expectancies eij and of total life expectancies according - to initial status i, ei. . + 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 */ @@ -3675,13 +4617,13 @@ void cvevsij(double ***eij, double x[], /* 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 */ hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ - + /* Computing Variances of health expectancies */ /* Gradient is computed with plus gp and minus gm. Code is duplicated in order to decrease memory allocation */ @@ -3692,7 +4634,7 @@ void cvevsij(double ***eij, double x[], } hpxij(p3matp,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, cij); hpxij(p3matm,nhstepm,age,hstepm,xm,nlstate,stepm,oldm,savm, cij); - + for(j=1; j<= nlstate; j++){ for(i=1; i<=nlstate; i++){ for(h=0; h<=nhstepm-1; h++){ @@ -3701,7 +4643,7 @@ void cvevsij(double ***eij, double x[], } } } - + for(ij=1; ij<= nlstate*nlstate; ij++) for(h=0; h<=nhstepm-1; h++){ gradg[h][theta][ij]= (gp[h][ij]-gm[h][ij])/2./delti[theta]; @@ -3714,14 +4656,14 @@ void cvevsij(double ***eij, double x[], for(theta=1; theta <=npar; theta++) trgradg[h][j][theta]=gradg[h][theta][j]; - - for(ij=1;ij<=nlstate*nlstate;ij++) + + 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); - for(h=0;h<=nhstepm-1;h++){ + + printf("%d|",(int)age);fflush(stdout); + fprintf(ficlog,"%d|",(int)age);fflush(ficlog); + for(h=0;h<=nhstepm-1;h++){ 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]); @@ -3730,18 +4672,18 @@ void cvevsij(double ***eij, double x[], 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] += (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]);*/ - + } - + fprintf(ficresstdeij,"%3.0f",age ); for(i=1; i<=nlstate;i++){ eip=0.; @@ -3755,7 +4697,7 @@ void cvevsij(double ***eij, double x[], 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++){ @@ -3768,7 +4710,7 @@ void cvevsij(double ***eij, double x[], } } fprintf(ficrescveij,"\n"); - + } free_matrix(gm,0,nhstepm,1,nlstate*nlstate); free_matrix(gp,0,nhstepm,1,nlstate*nlstate); @@ -3778,328 +4720,332 @@ void cvevsij(double ***eij, double x[], 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); free_ma3x(varhe,1,nlstate*nlstate,1,nlstate*nlstate,(int) bage, (int)fage); } - + /************ 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, char strstart[]) -{ - /* Variance of health expectancies */ - /* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/ - /* double **newm;*/ - /* int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav)*/ - - int movingaverage(); - double **dnewm,**doldm; - double **dnewmp,**doldmp; - int i, j, nhstepm, hstepm, h, nstepm ; - int k; - double *xp; - double **gp, **gm; /* for var eij */ - double ***gradg, ***trgradg; /*for var eij */ - double **gradgp, **trgradgp; /* for var p point j */ - double *gpp, *gmp; /* for var p point j */ - double **varppt; /* for var p point j nlstate to nlstate+ndeath */ - double ***p3mat; - double age,agelim, hf; - double ***mobaverage; - int theta; - char digit[4]; - char digitp[25]; - - char fileresprobmorprev[FILENAMELENGTH]; + 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 *ncvyearp, 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);*/ + /* double **newm;*/ + /* int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav)*/ + + /* int movingaverage(); */ + double **dnewm,**doldm; + double **dnewmp,**doldmp; + int i, j, nhstepm, hstepm, h, nstepm ; + int k; + double *xp; + double **gp, **gm; /* for var eij */ + double ***gradg, ***trgradg; /*for var eij */ + double **gradgp, **trgradgp; /* for var p point j */ + double *gpp, *gmp; /* for var p point j */ + double **varppt; /* for var p point j nlstate to nlstate+ndeath */ + double ***p3mat; + double age,agelim, hf; + /* double ***mobaverage; */ + int theta; + char digit[4]; + char digitp[25]; + + char fileresprobmorprev[FILENAMELENGTH]; + + if(popbased==1){ + if(mobilav!=0) + strcpy(digitp,"-POPULBASED-MOBILAV_"); + else strcpy(digitp,"-POPULBASED-NOMOBIL_"); + } + else + strcpy(digitp,"-STABLBASED_"); - if(popbased==1){ - if(mobilav!=0) - strcpy(digitp,"-populbased-mobilav-"); - else strcpy(digitp,"-populbased-nomobil-"); - } - else - strcpy(digitp,"-stablbased-"); - - 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); - } - } - - strcpy(fileresprobmorprev,"prmorprev"); - sprintf(digit,"%-d",ij); - /*printf("DIGIT=%s, ij=%d ijr=%-d|\n",digit, ij,ij);*/ - strcat(fileresprobmorprev,digit); /* Tvar to be done */ - strcat(fileresprobmorprev,digitp); /* Popbased or not, mobilav or not */ - strcat(fileresprobmorprev,fileres); - if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) { - printf("Problem with resultfile: %s\n", fileresprobmorprev); - 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++){ - fprintf(ficresprobmorprev," p.%-d SE",j); - for(i=1; i<=nlstate;i++) - fprintf(ficresprobmorprev," w%1d p%-d%-d",i,i,j); - } - fprintf(ficresprobmorprev,"\n"); - fprintf(ficgp,"\n# Routine varevsij"); - fprintf(ficgp,"\nunset title \n"); -/* fprintf(fichtm, "#Local time at start: %s", strstart);*/ - fprintf(fichtm,"\n

  • Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)

    • \n"); - fprintf(fichtm,"\n
    %s
    \n",digitp); -/* } */ - varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); - 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,"\n"); - - xp=vector(1,npar); - dnewm=matrix(1,nlstate,1,npar); - doldm=matrix(1,nlstate,1,nlstate); - dnewmp= matrix(nlstate+1,nlstate+ndeath,1,npar); - doldmp= matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); - - gradgp=matrix(1,npar,nlstate+1,nlstate+ndeath); - gpp=vector(nlstate+1,nlstate+ndeath); - gmp=vector(nlstate+1,nlstate+ndeath); - trgradgp =matrix(nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/ - - if(estepm < stepm){ - printf ("Problem %d lower than %d\n",estepm, stepm); - } - else hstepm=estepm; - /* 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 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 - 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; - for (age=bage; age<=fage; age ++){ /* If stepm=6 months */ - nstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ - nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */ - p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); - gradg=ma3x(0,nhstepm,1,npar,1,nlstate); - gp=matrix(0,nhstepm,1,nlstate); - gm=matrix(0,nhstepm,1,nlstate); - - - for(theta=1; theta <=npar; theta++){ - for(i=1; i<=npar; i++){ /* Computes gradient x + delta*/ - xp[i] = x[i] + (i==theta ?delti[theta]:0); - } - hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij); - - if (popbased==1) { - if(mobilav ==0){ - for(i=1; i<=nlstate;i++) - prlim[i][i]=probs[(int)age][i][ij]; - }else{ /* mobilav */ - for(i=1; i<=nlstate;i++) - prlim[i][i]=mobaverage[(int)age][i][ij]; - } - } - - for(j=1; j<= nlstate; j++){ - for(h=0; h<=nhstepm; h++){ - for(i=1, gp[h][j]=0.;i<=nlstate;i++) - gp[h][j] += prlim[i][i]*p3mat[i][j][h]; - } - } - /* This for computing probability of death (h=1 means - computed over hstepm matrices product = hstepm*stepm months) - as a weighted average of prlim. - */ - for(j=nlstate+1;j<=nlstate+ndeath;j++){ - for(i=1,gpp[j]=0.; i<= nlstate; i++) - gpp[j] += prlim[i][i]*p3mat[i][j][1]; - } - /* end probability of death */ - - for(i=1; i<=npar; i++) /* Computes gradient x - delta */ - xp[i] = x[i] - (i==theta ?delti[theta]:0); - hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij); - - if (popbased==1) { - if(mobilav ==0){ - for(i=1; i<=nlstate;i++) - prlim[i][i]=probs[(int)age][i][ij]; - }else{ /* mobilav */ - for(i=1; i<=nlstate;i++) - prlim[i][i]=mobaverage[(int)age][i][ij]; - } - } - - 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]; - } - } - /* This for computing probability of death (h=1 means - computed over hstepm matrices product = hstepm*stepm months) - as a weighted average of prlim. - */ - for(j=nlstate+1;j<=nlstate+ndeath;j++){ - for(i=1,gmp[j]=0.; i<= nlstate; i++) - gmp[j] += prlim[i][i]*p3mat[i][j][1]; - } - /* end probability of death */ - - for(j=1; j<= nlstate; j++) /* vareij */ - for(h=0; h<=nhstepm; h++){ - gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta]; - } - - for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */ - gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta]; - } - - } /* End theta */ - - trgradg =ma3x(0,nhstepm,1,nlstate,1,npar); /* veij */ - - for(h=0; h<=nhstepm; h++) /* veij */ - for(j=1; j<=nlstate;j++) - for(theta=1; theta <=npar; theta++) - trgradg[h][j][theta]=gradg[h][theta][j]; - - for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */ - for(theta=1; theta <=npar; theta++) - trgradgp[j][theta]=gradgp[theta][j]; - - - hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ - for(i=1;i<=nlstate;i++) - for(j=1;j<=nlstate;j++) - vareij[i][j][(int)age] =0.; - - for(h=0;h<=nhstepm;h++){ - for(k=0;k<=nhstepm;k++){ - matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov); - matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg[k]); - for(i=1;i<=nlstate;i++) - for(j=1;j<=nlstate;j++) - vareij[i][j][(int)age] += doldm[i][j]*hf*hf; - } - } + /* 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); */ + /* } */ + /* } */ + + strcpy(fileresprobmorprev,"PRMORPREV-"); + sprintf(digit,"%-d",ij); + /*printf("DIGIT=%s, ij=%d ijr=%-d|\n",digit, ij,ij);*/ + strcat(fileresprobmorprev,digit); /* Tvar to be done */ + strcat(fileresprobmorprev,digitp); /* Popbased or not, mobilav or not */ + strcat(fileresprobmorprev,fileresu); + if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) { + printf("Problem with resultfile: %s\n", fileresprobmorprev); + 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++){ + fprintf(ficresprobmorprev," p.%-d SE",j); + for(i=1; i<=nlstate;i++) + fprintf(ficresprobmorprev," w%1d p%-d%-d",i,i,j); + } + fprintf(ficresprobmorprev,"\n"); + + fprintf(ficgp,"\n# Routine varevsij"); + fprintf(ficgp,"\nunset title \n"); + /* fprintf(fichtm, "#Local time at start: %s", strstart);*/ + fprintf(fichtm,"\n

  • Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)

    • \n"); + fprintf(fichtm,"\n
    %s
    \n",digitp); + /* } */ + varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); + 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,"\n"); + + xp=vector(1,npar); + dnewm=matrix(1,nlstate,1,npar); + doldm=matrix(1,nlstate,1,nlstate); + dnewmp= matrix(nlstate+1,nlstate+ndeath,1,npar); + doldmp= matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); + + gradgp=matrix(1,npar,nlstate+1,nlstate+ndeath); + gpp=vector(nlstate+1,nlstate+ndeath); + gmp=vector(nlstate+1,nlstate+ndeath); + trgradgp =matrix(nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/ - /* pptj */ - matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov); - matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp); - for(j=nlstate+1;j<=nlstate+ndeath;j++) - for(i=nlstate+1;i<=nlstate+ndeath;i++) - varppt[j][i]=doldmp[j][i]; - /* end ppptj */ - /* x centered again */ - hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij); - prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ij); - - if (popbased==1) { - if(mobilav ==0){ - for(i=1; i<=nlstate;i++) - prlim[i][i]=probs[(int)age][i][ij]; - }else{ /* mobilav */ - for(i=1; i<=nlstate;i++) - prlim[i][i]=mobaverage[(int)age][i][ij]; - } - } - - /* This for computing probability of death (h=1 means - computed over hstepm (estepm) matrices product = hstepm*stepm months) - as a weighted average of prlim. + if(estepm < stepm){ + printf ("Problem %d lower than %d\n",estepm, stepm); + } + else hstepm=estepm; + /* 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 agelim. + Look at function hpijx to understand why because of memory size limitations, + 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 + 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; + for (age=bage; age<=fage; age ++){ /* If stepm=6 months */ + nstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ + nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */ + p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + gradg=ma3x(0,nhstepm,1,npar,1,nlstate); + gp=matrix(0,nhstepm,1,nlstate); + gm=matrix(0,nhstepm,1,nlstate); + + + for(theta=1; theta <=npar; theta++){ + for(i=1; i<=npar; i++){ /* Computes gradient x + delta*/ + xp[i] = x[i] + (i==theta ?delti[theta]:0); + } + + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); + + if (popbased==1) { + if(mobilav ==0){ + for(i=1; i<=nlstate;i++) + prlim[i][i]=probs[(int)age][i][ij]; + }else{ /* mobilav */ + for(i=1; i<=nlstate;i++) + prlim[i][i]=mobaverage[(int)age][i][ij]; + } + } + + hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); /* Returns p3mat[i][j][h] for h=1 to nhstepm */ + for(j=1; j<= nlstate; j++){ + for(h=0; h<=nhstepm; h++){ + for(i=1, gp[h][j]=0.;i<=nlstate;i++) + gp[h][j] += prlim[i][i]*p3mat[i][j][h]; + } + } + /* Next for computing probability of death (h=1 means + computed over hstepm matrices product = hstepm*stepm months) + as a weighted average of prlim. + */ + for(j=nlstate+1;j<=nlstate+ndeath;j++){ + for(i=1,gpp[j]=0.; i<= nlstate; i++) + gpp[j] += prlim[i][i]*p3mat[i][j][1]; + } + /* end probability of death */ + + for(i=1; i<=npar; i++) /* Computes gradient x - delta */ + xp[i] = x[i] - (i==theta ?delti[theta]:0); + + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp, ij); + + if (popbased==1) { + if(mobilav ==0){ + for(i=1; i<=nlstate;i++) + prlim[i][i]=probs[(int)age][i][ij]; + }else{ /* mobilav */ + for(i=1; i<=nlstate;i++) + prlim[i][i]=mobaverage[(int)age][i][ij]; + } + } + + hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); + + 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]; + } + } + /* This for computing probability of death (h=1 means + computed over hstepm matrices product = hstepm*stepm months) + as a weighted average of prlim. + */ + for(j=nlstate+1;j<=nlstate+ndeath;j++){ + for(i=1,gmp[j]=0.; i<= nlstate; i++) + gmp[j] += prlim[i][i]*p3mat[i][j][1]; + } + /* end probability of death */ + + for(j=1; j<= nlstate; j++) /* vareij */ + for(h=0; h<=nhstepm; h++){ + gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta]; + } + + for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */ + gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta]; + } + + } /* End theta */ + + trgradg =ma3x(0,nhstepm,1,nlstate,1,npar); /* veij */ + + for(h=0; h<=nhstepm; h++) /* veij */ + for(j=1; j<=nlstate;j++) + for(theta=1; theta <=npar; theta++) + trgradg[h][j][theta]=gradg[h][theta][j]; + + for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */ + for(theta=1; theta <=npar; theta++) + trgradgp[j][theta]=gradgp[theta][j]; + + + hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ + for(i=1;i<=nlstate;i++) + for(j=1;j<=nlstate;j++) + vareij[i][j][(int)age] =0.; + + for(h=0;h<=nhstepm;h++){ + for(k=0;k<=nhstepm;k++){ + matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov); + matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg[k]); + for(i=1;i<=nlstate;i++) + for(j=1;j<=nlstate;j++) + vareij[i][j][(int)age] += doldm[i][j]*hf*hf; + } + } + + /* pptj */ + matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov); + matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp); + for(j=nlstate+1;j<=nlstate+ndeath;j++) + for(i=nlstate+1;i<=nlstate+ndeath;i++) + varppt[j][i]=doldmp[j][i]; + /* end ppptj */ + /* x centered again */ + + prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ncvyearp,ij); + + if (popbased==1) { + if(mobilav ==0){ + for(i=1; i<=nlstate;i++) + prlim[i][i]=probs[(int)age][i][ij]; + }else{ /* mobilav */ + for(i=1; i<=nlstate;i++) + prlim[i][i]=mobaverage[(int)age][i][ij]; + } + } + + /* This for computing probability of death (h=1 means + computed over hstepm (estepm) matrices product = hstepm*stepm months) + as a weighted average of prlim. + */ + hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij); + for(j=nlstate+1;j<=nlstate+ndeath;j++){ + for(i=1,gmp[j]=0.;i<= nlstate; i++) + gmp[j] += prlim[i][i]*p3mat[i][j][1]; + } + /* end probability of death */ + + fprintf(ficresprobmorprev,"%3d %d ",(int) age, ij); + for(j=nlstate+1; j<=(nlstate+ndeath);j++){ + fprintf(ficresprobmorprev," %11.3e %11.3e",gmp[j], sqrt(varppt[j][j])); + for(i=1; i<=nlstate;i++){ + fprintf(ficresprobmorprev," %11.3e %11.3e ",prlim[i][i],p3mat[i][j][1]); + } + } + fprintf(ficresprobmorprev,"\n"); + + fprintf(ficresvij,"%.0f ",age ); + for(i=1; i<=nlstate;i++) + for(j=1; j<=nlstate;j++){ + fprintf(ficresvij," %.4f", vareij[i][j][(int)age]); + } + fprintf(ficresvij,"\n"); + free_matrix(gp,0,nhstepm,1,nlstate); + free_matrix(gm,0,nhstepm,1,nlstate); + free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate); + free_ma3x(trgradg,0,nhstepm,1,nlstate,1,npar); + free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + } /* End age */ + free_vector(gpp,nlstate+1,nlstate+ndeath); + 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,"\nunset parametric;unset label; set ter png small size 320, 240"); */ + fprintf(ficgp,"\nunset parametric;unset label; set ter svg size 640, 480"); + /* for(j=nlstate+1; j<= nlstate+ndeath; j++){ *//* Only the first actually */ + fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";"); + fprintf(ficgp,"\nset out \"%s%s.svg\";",subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit); + /* 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 lt 1 ",subdirf(fileresprobmorprev)); + fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95%% interval\" w l lt 2 ",subdirf(fileresprobmorprev)); + fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l lt 2 ",subdirf(fileresprobmorprev)); + fprintf(fichtm,"\n
    File (multiple files are possible if covariates are present): %s\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev)); + fprintf(fichtm,"\n
    Probability is computed over estepm=%d months.

    \n", estepm,subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit); + /* fprintf(fichtm,"\n
    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

    \n", stepm,YEARM,digitp,digit); */ - for(j=nlstate+1;j<=nlstate+ndeath;j++){ - for(i=1,gmp[j]=0.;i<= nlstate; i++) - gmp[j] += prlim[i][i]*p3mat[i][j][1]; - } - /* end probability of death */ - - fprintf(ficresprobmorprev,"%3d %d ",(int) age, ij); - for(j=nlstate+1; j<=(nlstate+ndeath);j++){ - fprintf(ficresprobmorprev," %11.3e %11.3e",gmp[j], sqrt(varppt[j][j])); - for(i=1; i<=nlstate;i++){ - fprintf(ficresprobmorprev," %11.3e %11.3e ",prlim[i][i],p3mat[i][j][1]); - } - } - fprintf(ficresprobmorprev,"\n"); + /* fprintf(ficgp,"\nset out \"varmuptjgr%s%s%s.svg\";replot;",digitp,optionfilefiname,digit); */ + fprintf(ficgp,"\nset out;\nset out \"%s%s.svg\";replot;set out;\n",subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit); - fprintf(ficresvij,"%.0f ",age ); - for(i=1; i<=nlstate;i++) - for(j=1; j<=nlstate;j++){ - fprintf(ficresvij," %.4f", vareij[i][j][(int)age]); - } - fprintf(ficresvij,"\n"); - free_matrix(gp,0,nhstepm,1,nlstate); - free_matrix(gm,0,nhstepm,1,nlstate); - free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate); - free_ma3x(trgradg,0,nhstepm,1,nlstate,1,npar); - free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); - } /* End age */ - free_vector(gpp,nlstate+1,nlstate+ndeath); - 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,"\nunset parametric;unset label; set ter png small size 320, 240"); */ - fprintf(ficgp,"\nunset parametric;unset label; set ter svg size 640, 480"); - /* for(j=nlstate+1; j<= nlstate+ndeath; j++){ *//* Only the first actually */ - fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";"); - fprintf(ficgp,"\nset out \"%s%s.svg\";",subdirf3(optionfilefiname,"varmuptjgr",digitp),digit); -/* 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 lt 1 ",subdirf(fileresprobmorprev)); - fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95%% interval\" w l lt 2 ",subdirf(fileresprobmorprev)); - fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l lt 2 ",subdirf(fileresprobmorprev)); - fprintf(fichtm,"\n
    File (multiple files are possible if covariates are present): %s\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev)); - fprintf(fichtm,"\n
    Probability is computed over estepm=%d months.

    \n", estepm,subdirf3(optionfilefiname,"varmuptjgr",digitp),digit); - /* fprintf(fichtm,"\n
    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

    \n", stepm,YEARM,digitp,digit); -*/ -/* fprintf(ficgp,"\nset out \"varmuptjgr%s%s%s.svg\";replot;",digitp,optionfilefiname,digit); */ - fprintf(ficgp,"\nset out;\nset out \"%s%s.svg\";replot;set out;\n",subdirf3(optionfilefiname,"varmuptjgr",digitp),digit); - - free_vector(xp,1,npar); - free_matrix(doldm,1,nlstate,1,nlstate); - free_matrix(dnewm,1,nlstate,1,npar); - free_matrix(doldmp,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); - free_matrix(dnewmp,nlstate+1,nlstate+ndeath,1,npar); - free_matrix(varppt,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); - if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - fclose(ficresprobmorprev); - fflush(ficgp); - fflush(fichtm); -} /* end varevsij */ + free_vector(xp,1,npar); + free_matrix(doldm,1,nlstate,1,nlstate); + free_matrix(dnewm,1,nlstate,1,npar); + free_matrix(doldmp,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); + free_matrix(dnewmp,nlstate+1,nlstate+ndeath,1,npar); + free_matrix(varppt,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); + /* if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ + fclose(ficresprobmorprev); + fflush(ficgp); + fflush(fichtm); + } /* 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, char strstart[]) + 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 *ncvyearp, int ij, char strstart[]) { - /* Variance of prevalence limit */ + /* Variance of prevalence limit for each state ij using current parameters x[] and estimates of neighbourhood give by delti*/ /* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/ double **dnewm,**doldm; @@ -4107,6 +5053,7 @@ void varprevlim(char fileres[], double * double *xp; double *gp, *gm; double **gradg, **trgradg; + double **mgm, **mgp; double age,agelim; int theta; @@ -4129,6 +5076,8 @@ void varprevlim(char fileres[], double * if (stepm >= YEARM) hstepm=1; nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */ gradg=matrix(1,npar,1,nlstate); + mgp=matrix(1,npar,1,nlstate); + mgm=matrix(1,npar,1,nlstate); gp=vector(1,nlstate); gm=vector(1,nlstate); @@ -4136,18 +5085,27 @@ void varprevlim(char fileres[], double * for(i=1; i<=npar; i++){ /* Computes gradient */ xp[i] = x[i] + (i==theta ?delti[theta]:0); } - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij); - for(i=1;i<=nlstate;i++) + if((int)age==79 ||(int)age== 80 ||(int)age== 81 ) + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); + else + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); + for(i=1;i<=nlstate;i++){ gp[i] = prlim[i][i]; - + mgp[theta][i] = prlim[i][i]; + } for(i=1; i<=npar; i++) /* Computes gradient */ xp[i] = x[i] - (i==theta ?delti[theta]:0); - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij); - for(i=1;i<=nlstate;i++) + if((int)age==79 ||(int)age== 80 ||(int)age== 81 ) + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); + else + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); + for(i=1;i<=nlstate;i++){ gm[i] = prlim[i][i]; - + mgm[theta][i] = prlim[i][i]; + } for(i=1;i<=nlstate;i++) gradg[theta][i]= (gp[i]-gm[i])/2./delti[theta]; + /* gradg[theta][2]= -gradg[theta][1]; */ /* For testing if nlstate=2 */ } /* End theta */ trgradg =matrix(1,nlstate,1,npar); @@ -4155,11 +5113,34 @@ void varprevlim(char fileres[], double * for(j=1; j<=nlstate;j++) for(theta=1; theta <=npar; theta++) trgradg[j][theta]=gradg[theta][j]; + /* if((int)age==79 ||(int)age== 80 ||(int)age== 81 ){ */ + /* printf("\nmgm mgp %d ",(int)age); */ + /* for(j=1; j<=nlstate;j++){ */ + /* printf(" %d ",j); */ + /* for(theta=1; theta <=npar; theta++) */ + /* printf(" %d %lf %lf",theta,mgm[theta][j],mgp[theta][j]); */ + /* printf("\n "); */ + /* } */ + /* } */ + /* if((int)age==79 ||(int)age== 80 ||(int)age== 81 ){ */ + /* printf("\n gradg %d ",(int)age); */ + /* for(j=1; j<=nlstate;j++){ */ + /* printf("%d ",j); */ + /* for(theta=1; theta <=npar; theta++) */ + /* printf("%d %lf ",theta,gradg[theta][j]); */ + /* printf("\n "); */ + /* } */ + /* } */ for(i=1;i<=nlstate;i++) varpl[i][(int)age] =0.; + if((int)age==79 ||(int)age== 80 ||(int)age== 81){ matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov); matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg); + }else{ + matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov); + matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg); + } for(i=1;i<=nlstate;i++) varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */ @@ -4169,6 +5150,8 @@ void varprevlim(char fileres[], double * fprintf(ficresvpl,"\n"); free_vector(gp,1,nlstate); free_vector(gm,1,nlstate); + free_matrix(mgm,1,npar,1,nlstate); + free_matrix(mgp,1,npar,1,nlstate); free_matrix(gradg,1,npar,1,nlstate); free_matrix(trgradg,1,nlstate,1,npar); } /* End age */ @@ -4181,86 +5164,86 @@ 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, char strstart[]) -{ - int i, j=0, k1, l1, tj; - int k2, l2, j1, z1; - int k=0, l; - int first=1, first1, first2; - double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp; - double **dnewm,**doldm; - double *xp; - double *gp, *gm; - double **gradg, **trgradg; - double **mu; - double age, cov[NCOVMAX+1]; - double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */ - int theta; - char fileresprob[FILENAMELENGTH]; - char fileresprobcov[FILENAMELENGTH]; - char fileresprobcor[FILENAMELENGTH]; - double ***varpij; - - strcpy(fileresprob,"prob"); - strcat(fileresprob,fileres); - if((ficresprob=fopen(fileresprob,"w"))==NULL) { - printf("Problem with resultfile: %s\n", fileresprob); - fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob); - } - strcpy(fileresprobcov,"probcov"); - strcat(fileresprobcov,fileres); - if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) { - printf("Problem with resultfile: %s\n", fileresprobcov); - fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov); - } - strcpy(fileresprobcor,"probcor"); - strcat(fileresprobcor,fileres); - if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) { - printf("Problem with resultfile: %s\n", fileresprobcor); - fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor); - } - printf("Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob); - fprintf(ficlog,"Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob); - printf("Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov); - 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(ficresprobcor,"# Age"); - - - for(i=1; i<=nlstate;i++) - for(j=1; j<=(nlstate+ndeath);j++){ - fprintf(ficresprob," p%1d-%1d (SE)",i,j); - fprintf(ficresprobcov," p%1d-%1d ",i,j); - fprintf(ficresprobcor," p%1d-%1d ",i,j); - } - /* fprintf(ficresprob,"\n"); - fprintf(ficresprobcov,"\n"); - fprintf(ficresprobcor,"\n"); - */ - 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); - varpij=ma3x(1,nlstate*(nlstate+ndeath),1,nlstate*(nlstate+ndeath),(int) bage, (int) fage); - first=1; - fprintf(ficgp,"\n# Routine varprob"); - fprintf(fichtm,"\n

  • Computing and drawing one step probabilities with their confidence intervals

    • \n"); - fprintf(fichtm,"\n"); - - fprintf(fichtm,"\n

  • Matrix of variance-covariance of one-step probabilities (drawings)

    this page is important in order to visualize confidence intervals and especially correlation between disability and recovery, or more generally, way in and way back.
    • \n",optionfilehtmcov); - fprintf(fichtmcov,"Current page is file %s
    \n\n

    Matrix of variance-covariance of pairs of step probabilities

    \n",optionfilehtmcov, optionfilehtmcov); - fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (pij, pkl) are estimated \ + { + int i, j=0, k1, l1, tj; + int k2, l2, j1, z1; + int k=0, l; + int first=1, first1, first2; + double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp; + double **dnewm,**doldm; + double *xp; + double *gp, *gm; + double **gradg, **trgradg; + double **mu; + double age, cov[NCOVMAX+1]; + double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */ + int theta; + char fileresprob[FILENAMELENGTH]; + char fileresprobcov[FILENAMELENGTH]; + char fileresprobcor[FILENAMELENGTH]; + double ***varpij; + + strcpy(fileresprob,"PROB_"); + strcat(fileresprob,fileres); + if((ficresprob=fopen(fileresprob,"w"))==NULL) { + printf("Problem with resultfile: %s\n", fileresprob); + fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob); + } + strcpy(fileresprobcov,"PROBCOV_"); + strcat(fileresprobcov,fileresu); + if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) { + printf("Problem with resultfile: %s\n", fileresprobcov); + fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov); + } + strcpy(fileresprobcor,"PROBCOR_"); + strcat(fileresprobcor,fileresu); + if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) { + printf("Problem with resultfile: %s\n", fileresprobcor); + fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor); + } + printf("Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob); + fprintf(ficlog,"Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob); + printf("Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov); + 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(ficresprobcor,"# Age"); + + + for(i=1; i<=nlstate;i++) + for(j=1; j<=(nlstate+ndeath);j++){ + fprintf(ficresprob," p%1d-%1d (SE)",i,j); + fprintf(ficresprobcov," p%1d-%1d ",i,j); + fprintf(ficresprobcor," p%1d-%1d ",i,j); + } + /* fprintf(ficresprob,"\n"); + fprintf(ficresprobcov,"\n"); + fprintf(ficresprobcor,"\n"); + */ + 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); + varpij=ma3x(1,nlstate*(nlstate+ndeath),1,nlstate*(nlstate+ndeath),(int) bage, (int) fage); + first=1; + fprintf(ficgp,"\n# Routine varprob"); + fprintf(fichtm,"\n

  • Computing and drawing one step probabilities with their confidence intervals

    • \n"); + fprintf(fichtm,"\n"); + + fprintf(fichtm,"\n

  • Matrix of variance-covariance of one-step probabilities (drawings)

    this page is important in order to visualize confidence intervals and especially correlation between disability and recovery, or more generally, way in and way back.
    • \n",optionfilehtmcov); + fprintf(fichtmcov,"Current page is file %s
    \n\n

    Matrix of variance-covariance of pairs of step probabilities

    \n",optionfilehtmcov, optionfilehtmcov); + fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (pij, pkl) are estimated \ and drawn. It helps understanding how is the covariance between two incidences.\ They are expressed in year-1 in order to be less dependent of stepm.
    \n"); - fprintf(fichtmcov,"\n
    Contour plot corresponding to x'cov-1x = 4 (where x is the column vector (pij,pkl)) are drawn. \ + fprintf(fichtmcov,"\n
    Contour plot corresponding to x'cov-1x = 4 (where x is the column vector (pij,pkl)) are drawn. \ It can be understood this way: if pij and pkl where uncorrelated the (2x2) matrix of covariance \ would have been (1/(var pij), 0 , 0, 1/(var pkl)), and the confidence interval would be 2 \ standard deviations wide on each axis.
    \ @@ -4268,290 +5251,303 @@ standard deviations wide on each axis. < and made the appropriate rotation to look at the uncorrelated principal directions.
    \ To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.
    \n"); - cov[1]=1; - /* tj=cptcoveff; */ - tj = (int) pow(2,cptcoveff); - if (cptcovn<1) {tj=1;ncodemax[1]=1;} - j1=0; - for(j1=1; j1<=tj;j1++){ - /*for(i1=1; i1<=ncodemax[t];i1++){ */ - /*j1++;*/ - if (cptcovn>0) { - fprintf(ficresprob, "\n#********** Variable "); - for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); - fprintf(ficresprob, "**********\n#\n"); - fprintf(ficresprobcov, "\n#********** Variable "); - for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); - fprintf(ficresprobcov, "**********\n#\n"); - - fprintf(ficgp, "\n#********** Variable "); - for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); - fprintf(ficgp, "**********\n#\n"); - - - fprintf(fichtmcov, "\n
    ********** Variable "); - for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); - fprintf(fichtmcov, "**********\n
    "); - - fprintf(ficresprobcor, "\n#********** Variable "); - for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); - fprintf(ficresprobcor, "**********\n#"); - } - - gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath)); - trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar); - gp=vector(1,(nlstate)*(nlstate+ndeath)); - gm=vector(1,(nlstate)*(nlstate+ndeath)); - for (age=bage; age<=fage; age ++){ - cov[2]=age; - if(nagesqr==1) - cov[3]= age*age; - for (k=1; k<=cptcovn;k++) { - cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)]; - /*cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];*//* j1 1 2 3 4 - * 1 1 1 1 1 - * 2 2 1 1 1 - * 3 1 2 1 1 - */ - /* nbcode[1][1]=0 nbcode[1][2]=1;*/ - } - /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ - for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; - for (k=1; k<=cptcovprod;k++) - cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; - - - for(theta=1; theta <=npar; theta++){ - for(i=1; i<=npar; i++) - xp[i] = x[i] + (i==theta ?delti[theta]:(double)0); - - pmij(pmmij,cov,ncovmodel,xp,nlstate); - - k=0; - for(i=1; i<= (nlstate); i++){ - for(j=1; j<=(nlstate+ndeath);j++){ - k=k+1; - gp[k]=pmmij[i][j]; - } - } - - for(i=1; i<=npar; i++) - xp[i] = x[i] - (i==theta ?delti[theta]:(double)0); - - pmij(pmmij,cov,ncovmodel,xp,nlstate); - k=0; - for(i=1; i<=(nlstate); i++){ - for(j=1; j<=(nlstate+ndeath);j++){ - k=k+1; - gm[k]=pmmij[i][j]; - } - } - - for(i=1; i<= (nlstate)*(nlstate+ndeath); i++) - gradg[theta][i]=(gp[i]-gm[i])/(double)2./delti[theta]; - } - - for(j=1; j<=(nlstate)*(nlstate+ndeath);j++) - for(theta=1; theta <=npar; theta++) - trgradg[j][theta]=gradg[theta][j]; - - matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov); - matprod2(doldm,dnewm,1,(nlstate)*(nlstate+ndeath),1,npar,1,(nlstate)*(nlstate+ndeath),gradg); - - pmij(pmmij,cov,ncovmodel,x,nlstate); - - k=0; - for(i=1; i<=(nlstate); i++){ - for(j=1; j<=(nlstate+ndeath);j++){ - k=k+1; - mu[k][(int) age]=pmmij[i][j]; - } - } - for(i=1;i<=(nlstate)*(nlstate+ndeath);i++) - for(j=1;j<=(nlstate)*(nlstate+ndeath);j++) - varpij[i][j][(int)age] = doldm[i][j]; - - /*printf("\n%d ",(int)age); - for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){ - printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); - fprintf(ficlog,"%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); - }*/ - - fprintf(ficresprob,"\n%d ",(int)age); - fprintf(ficresprobcov,"\n%d ",(int)age); - fprintf(ficresprobcor,"\n%d ",(int)age); - - for (i=1; i<=(nlstate)*(nlstate+ndeath);i++) - fprintf(ficresprob,"%11.3e (%11.3e) ",mu[i][(int) age],sqrt(varpij[i][i][(int)age])); - for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){ - fprintf(ficresprobcov,"%11.3e ",mu[i][(int) age]); - fprintf(ficresprobcor,"%11.3e ",mu[i][(int) age]); - } - i=0; - for (k=1; k<=(nlstate);k++){ - for (l=1; l<=(nlstate+ndeath);l++){ - i++; - fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l); - fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l); - for (j=1; j<=i;j++){ - /* printf(" k=%d l=%d i=%d j=%d\n",k,l,i,j);fflush(stdout); */ - fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]); - fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age])); - } - } - }/* end of loop for state */ - } /* end of loop for age */ - free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath)); - free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath)); - free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); - free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); - - /* Confidence intervalle of pij */ - /* - fprintf(ficgp,"\nunset parametric;unset label"); - fprintf(ficgp,"\nset log y;unset log x; set xlabel \"Age\";set ylabel \"probability (year-1)\""); - fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65"); - fprintf(fichtm,"\n
    Probability with confidence intervals expressed in year-1 :pijgr%s.png, ",optionfilefiname,optionfilefiname); - fprintf(fichtm,"\n
    ",optionfilefiname); - fprintf(ficgp,"\nset out \"pijgr%s.png\"",optionfilefiname); - fprintf(ficgp,"\nplot \"%s\" every :::%d::%d u 1:2 \"\%%lf",k1,k2,xfilevarprob); - */ - - /* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/ - first1=1;first2=2; - for (k2=1; k2<=(nlstate);k2++){ - for (l2=1; l2<=(nlstate+ndeath);l2++){ - if(l2==k2) continue; - j=(k2-1)*(nlstate+ndeath)+l2; - for (k1=1; k1<=(nlstate);k1++){ - for (l1=1; l1<=(nlstate+ndeath);l1++){ - if(l1==k1) continue; - i=(k1-1)*(nlstate+ndeath)+l1; - if(i<=j) continue; - for (age=bage; age<=fage; age ++){ - if ((int)age %5==0){ - v1=varpij[i][i][(int)age]/stepm*YEARM/stepm*YEARM; - v2=varpij[j][j][(int)age]/stepm*YEARM/stepm*YEARM; - cv12=varpij[i][j][(int)age]/stepm*YEARM/stepm*YEARM; - mu1=mu[i][(int) age]/stepm*YEARM ; - mu2=mu[j][(int) age]/stepm*YEARM; - c12=cv12/sqrt(v1*v2); - /* Computing eigen value of matrix of covariance */ - lc1=((v1+v2)+sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.; - lc2=((v1+v2)-sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.; - if ((lc2 <0) || (lc1 <0) ){ - if(first2==1){ - first1=0; - printf("Strange: j1=%d 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. Probably WRONG RESULTS. See log file for details...\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor); - } - fprintf(ficlog,"Strange: j1=%d 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. Probably WRONG RESULTS.\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);fflush(ficlog); - /* lc1=fabs(lc1); */ /* If we want to have them positive */ - /* lc2=fabs(lc2); */ - } + cov[1]=1; + /* tj=cptcoveff; */ + tj = (int) pow(2,cptcoveff); + if (cptcovn<1) {tj=1;ncodemax[1]=1;} + j1=0; + for(j1=1; j1<=tj;j1++){ /* For each valid combination of covariates */ + if (cptcovn>0) { + fprintf(ficresprob, "\n#********** Variable "); + for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresprob, "**********\n#\n"); + fprintf(ficresprobcov, "\n#********** Variable "); + for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresprobcov, "**********\n#\n"); + + fprintf(ficgp, "\n#********** Variable "); + for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficgp, "**********\n#\n"); + + + fprintf(fichtmcov, "\n
    ********** Variable "); + for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(fichtmcov, "**********\n
    "); + + fprintf(ficresprobcor, "\n#********** Variable "); + for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresprobcor, "**********\n#"); + if(invalidvarcomb[j1]){ + fprintf(ficgp,"\n#Combination (%d) ignored because no cases \n",j1); + fprintf(fichtmcov,"\n

    Combination (%d) ignored because no cases

    \n",j1); + continue; + } + } + gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath)); + trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar); + gp=vector(1,(nlstate)*(nlstate+ndeath)); + gm=vector(1,(nlstate)*(nlstate+ndeath)); + for (age=bage; age<=fage; age ++){ + cov[2]=age; + if(nagesqr==1) + cov[3]= age*age; + for (k=1; k<=cptcovn;k++) { + cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)]; + /*cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];*//* j1 1 2 3 4 + * 1 1 1 1 1 + * 2 2 1 1 1 + * 3 1 2 1 1 + */ + /* nbcode[1][1]=0 nbcode[1][2]=1;*/ + } + /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ + for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; + for (k=1; k<=cptcovprod;k++) + cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; + + + for(theta=1; theta <=npar; theta++){ + for(i=1; i<=npar; i++) + xp[i] = x[i] + (i==theta ?delti[theta]:(double)0); + + pmij(pmmij,cov,ncovmodel,xp,nlstate); + + k=0; + for(i=1; i<= (nlstate); i++){ + for(j=1; j<=(nlstate+ndeath);j++){ + k=k+1; + gp[k]=pmmij[i][j]; + } + } + + for(i=1; i<=npar; i++) + xp[i] = x[i] - (i==theta ?delti[theta]:(double)0); + + pmij(pmmij,cov,ncovmodel,xp,nlstate); + k=0; + for(i=1; i<=(nlstate); i++){ + for(j=1; j<=(nlstate+ndeath);j++){ + k=k+1; + gm[k]=pmmij[i][j]; + } + } + + for(i=1; i<= (nlstate)*(nlstate+ndeath); i++) + gradg[theta][i]=(gp[i]-gm[i])/(double)2./delti[theta]; + } - /* Eigen vectors */ - v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12)); - /*v21=sqrt(1.-v11*v11); *//* error */ - v21=(lc1-v1)/cv12*v11; - v12=-v21; - v22=v11; - tnalp=v21/v11; - if(first1==1){ - first1=0; - printf("%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tang %.3f\nOthers in log...\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp); - } - fprintf(ficlog,"%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp); - /*printf(fignu*/ - /* mu1+ v11*lc1*cost + v12*lc2*sin(t) */ - /* mu2+ v21*lc1*cost + v22*lc2*sin(t) */ - if(first==1){ - first=0; - fprintf(ficgp,"\n# Ellipsoids of confidence\n#\n"); - fprintf(ficgp,"\nset parametric;unset label"); - fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2); - fprintf(ficgp,"\nset ter svg size 640, 480"); - fprintf(fichtmcov,"\n
    Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year-1\ - :\ -%s%d%1d%1d-%1d%1d.svg, ",k1,l1,k2,l2,\ - subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2,\ - subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2); - fprintf(fichtmcov,"\n
    ",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2); - fprintf(fichtmcov,"\n
    Correlation at age %d (%.3f),",(int) age, c12); - fprintf(ficgp,"\nset out \"%s%d%1d%1d-%1d%1d.svg\"",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2); - fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2); - fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2); - fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not",\ - mu1,std,v11,sqrt(lc1),v12,sqrt(lc2),\ - mu2,std,v21,sqrt(lc1),v22,sqrt(lc2)); - }else{ - first=0; - fprintf(fichtmcov," %d (%.3f),",(int) age, c12); - fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2); - fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2); - fprintf(ficgp,"\nreplot %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not",\ - mu1,std,v11,sqrt(lc1),v12,sqrt(lc2),\ - mu2,std,v21,sqrt(lc1),v22,sqrt(lc2)); - }/* if first */ - } /* age mod 5 */ - } /* end loop age */ - fprintf(ficgp,"\nset out;\nset out \"%s%d%1d%1d-%1d%1d.svg\";replot;set out;",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2); - first=1; - } /*l12 */ - } /* k12 */ - } /*l1 */ - }/* k1 */ - /* } */ /* loop covariates */ - } - free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage); - free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage); - free_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); - fclose(ficresprobcor); - fflush(ficgp); - fflush(fichtmcov); -} + for(j=1; j<=(nlstate)*(nlstate+ndeath);j++) + for(theta=1; theta <=npar; theta++) + trgradg[j][theta]=gradg[theta][j]; + + matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov); + matprod2(doldm,dnewm,1,(nlstate)*(nlstate+ndeath),1,npar,1,(nlstate)*(nlstate+ndeath),gradg); + + pmij(pmmij,cov,ncovmodel,x,nlstate); + + k=0; + for(i=1; i<=(nlstate); i++){ + for(j=1; j<=(nlstate+ndeath);j++){ + k=k+1; + mu[k][(int) age]=pmmij[i][j]; + } + } + for(i=1;i<=(nlstate)*(nlstate+ndeath);i++) + for(j=1;j<=(nlstate)*(nlstate+ndeath);j++) + varpij[i][j][(int)age] = doldm[i][j]; + + /*printf("\n%d ",(int)age); + for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){ + printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); + fprintf(ficlog,"%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); + }*/ + + fprintf(ficresprob,"\n%d ",(int)age); + fprintf(ficresprobcov,"\n%d ",(int)age); + fprintf(ficresprobcor,"\n%d ",(int)age); + + for (i=1; i<=(nlstate)*(nlstate+ndeath);i++) + fprintf(ficresprob,"%11.3e (%11.3e) ",mu[i][(int) age],sqrt(varpij[i][i][(int)age])); + for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){ + fprintf(ficresprobcov,"%11.3e ",mu[i][(int) age]); + fprintf(ficresprobcor,"%11.3e ",mu[i][(int) age]); + } + i=0; + for (k=1; k<=(nlstate);k++){ + for (l=1; l<=(nlstate+ndeath);l++){ + i++; + fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l); + fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l); + for (j=1; j<=i;j++){ + /* printf(" k=%d l=%d i=%d j=%d\n",k,l,i,j);fflush(stdout); */ + fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]); + fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age])); + } + } + }/* end of loop for state */ + } /* end of loop for age */ + free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath)); + free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath)); + free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); + free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); + + /* Confidence intervalle of pij */ + /* + fprintf(ficgp,"\nunset parametric;unset label"); + fprintf(ficgp,"\nset log y;unset log x; set xlabel \"Age\";set ylabel \"probability (year-1)\""); + fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65"); + fprintf(fichtm,"\n
    Probability with confidence intervals expressed in year-1 :pijgr%s.png, ",optionfilefiname,optionfilefiname); + fprintf(fichtm,"\n
    ",optionfilefiname); + fprintf(ficgp,"\nset out \"pijgr%s.png\"",optionfilefiname); + fprintf(ficgp,"\nplot \"%s\" every :::%d::%d u 1:2 \"\%%lf",k1,k2,xfilevarprob); + */ + + /* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/ + first1=1;first2=2; + for (k2=1; k2<=(nlstate);k2++){ + for (l2=1; l2<=(nlstate+ndeath);l2++){ + if(l2==k2) continue; + j=(k2-1)*(nlstate+ndeath)+l2; + for (k1=1; k1<=(nlstate);k1++){ + for (l1=1; l1<=(nlstate+ndeath);l1++){ + if(l1==k1) continue; + i=(k1-1)*(nlstate+ndeath)+l1; + if(i<=j) continue; + for (age=bage; age<=fage; age ++){ + if ((int)age %5==0){ + v1=varpij[i][i][(int)age]/stepm*YEARM/stepm*YEARM; + v2=varpij[j][j][(int)age]/stepm*YEARM/stepm*YEARM; + cv12=varpij[i][j][(int)age]/stepm*YEARM/stepm*YEARM; + mu1=mu[i][(int) age]/stepm*YEARM ; + mu2=mu[j][(int) age]/stepm*YEARM; + c12=cv12/sqrt(v1*v2); + /* Computing eigen value of matrix of covariance */ + lc1=((v1+v2)+sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.; + lc2=((v1+v2)-sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.; + if ((lc2 <0) || (lc1 <0) ){ + if(first2==1){ + first1=0; + printf("Strange: j1=%d 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. Probably WRONG RESULTS. See log file for details...\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor); + } + fprintf(ficlog,"Strange: j1=%d 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. Probably WRONG RESULTS.\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);fflush(ficlog); + /* lc1=fabs(lc1); */ /* If we want to have them positive */ + /* lc2=fabs(lc2); */ + } + + /* Eigen vectors */ + v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12)); + /*v21=sqrt(1.-v11*v11); *//* error */ + v21=(lc1-v1)/cv12*v11; + v12=-v21; + v22=v11; + tnalp=v21/v11; + if(first1==1){ + first1=0; + printf("%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tang %.3f\nOthers in log...\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp); + } + fprintf(ficlog,"%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp); + /*printf(fignu*/ + /* mu1+ v11*lc1*cost + v12*lc2*sin(t) */ + /* mu2+ v21*lc1*cost + v22*lc2*sin(t) */ + if(first==1){ + first=0; + fprintf(ficgp,"\n# Ellipsoids of confidence\n#\n"); + fprintf(ficgp,"\nset parametric;unset label"); + fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2); + fprintf(ficgp,"\nset ter svg size 640, 480"); + fprintf(fichtmcov,"\n
    Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year-1\ + : \ +%s_%d%1d%1d-%1d%1d.svg, ",k1,l1,k2,l2,\ + subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2, \ + subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); + fprintf(fichtmcov,"\n
    ",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); + fprintf(fichtmcov,"\n
    Correlation at age %d (%.3f),",(int) age, c12); + fprintf(ficgp,"\nset out \"%s_%d%1d%1d-%1d%1d.svg\"",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); + fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2); + fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2); + fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not", \ + mu1,std,v11,sqrt(lc1),v12,sqrt(lc2), \ + mu2,std,v21,sqrt(lc1),v22,sqrt(lc2)); + }else{ + first=0; + fprintf(fichtmcov," %d (%.3f),",(int) age, c12); + fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2); + fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2); + fprintf(ficgp,"\nreplot %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not", \ + mu1,std,v11,sqrt(lc1),v12,sqrt(lc2), \ + mu2,std,v21,sqrt(lc1),v22,sqrt(lc2)); + }/* if first */ + } /* age mod 5 */ + } /* end loop age */ + fprintf(ficgp,"\nset out;\nset out \"%s_%d%1d%1d-%1d%1d.svg\";replot;set out;",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); + first=1; + } /*l12 */ + } /* k12 */ + } /*l1 */ + }/* k1 */ + } /* loop on combination of covariates j1 */ + 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); + fclose(ficresprobcor); + fflush(ficgp); + fflush(fichtmcov); + } /******************* Printing html file ***********/ -void printinghtml(char fileres[], char title[], char datafile[], int firstpass, \ +void printinghtml(char fileresu[], char title[], char datafile[], int firstpass, \ int lastpass, int stepm, int weightopt, char model[],\ int imx,int jmin, int jmax, double jmeanint,char rfileres[],\ - int popforecast, int estepm ,\ - double jprev1, double mprev1,double anprev1, \ - double jprev2, double mprev2,double anprev2){ + int popforecast, int prevfcast, int backcast, int estepm , \ + double jprev1, double mprev1,double anprev1, double dateprev1, \ + double jprev2, double mprev2,double anprev2, double dateprev2){ int jj1, k1, i1, cpt; fprintf(fichtm,""); - fprintf(fichtm,"

    • Result files (first order: no variance)

      \n \ - - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): %s
      \n ", - jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileres,"p"),subdirf2(fileres,"p")); + fprintf(fichtm,"

      • Result files (first order: no variance)

        \n"); + fprintf(fichtm,"
      • - Observed frequency between two states (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): %s (html file)
        \n", + jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTMFR_",".htm"),subdirfext3(optionfilefiname,"PHTMFR_",".htm")); + fprintf(fichtm,"
      • - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): %s (html file) ", + jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTM_",".htm"),subdirfext3(optionfilefiname,"PHTM_",".htm")); + fprintf(fichtm,", %s (text file)
        \n",subdirf2(fileresu,"P_"),subdirf2(fileresu,"P_")); fprintf(fichtm,"\ - Estimated transition probabilities over %d (stepm) months: %s
        \n ", - stepm,subdirf2(fileres,"pij"),subdirf2(fileres,"pij")); + stepm,subdirf2(fileresu,"PIJ_"),subdirf2(fileresu,"PIJ_")); + fprintf(fichtm,"\ + - Estimated back transition probabilities over %d (stepm) months: %s
        \n ", + stepm,subdirf2(fileresu,"PIJB_"),subdirf2(fileresu,"PIJB_")); fprintf(fichtm,"\ - Period (stable) prevalence in each health state: %s
        \n", - subdirf2(fileres,"pl"),subdirf2(fileres,"pl")); + subdirf2(fileresu,"PL_"),subdirf2(fileresu,"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): \ - %s
        \n", - estepm,subdirf2(fileres,"e"),subdirf2(fileres,"e")); + - Period (stable) back prevalence in each health state: %s
        \n", + subdirf2(fileresu,"PLB_"),subdirf2(fileresu,"PLB_")); fprintf(fichtm,"\ - - Population projections by age and states: \ - %s
        \n
        • ", subdirf2(fileres,"f"),subdirf2(fileres,"f")); + - (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): \ + %s
        \n", + estepm,subdirf2(fileresu,"E_"),subdirf2(fileresu,"E_")); + if(prevfcast==1){ + fprintf(fichtm,"\ + - Prevalence projections by age and states: \ + %s
        \n", subdirf2(fileresu,"F_"),subdirf2(fileresu,"F_")); + } -fprintf(fichtm," \n
        • Graphs

          • "); + fprintf(fichtm," \n

          • Graphs

            • "); - m=pow(2,cptcoveff); - if (cptcovn < 1) {m=1;ncodemax[1]=1;} + m=pow(2,cptcoveff); + if (cptcovn < 1) {m=1;ncodemax[1]=1;} - jj1=0; - for(k1=1; k1<=m;k1++){ - /* for(i1=1; i1<=ncodemax[k1];i1++){ */ + jj1=0; + for(k1=1; k1<=m;k1++){ + + /* for(i1=1; i1<=ncodemax[k1];i1++){ */ jj1++; if (cptcovn > 0) { fprintf(fichtm,"

            ************ Results for covariates"); @@ -4560,31 +5556,67 @@ fprintf(fichtm," \n
            • Graphs printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); } fprintf(fichtm," ************\n
              "); + if(invalidvarcomb[k1]){ + fprintf(fichtm,"\n

              Combination (%d) ignored because no cases

              \n",k1); + printf("\nCombination (%d) ignored because no cases \n",k1); + continue; + } } + /* aij, bij */ + fprintf(fichtm,"
              - Logit model (yours is: 1+age+%s), for example: logit(pij)=log(pij/pii)= aij+ bij age + V1 age + etc. as a function of age: %s_%d-1.svg
              \ +",model,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); /* Pij */ - fprintf(fichtm,"
              - Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: %s%d_1.svg
              \ -",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1); + fprintf(fichtm,"
              \n- Pij or conditional probabilities to be observed in state j being in state i, %d (stepm) months before: %s_%d-2.svg
              \ +",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); /* Quasi-incidences */ - fprintf(fichtm,"
              - 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%d_2.svg
              \ -",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1); - /* Period (stable) prevalence in each health state */ + fprintf(fichtm,"
              \n- Iij 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, \ + incidence (rates) are the limit when h tends to zero of the ratio of the probability hPij \ +divided by h: hPij/h : %s_%d-3.svg
              \ +",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); + /* Survival functions (period) in state j */ + for(cpt=1; cpt<=nlstate;cpt++){ + fprintf(fichtm,"
              \n- Survival functions in state %d. Or probability to survive in state %d being in state (1 to %d) at different ages. %s%d_%d.svg
              \ +", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1); + } + /* State specific survival functions (period) */ + for(cpt=1; cpt<=nlstate;cpt++){ + fprintf(fichtm,"
              \n- Survival functions from state %d in each live state and total.\ + Or probability to survive in various states (1 to %d) being in state %d at different ages. \ + %s%d_%d.svg
              ", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1); + } + /* Period (stable) prevalence in each health state */ + for(cpt=1; cpt<=nlstate;cpt++){ + fprintf(fichtm,"
              \n- Convergence to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. %s_%d-%d.svg
              \ +", cpt, cpt, nlstate, subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1); + } + if(backcast==1){ + /* Period (stable) back prevalence in each health state */ for(cpt=1; cpt<=nlstate;cpt++){ - fprintf(fichtm,"
              - Convergence to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. %s%d_%d.svg
              \ -", cpt, cpt, nlstate, subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1); + fprintf(fichtm,"
              \n- Convergence to period (stable) back prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. %s_%d-%d.svg
              \ +", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,jj1,subdirf2(optionfilefiname,"PB_"),cpt,jj1,subdirf2(optionfilefiname,"PB_"),cpt,jj1); } + } + if(prevfcast==1){ + /* Projection of prevalence up to period (stable) prevalence in each health state */ + for(cpt=1; cpt<=nlstate;cpt++){ + fprintf(fichtm,"
              \n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f) up to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. %s%d_%d.svg
              \ +", dateprev1, dateprev2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1); + } + } + for(cpt=1; cpt<=nlstate;cpt++) { - fprintf(fichtm,"\n
              - Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) : %s%d%d.svg
              \ -",cpt,nlstate,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1); + fprintf(fichtm,"\n
              - Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): %s_%d%d.svg
              \ +",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1); } - /* } /\* end i1 *\/ */ - }/* End k1 */ - fprintf(fichtm,"
            "); + /* } /\* end i1 *\/ */ + }/* End k1 */ + fprintf(fichtm,"
          "); - fprintf(fichtm,"\ + fprintf(fichtm,"\ \n

        • Result files (second order: variances)

          \n\ - Parameter file with estimated parameters and covariance matrix: %s
          \ - - 95%% confidence intervals and Wald tests of the estimated parameters are in the log file.
          \ + - 95%% confidence intervals and Wald tests of the estimated parameters are in the log file if optimization has been done (mle != 0).
          \ But because parameters are usually highly correlated (a higher incidence of disability \ and a higher incidence of recovery can give very close observed transition) it might \ be very useful to look not only at linear confidence intervals estimated from the \ @@ -4593,32 +5625,32 @@ variances but at the covariance matrix. covariance matrix of the one-step probabilities. \ See page 'Matrix of variance-covariance of one-step probabilities' below. \n", rfileres,rfileres); - fprintf(fichtm," - Standard deviation of one-step probabilities: %s
          \n", - subdirf2(fileres,"prob"),subdirf2(fileres,"prob")); - fprintf(fichtm,"\ + fprintf(fichtm," - Standard deviation of one-step probabilities: %s
          \n", + subdirf2(fileresu,"PROB_"),subdirf2(fileresu,"PROB_")); + fprintf(fichtm,"\ - Variance-covariance of one-step probabilities: %s
          \n", - subdirf2(fileres,"probcov"),subdirf2(fileres,"probcov")); + subdirf2(fileresu,"PROBCOV_"),subdirf2(fileresu,"PROBCOV_")); - fprintf(fichtm,"\ + fprintf(fichtm,"\ - Correlation matrix of one-step probabilities: %s
          \n", - subdirf2(fileres,"probcor"),subdirf2(fileres,"probcor")); - fprintf(fichtm,"\ + subdirf2(fileresu,"PROBCOR_"),subdirf2(fileresu,"PROBCOR_")); + fprintf(fichtm,"\ - Variances and covariances of health expectancies by age and initial health status (cov(eij,ekl)(estepm=%2d months): \ %s
          \n
          • ", - estepm,subdirf2(fileres,"cve"),subdirf2(fileres,"cve")); - fprintf(fichtm,"\ + estepm,subdirf2(fileresu,"CVE_"),subdirf2(fileresu,"CVE_")); + fprintf(fichtm,"\ - (a) Health expectancies by health status at initial age (eij) and standard errors (in parentheses) (b) life expectancies and standard errors (ei.=ei1+ei2+...)(estepm=%2d months): \ %s
          \n", - estepm,subdirf2(fileres,"stde"),subdirf2(fileres,"stde")); - fprintf(fichtm,"\ + estepm,subdirf2(fileresu,"STDE_"),subdirf2(fileresu,"STDE_")); + fprintf(fichtm,"\ - Variances and covariances of health expectancies by age. Status (i) based health expectancies (in state j), eij 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): %s
          \n", - estepm, subdirf2(fileres,"v"),subdirf2(fileres,"v")); - fprintf(fichtm,"\ + estepm, subdirf2(fileresu,"V_"),subdirf2(fileresu,"V_")); + fprintf(fichtm,"\ - Total life expectancy and total health expectancies to be spent in each health state e.j with their standard errors (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): %s
          \n", - estepm, subdirf2(fileres,"t"),subdirf2(fileres,"t")); - fprintf(fichtm,"\ + estepm, subdirf2(fileresu,"T_"),subdirf2(fileresu,"T_")); + fprintf(fichtm,"\ - Standard deviation of period (stable) prevalences: %s
          \n",\ - subdirf2(fileres,"vpl"),subdirf2(fileres,"vpl")); + subdirf2(fileresu,"VPL_"),subdirf2(fileresu,"VPL_")); /* if(popforecast==1) fprintf(fichtm,"\n */ /* - Prevalences forecasting: f%s
          \n */ @@ -4626,45 +5658,55 @@ See page 'Matrix of variance-covariance /*
          ",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 .)

          \n",popforecast, stepm, model); */ - fflush(fichtm); - fprintf(fichtm,"
          • Graphs

            • "); + fflush(fichtm); + fprintf(fichtm,"

            • Graphs

              • "); - m=pow(2,cptcoveff); - if (cptcovn < 1) {m=1;ncodemax[1]=1;} + m=pow(2,cptcoveff); + if (cptcovn < 1) {m=1;ncodemax[1]=1;} - jj1=0; - for(k1=1; k1<=m;k1++){ - /* for(i1=1; i1<=ncodemax[k1];i1++){ */ + jj1=0; + for(k1=1; k1<=m;k1++){ + /* for(i1=1; i1<=ncodemax[k1];i1++){ */ jj1++; if (cptcovn > 0) { fprintf(fichtm,"

              ************ Results for covariates"); for (cpt=1; cpt<=cptcoveff;cpt++) fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); fprintf(fichtm," ************\n
              "); + + if(invalidvarcomb[k1]){ + fprintf(fichtm,"\n

              Combination (%d) ignored because no cases

              \n",k1); + continue; + } } for(cpt=1; cpt<=nlstate;cpt++) { - fprintf(fichtm,"
              - Observed (cross-sectional) and period (incidence based) \ -prevalence (with 95%% confidence interval) in state (%d): %s%d_%d.svg
              \ -",cpt,subdirf2(optionfilefiname,"v"),cpt,jj1,subdirf2(optionfilefiname,"v"),cpt,jj1); + fprintf(fichtm,"\n
              - Observed (cross-sectional) and period (incidence based) \ +prevalence (with 95%% confidence interval) in state (%d): %s_%d-%d.svg\n
              \ +",cpt,subdirf2(optionfilefiname,"V_"),cpt,jj1,subdirf2(optionfilefiname,"V_"),cpt,jj1,subdirf2(optionfilefiname,"V_"),cpt,jj1); } fprintf(fichtm,"\n
              - 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.svg
              \ -",subdirf2(optionfilefiname,"e"),jj1,subdirf2(optionfilefiname,"e"),jj1); - /* } /\* end i1 *\/ */ - }/* End k1 */ - fprintf(fichtm,"
            "); - fflush(fichtm); + observed and cahotic prevalences: %s_%d.svg\n
            \ +",subdirf2(optionfilefiname,"E_"),jj1,subdirf2(optionfilefiname,"E_"),jj1,subdirf2(optionfilefiname,"E_"),jj1); + /* } /\* end i1 *\/ */ + }/* End k1 */ + fprintf(fichtm,"
          "); + fflush(fichtm); } /******************* Gnuplot file **************/ -void printinggnuplot(char fileres[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){ + void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , int prevfcast, int backcast, char pathc[], double p[]){ char dirfileres[132],optfileres[132]; + char gplotcondition[132]; int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0; + int lv=0, vlv=0, kl=0; int ng=0; + int vpopbased; + int ioffset; /* variable offset for columns */ + /* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */ /* printf("Problem with file %s",optionfilegnuplot); */ /* fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */ @@ -4675,120 +5717,474 @@ void printinggnuplot(char fileres[], cha /*#endif */ m=pow(2,cptcoveff); + /* Contribution to likelihood */ + /* Plot the probability implied in the likelihood */ + fprintf(ficgp,"\n# Contributions to the Likelihood, mle >=1. For mle=4 no interpolation, pure matrix products.\n#\n"); + fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Likelihood (-2Log(L))\";"); + /* fprintf(ficgp,"\nset ter svg size 640, 480"); */ /* Too big for svg */ + fprintf(ficgp,"\nset ter pngcairo size 640, 480"); +/* nice for mle=4 plot by number of matrix products. + replot "rrtest1/toto.txt" u 2:($4 == 1 && $5==2 ? $9 : 1/0):5 t "p12" with point lc 1 */ +/* replot exp(p1+p2*x)/(1+exp(p1+p2*x)+exp(p3+p4*x)+exp(p5+p6*x)) t "p12(x)" */ + /* fprintf(ficgp,"\nset out \"%s.svg\";",subdirf2(optionfilefiname,"ILK_")); */ + fprintf(ficgp,"\nset out \"%s-dest.png\";",subdirf2(optionfilefiname,"ILK_")); + fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$13):6 t \"All sample, transitions colored by destination\" with dots lc variable; set out;\n",subdirf(fileresilk)); + fprintf(ficgp,"\nset out \"%s-ori.png\";",subdirf2(optionfilefiname,"ILK_")); + fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$13):5 t \"All sample, transitions colored by origin\" with dots lc variable; set out;\n\n",subdirf(fileresilk)); + for (i=1; i<= nlstate ; i ++) { + fprintf(ficgp,"\nset out \"%s-p%dj.png\";set ylabel \"Probability for each individual/wave\";",subdirf2(optionfilefiname,"ILK_"),i); + fprintf(ficgp,"unset log;\n# plot weighted, mean weight should have point size of 0.5\n plot \"%s\"",subdirf(fileresilk)); + fprintf(ficgp," u 2:($5 == %d && $6==%d ? $10 : 1/0):($12/4.):6 t \"p%d%d\" with points pointtype 7 ps variable lc variable \\\n",i,1,i,1); + for (j=2; j<= nlstate+ndeath ; j ++) { + fprintf(ficgp,",\\\n \"\" u 2:($5 == %d && $6==%d ? $10 : 1/0):($12/4.):6 t \"p%d%d\" with points pointtype 7 ps variable lc variable ",i,j,i,j); + } + fprintf(ficgp,";\nset out; unset ylabel;\n"); + } + /* unset log; plot "rrtest1_sorted_4/ILK_rrtest1_sorted_4.txt" u 2:($4 == 1 && $5==2 ? $9 : 1/0):5 t "p12" with points lc variable */ + /* fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$11):3 t \"All sample, all transitions\" with dots lc variable",subdirf(fileresilk)); */ + /* fprintf(ficgp,"\nreplot \"%s\" u 2:($3 <= 3 ? -$11 : 1/0):3 t \"First 3 individuals\" with line lc variable", subdirf(fileresilk)); */ + fprintf(ficgp,"\nset out;unset log\n"); + /* fprintf(ficgp,"\nset out \"%s.svg\"; replot; set out; # bug gnuplot",subdirf2(optionfilefiname,"ILK_")); */ + strcpy(dirfileres,optionfilefiname); strcpy(optfileres,"vpl"); /* 1eme*/ - fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'vpl' files\n"); - for (cpt=1; cpt<= nlstate ; cpt ++) { - for (k1=1; k1<= m ; k1 ++) { /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ - fprintf(ficgp,"\nset out \"%s%d_%d.svg\" \n",subdirf2(optionfilefiname,"v"),cpt,k1); - fprintf(ficgp,"\n#set out \"v%s%d_%d.svg\" \n",optionfilefiname,cpt,k1); - fprintf(ficgp,"set xlabel \"Age\" \n\ -set ylabel \"Probability\" \n\ -set ter svg size 640, 480\n\ -plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"%%lf",ageminpar,fage,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\"Period (stable) prevalence\" w l lt 0,\"%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 lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1); - for (i=1; i<= nlstate ; i ++) { - if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); - else fprintf(ficgp," %%*lf (%%*lf)"); - } - fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l lt 2",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1)); - } - } + for (cpt=1; cpt<= nlstate ; cpt ++) { /* For each live state */ + for (k1=1; k1<= m ; k1 ++) { /* For each valid combination of covariate */ + /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ + fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files "); + for (k=1; k<=cptcoveff; k++){ /* For each covariate k get corresponding value lv for combination k1 */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the value of the covariate corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; /* vlv is the value of the covariate lv, 0 or 1 */ + /* For each combination of covariate k1 (V1=1, V3=0), we printed the current covariate k and its value vlv */ + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + } + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1); + fprintf(ficgp,"\n#set out \"V_%s_%d-%d.svg\" \n",optionfilefiname,cpt,k1); + fprintf(ficgp,"set xlabel \"Age\" \n\ +set ylabel \"Probability\" \n \ +set ter svg size 640, 480\n \ +plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"%%lf",ageminpar,fage,subdirf2(fileresu,"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\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"%%lf",subdirf2(fileresu,"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 lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1); + for (i=1; i<= nlstate ; i ++) { + if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence\" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1)); + if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */ + /* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */ + fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1 */ + kl=0; + for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + kl++; + /* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ + /*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ + /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */ + /* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/ + if(k==cptcoveff){ + fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' with line ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ + 6+(cpt-1), cpt ); + }else{ + fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]); + kl++; + } + } /* end covariate */ + } + fprintf(ficgp,"\nset out \n"); + } /* k1 */ + } /* cpt */ /*2 eme*/ - fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files\n"); for (k1=1; k1<= m ; k1 ++) { - fprintf(ficgp,"\nset out \"%s%d.svg\" \n",subdirf2(optionfilefiname,"e"),k1); - fprintf(ficgp,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage); - - for (i=1; i<= nlstate+1 ; i ++) { - k=2*i; - fprintf(ficgp,"\"%s\" every :::%d::%d u 1:2 \"%%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== 1) fprintf(ficgp,"\" t\"TLE\" w l ,"); - else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-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)"); - } - fprintf(ficgp,"\" t\"\" w l lt 0,"); - 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 lt 0"); - else fprintf(ficgp,"\" t\"\" w l lt 0,"); - } - } - + + fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); + for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + } + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"\nset out \"%s_%d.svg\" \n",subdirf2(optionfilefiname,"E_"),k1); + for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/ + if(vpopbased==0) + fprintf(ficgp,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage); + else + fprintf(ficgp,"\nreplot "); + for (i=1; i<= nlstate+1 ; i ++) { + k=2*i; + fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ?$4 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1, vpopbased); + for (j=1; j<= nlstate+1 ; j ++) { + if (j==i) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l lt %d, \\\n",i); + else fprintf(ficgp,"\" t\"LE in state (%d)\" w l lt %d, \\\n",i-1,i+1); + fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4-$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased); + for (j=1; j<= nlstate+1 ; j ++) { + if (j==i) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"\" w l lt 0,"); + fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased); + for (j=1; j<= nlstate+1 ; j ++) { + if (j==i) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0"); + else fprintf(ficgp,"\" t\"\" w l lt 0,\\\n"); + } /* state */ + } /* vpopbased */ + fprintf(ficgp,"\nset out;set out \"%s_%d.svg\"; replot; set out; \n",subdirf2(optionfilefiname,"E_"),k1); /* Buggy gnuplot */ + } /* k1 */ + + /*3eme*/ - for (k1=1; k1<= m ; k1 ++) { + for (cpt=1; cpt<= nlstate ; cpt ++) { + fprintf(ficgp,"\n# 3d: Life expectancy with EXP_ files: cov=%d state=%d",k1, cpt); + for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + } + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + /* k=2+nlstate*(2*cpt-2); */ k=2+(nlstate+1)*(cpt-1); - fprintf(ficgp,"\nset out \"%s%d%d.svg\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1); + fprintf(ficgp,"\nset out \"%s_%d%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1); fprintf(ficgp,"set ter svg size 640, 480\n\ -plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileres,"e"),k1-1,k1-1,k,cpt); +plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),k1-1,k1-1,k,cpt); /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); - for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); - fprintf(ficgp,"\" t \"e%d1\" w l",cpt); - fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); - for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); - fprintf(ficgp,"\" t \"e%d1\" w l",cpt); - + for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); + fprintf(ficgp,"\" t \"e%d1\" w l",cpt); + fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); + for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); + fprintf(ficgp,"\" t \"e%d1\" w l",cpt); + */ for (i=1; i< nlstate ; i ++) { - fprintf(ficgp," ,\"%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%d\" w l",subdirf2(fileresu,"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); + fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+nlstate,cpt); } } - /* CV preval stable (period) */ + /* 4eme */ + /* Survival functions (period) from state i in state j by initial state i */ for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */ + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ + fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt); + for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + } + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1); + fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ +set ter svg size 640, 480\n \ +unset log y\n \ +plot [%.f:%.f] ", ageminpar, agemaxpar); k=3; - fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, cov=%d state=%d",k1, cpt); - fprintf(ficgp,"\nset out \"%s%d_%d.svg\" \n",subdirf2(optionfilefiname,"p"),cpt,k1); + for (i=1; i<= nlstate ; i ++){ + if(i==1){ + fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); + }else{ + fprintf(ficgp,", '' "); + } + l=(nlstate+ndeath)*(i-1)+1; + fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); + for (j=2; j<= nlstate+ndeath ; j ++) + fprintf(ficgp,"+$%d",k+l+j-1); + fprintf(ficgp,")) t \"l(%d,%d)\" w l",i,cpt); + } /* nlstate */ + fprintf(ficgp,"\nset out\n"); + } /* end cpt state*/ + } /* end covariate */ + +/* 5eme */ + /* Survival functions (period) from state i in state j by final state j */ + for (k1=1; k1<= m ; k1 ++) { /* For each covariate if any */ + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ + + fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); + for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + } + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1); + fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ +set ter svg size 640, 480\n \ +unset log y\n \ +plot [%.f:%.f] ", ageminpar, agemaxpar); + k=3; + for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ + if(j==1) + fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); + else + fprintf(ficgp,", '' "); + l=(nlstate+ndeath)*(cpt-1) +j; + fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):($%d",k1,k+l); + /* for (i=2; i<= nlstate+ndeath ; i ++) */ + /* fprintf(ficgp,"+$%d",k+l+i-1); */ + fprintf(ficgp,") t \"l(%d,%d)\" w l",cpt,j); + } /* nlstate */ + fprintf(ficgp,", '' "); + fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):(",k1); + for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ + l=(nlstate+ndeath)*(cpt-1) +j; + if(j < nlstate) + fprintf(ficgp,"$%d +",k+l); + else + fprintf(ficgp,"$%d) t\"l(%d,.)\" w l",k+l,cpt); + } + fprintf(ficgp,"\nset out\n"); + } /* end cpt state*/ + } /* end covariate */ + +/* 6eme */ + /* CV preval stable (period) for each covariate */ + for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ + + fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); + for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + } + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1); fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ set ter svg size 640, 480\n\ unset log y\n\ plot [%.f:%.f] ", ageminpar, agemaxpar); + k=3; /* Offset */ for (i=1; i<= nlstate ; i ++){ - if(i==1) - fprintf(ficgp,"\"%s\"",subdirf2(fileres,"pij")); - else - fprintf(ficgp,", '' "); - l=(nlstate+ndeath)*(i-1)+1; - fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); - for (j=1; j<= (nlstate-1) ; j ++) - fprintf(ficgp,"+$%d",k+l+j); - fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt); + if(i==1) + fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); + else + fprintf(ficgp,", '' "); + l=(nlstate+ndeath)*(i-1)+1; + fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); + for (j=2; j<= nlstate ; j ++) + fprintf(ficgp,"+$%d",k+l+j-1); + fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt); } /* nlstate */ - fprintf(ficgp,"\n"); + fprintf(ficgp,"\nset out\n"); } /* end cpt state*/ } /* end covariate */ - - /* proba elementaires */ - fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n"); + + +/* 7eme */ + if(backcast == 1){ + /* CV back preval stable (period) for each covariate */ + for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ + fprintf(ficgp,"\n#\n#\n#CV Back preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); + for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + } + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PB_"),cpt,k1); + fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ +set ter svg size 640, 480\n \ +unset log y\n \ +plot [%.f:%.f] ", ageminpar, agemaxpar); + k=3; /* Offset */ + for (i=1; i<= nlstate ; i ++){ + if(i==1) + fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJB_")); + else + fprintf(ficgp,", '' "); + /* l=(nlstate+ndeath)*(i-1)+1; */ + l=(nlstate+ndeath)*(cpt-1)+1; + /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier *\/ */ + /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier *\/ */ + fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+(cpt-1)+i-1); /* a vérifier */ + /* for (j=2; j<= nlstate ; j ++) */ + /* fprintf(ficgp,"+$%d",k+l+j-1); */ + /* /\* fprintf(ficgp,"+$%d",k+l+j-1); *\/ */ + fprintf(ficgp,") t \"bprev(%d,%d)\" w l",i,cpt); + } /* nlstate */ + fprintf(ficgp,"\nset out\n"); + } /* end cpt state*/ + } /* end covariate */ + } /* End if backcast */ + + /* 8eme */ + if(prevfcast==1){ + /* Projection from cross-sectional to stable (period) for each covariate */ + + for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ + fprintf(ficgp,"\n#\n#\n#Projection of prevalence to stable (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); + for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + } + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"# hpijx=probability over h years, hp.jx is weighted by observed prev\n "); + fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1); + fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Prevalence\" \n\ +set ter svg size 640, 480\n \ +unset log y\n \ +plot [%.f:%.f] ", ageminpar, agemaxpar); + for (i=1; i<= nlstate+1 ; i ++){ /* nlstate +1 p11 p21 p.1 */ + /*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ + /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ + /*# yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ + /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ + if(i==1){ + fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"F_")); + }else{ + fprintf(ficgp,",\\\n '' "); + } + if(cptcoveff ==0){ /* No covariate */ + ioffset=2; /* Age is in 2 */ + /*# yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/ + /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */ + /*# V1 = 1 yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/ + /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */ + fprintf(ficgp," u %d:(", ioffset); + if(i==nlstate+1) + fprintf(ficgp," $%d/(1.-$%d)) t 'pw.%d' with line ", \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); + else + fprintf(ficgp," $%d/(1.-$%d)) t 'p%d%d' with line ", \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,i,cpt ); + }else{ /* more than 2 covariates */ + if(cptcoveff ==1){ + ioffset=4; /* Age is in 4 */ + }else{ + ioffset=6; /* Age is in 6 */ + /*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ + /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ + } + fprintf(ficgp," u %d:(",ioffset); + kl=0; + strcpy(gplotcondition,"("); + for (k=1; k<=cptcoveff; k++){ /* For each covariate writing the chain of conditions */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to combination k1 and covariate k */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; /* Value of the modality of Tvaraff[k] */ + kl++; + sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); + kl++; + if(k 1) + sprintf(gplotcondition+strlen(gplotcondition)," && "); + } + strcpy(gplotcondition+strlen(gplotcondition),")"); + /* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ + /*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ + /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */ + /* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/ + if(i==nlstate+1){ + fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p.%d' with line ", gplotcondition, \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); + }else{ + fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ", gplotcondition, \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset +1+(i-1)+(nlstate+1)*nlstate,i,cpt ); + } + } /* end if covariate */ + } /* nlstate */ + fprintf(ficgp,"\nset out\n"); + } /* end cpt state*/ + } /* end covariate */ + } /* End if prevfcast */ + + + /* proba elementaires */ + fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n"); for(i=1,jk=1; i <=nlstate; i++){ fprintf(ficgp,"# initial state %d\n",i); for(k=1; k <=(nlstate+ndeath); k++){ @@ -4819,32 +6215,50 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) fprintf(ficgp,"# +exp(a13+b13*age+c13age*age+d13*V1+e13*V1*age))\n"); fprintf(ficgp,"# +exp(a14+b14*age+c14age*age+d14*V1+e14*V1*age)+...)\n"); fprintf(ficgp,"#\n"); - for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/ + for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/ fprintf(ficgp,"# ng=%d\n",ng); fprintf(ficgp,"# jk=1 to 2^%d=%d\n",cptcoveff,m); for(jk=1; jk <=m; jk++) { fprintf(ficgp,"# jk=%d\n",jk); - fprintf(ficgp,"\nset out \"%s%d_%d.svg\" \n",subdirf2(optionfilefiname,"pe"),jk,ng); - if (ng==2) + fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),jk,ng); + fprintf(ficgp,"\nset ter svg size 640, 480 "); + if (ng==1){ + fprintf(ficgp,"\nset ylabel \"Value of the logit of the model\"\n"); /* exp(a12+b12*x) could be nice */ + fprintf(ficgp,"\nunset log y"); + }else if (ng==2){ + fprintf(ficgp,"\nset ylabel \"Probability\"\n"); + fprintf(ficgp,"\nset log y"); + }else if (ng==3){ fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n"); - else - fprintf(ficgp,"\nunset title \n"); - fprintf(ficgp,"\nset ter svg size 640, 480\nset log y\nplot [%.f:%.f] ",ageminpar,agemaxpar); + fprintf(ficgp,"\nset log y"); + }else + fprintf(ficgp,"\nunset title "); + fprintf(ficgp,"\nplot [%.f:%.f] ",ageminpar,agemaxpar); i=1; for(k2=1; k2<=nlstate; k2++) { k3=i; for(k=1; k<=(nlstate+ndeath); k++) { if (k != k2){ - if(ng==2) + switch( ng) { + case 1: if(nagesqr==0) - fprintf(ficgp," %f*exp(p%d+p%d*x",YEARM/stepm,i,i+1); + fprintf(ficgp," p%d+p%d*x",i,i+1); else /* nagesqr =1 */ - fprintf(ficgp," %f*exp(p%d+p%d*x+p%d*x*x",YEARM/stepm,i,i+1,i+1+nagesqr); - else + fprintf(ficgp," p%d+p%d*x+p%d*x*x",i,i+1,i+1+nagesqr); + break; + case 2: /* ng=2 */ if(nagesqr==0) fprintf(ficgp," exp(p%d+p%d*x",i,i+1); else /* nagesqr =1 */ - fprintf(ficgp," exp(p%d+p%d*x+p%d*x*x",i,i+1,i+1+nagesqr); + fprintf(ficgp," exp(p%d+p%d*x+p%d*x*x",i,i+1,i+1+nagesqr); + break; + case 3: + if(nagesqr==0) + fprintf(ficgp," %f*exp(p%d+p%d*x",YEARM/stepm,i,i+1); + else /* nagesqr =1 */ + fprintf(ficgp," %f*exp(p%d+p%d*x+p%d*x*x",YEARM/stepm,i,i+1,i+1+nagesqr); + break; + } ij=1;/* To be checked else nbcode[0][0] wrong */ for(j=3; j <=ncovmodel-nagesqr; j++) { /* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */ @@ -4858,6 +6272,13 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) else fprintf(ficgp,"+p%d*%d",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); } + }else{ + i=i-ncovmodel; + if(ng !=1 ) /* For logit formula of log p11 is more difficult to get */ + fprintf(ficgp," (1."); + } + + if(ng != 1){ fprintf(ficgp,")/(1"); for(k1=1; k1 <=nlstate; k1++){ @@ -4865,7 +6286,7 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1); else /* nagesqr =1 */ fprintf(ficgp,"+exp(p%d+p%d*x+p%d*x*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1,k3+(k1-1)*ncovmodel+1+nagesqr); - + ij=1; for(j=3; j <=ncovmodel-nagesqr; j++){ if(ij <=cptcovage) { /* Bug valgrind */ @@ -4880,12 +6301,23 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) } fprintf(ficgp,")"); } - fprintf(ficgp,") t \"p%d%d\" ", k2,k); - if ((k+k2)!= (nlstate*2+ndeath)) fprintf(ficgp,","); - i=i+ncovmodel; + fprintf(ficgp,")"); + if(ng ==2) + fprintf(ficgp," t \"p%d%d\" ", k2,k); + else /* ng= 3 */ + fprintf(ficgp," t \"i%d%d\" ", k2,k); + }else{ /* end ng <> 1 */ + if( k !=k2) /* logit p11 is hard to draw */ + fprintf(ficgp," t \"logit(p%d%d)\" ", k2,k); } + if ((k+k2)!= (nlstate*2+ndeath) && ng != 1) + fprintf(ficgp,","); + if (ng == 1 && k!=k2 && (k+k2)!= (nlstate*2+ndeath)) + fprintf(ficgp,","); + i=i+ncovmodel; } /* end k */ } /* end k2 */ + fprintf(ficgp,"\n set out\n"); } /* end jk */ } /* end ng */ /* avoid: */ @@ -4894,46 +6326,159 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) /*************** Moving average **************/ -int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav){ - - int i, cpt, cptcod; - int modcovmax =1; - int mobilavrange, mob; - double age; - - modcovmax=2*cptcoveff;/* Max number of modalities. We suppose - a covariate has 2 modalities */ - if (cptcovn<1) modcovmax=1; /* At least 1 pass */ - - if(mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){ - if(mobilav==1) mobilavrange=5; /* default */ - else mobilavrange=mobilav; - for (age=bage; age<=fage; age++) - for (i=1; i<=nlstate;i++) - for (cptcod=1;cptcod<=modcovmax;cptcod++) - mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod]; - /* We keep the original values on the extreme ages bage, fage and for - fage+1 and bage-1 we use a 3 terms moving average; for fage+2 bage+2 - we use a 5 terms etc. until the borders are no more concerned. - */ - for (mob=3;mob <=mobilavrange;mob=mob+2){ - for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ - for (i=1; i<=nlstate;i++){ - for (cptcod=1;cptcod<=modcovmax;cptcod++){ - mobaverage[(int)age][i][cptcod] =probs[(int)age][i][cptcod]; - for (cpt=1;cpt<=(mob-1)/2;cpt++){ - mobaverage[(int)age][i][cptcod] +=probs[(int)age-cpt][i][cptcod]; - mobaverage[(int)age][i][cptcod] +=probs[(int)age+cpt][i][cptcod]; - } - mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/mob; - } - } - }/* end age */ - }/* end mob */ - }else return -1; - return 0; -}/* End movingaverage */ +/* int movingaverage(double ***probs, double bage, double fage, double ***mobaverage, int mobilav, double bageout, double fageout){ */ + int movingaverage(double ***probs, double bage, double fage, double ***mobaverage, int mobilav){ + + int i, cpt, cptcod; + int modcovmax =1; + int mobilavrange, mob; + int iage=0; + + double sum=0.; + double age; + double *sumnewp, *sumnewm; + double *agemingood, *agemaxgood; /* Currently identical for all covariates */ + + + /* modcovmax=2*cptcoveff;/\* Max number of modalities. We suppose */ + /* a covariate has 2 modalities, should be equal to ncovcombmax *\/ */ + + sumnewp = vector(1,ncovcombmax); + sumnewm = vector(1,ncovcombmax); + agemingood = vector(1,ncovcombmax); + agemaxgood = vector(1,ncovcombmax); + + for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ + sumnewm[cptcod]=0.; + sumnewp[cptcod]=0.; + agemingood[cptcod]=0; + agemaxgood[cptcod]=0; + } + if (cptcovn<1) ncovcombmax=1; /* At least 1 pass */ + + if(mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){ + if(mobilav==1) mobilavrange=5; /* default */ + else mobilavrange=mobilav; + for (age=bage; age<=fage; age++) + for (i=1; i<=nlstate;i++) + for (cptcod=1;cptcod<=ncovcombmax;cptcod++) + mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod]; + /* We keep the original values on the extreme ages bage, fage and for + fage+1 and bage-1 we use a 3 terms moving average; for fage+2 bage+2 + we use a 5 terms etc. until the borders are no more concerned. + */ + for (mob=3;mob <=mobilavrange;mob=mob+2){ + for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ + for (i=1; i<=nlstate;i++){ + for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ + mobaverage[(int)age][i][cptcod] =probs[(int)age][i][cptcod]; + for (cpt=1;cpt<=(mob-1)/2;cpt++){ + mobaverage[(int)age][i][cptcod] +=probs[(int)age-cpt][i][cptcod]; + mobaverage[(int)age][i][cptcod] +=probs[(int)age+cpt][i][cptcod]; + } + mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/mob; + } + } + }/* end age */ + }/* end mob */ + }else + return -1; + for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ + /* for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ */ + if(invalidvarcomb[cptcod]){ + printf("\nCombination (%d) ignored because no cases \n",cptcod); + continue; + } + agemingood[cptcod]=fage-(mob-1)/2; + for (age=fage-(mob-1)/2; age>=bage; age--){/* From oldest to youngest, finding the youngest wrong */ + sumnewm[cptcod]=0.; + for (i=1; i<=nlstate;i++){ + sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + } + if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */ + agemingood[cptcod]=age; + }else{ /* bad */ + for (i=1; i<=nlstate;i++){ + mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; + } /* i */ + } /* end bad */ + }/* age */ + sum=0.; + for (i=1; i<=nlstate;i++){ + sum+=mobaverage[(int)agemingood[cptcod]][i][cptcod]; + } + if(fabs(sum - 1.) > 1.e-3) { /* bad */ + printf("For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one at any descending age!\n",cptcod); + /* for (i=1; i<=nlstate;i++){ */ + /* mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; */ + /* } /\* i *\/ */ + } /* end bad */ + /* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */ + /* From youngest, finding the oldest wrong */ + agemaxgood[cptcod]=bage+(mob-1)/2; + for (age=bage+(mob-1)/2; age<=fage; age++){ + sumnewm[cptcod]=0.; + for (i=1; i<=nlstate;i++){ + sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + } + if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */ + agemaxgood[cptcod]=age; + }else{ /* bad */ + for (i=1; i<=nlstate;i++){ + mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; + } /* i */ + } /* end bad */ + }/* age */ + sum=0.; + for (i=1; i<=nlstate;i++){ + sum+=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; + } + if(fabs(sum - 1.) > 1.e-3) { /* bad */ + printf("For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one at any ascending age!\n",cptcod); + /* for (i=1; i<=nlstate;i++){ */ + /* mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; */ + /* } /\* i *\/ */ + } /* end bad */ + + for (age=bage; age<=fage; age++){ + printf("%d %d ", cptcod, (int)age); + sumnewp[cptcod]=0.; + sumnewm[cptcod]=0.; + for (i=1; i<=nlstate;i++){ + sumnewp[cptcod]+=probs[(int)age][i][cptcod]; + sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + /* printf("%.4f %.4f ",probs[(int)age][i][cptcod], mobaverage[(int)age][i][cptcod]); */ + } + /* printf("%.4f %.4f \n",sumnewp[cptcod], sumnewm[cptcod]); */ + } + /* printf("\n"); */ + /* } */ + /* brutal averaging */ + for (i=1; i<=nlstate;i++){ + for (age=1; age<=bage; age++){ + mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; + /* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); */ + } + for (age=fage; age<=AGESUP; age++){ + mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; + /* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); */ + } + } /* end i status */ + for (i=nlstate+1; i<=nlstate+ndeath;i++){ + for (age=1; age<=AGESUP; age++){ + /*printf("i=%d, age=%d, cptcod=%d\n",i, (int)age, cptcod);*/ + mobaverage[(int)age][i][cptcod]=0.; + } + } + }/* end cptcod */ + free_vector(sumnewm,1, ncovcombmax); + free_vector(sumnewp,1, ncovcombmax); + free_vector(agemaxgood,1, ncovcombmax); + free_vector(agemingood,1, ncovcombmax); + return 0; + }/* End movingaverage */ + /************** Forecasting ******************/ void prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){ @@ -4947,30 +6492,28 @@ void prevforecast(char fileres[], double double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean; double *popeffectif,*popcount; double ***p3mat; - double ***mobaverage; + /* double ***mobaverage; */ char fileresf[FILENAMELENGTH]; agelim=AGESUP; - prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); + /* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people + in each health status at the date of interview (if between dateprev1 and dateprev2). + We still use firstpass and lastpass as another selection. + */ + /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart,\ */ + /* firstpass, lastpass, stepm, weightopt, model); */ - strcpy(fileresf,"f"); - strcat(fileresf,fileres); + strcpy(fileresf,"F_"); + strcat(fileresf,fileresu); if((ficresf=fopen(fileresf,"w"))==NULL) { printf("Problem with forecast resultfile: %s\n", fileresf); fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf); } - printf("Computing forecasting: result on file '%s' \n", fileresf); - fprintf(ficlog,"Computing forecasting: result on file '%s' \n", fileresf); + printf("Computing forecasting: result on file '%s', please wait... \n", fileresf); + fprintf(ficlog,"Computing forecasting: result on file '%s', please wait... \n", fileresf); if (cptcoveff==0) ncodemax[cptcoveff]=1; - if (mobilav!=0) { - mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){ - fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); - printf(" Error in movingaverage mobilav=%d\n",mobilav); - } - } stepsize=(int) (stepm+YEARM-1)/YEARM; if (stepm<=12) stepsize=1; @@ -5001,63 +6544,192 @@ void prevforecast(char fileres[], double for(cptcov=1, k=0;cptcov<=i1;cptcov++){ for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){ k=k+1; - fprintf(ficresf,"\n#******"); + fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#"); for(j=1;j<=cptcoveff;j++) { - fprintf(ficresf," V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); } - fprintf(ficresf,"******\n"); - fprintf(ficresf,"# Covariate valuofcovar yearproj age"); + fprintf(ficresf," yearproj age"); for(j=1; j<=nlstate+ndeath;j++){ - for(i=1; i<=nlstate;i++) + for(i=1; i<=nlstate;i++) fprintf(ficresf," p%d%d",i,j); - fprintf(ficresf," p.%d",j); + fprintf(ficresf," wp.%d",j); } - for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { - fprintf(ficresf,"\n"); - fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp); - - for (agec=fage; agec>=(ageminpar-1); agec--){ - nhstepm=(int) rint((agelim-agec)*YEARM/stepm); - nhstepm = nhstepm/hstepm; - p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); - oldm=oldms;savm=savms; - hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k); - - for (h=0; h<=nhstepm; h++){ - if (h*hstepm/YEARM*stepm ==yearp) { + for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { + fprintf(ficresf,"\n"); + fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp); + for (agec=fage; agec>=(ageminpar-1); agec--){ + nhstepm=(int) rint((agelim-agec)*YEARM/stepm); + nhstepm = nhstepm/hstepm; + p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + oldm=oldms;savm=savms; + hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k); + + for (h=0; h<=nhstepm; h++){ + if (h*hstepm/YEARM*stepm ==yearp) { fprintf(ficresf,"\n"); for(j=1;j<=cptcoveff;j++) fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm); - } - for(j=1; j<=nlstate+ndeath;j++) { - ppij=0.; - for(i=1; i<=nlstate;i++) { - if (mobilav==1) - ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][cptcod]; - else { - ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][cptcod]; - } - if (h*hstepm/YEARM*stepm== yearp) { - fprintf(ficresf," %.3f", p3mat[i][j][h]); - } - } /* end i */ - if (h*hstepm/YEARM*stepm==yearp) { - fprintf(ficresf," %.3f", ppij); - } - }/* end j */ - } /* end h */ - free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); - } /* end agec */ + fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm); + } + for(j=1; j<=nlstate+ndeath;j++) { + ppij=0.; + for(i=1; i<=nlstate;i++) { + if (mobilav==1) + ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][cptcod]; + else { + ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][cptcod]; + } + if (h*hstepm/YEARM*stepm== yearp) { + fprintf(ficresf," %.3f", p3mat[i][j][h]); + } + } /* end i */ + if (h*hstepm/YEARM*stepm==yearp) { + fprintf(ficresf," %.3f", ppij); + } + }/* end j */ + } /* end h */ + free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + } /* end agec */ } /* end yearp */ } /* end cptcod */ } /* end cptcov */ - - if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - + fclose(ficresf); + printf("End of Computing forecasting \n"); + fprintf(ficlog,"End of Computing forecasting\n"); + } +/* /\************** Back Forecasting ******************\/ */ +/* void prevbackforecast(char fileres[], double anback1, double mback1, double jback1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anback2, double p[], int cptcoveff){ */ +/* /\* back1, year, month, day of starting backection */ +/* agemin, agemax range of age */ +/* dateprev1 dateprev2 range of dates during which prevalence is computed */ +/* anback2 year of en of backection (same day and month as back1). */ +/* *\/ */ +/* int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1; */ +/* double agec; /\* generic age *\/ */ +/* double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean; */ +/* double *popeffectif,*popcount; */ +/* double ***p3mat; */ +/* /\* double ***mobaverage; *\/ */ +/* char fileresfb[FILENAMELENGTH]; */ + +/* agelim=AGESUP; */ +/* /\* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people */ +/* in each health status at the date of interview (if between dateprev1 and dateprev2). */ +/* We still use firstpass and lastpass as another selection. */ +/* *\/ */ +/* /\* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart,\ *\/ */ +/* /\* firstpass, lastpass, stepm, weightopt, model); *\/ */ +/* prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */ + +/* strcpy(fileresfb,"FB_"); */ +/* strcat(fileresfb,fileresu); */ +/* if((ficresfb=fopen(fileresfb,"w"))==NULL) { */ +/* printf("Problem with back forecast resultfile: %s\n", fileresfb); */ +/* fprintf(ficlog,"Problem with back forecast resultfile: %s\n", fileresfb); */ +/* } */ +/* printf("Computing back forecasting: result on file '%s', please wait... \n", fileresfb); */ +/* fprintf(ficlog,"Computing back forecasting: result on file '%s', please wait... \n", fileresfb); */ + +/* if (cptcoveff==0) ncodemax[cptcoveff]=1; */ + +/* /\* if (mobilav!=0) { *\/ */ +/* /\* mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); *\/ */ +/* /\* if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){ *\/ */ +/* /\* fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); *\/ */ +/* /\* printf(" Error in movingaverage mobilav=%d\n",mobilav); *\/ */ +/* /\* } *\/ */ +/* /\* } *\/ */ + +/* stepsize=(int) (stepm+YEARM-1)/YEARM; */ +/* if (stepm<=12) stepsize=1; */ +/* if(estepm < stepm){ */ +/* printf ("Problem %d lower than %d\n",estepm, stepm); */ +/* } */ +/* else hstepm=estepm; */ + +/* hstepm=hstepm/stepm; */ +/* yp1=modf(dateintmean,&yp);/\* extracts integral of datemean in yp and */ +/* fractional in yp1 *\/ */ +/* anprojmean=yp; */ +/* yp2=modf((yp1*12),&yp); */ +/* mprojmean=yp; */ +/* yp1=modf((yp2*30.5),&yp); */ +/* jprojmean=yp; */ +/* if(jprojmean==0) jprojmean=1; */ +/* if(mprojmean==0) jprojmean=1; */ + +/* i1=cptcoveff; */ +/* if (cptcovn < 1){i1=1;} */ + +/* fprintf(ficresfb,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); */ + +/* fprintf(ficresfb,"#****** Routine prevbackforecast **\n"); */ + +/* /\* if (h==(int)(YEARM*yearp)){ *\/ */ +/* for(cptcov=1, k=0;cptcov<=i1;cptcov++){ */ +/* for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){ */ +/* k=k+1; */ +/* fprintf(ficresfb,"\n#****** hbijx=probability over h years, hp.jx is weighted by observed prev \n#"); */ +/* for(j=1;j<=cptcoveff;j++) { */ +/* fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ +/* } */ +/* fprintf(ficresfb," yearbproj age"); */ +/* for(j=1; j<=nlstate+ndeath;j++){ */ +/* for(i=1; i<=nlstate;i++) */ +/* fprintf(ficresfb," p%d%d",i,j); */ +/* fprintf(ficresfb," p.%d",j); */ +/* } */ +/* for (yearp=0; yearp>=(anback2-anback1);yearp -=stepsize) { */ +/* /\* for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { *\/ */ +/* fprintf(ficresfb,"\n"); */ +/* fprintf(ficresfb,"\n# Back Forecasting at date %.lf/%.lf/%.lf ",jback1,mback1,anback1+yearp); */ +/* for (agec=fage; agec>=(ageminpar-1); agec--){ */ +/* nhstepm=(int) rint((agelim-agec)*YEARM/stepm); */ +/* nhstepm = nhstepm/hstepm; */ +/* p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); */ +/* oldm=oldms;savm=savms; */ +/* hbxij(p3mat,nhstepm,agec,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm,oldm,savm, dnewm, doldm, dsavm, k); */ +/* for (h=0; h<=nhstepm; h++){ */ +/* if (h*hstepm/YEARM*stepm ==yearp) { */ +/* fprintf(ficresfb,"\n"); */ +/* for(j=1;j<=cptcoveff;j++) */ +/* fprintf(ficresfb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ +/* fprintf(ficresfb,"%.f %.f ",anback1+yearp,agec+h*hstepm/YEARM*stepm); */ +/* } */ +/* for(j=1; j<=nlstate+ndeath;j++) { */ +/* ppij=0.; */ +/* for(i=1; i<=nlstate;i++) { */ +/* if (mobilav==1) */ +/* ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][cptcod]; */ +/* else { */ +/* ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][cptcod]; */ +/* } */ +/* if (h*hstepm/YEARM*stepm== yearp) { */ +/* fprintf(ficresfb," %.3f", p3mat[i][j][h]); */ +/* } */ +/* } /\* end i *\/ */ +/* if (h*hstepm/YEARM*stepm==yearp) { */ +/* fprintf(ficresfb," %.3f", ppij); */ +/* } */ +/* }/\* end j *\/ */ +/* } /\* end h *\/ */ +/* free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); */ +/* } /\* end agec *\/ */ +/* } /\* end yearp *\/ */ +/* } /\* end cptcod *\/ */ +/* } /\* end cptcov *\/ */ + +/* /\* if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); *\/ */ + +/* fclose(ficresfb); */ +/* printf("End of Computing Back forecasting \n"); */ +/* fprintf(ficlog,"End of Computing Back forecasting\n"); */ + +/* } */ + /************** Forecasting *****not tested NB*************/ void populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){ @@ -5066,7 +6738,7 @@ void populforecast(char fileres[], doubl double calagedatem, agelim, kk1, kk2; double *popeffectif,*popcount; double ***p3mat,***tabpop,***tabpopprev; - double ***mobaverage; + /* double ***mobaverage; */ char filerespop[FILENAMELENGTH]; tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); @@ -5077,8 +6749,8 @@ void populforecast(char fileres[], doubl prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); - strcpy(filerespop,"pop"); - strcat(filerespop,fileres); + strcpy(filerespop,"POP_"); + strcat(filerespop,fileresu); if((ficrespop=fopen(filerespop,"w"))==NULL) { printf("Problem with forecast resultfile: %s\n", filerespop); fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop); @@ -5088,13 +6760,13 @@ void populforecast(char fileres[], doubl if (cptcoveff==0) ncodemax[cptcoveff]=1; - if (mobilav!=0) { - mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){ - fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); - printf(" Error in movingaverage mobilav=%d\n",mobilav); - } - } + /* if (mobilav!=0) { */ + /* mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ + /* if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){ */ + /* fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); */ + /* printf(" Error in movingaverage mobilav=%d\n",mobilav); */ + /* } */ + /* } */ stepsize=(int) (stepm+YEARM-1)/YEARM; if (stepm<=12) stepsize=1; @@ -5103,7 +6775,7 @@ void populforecast(char fileres[], doubl hstepm=1; hstepm=hstepm/stepm; - + if (popforecast==1) { if((ficpop=fopen(popfile,"r"))==NULL) { printf("Problem with population file : %s\n",popfile);exit(0); @@ -5115,13 +6787,13 @@ void populforecast(char fileres[], doubl i=1; while ((c=fscanf(ficpop,"%d %lf\n",&popage[i],&popcount[i])) != EOF) i=i+1; - + imx=i; for (i=1; i=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ + for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); nhstepm = nhstepm/hstepm; p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); oldm=oldms;savm=savms; hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); - + for (h=0; h<=nhstepm; h++){ if (h==(int) (calagedatem+YEARM*cpt)) { fprintf(ficrespop,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm); @@ -5158,27 +6830,28 @@ void populforecast(char fileres[], doubl } if (h==(int)(calagedatem+12*cpt)){ tabpop[(int)(agedeb)][j][cptcod]=kk1; - /*fprintf(ficrespop," %.3f", kk1); - if (popforecast==1) fprintf(ficrespop," [%.f]", kk1*popeffectif[(int)agedeb+1]);*/ + /*fprintf(ficrespop," %.3f", kk1); + if (popforecast==1) fprintf(ficrespop," [%.f]", kk1*popeffectif[(int)agedeb+1]);*/ } } for(i=1; i<=nlstate;i++){ kk1=0.; - for(j=1; j<=nlstate;j++){ - kk1= kk1+tabpop[(int)(agedeb)][j][cptcod]; - } - tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1*popeffectif[(int)(agedeb+(calagedatem+12*cpt)*hstepm/YEARM*stepm-1)]; + for(j=1; j<=nlstate;j++){ + kk1= kk1+tabpop[(int)(agedeb)][j][cptcod]; + } + tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1*popeffectif[(int)(agedeb+(calagedatem+12*cpt)*hstepm/YEARM*stepm-1)]; } - - if (h==(int)(calagedatem+12*cpt)) for(j=1; j<=nlstate;j++) - fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]); + + if (h==(int)(calagedatem+12*cpt)) + for(j=1; j<=nlstate;j++) + fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]); } free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); } } - - /******/ - + + /******/ + for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) { fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt); for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ @@ -5203,11 +6876,11 @@ void populforecast(char fileres[], doubl free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); } } - } + } } - - if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - + + /* if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ + if (popforecast==1) { free_ivector(popage,0,AGESUP); free_vector(popeffectif,0,AGESUP); @@ -5217,7 +6890,7 @@ void populforecast(char fileres[], doubl free_ma3x(tabpopprev,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); fclose(ficrespop); } /* End of popforecast */ - + int fileappend(FILE *fichier, char *optionfich) { if((fichier=fopen(optionfich,"a"))==NULL) { @@ -5358,7 +7031,7 @@ 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++) { + for (i=1;i<=imx ; i++) { sump=sump+weight[i]; /* sump=sump+1;*/ num=num+1; @@ -5431,7 +7104,7 @@ double gompertz_f(const gsl_vector *v, v #endif /******************* Printing html file ***********/ -void printinghtmlmort(char fileres[], char title[], char datafile[], int firstpass, \ +void printinghtmlmort(char fileresu[], 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; @@ -5455,7 +7128,7 @@ fprintf(fichtm,"

          • Life tablenlstate){ *nberr = *nberr + 1; - 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 (%d)\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr); - 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 (%d)\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr); + if(firstone == 0){ + firstone=1; + 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 can be biased (%d) because status is a death state %d at wave %d. Wave dropped.\nOther similar cases in log file\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr,s[m][i],m); + } + 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 can be biased (%d) because status is a death state %d at wave %d. Wave dropped.\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr,s[m][i],m); s[m][i]=-1; } if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){ @@ -5895,12 +7573,12 @@ int calandcheckages(int imx, int maxwav, 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] >0 || s[m][i]==-1 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5){ /* What if s[m][i]=-1 */ 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;*/ + /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/ }else { if ((int)andc[i]!=9999){ nbwarn++; @@ -5910,7 +7588,7 @@ int calandcheckages(int imx, int maxwav, } } } /* agedc > 0 */ - } + } /* end if */ 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]); @@ -5926,17 +7604,23 @@ int calandcheckages(int imx, int maxwav, } /*agev[m][i]=anint[m][i]-annais[i];*/ /* agev[m][i] = age[i]+2*m;*/ - } + } /* en if 9*/ else { /* =9 */ + /* printf("Debug num[%d]=%ld s[%d][%d]=%d\n",i,num[i], m,i, s[m][i]); */ agev[m][i]=1; s[m][i]=-1; } } - else /*= 0 Unknown */ + else if(s[m][i]==0) /*= 0 Unknown */ agev[m][i]=1; - } - + else{ + printf("Warning, num[%d]=%ld, s[%d][%d]=%d\n", i, num[i], m, i,s[m][i]); + fprintf(ficlog, "Warning, num[%d]=%ld, s[%d][%d]=%d\n", i, num[i], m, i,s[m][i]); + agev[m][i]=0; + } + } /* End for lastpass */ } + for (i=1; i<=imx; i++) { for(m=firstpass; (m<=lastpass); m++){ if (s[m][i] > (nlstate+ndeath)) { @@ -6160,76 +7844,190 @@ void syscompilerinfo(int logged) #endif - } +} -int prevalence_limit(double *p, double **prlim, double ageminpar, double agemaxpar){ +int prevalence_limit(double *p, double **prlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp){ /*--------------- Prevalence limit (period or stable prevalence) --------------*/ int i, j, k, i1 ; - double ftolpl = 1.e-10; + /* double ftolpl = 1.e-10; */ double age, agebase, agelim; + double tot; - strcpy(filerespl,"pl"); - strcat(filerespl,fileres); - if((ficrespl=fopen(filerespl,"w"))==NULL) { - printf("Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1; - fprintf(ficlog,"Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1; - } - 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"); + strcpy(filerespl,"PL_"); + strcat(filerespl,fileresu); + if((ficrespl=fopen(filerespl,"w"))==NULL) { + printf("Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1; + fprintf(ficlog,"Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1; + } + 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. Precision given by ftolpl=%g \n", ftolpl); + fprintf(ficrespl,"#Age "); + for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i); + fprintf(ficrespl,"\n"); - /* prlim=matrix(1,nlstate,1,nlstate);*/ /* back in main */ + /* prlim=matrix(1,nlstate,1,nlstate);*/ /* back in main */ - agebase=ageminpar; - agelim=agemaxpar; + agebase=ageminpar; + agelim=agemaxpar; + + i1=pow(2,cptcoveff); + if (cptcovn < 1){i1=1;} + + for(k=1; k<=i1;k++){ + /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ + /* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ + //for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ + /* k=k+1; */ + /* to clean */ + //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); + fprintf(ficrespl,"#******"); + printf("#******"); + fprintf(ficlog,"#******"); + for(j=1;j<=cptcoveff;j++) { + fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + fprintf(ficrespl,"******\n"); + printf("******\n"); + fprintf(ficlog,"******\n"); + if(invalidvarcomb[k]){ + printf("\nCombination (%d) ignored because no cases \n",k); + fprintf(ficrespl,"#Combination (%d) ignored because no cases \n",k); + fprintf(ficlog,"\nCombination (%d) ignored because no cases \n",k); + continue; + } - i1=pow(2,cptcoveff); - if (cptcovn < 1){i1=1;} + fprintf(ficrespl,"#Age "); + for(j=1;j<=cptcoveff;j++) { + fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); + fprintf(ficrespl,"Total Years_to_converge\n"); + + for (age=agebase; age<=agelim; age++){ + /* for (age=agebase; age<=agebase; age++){ */ + prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k); + fprintf(ficrespl,"%.0f ",age ); + for(j=1;j<=cptcoveff;j++) + fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + tot=0.; + for(i=1; i<=nlstate;i++){ + tot += prlim[i][i]; + fprintf(ficrespl," %.5f", prlim[i][i]); + } + fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp); + } /* Age */ + /* was end of cptcod */ + } /* cptcov */ + return 0; +} + +int back_prevalence_limit(double *p, double **bprlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp, double dateprev1,double dateprev2, int firstpass, int lastpass, int mobilavproj){ + /*--------------- Back Prevalence limit (period or stable prevalence) --------------*/ + + /* Computes the back prevalence limit for any combination of covariate values + * at any age between ageminpar and agemaxpar + */ + int i, j, k, i1 ; + /* double ftolpl = 1.e-10; */ + double age, agebase, agelim; + double tot; + /* double ***mobaverage; */ + /* double **dnewm, **doldm, **dsavm; /\* for use *\/ */ + + strcpy(fileresplb,"PLB_"); + strcat(fileresplb,fileresu); + if((ficresplb=fopen(fileresplb,"w"))==NULL) { + printf("Problem with period (stable) back prevalence resultfile: %s\n", fileresplb);return 1; + fprintf(ficlog,"Problem with period (stable) back prevalence resultfile: %s\n", fileresplb);return 1; + } + printf("Computing period (stable) back prevalence: result on file '%s' \n", fileresplb); + fprintf(ficlog,"Computing period (stable) back prevalence: result on file '%s' \n", fileresplb); + pstamp(ficresplb); + fprintf(ficresplb,"# Period (stable) back prevalence. Precision given by ftolpl=%g \n", ftolpl); + fprintf(ficresplb,"#Age "); + for(i=1; i<=nlstate;i++) fprintf(ficresplb,"%d-%d ",i,i); + fprintf(ficresplb,"\n"); + + + /* prlim=matrix(1,nlstate,1,nlstate);*/ /* back in main */ + + agebase=ageminpar; + agelim=agemaxpar; + + + i1=pow(2,cptcoveff); + if (cptcovn < 1){i1=1;} - for(cptcov=1,k=0;cptcov<=i1;cptcov++){ + for(k=1; k<=i1;k++){ + /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ /* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ - //for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ - k=k+1; - /* to clean */ - //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); - fprintf(ficrespl,"#******"); - printf("#******"); - fprintf(ficlog,"#******"); - for(j=1;j<=cptcoveff;j++) { - fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - } - fprintf(ficrespl,"******\n"); - printf("******\n"); - fprintf(ficlog,"******\n"); - - fprintf(ficrespl,"#Age "); - for(j=1;j<=cptcoveff;j++) { - fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - } - for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i); - fprintf(ficrespl,"\n"); - - for (age=agebase; age<=agelim; age++){ - /* for (age=agebase; age<=agebase; 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]][codtabm(k,j)]); - for(i=1; i<=nlstate;i++) - fprintf(ficrespl," %.5f", prlim[i][i]); - fprintf(ficrespl,"\n"); - } /* Age */ - /* was end of cptcod */ - } /* cptcov */ - return 0; + //for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ + /* k=k+1; */ + /* to clean */ + //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); + fprintf(ficresplb,"#******"); + printf("#******"); + fprintf(ficlog,"#******"); + for(j=1;j<=cptcoveff;j++) { + fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + fprintf(ficresplb,"******\n"); + printf("******\n"); + fprintf(ficlog,"******\n"); + if(invalidvarcomb[k]){ + printf("\nCombination (%d) ignored because no cases \n",k); + fprintf(ficresplb,"#Combination (%d) ignored because no cases \n",k); + fprintf(ficlog,"\nCombination (%d) ignored because no cases \n",k); + continue; + } + + fprintf(ficresplb,"#Age "); + for(j=1;j<=cptcoveff;j++) { + fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + for(i=1; i<=nlstate;i++) fprintf(ficresplb," %d-%d ",i,i); + fprintf(ficresplb,"Total Years_to_converge\n"); + + + for (age=agebase; age<=agelim; age++){ + /* for (age=agebase; age<=agebase; age++){ */ + if(mobilavproj > 0){ + /* bprevalim(bprlim, mobaverage, nlstate, p, age, ageminpar, agemaxpar, oldm, savm, doldm, dsavm, ftolpl, ncvyearp, k); */ + /* bprevalim(bprlim, mobaverage, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ + bprevalim(bprlim, mobaverage, nlstate, p, age, ftolpl, ncvyearp, k); + }else if (mobilavproj == 0){ + printf("There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); + fprintf(ficlog,"There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); + exit(1); + }else{ + /* bprevalim(bprlim, probs, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ + bprevalim(bprlim, probs, nlstate, p, age, ftolpl, ncvyearp, k); + } + fprintf(ficresplb,"%.0f ",age ); + for(j=1;j<=cptcoveff;j++) + fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + tot=0.; + for(i=1; i<=nlstate;i++){ + tot += bprlim[i][i]; + fprintf(ficresplb," %.5f", bprlim[i][i]); + } + fprintf(ficresplb," %.3f %d\n", tot, *ncvyearp); + } /* Age */ + /* was end of cptcod */ + } /* cptcov */ + + /* hBijx(p, bage, fage); */ + /* fclose(ficrespijb); */ + + return 0; } - + int hPijx(double *p, int bage, int fage){ /*------------- h Pij x at various ages ------------*/ @@ -6242,7 +8040,7 @@ int hPijx(double *p, int bage, int fage) double agedeb; double ***p3mat; - strcpy(filerespij,"pij"); strcat(filerespij,fileres); + strcpy(filerespij,"PIJ_"); strcat(filerespij,fileresu); if((ficrespij=fopen(filerespij,"w"))==NULL) { printf("Problem with Pij resultfile: %s\n", filerespij); return 1; fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij); return 1; @@ -6256,14 +8054,14 @@ int hPijx(double *p, int bage, int fage) 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 "); i1= pow(2,cptcoveff); - /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ - /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ - /* k=k+1; */ + /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ + /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ + /* k=k+1; */ for (k=1; k <= (int) pow(2,cptcoveff); k++){ fprintf(ficrespij,"\n#****** "); for(j=1;j<=cptcoveff;j++) @@ -6297,8 +8095,89 @@ int hPijx(double *p, int bage, int fage) } /*}*/ } - return 0; + return 0; } + + int hBijx(double *p, int bage, int fage, double ***prevacurrent){ + /*------------- h Bij x at various ages ------------*/ + + int stepsize; + /* int agelim; */ + int ageminl; + int hstepm; + int nhstepm; + int h, i, i1, j, k; + + double agedeb; + double ***p3mat; + + strcpy(filerespijb,"PIJB_"); strcat(filerespijb,fileresu); + if((ficrespijb=fopen(filerespijb,"w"))==NULL) { + printf("Problem with Pij back resultfile: %s\n", filerespijb); return 1; + fprintf(ficlog,"Problem with Pij back resultfile: %s\n", filerespijb); return 1; + } + printf("Computing pij back: result on file '%s' \n", filerespijb); + fprintf(ficlog,"Computing pij back: result on file '%s' \n", filerespijb); + + stepsize=(int) (stepm+YEARM-1)/YEARM; + /*if (stepm<=24) stepsize=2;*/ + + /* agelim=AGESUP; */ + ageminl=30; + hstepm=stepsize*YEARM; /* Every year of age */ + hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */ + + /* hstepm=1; aff par mois*/ + pstamp(ficrespijb); + fprintf(ficrespijb,"#****** h Pij x Back Probability to be in state i at age x-h being in j at x "); + i1= pow(2,cptcoveff); + /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ + /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ + /* k=k+1; */ + for (k=1; k <= (int) pow(2,cptcoveff); k++){ + fprintf(ficrespijb,"\n#****** "); + for(j=1;j<=cptcoveff;j++) + fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficrespijb,"******\n"); + if(invalidvarcomb[k]){ + fprintf(ficrespijb,"\n#Combination (%d) ignored because no cases \n",k); + continue; + } + + /* for (agedeb=fage; agedeb>=bage; agedeb--){ /\* If stepm=6 months *\/ */ + for (agedeb=bage; agedeb<=fage; agedeb++){ /* If stepm=6 months and estepm=24 (2 years) */ + /* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /\* Typically 20 years = 20*12/6=40 *\/ */ + nhstepm=(int) rint((agedeb-ageminl)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ + nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 */ + + /* nhstepm=nhstepm*YEARM; aff par mois*/ + + p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + /* oldm=oldms;savm=savms; */ + /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */ + hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k); + /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */ + fprintf(ficrespijb,"# Cov Agex agex-h hpijx with i,j="); + for(i=1; i<=nlstate;i++) + for(j=1; j<=nlstate+ndeath;j++) + fprintf(ficrespijb," %1d-%1d",i,j); + fprintf(ficrespijb,"\n"); + for (h=0; h<=nhstepm; h++){ + /*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/ + fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb - h*hstepm/YEARM*stepm ); + /* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); */ + for(i=1; i<=nlstate;i++) + for(j=1; j<=nlstate+ndeath;j++) + fprintf(ficrespijb," %.5f", p3mat[i][j][h]); + fprintf(ficrespijb,"\n"); + } + free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + fprintf(ficrespijb,"\n"); + } + /*}*/ + } + return 0; + } /* hBijx */ /***********************************************/ @@ -6316,7 +8195,7 @@ int main(int argc, char *argv[]) #endif int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav); int i,j, k, n=MAXN,iter=0,m,size=100, cptcod; - + int ncvyear=0; /* Number of years needed for the period prevalence to converge */ int jj, ll, li, lj, lk; int numlinepar=0; /* Current linenumber of parameter file */ int num_filled; @@ -6331,11 +8210,12 @@ int main(int argc, char *argv[]) double agedeb=0.; double ageminpar=AGEOVERFLOW,agemin=AGEOVERFLOW, agemaxpar=-AGEOVERFLOW, agemax=-AGEOVERFLOW; + double ageminout=-AGEOVERFLOW,agemaxout=AGEOVERFLOW; /* Smaller Age range redefined after movingaverage */ double fret; double dum=0.; /* Dummy variable */ double ***p3mat; - double ***mobaverage; + /* double ***mobaverage; */ char line[MAXLINE]; char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE]; @@ -6351,6 +8231,7 @@ int main(int argc, char *argv[]) int *tab; int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */ + int backcast=0; int mobilav=0,popforecast=0; int hstepm=0, nhstepm=0; int agemortsup; @@ -6361,9 +8242,11 @@ int main(int argc, char *argv[]) double bage=0, fage=110., age, agelim=0., agebase=0.; double ftolpl=FTOL; double **prlim; + double **bprlim; double ***param; /* Matrix of parameters */ double *p; double **matcov; /* Matrix of covariance */ + double **hess; /* Hessian matrix */ double ***delti3; /* Scale */ double *delti; /* Scale */ double ***eij, ***vareij; @@ -6371,6 +8254,8 @@ int main(int argc, char *argv[]) double *epj, vepp; double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000; + double jback1=1,mback1=1,anback1=2000,jback2=1,mback2=1,anback2=2000; + double **ximort; char *alph[]={"a","a","b","c","d","e"}, str[4]="1234"; int *dcwave; @@ -6423,14 +8308,23 @@ int main(int argc, char *argv[]) printf("\nIMaCh version %s, %s\n%s",version, copyright, fullversion); if(argc <=1){ printf("\nEnter the parameter file name: "); - fgets(pathr,FILENAMELENGTH,stdin); + if(!fgets(pathr,FILENAMELENGTH,stdin)){ + printf("ERROR Empty parameter file name\n"); + goto end; + } i=strlen(pathr); if(pathr[i-1]=='\n') pathr[i-1]='\0'; i=strlen(pathr); - if(pathr[i-1]==' ') /* This may happen when dragging on oS/X! */ + if(i >= 1 && pathr[i-1]==' ') {/* This may happen when dragging on oS/X! */ pathr[i-1]='\0'; - for (tok = pathr; tok != NULL; ){ + } + i=strlen(pathr); + if( i==0 ){ + printf("ERROR Empty parameter file name\n"); + goto end; + } + 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); @@ -6503,7 +8397,9 @@ int main(int argc, char *argv[]) /* */ strcpy(fileres,"r"); strcat(fileres, optionfilefiname); + strcat(fileresu, optionfilefiname); /* Without r in front */ strcat(fileres,".txt"); /* Other files have txt extension */ + strcat(fileresu,".txt"); /* Other files have txt extension */ /* Main ---------arguments file --------*/ @@ -6518,7 +8414,7 @@ int main(int argc, char *argv[]) strcpy(filereso,"o"); - strcat(filereso,fileres); + strcat(filereso,fileresu); if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */ printf("Problem with Output resultfile: %s\n", filereso); fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso); @@ -6564,11 +8460,13 @@ int main(int argc, char *argv[]) if((num_filled=sscanf(line,"ftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n", \ &ftol, &stepm, &ncovcol, &nlstate, &ndeath, &maxwav, &mle, &weightopt)) !=EOF){ if (num_filled != 8) { - printf("Not 8\n"); + printf("Not 8 parameters, for example:ftol=1.e-8 stepm=12 ncovcol=2 nlstate=2 ndeath=1 maxwav=3 mle=1 weight=1\n"); + printf("but line=%s\n",line); } printf("ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n",ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt); } - + /* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */ + /*ftolpl=6.e-4; *//* 6.e-3 make convergences in less than 80 loops for the prevalence limit */ /* Third parameter line */ while(fgets(line, MAXLINE, ficpar)) { /* If line starts with a # it is a comment */ @@ -6581,8 +8479,10 @@ int main(int argc, char *argv[]) }else break; } - if((num_filled=sscanf(line,"model=1+age%[^.\n]\n", model)) !=EOF){ - if (num_filled != 1) { + if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){ + if (num_filled == 0) + model[0]='\0'; + else if (num_filled != 1){ printf("ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line); fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line); model[0]='\0'; @@ -6592,18 +8492,17 @@ int main(int argc, char *argv[]) if (model[0]=='+'){ for(i=1; i<=strlen(model);i++) modeltemp[i-1]=model[i]; + strcpy(model,modeltemp); } - strcpy(model,modeltemp); } /* printf(" model=1+age%s modeltemp= %s, model=%s\n",model, modeltemp, model);fflush(stdout); */ + printf("model=1+age+%s\n",model);fflush(stdout); } /* fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=1+age+%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model); */ /* numlinepar=numlinepar+3; /\* In general *\/ */ /* printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model); */ - if(model[strlen(model)-1]=='.') /* Suppressing leading dot in the model */ - model[strlen(model)-1]='\0'; - fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model); - fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model); + fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model); + fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model); fflush(ficlog); /* if(model[0]=='#'|| model[0]== '\0'){ */ if(model[0]=='#'){ @@ -6661,15 +8560,14 @@ int main(int argc, char *argv[]) fclose (ficlog); goto end; exit(0); - } - else if(mle==-3) { /* Main Wizard */ + } else if(mle==-5) { /* Main Wizard */ prwizard(ncovmodel, nlstate, ndeath, model, ficparo); printf(" You chose mle=-3, look at file %s for a template of covariance matrix \n",filereso); fprintf(ficlog," You chose 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); - } - else{ + hess=matrix(1,npar,1,npar); + } else{ /* Begin of mle != -1 or -5 */ /* Read guessed parameters */ /* Reads comments: lines beginning with '#' */ while((c=getc(ficpar))=='#' && c!= EOF){ @@ -6684,37 +8582,37 @@ int main(int argc, char *argv[]) param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); for(i=1; i <=nlstate; i++){ - j=0; + j=0; for(jj=1; jj <=nlstate+ndeath; jj++){ - if(jj==i) continue; - j++; - fscanf(ficpar,"%1d%1d",&i1,&j1); - if ((i1 != i) || (j1 != jj)){ - printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \ + if(jj==i) continue; + j++; + fscanf(ficpar,"%1d%1d",&i1,&j1); + if ((i1 != i) || (j1 != jj)){ + 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,jj); - fprintf(ficlog,"%1d%1d",i,jj); - 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"); + exit(1); + } + fprintf(ficparo,"%1d%1d",i1,j1); + if(mle==1) + printf("%1d%1d",i,jj); + fprintf(ficlog,"%1d%1d",i,jj); + 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); @@ -6735,35 +8633,35 @@ run imach with mle=-1 to get a correct t 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,"%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"); } } fflush(ficlog); - + /* Reads covariance matrix */ 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 */ - + /* Reads comments: lines beginning with '#' */ while((c=getc(ficpar))=='#' && c!= EOF){ ungetc(c,ficpar); @@ -6774,46 +8672,48 @@ run imach with mle=-1 to get a correct t fputs(line,ficlog); } ungetc(c,ficpar); - + matcov=matrix(1,npar,1,npar); + hess=matrix(1,npar,1,npar); for(i=1; i <=npar; i++) for(j=1; j <=npar; j++) matcov[i][j]=0.; - + /* Scans npar lines */ for(i=1; i <=npar; i++){ count=fscanf(ficpar,"%1d%1d%1d",&i1,&j1,&jk); if(count != 3){ - printf("Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\ + printf("Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\ This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\ Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model); - fprintf(ficlog,"Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\ + fprintf(ficlog,"Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\ This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\ Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model); - exit(1); - }else - if(mle==1) - printf("%1d%1d%1d",i1,j1,jk); + exit(1); + }else{ + if(mle==1) + printf("%1d%1d%1d",i1,j1,jk); + } fprintf(ficlog,"%1d%1d%1d",i1,j1,jk); fprintf(ficparo,"%1d%1d%1d",i1,j1,jk); 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]); + 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]); } fscanf(ficpar,"\n"); numlinepar++; if(mle==1) - printf("\n"); + printf("\n"); fprintf(ficlog,"\n"); fprintf(ficparo,"\n"); } /* End of read covariance matrix npar lines */ for(i=1; i <=npar; i++) for(j=i+1;j<=npar;j++) - matcov[i][j]=matcov[j][i]; + matcov[i][j]=matcov[j][i]; if(mle==1) printf("\n"); @@ -6827,12 +8727,12 @@ Please run with mle=-1 to get a correct 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; + printf("Problem writing new parameter file: %s\n", rfileres);goto end; + fprintf(ficlog,"Problem writing new parameter file: %s\n", rfileres);goto end; } fprintf(ficres,"#%s\n",version); } /* End of mle != -3 */ - + /* Main data */ n= lastobs; @@ -6841,10 +8741,19 @@ Please run with mle=-1 to get a correct annais=vector(1,n); moisdc=vector(1,n); andc=vector(1,n); + weight=vector(1,n); agedc=vector(1,n); cod=ivector(1,n); - weight=vector(1,n); - for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */ + for(i=1;i<=n;i++){ + num[i]=0; + moisnais[i]=0; + annais[i]=0; + moisdc[i]=0; + andc[i]=0; + agedc[i]=0; + cod[i]=0; + 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[i][j] health state for wave i and individual j */ @@ -6914,44 +8823,68 @@ Please run with mle=-1 to get a correct free_vector(annais,1,n); /* free_matrix(mint,1,maxwav,1,n); free_matrix(anint,1,maxwav,1,n);*/ - free_vector(moisdc,1,n); - free_vector(andc,1,n); + /* free_vector(moisdc,1,n); */ + /* free_vector(andc,1,n); */ /* */ wav=ivector(1,imx); - dh=imatrix(1,lastpass-firstpass+1,1,imx); - bh=imatrix(1,lastpass-firstpass+1,1,imx); - mw=imatrix(1,lastpass-firstpass+1,1,imx); + /* dh=imatrix(1,lastpass-firstpass+1,1,imx); */ + /* bh=imatrix(1,lastpass-firstpass+1,1,imx); */ + /* mw=imatrix(1,lastpass-firstpass+1,1,imx); */ + dh=imatrix(1,lastpass-firstpass+2,1,imx); /* We are adding a wave if status is unknown at last wave but death occurs after last wave.*/ + bh=imatrix(1,lastpass-firstpass+2,1,imx); + mw=imatrix(1,lastpass-firstpass+2,1,imx); /* Concatenates waves */ + /* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i. + Death is a valid wave (if date is known). + mw[mi][i] is the number of (mi=1 to wav[i]) effective wave out of mi of individual i + dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i] + and mw[mi+1][i]. dh depends on stepm. + */ + concatwav(wav, dh, bh, mw, s, agedc, agev, firstpass, lastpass, imx, nlstate, stepm); /* */ - /* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */ + free_vector(moisdc,1,n); + free_vector(andc,1,n); + /* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */ nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); ncodemax[1]=1; Ndum =ivector(-1,NCOVMAX); - if (ncovmodel-nagesqr > 2 ) /* That is if covariate other than cst, age and age*age */ - tricode(Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */ - /* Nbcode gives the value of the lth modality of jth covariate, in + cptcoveff=0; + if (ncovmodel-nagesqr > 2 ){ /* That is if covariate other than cst, age and age*age */ + tricode(&cptcoveff,Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */ + } + + ncovcombmax=pow(2,cptcoveff); + invalidvarcomb=ivector(1, ncovcombmax); + for(i=1;i 0) */ - - m=pow(2,cptcoveff); /**< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) + 1 - * For k=4 covariates, h goes from 1 to 2**k - * codtabm(h,k)= 1 & (h-1) >> (k-1) ; + * For k=4 covariates, h goes from 1 to m=2**k + * codtabm(h,k)= (1 & (h-1) >> (k-1)) + 1; + * #define codtabm(h,k) (1 & (h-1) >> (k-1))+1 * h\k 1 2 3 4 *______________________________ * 1 i=1 1 i=1 1 i=1 1 i=1 1 @@ -6971,38 +8904,50 @@ Please run with mle=-1 to get a correct * 15 i=8 1 2 2 2 * 16 2 2 2 2 */ - for(h=1; h <=100 ;h++){ - /* printf("h=%2d ", h); */ - /* for(k=1; k <=10; k++){ */ - /* printf("k=%d %d ",k,codtabm(h,k)); */ - /* codtab[h][k]=codtabm(h,k); */ - /* } */ - /* printf("\n"); */ - } - /* 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[12][3]=1; *\/ */ - /* /\*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]]); *\/ */ - /* } */ - /* } */ - /* } */ - /* } */ - /* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]); - codtab[1][2]=1;codtab[2][2]=2; */ - /* for(i=1; i <=m ;i++){ */ - /* for(k=1; k <=cptcovn; k++){ */ - /* printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff); */ - /* } */ - /* printf("\n"); */ - /* } */ - /* scanf("%d",i);*/ + /* How to do the opposite? From combination h (=1 to 2**k) how to get the value on the covariates? */ + /* from h=5 and m, we get then number of covariates k=log(m)/log(2)=4 + * and the value of each covariate? + * V1=1, V2=1, V3=2, V4=1 ? + * h-1=4 and 4 is 0100 or reverse 0010, and +1 is 1121 ok. + * h=6, 6-1=5, 5 is 0101, 1010, 2121, V1=2nd, V2=1st, V3=2nd, V4=1st. + * In order to get the real value in the data, we use nbcode + * nbcode[Tvar[3][2nd]]=1 and nbcode[Tvar[4][1]]=0 + * We are keeping this crazy system in order to be able (in the future?) + * to have more than 2 values (0 or 1) for a covariate. + * #define codtabm(h,k) (1 & (h-1) >> (k-1))+1 + * h=6, k=2? h-1=5=0101, reverse 1010, +1=2121, k=2nd position: value is 1: codtabm(6,2)=1 + * bbbbbbbb + * 76543210 + * h-1 00000101 (6-1=5) + *(h-1)>>(k-1)= 00000010 >> (2-1) = 1 right shift + * & + * 1 00000001 (1) + * 00000000 = 1 & ((h-1) >> (k-1)) + * +1= 00000001 =1 + * + * h=14, k=3 => h'=h-1=13, k'=k-1=2 + * h' 1101 =2^3+2^2+0x2^1+2^0 + * >>k' 11 + * & 00000001 + * = 00000001 + * +1 = 00000010=2 = codtabm(14,3) + * Reverse h=6 and m=16? + * cptcoveff=log(16)/log(2)=4 covariate: 6-1=5=0101 reversed=1010 +1=2121 =>V1=2, V2=1, V3=2, V4=1. + * for (j=1 to cptcoveff) Vj=decodtabm(j,h,cptcoveff) + * decodtabm(h,j,cptcoveff)= (((h-1) >> (j-1)) & 1) +1 + * decodtabm(h,j,cptcoveff)= (h <= (1<> (j-1)) & 1) +1 : -1) + * V3=decodtabm(14,3,2**4)=2 + * h'=13 1101 =2^3+2^2+0x2^1+2^0 + *(h-1) >> (j-1) 0011 =13 >> 2 + * &1 000000001 + * = 000000001 + * +1= 000000010 =2 + * 2211 + * V1=1+1, V2=0+1, V3=1+1, V4=1+1 + * V3=2 + * codtabm and decodtabm are identical + */ + free_ivector(Ndum,-1,NCOVMAX); @@ -7011,14 +8956,14 @@ Please run with mle=-1 to get a correct /* Initialisation of ----------- gnuplot -------------*/ strcpy(optionfilegnuplot,optionfilefiname); if(mle==-3) - strcat(optionfilegnuplot,"-mort"); + 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,"\n# IMaCh-%s\n", version); fprintf(ficgp,"# %s\n", optionfilegnuplot); //fprintf(ficgp,"set missing 'NaNq'\n"); fprintf(ficgp,"set datafile missing 'NaNq'\n"); @@ -7030,7 +8975,7 @@ Please run with mle=-1 to get a correct strcpy(optionfilehtm,optionfilefiname); /* Main html file */ if(mle==-3) - strcat(optionfilehtm,"-mort"); + strcat(optionfilehtm,"-MORT_"); strcat(optionfilehtm,".htm"); if((fichtm=fopen(optionfilehtm,"w"))==NULL) { printf("Problem with %s \n",optionfilehtm); @@ -7045,13 +8990,15 @@ Please run with mle=-1 to get a correct else{ fprintf(fichtmcov,"\nIMaCh Cov %s\n %s
            %s             \
            \n\ -Title=%s
            Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s
            \n",\ +Title=%s
            Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s
            \n",\ optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); } - fprintf(fichtm,"\nIMaCh %s\n %s
            %s             \ + fprintf(fichtm,"\n\n\nIMaCh %s\n IMaCh for Interpolated Markov Chain
            \nSponsored by Copyright (C) 2002-2015 INED-EUROREVES-Institut de longévité-2013-2016-Japan Society for the Promotion of Sciences 日本学術振興会 (Grant-in-Aid for Scientific Research 25293121) - Intel Software 2015-2018
            \ +
            \n\ +IMaCh-%s
            %s             \
            \n\ -Title=%s
            Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s
            \n\ +Title=%s
            Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s
            \n\ \n\
            \

            • Parameter files

              \n\ @@ -7075,9 +9022,11 @@ Title=%s
              Datafile=%s Firstpass=%d La #endif - /* Calculates basic frequencies. Computes observed prevalence at single age + /* Calculates basic frequencies. Computes observed prevalence at single age + and for any valid combination of covariates and prints on file fileres'p'. */ - freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart); + freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx, Tvaraff, invalidvarcomb, nbcode, ncodemax,mint,anint,strstart, \ + firstpass, lastpass, stepm, weightopt, model); fprintf(fichtm,"\n"); fprintf(fichtm,"
              Total number of observations=%d
              \n\ @@ -7085,12 +9034,11 @@ Youngest age at first (selected) pass %. Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf
              \n",\ imx,agemin,agemax,jmin,jmax,jmean); pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ - oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ - newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ - savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ - oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */ - - + oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ + newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ + savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ + oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */ + /* For Powell, parameters are in a vector p[] starting at p[1] so we point p on param[1][1] so that p[1] maps on param[1][1][1] */ p=param[1][1]; /* *(*(*(param +1)+1)+0) */ @@ -7099,6 +9047,9 @@ Interval (in months) between two waves: /* For mortality only */ if (mle==-3){ ximort=matrix(1,NDIM,1,NDIM); + for(i=1;i<=NDIM;i++) + for(j=1;j<=NDIM;j++) + ximort[i][j]=0.; /* ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */ cens=ivector(1,n); ageexmed=vector(1,n); @@ -7108,33 +9059,33 @@ Interval (in months) between two waves: 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; - } + 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 ; + 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); + ximort[i][j]=(i == j ? 1.0 : 0.0); } /*p[1]=0.0268; p[NDIM]=0.083;*/ @@ -7146,8 +9097,8 @@ Interval (in months) between two waves: #else printf("Powell\n"); fprintf(ficlog,"Powell\n"); #endif - strcpy(filerespow,"pow-mort"); - strcat(filerespow,fileres); + strcpy(filerespow,"POW-MORT_"); + strcat(filerespow,fileresu); if((ficrespow=fopen(filerespow,"w"))==NULL) { printf("Problem with resultfile: %s\n", filerespow); fprintf(ficlog,"Problem with resultfile: %s\n", filerespow); @@ -7243,18 +9194,20 @@ Interval (in months) between two waves: #endif fclose(ficrespow); - hesscov(matcov, p, NDIM, delti, 1e-4, gompertz); + hesscov(matcov, hess, 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]; + matcov[i][j]=matcov[j][i]; printf("\nCovariance matrix\n "); + fprintf(ficlog,"\nCovariance matrix\n "); for(i=1; i <=NDIM; i++) { for(j=1;j<=NDIM;j++){ - printf("%f ",matcov[i][j]); + printf("%f ",matcov[i][j]); + fprintf(ficlog,"%f ",matcov[i][j]); } - printf("\n "); + printf("\n "); fprintf(ficlog,"\n "); } printf("iter=%d MLE=%f Eq=%lf*exp(%lf*(age-%d))\n",iter,-gompertz(p),p[1],p[2],agegomp); @@ -7293,6 +9246,8 @@ Interval (in months) between two waves: replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */ + ageminpar=50; + agemaxpar=100; if(ageminpar == AGEOVERFLOW ||agemaxpar == AGEOVERFLOW){ printf("Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ @@ -7300,40 +9255,49 @@ Please run with mle=-1 to get a correct fprintf(ficlog,"Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar); - }else - printinggnuplotmort(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p); - printinghtmlmort(fileres,title,datafile, firstpass, lastpass, \ + }else{ + printf("Warning! ageminpar %f and agemaxpar %f have been fixed because for simplification until it is fixed...\n\n",ageminpar,agemaxpar); + fprintf(ficlog,"Warning! ageminpar %f and agemaxpar %f have been fixed because for simplification until it is fixed...\n\n",ageminpar,agemaxpar); + printinggnuplotmort(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p); + } + printinghtmlmort(fileresu,title,datafile, firstpass, lastpass, \ stepm, weightopt,\ model,imx,p,matcov,agemortsup); free_vector(lsurv,1,AGESUP); free_vector(lpop,1,AGESUP); free_vector(tpop,1,AGESUP); -#ifdef GSL + free_matrix(ximort,1,NDIM,1,NDIM); free_ivector(cens,1,n); free_vector(agecens,1,n); free_ivector(dcwave,1,n); - free_matrix(ximort,1,NDIM,1,NDIM); +#ifdef GSL #endif } /* Endof if mle==-3 mortality only */ - /* Standard maximisation */ - else{ /* For mle >=1 */ - globpr=0;/* debug */ - /* Computes likelihood for initial parameters */ + /* Standard */ + else{ /* For mle !=- 3, could be 0 or 1 or 4 etc. */ + globpr=0;/* Computes sum of likelihood for globpr=1 and funcone */ + /* Computes likelihood for initial parameters, uses funcone to compute gpimx and gsw */ 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; /* again, to print the contributions */ + if(mle>=1){ /* Could be 1 or 2, Real Maximization */ + /* mlikeli uses func not funcone */ + mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func); + } + if(mle==0) {/* No optimization, will print the likelihoods for the datafile */ + globpr=0;/* Computes sum of likelihood for globpr=1 and funcone */ + /* Computes likelihood for initial parameters, uses funcone to compute gpimx and gsw */ + likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */ + } + globpr=1; /* again, to print the individual contributions using computed gpimx and gsw */ likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */ 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, Real Maximisation */ - 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=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model); @@ -7344,69 +9308,70 @@ Please run with mle=-1 to get a correct 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("%12.7f ",p[jk]); - fprintf(ficlog,"%12.7f ",p[jk]); - fprintf(ficres,"%12.7f ",p[jk]); - jk++; - } - printf("\n"); - fprintf(ficlog,"\n"); - fprintf(ficres,"\n"); - } + 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("%12.7f ",p[jk]); + fprintf(ficlog,"%12.7f ",p[jk]); + fprintf(ficres,"%12.7f ",p[jk]); + jk++; + } + printf("\n"); + fprintf(ficlog,"\n"); + fprintf(ficres,"\n"); + } } } - if(mle!=0){ - /* Computing hessian and covariance matrix */ + if(mle != 0){ + /* Computing hessian and covariance matrix only at a peak of the Likelihood, that is after optimization */ ftolhess=ftol; /* Usually correct */ - hesscov(matcov, p, npar, delti, ftolhess, func); - } - printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); - fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); - 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); - for(j=1; j <=ncovmodel; j++){ - printf("%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); - fprintf(ficlog,"%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); - jk++; - } - printf("\n"); - fprintf(ficlog,"\n"); - } - } - } - + hesscov(matcov, hess, p, npar, delti, ftolhess, func); + printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); + fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); + 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); + for(j=1; j <=ncovmodel; j++){ + printf("%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); + fprintf(ficlog,"%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); + jk++; + } + printf("\n"); + fprintf(ficlog,"\n"); + } + } + } + } /* end of hesscov and Wald tests */ + + /* */ 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"); - } + if (j!=i) { + fprintf(ficres,"%1d%1d",i,j); + printf("%1d%1d",i,j); + fprintf(ficlog,"%1d%1d",i,j); + for(k=1; k<=ncovmodel;k++){ + printf(" %.5e",delti[jk]); + fprintf(ficlog," %.5e",delti[jk]); + fprintf(ficres," %.5e",delti[jk]); + jk++; + } + printf("\n"); + fprintf(ficlog,"\n"); + fprintf(ficres,"\n"); + } } } fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n"); - if(mle>=1) + if(mle >= 1) /* To big for the screen */ printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n"); 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\ */ @@ -7425,82 +9390,105 @@ Please run with mle=-1 to get a correct 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 */ + 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(" %.7e",matcov[jj][ll]); + fprintf(ficlog," %.7e",matcov[jj][ll]); + fprintf(ficres," %.7e",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); - } - ungetc(c,ficpar); + while(fgets(line, MAXLINE, ficpar)) { + /* If line starts with a # it is a comment */ + if (line[0] == '#') { + numlinepar++; + fputs(line,stdout); + fputs(line,ficparo); + fputs(line,ficlog); + continue; + }else + break; + } + + /* while((c=getc(ficpar))=='#' && c!= EOF){ */ + /* ungetc(c,ficpar); */ + /* fgets(line, MAXLINE, ficpar); */ + /* fputs(line,stdout); */ + /* 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((num_filled=sscanf(line,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm, &ftolpl)) !=EOF){ + + if (num_filled != 6) { + printf("Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); + fprintf(ficlog,"Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); + goto end; + } + printf("agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",ageminpar,agemaxpar, bage, fage, estepm, ftolpl); + } + /* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */ + /*ftolpl=6.e-4;*/ /* 6.e-3 make convergences in less than 80 loops for the prevalence limit */ + + /* fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm); */ if (estepm==0 || estepm < stepm) estepm=stepm; if (fage <= 2) { bage = ageminpar; @@ -7508,9 +9496,9 @@ Please run with mle=-1 to get a correct } 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); - + fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d ftolpl=%e\n",ageminpar,agemaxpar,bage,fage, estepm, ftolpl); + fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d, ftolpl=%e\n",ageminpar,agemaxpar,bage,fage, estepm, ftolpl); + /* Other stuffs, more or less useful */ while((c=getc(ficpar))=='#' && c!= EOF){ ungetc(c,ficpar); @@ -7558,259 +9546,308 @@ Please run with mle=-1 to get a correct fprintf(ficres,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); /* day and month of proj2 are not used but only year anproj2.*/ + while((c=getc(ficpar))=='#' && c!= EOF){ + ungetc(c,ficpar); + fgets(line, MAXLINE, ficpar); + fputs(line,stdout); + fputs(line,ficparo); + } + ungetc(c,ficpar); + + fscanf(ficpar,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj); + fprintf(ficparo,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); + fprintf(ficlog,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); + fprintf(ficres,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,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); */ + /* 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 / */ if(ageminpar == AGEOVERFLOW ||agemaxpar == -AGEOVERFLOW){ - printf("Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ + printf("Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar); - fprintf(ficlog,"Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ + fprintf(ficlog,"Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar); - }else - 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); + }else{ + printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p); + } + printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \ + model,imx,jmin,jmax,jmean,rfileres,popforecast,prevfcast,backcast, estepm, \ + jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2); + + /*------------ free_vector -------------*/ + /* chdir(path); */ + + /* free_ivector(wav,1,imx); */ /* Moved after last prevalence call */ + /* free_imatrix(dh,1,lastpass-firstpass+2,1,imx); */ + /* free_imatrix(bh,1,lastpass-firstpass+2,1,imx); */ + /* free_imatrix(mw,1,lastpass-firstpass+2,1,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); - - + + /* Other results (useful)*/ - - + + /*--------------- Prevalence limit (period or stable prevalence) --------------*/ /*#include "prevlim.h"*/ /* Use ficrespl, ficlog */ prlim=matrix(1,nlstate,1,nlstate); - prevalence_limit(p, prlim, ageminpar, agemaxpar); + prevalence_limit(p, prlim, ageminpar, agemaxpar, ftolpl, &ncvyear); fclose(ficrespl); -#ifdef FREEEXIT2 -#include "freeexit2.h" -#endif - /*------------- h Pij x at various ages ------------*/ /*#include "hpijx.h"*/ hPijx(p, bage, fage); fclose(ficrespij); - /*-------------- Variance of one-step probabilities---*/ + /* ncovcombmax= pow(2,cptcoveff); */ + /*-------------- Variance of one-step probabilities---*/ k=1; varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart); - - probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX); + /* Prevalence for each covariates in probs[age][status][cov] */ + probs= ma3x(1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax); for(i=1;i<=AGESUP;i++) - for(j=1;j<=NCOVMAX;j++) - for(k=1;k<=NCOVMAX;k++) - probs[i][j][k]=0.; - + for(j=1;j<=nlstate+ndeath;j++) /* ndeath is useless but a necessity to be compared with mobaverages */ + for(k=1;k<=ncovcombmax;k++) + probs[i][j][k]=0.; + prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); + if (mobilav!=0 ||mobilavproj !=0 ) { + mobaverages= ma3x(1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); + for(i=1;i<=AGESUP;i++) + for(j=1;j<=nlstate;j++) + for(k=1;k<=ncovcombmax;k++) + mobaverages[i][j][k]=0.; + mobaverage=mobaverages; + if (mobilav!=0) { + if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilav)!=0){ + fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); + printf(" Error in movingaverage mobilav=%d\n",mobilav); + } + } + /* /\* Prevalence for each covariates in probs[age][status][cov] *\/ */ + /* prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */ + else if (mobilavproj !=0) { + if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilavproj)!=0){ + fprintf(ficlog," Error in movingaverage mobilavproj=%d\n",mobilavproj); + printf(" Error in movingaverage mobilavproj=%d\n",mobilavproj); + } + } + }/* end if moving average */ + /*---------- 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); */ - /* } */ + prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff); + } + if(backcast==1){ + ddnewms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); + ddoldms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); + ddsavms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); + + /*--------------- Back Prevalence limit (period or stable prevalence) --------------*/ + + bprlim=matrix(1,nlstate,1,nlstate); + back_prevalence_limit(p, bprlim, ageminpar, agemaxpar, ftolpl, &ncvyear, dateprev1, dateprev2, firstpass, lastpass, mobilavproj); + fclose(ficresplb); + + hBijx(p, bage, fage, mobaverage); + fclose(ficrespijb); + free_matrix(bprlim,1,nlstate,1,nlstate); /*here or after loop ? */ + + /* prevbackforecast(fileresu, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, mobilavproj, + bage, fage, firstpass, lastpass, anback2, p, cptcoveff); */ + free_matrix(ddnewms, 1, nlstate+ndeath, 1, nlstate+ndeath); + free_matrix(ddsavms, 1, nlstate+ndeath, 1, nlstate+ndeath); + free_matrix(ddoldms, 1, nlstate+ndeath, 1, nlstate+ndeath); } + /* ------ Other prevalence ratios------------ */ - /* 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); - */ - - 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); - } - } - - + free_ivector(wav,1,imx); + free_imatrix(dh,1,lastpass-firstpass+2,1,imx); + free_imatrix(bh,1,lastpass-firstpass+2,1,imx); + free_imatrix(mw,1,lastpass-firstpass+2,1,imx); + + /*---------- Health expectancies, no variances ------------*/ - - strcpy(filerese,"e"); - strcat(filerese,fileres); + + strcpy(filerese,"E_"); + strcat(filerese,fileresu); 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++){*/ - + printf("Computing Health Expectancies: result on file '%s' ...", filerese);fflush(stdout); + fprintf(ficlog,"Computing Health Expectancies: result on file '%s' ...", filerese);fflush(ficlog); + for (k=1; k <= (int) pow(2,cptcoveff); k++){ - fprintf(ficreseij,"\n#****** "); - for(j=1;j<=cptcoveff;j++) { - fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - } - 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); + fprintf(ficreseij,"\n#****** "); + for(j=1;j<=cptcoveff;j++) { + fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + fprintf(ficreseij,"******\n"); - free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); - /*}*/ + 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); - - + printf("done evsij\n");fflush(stdout); + fprintf(ficlog,"done evsij\n");fflush(ficlog); + /*---------- Health expectancies and variances ------------*/ - - - strcpy(filerest,"t"); - strcat(filerest,fileres); + + + strcpy(filerest,"T_"); + strcat(filerest,fileresu); 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); + printf("Computing Total Life expectancies with their standard errors: file '%s' ...\n", filerest); fflush(stdout); + fprintf(ficlog,"Computing Total Life expectancies with their standard errors: file '%s' ...\n", filerest); fflush(ficlog); + - - strcpy(fileresstde,"stde"); - strcat(fileresstde,fileres); + strcpy(fileresstde,"STDE_"); + strcat(fileresstde,fileresu); 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); + 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); + strcpy(filerescve,"CVE_"); + strcat(filerescve,fileresu); 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); + 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(fileresv,"v"); - strcat(fileresv,fileres); + strcpy(fileresv,"V_"); + strcat(fileresv,fileresu); 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); + printf(" Computing Variance-covariance of DFLEs: file '%s' ... ", fileresv);fflush(stdout); + fprintf(ficlog," Computing Variance-covariance of DFLEs: file '%s' ... ", fileresv);fflush(ficlog); /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){ for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ for (k=1; k <= (int) pow(2,cptcoveff); k++){ - fprintf(ficrest,"\n#****** "); - for(j=1;j<=cptcoveff;j++) - fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - fprintf(ficrest,"******\n"); - - fprintf(ficresstdeij,"\n#****** "); - fprintf(ficrescveij,"\n#****** "); - for(j=1;j<=cptcoveff;j++) { - fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - } - fprintf(ficresstdeij,"******\n"); - fprintf(ficrescveij,"******\n"); - - fprintf(ficresvij,"\n#****** "); - for(j=1;j<=cptcoveff;j++) - fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - fprintf(ficresvij,"******\n"); - - 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); - /* - */ - /* goto endfree; */ - - 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; /* ZZ Segmentation fault */ - cptcod= 0; /* To be deleted */ - varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); /* cptcod not initialized Intel */ - 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"); - /* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */ - epj=vector(1,nlstate+1); - for(age=bage; age <=fage ;age++){ - prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k); /*ZZ Is it the correct prevalim */ - 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); - /* printf(" age %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]; - /*ZZZ printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]);*/ - /* printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]); */ - } - epj[nlstate+1] +=epj[j]; - } - /* printf(" age %4.0f \n",age); */ - - 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); + fprintf(ficrest,"\n#****** "); + for(j=1;j<=cptcoveff;j++) + fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficrest,"******\n"); + + fprintf(ficresstdeij,"\n#****** "); + fprintf(ficrescveij,"\n#****** "); + for(j=1;j<=cptcoveff;j++) { + fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + fprintf(ficresstdeij,"******\n"); + fprintf(ficrescveij,"******\n"); + + fprintf(ficresvij,"\n#****** "); + for(j=1;j<=cptcoveff;j++) + fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficresvij,"******\n"); + + eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); + oldm=oldms;savm=savms; + printf(" cvevsij %d, ",k); + fprintf(ficlog, " cvevsij %d, ",k); + cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart); + printf(" end cvevsij \n "); + fprintf(ficlog, " end cvevsij \n "); + + /* + */ + /* goto endfree; */ + + 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; /* ZZ Segmentation fault */ + cptcod= 0; /* To be deleted */ + printf("varevsij %d \n",vpopbased); + fprintf(ficlog, "varevsij %d \n",vpopbased); + varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, &ncvyear, k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); /* cptcod not initialized Intel */ + 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 popbased mobilav e.. (std) "); + for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i); + fprintf(ficrest,"\n"); + /* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */ + epj=vector(1,nlstate+1); + printf("Computing age specific period (stable) prevalences in each health state \n"); + fprintf(ficlog,"Computing age specific period (stable) prevalences in each health state \n"); + for(age=bage; age <=fage ;age++){ + prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, &ncvyear, k); /*ZZ Is it the correct prevalim */ + 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 %d %d",age, vpopbased, mobilav); + /* fprintf(ficrest," %4.0f %d %d %d %d",age, vpopbased, mobilav,Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ /* to be done */ + /* printf(" age %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]; + /*ZZZ printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]);*/ + /* printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]); */ + } + epj[nlstate+1] +=epj[j]; + } + /* printf(" age %4.0f \n",age); */ + + 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"); + } + } /* End vpopbased */ + 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); + printf("done \n");fflush(stdout); + fprintf(ficlog,"done\n");fflush(ficlog); + /*}*/ - } + } /* End k */ free_vector(weight,1,n); free_imatrix(Tvard,1,NCOVMAX,1,2); free_imatrix(s,1,maxwav+1,1,n); @@ -7822,48 +9859,55 @@ Please run with mle=-1 to get a correct fclose(ficrescveij); fclose(ficresvij); fclose(ficrest); + printf("done Health expectancies\n");fflush(stdout); + fprintf(ficlog,"done Health expectancies\n");fflush(ficlog); fclose(ficpar); /*------- Variance of period (stable) prevalence------*/ - strcpy(fileresvpl,"vpl"); - strcat(fileresvpl,fileres); + strcpy(fileresvpl,"VPL_"); + strcat(fileresvpl,fileresu); 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); + printf("Computing Variance-covariance of period (stable) prevalence: file '%s' ...", fileresvpl);fflush(stdout); + fprintf(ficlog, "Computing Variance-covariance of period (stable) prevalence: file '%s' ...", fileresvpl);fflush(ficlog); /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){ for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ for (k=1; k <= (int) pow(2,cptcoveff); k++){ fprintf(ficresvpl,"\n#****** "); - for(j=1;j<=cptcoveff;j++) - fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - fprintf(ficresvpl,"******\n"); + for(j=1;j<=cptcoveff;j++) + fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(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,strstart); - 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, &ncvyear, k, strstart); + free_matrix(varpl,1,nlstate,(int) bage, (int)fage); /*}*/ } - + fclose(ficresvpl); + printf("done variance-covariance of period prevalence\n");fflush(stdout); + fprintf(ficlog,"done variance-covariance of period prevalence\n");fflush(ficlog); /*---------- 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:*/ + if (mobilav!=0 ||mobilavproj !=0) + free_ma3x(mobaverages,1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); /* We need to have a squared matrix with prevalence of the dead! */ + free_ma3x(probs,1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax); free_matrix(prlim,1,nlstate,1,nlstate); /*here or after loop ? */ free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath); + } /* mle==-3 arrives here for freeing */ + /* endfree:*/ 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_matrix(hess,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); @@ -7874,6 +9918,7 @@ Please run with mle=-1 to get a correct free_ivector(Tvar,1,NCOVMAX); free_ivector(Tprod,1,NCOVMAX); free_ivector(Tvaraff,1,NCOVMAX); + free_ivector(invalidvarcomb,1,ncovcombmax); free_ivector(Tage,1,NCOVMAX); free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX); @@ -7883,8 +9928,8 @@ Please run with mle=-1 to get a correct if((nberr >0) || (nbwarn>0)){ - 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); + printf("End of Imach with %d errors and/or %d warnings. Please look at the log file for details.\n",nberr,nbwarn); + fprintf(ficlog,"End of Imach with %d errors and/or warnings %d. Please look at the log file for details.\n",nberr,nbwarn); }else{ printf("End of Imach\n"); fprintf(ficlog,"End of Imach\n");