--- imach/src/imach.c 2015/01/03 16:45:04 1.176 +++ imach/src/imach.c 2015/09/30 17:45:14 1.203 @@ -1,6 +1,115 @@ -/* $Id: imach.c,v 1.176 2015/01/03 16:45:04 brouard Exp $ +/* $Id: imach.c,v 1.203 2015/09/30 17:45:14 brouard Exp $ $State: Exp $ $Log: imach.c,v $ + 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 + + Even model=1+age+V2. did not work anymore + + Revision 1.199 2015/09/07 14:09:23 brouard + Summary: 0.98q6 changing default small png format for graph to vectorized svg. + + Revision 1.198 2015/09/03 07:14:39 brouard + Summary: 0.98q5 Flavia + + Revision 1.197 2015/09/01 18:24:39 brouard + *** empty log message *** + + Revision 1.196 2015/08/18 23:17:52 brouard + Summary: 0.98q5 + + Revision 1.195 2015/08/18 16:28:39 brouard + Summary: Adding a hack for testing purpose + + After reading the title, ftol and model lines, if the comment line has + a q, starting with #q, the answer at the end of the run is quit. It + permits to run test files in batch with ctest. The former workaround was + $ echo q | imach foo.imach + + Revision 1.194 2015/08/18 13:32:00 brouard + Summary: Adding error when the covariance matrix doesn't contain the exact number of lines required by the model line. + + Revision 1.193 2015/08/04 07:17:42 brouard + Summary: 0.98q4 + + Revision 1.192 2015/07/16 16:49:02 brouard + Summary: Fixing some outputs + + Revision 1.191 2015/07/14 10:00:33 brouard + Summary: Some fixes + + Revision 1.190 2015/05/05 08:51:13 brouard + Summary: Adding digits in output parameters (7 digits instead of 6) + + Fix 1+age+. + + Revision 1.189 2015/04/30 14:45:16 brouard + Summary: 0.98q2 + + Revision 1.188 2015/04/30 08:27:53 brouard + *** empty log message *** + + Revision 1.187 2015/04/29 09:11:15 brouard + *** empty log message *** + + Revision 1.186 2015/04/23 12:01:52 brouard + Summary: V1*age is working now, version 0.98q1 + + Some codes had been disabled in order to simplify and Vn*age was + working in the optimization phase, ie, giving correct MLE parameters, + but, as usual, outputs were not correct and program core dumped. + + Revision 1.185 2015/03/11 13:26:42 brouard + Summary: Inclusion of compile and links command line for Intel Compiler + + Revision 1.184 2015/03/11 11:52:39 brouard + Summary: Back from Windows 8. Intel Compiler + + Revision 1.183 2015/03/10 20:34:32 brouard + Summary: 0.98q0, trying with directest, mnbrak fixed + + We use directest instead of original Powell test; probably no + incidence on the results, but better justifications; + We fixed Numerical Recipes mnbrak routine which was wrong and gave + wrong results. + + Revision 1.182 2015/02/12 08:19:57 brouard + Summary: Trying to keep directest which seems simpler and more general + Author: Nicolas Brouard + + Revision 1.181 2015/02/11 23:22:24 brouard + Summary: Comments on Powell added + + Author: + + Revision 1.180 2015/02/11 17:33:45 brouard + Summary: Finishing move from main to function (hpijx and prevalence_limit) + + Revision 1.179 2015/01/04 09:57:06 brouard + Summary: back to OS/X + + Revision 1.178 2015/01/04 09:35:48 brouard + *** empty log message *** + + Revision 1.177 2015/01/03 18:40:56 brouard + Summary: Still testing ilc32 on OSX + Revision 1.176 2015/01/03 16:45:04 brouard *** empty log message *** @@ -543,7 +652,16 @@ end */ +/* #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 *\/ */ +/* #define MNBRAKORIGINAL /\* Don't use mnbrak fix *\/ */ #include #include @@ -610,11 +728,12 @@ typedef struct { #define NLSTATEMAX 8 /**< Maximum number of live states (for func) */ #define NDEATHMAX 8 /**< Maximum number of dead states (for func) */ #define NCOVMAX 20 /**< Maximum number of covariates, including generated covariates V1*V2 */ -#define codtabm(h,k) 1 & (h-1) >> (k-1) ; +#define codtabm(h,k) (1 & (h-1) >> (k-1))+1 #define MAXN 20000 #define YEARM 12. /**< Number of months per year */ #define AGESUP 130 #define AGEBASE 40 +#define AGEOVERFLOW 1.e20 #define AGEGOMP 10 /**< Minimal age for Gompertz adjustment */ #ifdef _WIN32 #define DIRSEPARATOR '\\' @@ -626,15 +745,16 @@ typedef struct { #define ODIRSEPARATOR '\\' #endif -/* $Id: imach.c,v 1.176 2015/01/03 16:45:04 brouard Exp $ */ +/* $Id: imach.c,v 1.203 2015/09/30 17:45:14 brouard Exp $ */ /* $State: Exp $ */ - -char version[]="Imach version 0.98p, December 2014,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: 1.176 $ $Date: 2015/01/03 16:45:04 $"; +#include "version.h" +char version[]=__IMACH_VERSION__; +char copyright[]="September 2015,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015"; +char fullversion[]="$Revision: 1.203 $ $Date: 2015/09/30 17:45:14 $"; char strstart[80]; char optionfilext[10], optionfilefiname[FILENAMELENGTH]; int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */ -int nvar=0, nforce=0; /* Number of variables, number of forces */ +int nagesqr=0, nforce=0; /* nagesqr=1 if model is including age*age, number of forces */ /* Number of covariates model=V2+V1+ V3*age+V2*V4 */ int cptcovn=0; /**< cptcovn number of covariates added in the model (excepting constant and age and age*product) */ int cptcovt=0; /**< cptcovt number of covariates added in the model (excepting constant and age) */ @@ -696,7 +816,7 @@ char command[FILENAMELENGTH]; int outcmd=0; char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH]; - +char fileresu[FILENAMELENGTH]; /* fileres without r in front */ char filelog[FILENAMELENGTH]; /* Log file */ char filerest[FILENAMELENGTH]; char fileregp[FILENAMELENGTH]; @@ -745,7 +865,7 @@ static double maxarg1,maxarg2; #define SIGN(a,b) ((b)>0.0 ? fabs(a) : -fabs(a)) #define rint(a) floor(a+0.5) /* http://www.thphys.uni-heidelberg.de/~robbers/cmbeasy/doc/html/myutils_8h-source.html */ -/* #define mytinydouble 1.0e-16 */ +#define mytinydouble 1.0e-16 /* #define DEQUAL(a,b) (fabs((a)-(b)) Tvar[1]= 2 */ +int *Tage; int *Ndum; /** Freq of modality (tricode */ -int **codtab; /**< codtab=imatrix(1,100,1,10); */ +/* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */ int **Tvard, *Tprod, cptcovprod, *Tvaraff; double *lsurv, *lpop, *tpop; @@ -793,7 +920,7 @@ static int split( char *path, char *dirc the name of the file (name), its extension only (ext) and its first part of the name (finame) */ char *ss; /* pointer */ - int l1, l2; /* length counters */ + int l1=0, l2=0; /* length counters */ l1 = strlen(path ); /* length of path */ if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH ); @@ -804,7 +931,11 @@ static int split( char *path, char *dirc printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/ /* get current working directory */ /* extern char* getcwd ( char *buf , int len);*/ - if ( getcwd( dirc, FILENAME_MAX ) == NULL ) { +#ifdef WIN32 + if (_getcwd( dirc, FILENAME_MAX ) == NULL ) { +#else + if (getcwd(dirc, FILENAME_MAX) == NULL) { +#endif return( GLOCK_ERROR_GETCWD ); } /* got dirc from getcwd*/ @@ -815,7 +946,7 @@ static int split( char *path, char *dirc if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH ); strcpy( name, ss ); /* save file name */ strncpy( dirc, path, l1 - l2 ); /* now the directory */ - dirc[l1-l2] = 0; /* add zero */ + dirc[l1-l2] = '\0'; /* add zero */ printf(" DIRC2 = %s \n",dirc); } /* We add a separator at the end of dirc if not exists */ @@ -867,11 +998,54 @@ char *trimbb(char *out, char *in) return s; } +/* char *substrchaine(char *out, char *in, char *chain) */ +/* { */ +/* /\* Substract chain 'chain' from 'in', return and output 'out' *\/ */ +/* char *s, *t; */ +/* t=in;s=out; */ +/* while ((*in != *chain) && (*in != '\0')){ */ +/* *out++ = *in++; */ +/* } */ + +/* /\* *in matches *chain *\/ */ +/* while ((*in++ == *chain++) && (*in != '\0')){ */ +/* printf("*in = %c, *out= %c *chain= %c \n", *in, *out, *chain); */ +/* } */ +/* in--; chain--; */ +/* while ( (*in != '\0')){ */ +/* printf("Bef *in = %c, *out= %c *chain= %c \n", *in, *out, *chain); */ +/* *out++ = *in++; */ +/* printf("Aft *in = %c, *out= %c *chain= %c \n", *in, *out, *chain); */ +/* } */ +/* *out='\0'; */ +/* out=s; */ +/* return out; */ +/* } */ +char *substrchaine(char *out, char *in, char *chain) +{ + /* Substract chain 'chain' from 'in', return and output 'out' */ + /* in="V1+V1*age+age*age+V2", chain="age*age" */ + + char *strloc; + + strcpy (out, in); + strloc = strstr(out, chain); /* strloc points to out at age*age+V2 */ + printf("Bef strloc=%s chain=%s out=%s \n", strloc, chain, out); + if(strloc != NULL){ + /* will affect out */ /* strloc+strlenc(chain)=+V2 */ /* Will also work in Unicode */ + memmove(strloc,strloc+strlen(chain), strlen(strloc+strlen(chain))+1); + /* strcpy (strloc, strloc +strlen(chain));*/ + } + printf("Aft strloc=%s chain=%s in=%s out=%s \n", strloc, chain, in, out); + return out; +} + + char *cutl(char *blocc, char *alocc, char *in, char occ) { - /* cuts string in into blocc and alocc where blocc ends before first occurence of char 'occ' + /* cuts string in into blocc and alocc where blocc ends before FIRST occurence of char 'occ' and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2') - gives blocc="abcdef2ghi" and alocc="j". + gives blocc="abcdef" and alocc="ghi2j". If occ is not found blocc is null and alocc is equal to in. Returns blocc */ char *s, *t; @@ -897,7 +1071,7 @@ char *cutl(char *blocc, char *alocc, cha } char *cutv(char *blocc, char *alocc, char *in, char occ) { - /* cuts string in into blocc and alocc where blocc ends before last occurence of char 'occ' + /* cuts string in into blocc and alocc where blocc ends before LAST occurence of char 'occ' and alocc starts after last occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2') gives blocc="abcdef2ghi" and alocc="j". If occ is not found blocc is null and alocc is equal to in. Returns alocc @@ -1208,7 +1382,13 @@ double f1dim(double x) /*****************brent *************************/ double brent(double ax, double bx, double cx, double (*f)(double), double tol, double *xmin) -{ +{ + /* Given a function f, and given a bracketing triplet of abscissas ax, bx, cx (such that bx is + * between ax and cx, and f(bx) is less than both f(ax) and f(cx) ), this routine isolates + * the minimum to a fractional precision of about tol using Brent’s method. The abscissa of + * the minimum is returned as xmin, and the minimum function value is returned as brent , the + * returned function value. + */ int iter; double a,b,d,etemp; double fu=0,fv,fw,fx; @@ -1261,19 +1441,19 @@ double brent(double ax, double bx, doubl if (fu <= fx) { if (u >= x) a=x; else b=x; SHFT(v,w,x,u) - SHFT(fv,fw,fx,fu) - } else { - if (u < x) a=u; else b=u; - if (fu <= fw || w == x) { - v=w; - w=u; - fv=fw; - fw=fu; - } else if (fu <= fv || v == x || v == w) { - v=u; - fv=fu; - } - } + SHFT(fv,fw,fx,fu) + } else { + if (u < x) a=u; else b=u; + if (fu <= fw || w == x) { + v=w; + w=u; + fv=fw; + fw=fu; + } else if (fu <= fv || v == x || v == w) { + v=u; + fv=fu; + } + } } nrerror("Too many iterations in brent"); *xmin=x; @@ -1284,25 +1464,44 @@ double brent(double ax, double bx, doubl void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb, double *fc, double (*func)(double)) -{ +{ /* Given a function func , and given distinct initial points ax and bx , this routine searches in +the downhill direction (defined by the function as evaluated at the initial points) and returns +new points ax , bx , cx that bracket a minimum of the function. Also returned are the function +values at the three points, fa, fb , and fc such that fa > fb and fb < fc. + */ double ulim,u,r,q, dum; double fu; - - *fa=(*func)(*ax); - *fb=(*func)(*bx); + + double scale=10.; + int iterscale=0; + + *fa=(*func)(*ax); /* xta[j]=pcom[j]+(*ax)*xicom[j]; fa=f(xta[j])*/ + *fb=(*func)(*bx); /* xtb[j]=pcom[j]+(*bx)*xicom[j]; fb=f(xtb[j]) */ + + + /* while(*fb != *fb){ /\* *ax should be ok, reducing distance to *ax *\/ */ + /* printf("Warning mnbrak *fb = %lf, *bx=%lf *ax=%lf *fa==%lf iter=%d\n",*fb, *bx, *ax, *fa, iterscale++); */ + /* *bx = *ax - (*ax - *bx)/scale; */ + /* *fb=(*func)(*bx); /\* xtb[j]=pcom[j]+(*bx)*xicom[j]; fb=f(xtb[j]) *\/ */ + /* } */ + if (*fb > *fa) { SHFT(dum,*ax,*bx,dum) - SHFT(dum,*fb,*fa,dum) - } + SHFT(dum,*fb,*fa,dum) + } *cx=(*bx)+GOLD*(*bx-*ax); *fc=(*func)(*cx); - while (*fb > *fc) { /* Declining fa, fb, fc */ +#ifdef DEBUG + printf("mnbrak0 *fb=%.12e *fc=%.12e\n",*fb,*fc); + fprintf(ficlog,"mnbrak0 *fb=%.12e *fc=%.12e\n",*fb,*fc); +#endif + while (*fb > *fc) { /* Declining a,b,c with fa> fb > fc */ r=(*bx-*ax)*(*fb-*fc); q=(*bx-*cx)*(*fb-*fa); u=(*bx)-((*bx-*cx)*q-(*bx-*ax)*r)/ - (2.0*SIGN(FMAX(fabs(q-r),TINY),q-r)); /* Minimum abscisse of a parabolic estimated from (a,fa), (b,fb) and (c,fc). */ - ulim=(*bx)+GLIMIT*(*cx-*bx); /* Maximum abscisse where function can be evaluated */ - if ((*bx-u)*(u-*cx) > 0.0) { /* if u between b and c */ + (2.0*SIGN(FMAX(fabs(q-r),TINY),q-r)); /* Minimum abscissa of a parabolic estimated from (a,fa), (b,fb) and (c,fc). */ + ulim=(*bx)+GLIMIT*(*cx-*bx); /* Maximum abscissa where function should be evaluated */ + if ((*bx-u)*(u-*cx) > 0.0) { /* if u_p is between b and c */ fu=(*func)(u); #ifdef DEBUG /* f(x)=A(x-u)**2+f(u) */ @@ -1311,23 +1510,85 @@ void mnbrak(double *ax, double *bx, doub fparabu= *fa - A*(*ax-u)*(*ax-u); printf("mnbrak (*ax=%.12f, *fa=%.12lf), (*bx=%.12f, *fb=%.12lf), (*cx=%.12f, *fc=%.12lf), (*u=%.12f, fu=%.12lf, fparabu=%.12f)\n",*ax,*fa,*bx,*fb,*cx,*fc,u,fu, fparabu); fprintf(ficlog, "mnbrak (*ax=%.12f, *fa=%.12lf), (*bx=%.12f, *fb=%.12lf), (*cx=%.12f, *fc=%.12lf), (*u=%.12f, fu=%.12lf, fparabu=%.12f)\n",*ax,*fa,*bx,*fb,*cx,*fc,u,fu, fparabu); + /* And thus,it can be that fu > *fc even if fparabu < *fc */ + /* mnbrak (*ax=7.666299858533, *fa=299039.693133272231), (*bx=8.595447774979, *fb=298976.598289369489), + (*cx=10.098840694817, *fc=298946.631474258087), (*u=9.852501168332, fu=298948.773013752128, fparabu=298945.434711494134) */ + /* In that case, there is no bracket in the output! Routine is wrong with many consequences.*/ #endif +#ifdef MNBRAKORIGINAL +#else +/* if (fu > *fc) { */ +/* #ifdef DEBUG */ +/* printf("mnbrak4 fu > fc \n"); */ +/* fprintf(ficlog, "mnbrak4 fu > fc\n"); */ +/* #endif */ +/* /\* SHFT(u,*cx,*cx,u) /\\* ie a=c, c=u and u=c; in that case, next SHFT(a,b,c,u) will give a=b=b, b=c=u, c=u=c and *\\/ *\/ */ +/* /\* SHFT(*fa,*fc,fu,*fc) /\\* (b, u, c) is a bracket while test fb > fc will be fu > fc will exit *\\/ *\/ */ +/* dum=u; /\* Shifting c and u *\/ */ +/* u = *cx; */ +/* *cx = dum; */ +/* dum = fu; */ +/* fu = *fc; */ +/* *fc =dum; */ +/* } else { /\* end *\/ */ +/* #ifdef DEBUG */ +/* printf("mnbrak3 fu < fc \n"); */ +/* fprintf(ficlog, "mnbrak3 fu < fc\n"); */ +/* #endif */ +/* dum=u; /\* Shifting c and u *\/ */ +/* u = *cx; */ +/* *cx = dum; */ +/* dum = fu; */ +/* fu = *fc; */ +/* *fc =dum; */ +/* } */ +#ifdef DEBUG + printf("mnbrak34 fu < or >= fc \n"); + fprintf(ficlog, "mnbrak34 fu < fc\n"); +#endif + dum=u; /* Shifting c and u */ + u = *cx; + *cx = dum; + dum = fu; + fu = *fc; + *fc =dum; +#endif } else if ((*cx-u)*(u-ulim) > 0.0) { /* u is after c but before ulim */ +#ifdef DEBUG + printf("mnbrak2 u after c but before ulim\n"); + fprintf(ficlog, "mnbrak2 u after c but before ulim\n"); +#endif fu=(*func)(u); if (fu < *fc) { +#ifdef DEBUG + printf("mnbrak2 u after c but before ulim AND fu < fc\n"); + fprintf(ficlog, "mnbrak2 u after c but before ulim AND fu = 0.0) { /* u outside ulim (verifying that ulim is beyond c) */ +#ifdef DEBUG + printf("mnbrak2 u outside ulim (verifying that ulim is beyond c)\n"); + fprintf(ficlog, "mnbrak2 u outside ulim (verifying that ulim is beyond c)\n"); +#endif u=ulim; fu=(*func)(u); - } else { + } else { /* u could be left to b (if r > q parabola has a maximum) */ +#ifdef DEBUG + printf("mnbrak2 u could be left to b (if r > q parabola has a maximum)\n"); + fprintf(ficlog, "mnbrak2 u could be left to b (if r > q parabola has a maximum)\n"); +#endif u=(*cx)+GOLD*(*cx-*bx); fu=(*func)(u); - } + } /* end tests */ SHFT(*ax,*bx,*cx,u) - SHFT(*fa,*fb,*fc,fu) - } + SHFT(*fa,*fb,*fc,fu) +#ifdef DEBUG + printf("mnbrak2 (*ax=%.12f, *fa=%.12lf), (*bx=%.12f, *fb=%.12lf), (*cx=%.12f, *fc=%.12lf), (*u=%.12f, fu=%.12lf)\n",*ax,*fa,*bx,*fb,*cx,*fc,u,fu); + fprintf(ficlog, "mnbrak2 (*ax=%.12f, *fa=%.12lf), (*bx=%.12f, *fb=%.12lf), (*cx=%.12f, *fc=%.12lf), (*u=%.12f, fu=%.12lf)\n",*ax,*fa,*bx,*fb,*cx,*fc,u,fu); +#endif + } /* end while; ie return (a, b, c, fa, fb, fc) such that a < b < c with f(a) > f(b) and fb < f(c) */ } /*************** linmin ************************/ @@ -1350,27 +1611,97 @@ void linmin(double p[], double xi[], int int j; double xx,xmin,bx,ax; double fx,fb,fa; - + +#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 */ } - ax=0.0; - xx=1.0; - mnbrak(&ax,&xx,&bx,&fa,&fx,&fb,f1dim); /* Find a bracket a,x,b in direction n=xi ie xicom */ - *fret=brent(ax,xx,bx,f1dim,TOL,&xmin); /* Find a minimum P+lambda n in that direction (lambdamin), with TOL between abscisses */ + +#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)) */ + /* Outputs: fa=f(p(j)) and fx=f(p(j) + xxs * xi(j) ) and f(bx)= f(p(j)+ bx* xi(j)) */ + /* 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]]*/ +#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]) */ + /* fmin = f(p[j] + xmin * xi[j]) */ + /* P+lambda n in that direction (lambdamin), with TOL between abscisses */ + /* f1dim(xmin): for (j=1;j<=ncom;j++) xt[j]=pcom[j]+xmin*xicom[j]; */ #ifdef DEBUG printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin); fprintf(ficlog,"retour brent fret=%.12e xmin=%.12e\n",*fret,xmin); #endif +#ifdef DEBUGLINMIN + printf("linmin end "); + fprintf(ficlog,"linmin end "); +#endif for (j=1;j<=n;j++) { +#ifdef LINMINORIGINAL xi[j] *= xmin; - p[j] += xi[j]; +#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 */ } +#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]= %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); } @@ -1392,6 +1723,7 @@ void powell(double p[], double **xi, int double (*func)(double [])); int i,ibig,j; double del,t,*pt,*ptt,*xit; + double directest; double fp,fptt; double *xits; int niterf, itmp; @@ -1402,9 +1734,9 @@ 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); + fp=(*fret); /* From former iteration or initial value */ ibig=0; del=0.0; rlast_time=rcurr_time; @@ -1414,7 +1746,7 @@ void powell(double p[], double **xi, int printf("\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout); fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog); /* fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tm_sec-start_time.tm_sec); */ - for (i=1;i<=n;i++) { + for (i=1;i<=n;i++) { printf(" %d %.12f",i, p[i]); fprintf(ficlog," %d %.12lf",i, p[i]); fprintf(ficrespow," %.12lf", p[i]); @@ -1442,17 +1774,22 @@ void powell(double p[], double **xi, int fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr); } } - for (i=1;i<=n;i++) { - for (j=1;j<=n;j++) xit[j]=xi[j][i]; + for (i=1;i<=n;i++) { /* For each direction i */ + 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); + printf("%d",i);fflush(stdout); /* print direction (parameter) i */ fprintf(ficlog,"%d",i);fflush(ficlog); - linmin(p,xit,n,fret,func); - if (fabs(fptt-(*fret)) > del) { + 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 */ + if (fabs(fptt-(*fret)) > del) { /* We are keeping the max gain on each of the n directions */ + /* because that direction will be replaced unless the gain del is small */ + /* in comparison with the 'probable' gain, mu^2, with the last average direction. */ + /* Unless the n directions are conjugate some gain in the determinant may be obtained */ + /* with the new direction. */ del=fabs(fptt-(*fret)); ibig=i; } @@ -1471,8 +1808,23 @@ void powell(double p[], double **xi, int printf("\n"); fprintf(ficlog,"\n"); #endif - } /* end i */ - if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { + } /* end loop on each direction i */ + /* Convergence test will use last linmin estimation (fret) and compare former iteration (fp) */ + /* But p and xit have been updated at the end of linmin, *fret corresponds to new p, xit */ + /* New value of last point Pn is not computed, P(n-1) */ + if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /* Did we reach enough precision? */ + /* We could compare with a chi^2. chisquare(0.95,ddl=1)=3.84 */ + /* By adding age*age in a model, the new -2LL should be lower and the difference follows a */ + /* a chisquare statistics with 1 degree. To be significant at the 95% level, it should have */ + /* decreased of more than 3.84 */ + /* By adding age*age and V1*age the gain (-2LL) should be more than 5.99 (ddl=2) */ + /* By using V1+V2+V3, the gain should be 7.82, compared with basic 1+age. */ + /* By adding 10 parameters more the gain should be 18.31 */ + + /* Starting the program with initial values given by a former maximization will simply change */ + /* the scales of the directions and the directions, because the are reset to canonical directions */ + /* Thus the first calls to linmin will give new points and better maximizations until fp-(*fret) is */ + /* under the tolerance value. If the tolerance is very small 1.e-9, it could last long. */ #ifdef DEBUG int k[2],l; k[0]=1; @@ -1502,31 +1854,35 @@ void powell(double p[], double **xi, int free_vector(ptt,1,n); free_vector(pt,1,n); return; - } + } /* enough precision */ if (*iter == ITMAX) nrerror("powell exceeding maximum iterations."); - for (j=1;j<=n;j++) { /* Computes an extrapolated point */ + for (j=1;j<=n;j++) { /* Computes the extrapolated point P_0 + 2 (P_n-P_0) */ ptt[j]=2.0*p[j]-pt[j]; xit[j]=p[j]-pt[j]; pt[j]=p[j]; } - fptt=(*func)(ptt); + fptt=(*func)(ptt); /* f_3 */ +#ifdef POWELLF1F3 +#else if (fptt < fp) { /* If extrapolated point is better, decide if we keep that new direction or not */ +#endif /* (x1 f1=fp), (x2 f2=*fret), (x3 f3=fptt), (xm fm) */ /* From x1 (P0) distance of x2 is at h and x3 is 2h */ /* Let f"(x2) be the 2nd derivative equal everywhere. */ /* Then the parabolic through (x1,f1), (x2,f2) and (x3,f3) */ /* will reach at f3 = fm + h^2/2 f"m ; f" = (f1 -2f2 +f3 ) / h**2 */ - /* f1-f3 = delta(2h) = 2 h**2 f'' = 2(f1- 2f2 +f3) */ - /* Thus we compare delta(2h) with observed f1-f3 */ - /* or best gain on one ancient line 'del' with total */ - /* gain f1-f2 = f1 - f2 - 'del' with del */ + /* Conditional for using this new direction is that mu^2 = (f1-2f2+f3)^2 /2 < del */ /* t=2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del)-del*SQR(fp-fptt); */ - - t=2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del); +#ifdef NRCORIGINAL + t=2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del)- del*SQR(fp-fptt); /* Original Numerical Recipes in C*/ +#else + 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); - printf("t1= %.12lf, t2= %.12lf, t=%.12lf\n", 2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del),del*SQR(fp-fptt),t); - fprintf(ficlog,"t1= %.12lf, t2= %.12lf, t=%.12lf\n", 2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del),del*SQR(fp-fptt),t); +#endif + 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); printf("t3= %.12lf, t4= %.12lf, t3*= %.12lf, t4*= %.12lf\n",SQR(fp-(*fret)-del),SQR(fp-fptt), (fp-(*fret)-del)*(fp-(*fret)-del),(fp-fptt)*(fp-fptt)); fprintf(ficlog,"t3= %.12lf, t4= %.12lf, t3*= %.12lf, t4*= %.12lf\n",SQR(fp-(*fret)-del),SQR(fp-fptt), @@ -1534,14 +1890,45 @@ void powell(double p[], double **xi, int printf("tt= %.12lf, t=%.12lf\n",2.0*(fp-2.0*(*fret)+fptt)*(fp-(*fret)-del)*(fp-(*fret)-del)-del*(fp-fptt)*(fp-fptt),t); fprintf(ficlog, "tt= %.12lf, t=%.12lf\n",2.0*(fp-2.0*(*fret)+fptt)*(fp-(*fret)-del)*(fp-(*fret)-del)-del*(fp-fptt)*(fp-fptt),t); #endif - if (t < 0.0) { /* Then we use it for last direction */ - linmin(p,xit,n,fret,func); /* computes mean on the extrapolated direction.*/ +#ifdef POWELLORIGINAL + if (t < 0.0) { /* Then we use it for new direction */ +#else + if (directest*t < 0.0) { /* Contradiction between both tests */ + 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 (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 */ +#endif +#ifdef DEBUGLINMIN + printf("Before linmin in direction P%d-P0\n",n); for (j=1;j<=n;j++) { - xi[j][ibig]=xi[j][n]; /* Replace the direction with biggest decrease by n */ - xi[j][n]=xit[j]; /* and nth direction by the extrapolated */ + 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]); + 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++) { + xi[j][ibig]=xi[j][n]; /* Replace direction with biggest decrease by last direction n */ + xi[j][n]=xit[j]; /* and this nth direction by the by the average p_0 p_n */ } - printf("Gaining to use average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); - fprintf(ficlog,"Gaining to use average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); + printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); + fprintf(ficlog,"Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); #ifdef DEBUG printf("Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); @@ -1553,24 +1940,28 @@ void powell(double p[], double **xi, int printf("\n"); fprintf(ficlog,"\n"); #endif - } /* end of t negative */ + } /* end of t or directest negative */ +#ifdef POWELLF1F3 +#else } /* end if (fptt < fp) */ - } +#endif + } /* loop iteration */ } /**** 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 */ + matrix by transitions matrix until convergence is reached with precision ftolpl */ int i, ii,j,k; double min, max, maxmin, maxmax,sumnew=0.; /* double **matprod2(); */ /* test */ double **out, cov[NCOVMAX+1], **pmij(); double **newm; - double agefin, delaymax=50 ; /* Max number of years to converge */ + double agefin, delaymax=100 ; /* Max number of years to converge */ + int ncvloop=0; for (ii=1;ii<=nlstate+ndeath;ii++) for (j=1;j<=nlstate+ndeath;j++){ @@ -1580,18 +1971,25 @@ 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; - + if(nagesqr==1) + cov[3]= agefin*agefin;; for (k=1; k<=cptcovn;k++) { - cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; - /*printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtab[%d][Tvar[%d]]=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k], ij, k, codtab[ij][Tvar[k]]);*/ - } - /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ - /* for (k=1; k<=cptcovprod;k++) /\* Useless *\/ */ - /* cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]] * nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]]; */ + /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */ + cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; + /* printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtabm(ij,Tvar[k])],cov[2+k], ij, k, codtabm(ij,Tvar[k])]); */ + } + /*wrong? for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ + /* for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]*cov[2]; */ + for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,k)]*cov[2]; + for (k=1; k<=cptcovprod;k++) /* Useless */ + /* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ + cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ @@ -1610,17 +2008,23 @@ double **prevalim(double **prlim, int nl sumnew=0; for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k]; 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]); + /* printf(" age= %d prevalim i=%d, j=%d, prmlim[%d][%d]=%f, agefin=%d max=%f min=%f\n", (int)age, i, j, i, j, prlim[i][j],(int)agefin, max, min); */ } - maxmin=max-min; + maxmin=(max-min)/(max+min)*2; maxmax=FMAX(maxmax,maxmin); } /* j loop */ + *ncvyear= (int)age- (int)agefin; + /* printf("maxmax=%lf maxmin=%lf ncvloop=%ld, age=%d, agefin=%d ncvyear=%d \n", maxmax, maxmin, ncvloop, (int)age, (int)agefin, *ncvyear); */ if(maxmax < ftolpl){ + /* printf("maxmax=%lf maxmin=%lf ncvloop=%ld, age=%d, agefin=%d ncvyear=%d \n", maxmax, maxmin, ncvloop, (int)age, (int)agefin, *ncvyear); */ return prlim; } } /* age loop */ + printf("Warning: the stable prevalence at age %d did not converge with the required precision %g > ftolpl=%g. \n\ +Earliest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, (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); */ return prlim; /* should not reach here */ } @@ -1745,6 +2149,7 @@ double ***hpxij(double ***po, int nhstep int i, j, d, h, k; double **out, cov[NCOVMAX+1]; double **newm; + double agexact; /* Hstepm could be zero and should return the unit matrix */ for (i=1;i<=nlstate+ndeath;i++) @@ -1758,13 +2163,20 @@ double ***hpxij(double ***po, int nhstep newm=savm; /* Covariates have to be included here again */ cov[1]=1.; - cov[2]=age+((h-1)*hstepm + (d-1))*stepm/YEARM; + agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; + cov[2]=agexact; + if(nagesqr==1) + cov[3]= agexact*agexact; for (k=1; k<=cptcovn;k++) - cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; - for (k=1; k<=cptcovage;k++) - cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; + cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; + /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */ + for (k=1; k<=cptcovage;k++) /* Should start at cptcovn+1 */ + /* cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ + cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; + /* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]*cov[2]; */ for (k=1; k<=cptcovprod;k++) /* Useless because included in cptcovn */ - cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]]; + cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; + /* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]*nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/ @@ -1816,6 +2228,7 @@ double func( double *x) 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]);*/ @@ -1837,7 +2250,7 @@ double func( double *x) to be observed in j being in i according to the model. */ for (k=1; k<=cptcovn;k++){ /* Simple and product covariates without age* products */ - cov[2+k]=covar[Tvar[k]][i]; + cov[2+nagesqr+k]=covar[Tvar[k]][i]; } /* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] is 6, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2] @@ -1850,9 +2263,12 @@ double func( double *x) } for(d=0; dFile of contributions to the likelihood: %s
\n",subdirf(fileresilk),subdirf(fileresilk)); - fflush(fichtm); + fprintf(fichtm,"\n
File of contributions to the likelihood computed with initial parameters and mle >= 1. You should at least run with mle >= 1 and starting values corresponding to the optimized parameters in order to visualize the real contribution of each individual/wave: %s
\n",subdirf(fileresilk),subdirf(fileresilk)); + fprintf(fichtm,"
- The first 3 individuals are drawn with lines. The function drawn is -2Log(L) in log scale: %s.png
\ +",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_")); + fflush(fichtm); } return; } @@ -2228,7 +2686,7 @@ 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); @@ -2273,30 +2731,30 @@ void mlikeli(FILE *ficres,double p[], in fclose(ficrespow); 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,"\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); @@ -2307,9 +2765,9 @@ 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]);*/ @@ -2343,53 +2801,78 @@ 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; @@ -2405,9 +2888,9 @@ 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 @@ -2421,48 +2904,122 @@ 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; + 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.){ + kmax=kmax+10; + if(kmax >=10){ + printf("Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; increase ftol=%.2e\n",thetai,thetaj, ftol); + fprintf(ficlog,"Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; 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) { @@ -2539,7 +3096,7 @@ void lubksb(double **a, int n, int *indx void pstamp(FILE *fichier) { - fprintf(fichier,"# %s.%s\n#%s\n#%s\n# %s", optionfilefiname,optionfilext,version,fullversion,strstart); + fprintf(fichier,"# %s.%s\n#IMaCh version %s, %s\n#%s\n# %s", optionfilefiname,optionfilext,version,copyright, fullversion, strstart); } /************ Frequencies ********************/ @@ -2555,8 +3112,8 @@ void freqsummary(char fileres[], int ia pp=vector(1,nlstate); prop=matrix(1,nlstate,iagemin,iagemax+3); - strcpy(fileresp,"p"); - strcat(fileresp,fileres); + strcpy(fileresp,"P_"); + strcat(fileresp,fileresu); if((ficresp=fopen(fileresp,"w"))==NULL) { printf("Problem with prevalence resultfile: %s\n", fileresp); fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp); @@ -2591,13 +3148,13 @@ void freqsummary(char fileres[], int ia 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]][codtab[j1][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, codtab[%d][%d]=%d, nbcode[Tvaraff][codtab[%d][%d]=%d, j1=%d\n", - bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtab[j1][z1], - j1,z1,nbcode[Tvaraff[z1]][codtab[j1][z1]],j1);*/ - /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtab[7][3]=1 and nbcde[3][?]=1*/ + /* 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*/ } } @@ -2626,10 +3183,10 @@ void freqsummary(char fileres[], int ia pstamp(ficresp); if (cptcovn>0) { fprintf(ficresp, "\n#********** Variable "); - for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]); + 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]][codtab[j1][z1]]); + 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++) @@ -2757,7 +3314,7 @@ void prevalence(double ***probs, double bool=1; if (cptcovn>0) { for (z1=1; z1<=cptcoveff; z1++) - if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]) + if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) bool=0; } if (bool==1) { @@ -2962,12 +3519,12 @@ void tricode(int *Tvar, int **nbcode, in cptcoveff=0; - for (k=-1; k < maxncov; k++) Ndum[k]=0; for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */ /* Loop on covariates without age and products */ - for (j=1; j<=(cptcovs); j++) { /* model V1 + V2*age+ V3 + V3*V4 : V1 + V3 = 2 only */ - for (i=1; i<=imx; i++) { /* Lopp on individuals: reads the data file to get the maximum value of the + for (j=1; j<=(cptcovs); j++) { /* From model V1 + V2*age+ V3 + V3*V4 keeps V1 + V3 = 2 only */ + for (k=-1; k < maxncov; k++) Ndum[k]=0; + for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the modality of this covariate Vj*/ ij=(int)(covar[Tvar[j]][i]); /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i * If product of Vn*Vm, still boolean *: @@ -2989,66 +3546,87 @@ void tricode(int *Tvar, int **nbcode, in /* getting the maximum value of the modality of the covariate (should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and female is 1, then modmaxcovj=1.*/ - } + } /* end for loop on individuals i */ printf(" Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], modmincovj, modmaxcovj); + fprintf(ficlog," Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], modmincovj, modmaxcovj); cptcode=modmaxcovj; /* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */ /*for (i=0; i<=cptcode; i++) {*/ - for (i=modmincovj; i<=modmaxcovj; i++) { /* i=-1 ? 0 and 1*//* For each value of the modality of model-cov j */ - printf("Frequencies of covariates %d V%d %d\n", j, Tvar[j], Ndum[i]); - if( Ndum[i] != 0 ){ /* Counts if nobody answered, empty modality */ - ncodemax[j]++; /* ncodemax[j]= Number of non-null modalities of the j th covariate. */ + for (k=modmincovj; k<=modmaxcovj; k++) { /* k=-1 ? 0 and 1*//* For each value k of the modality of model-cov j */ + 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. */ } /* 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 */ } /* 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. If Ndum[2]=0 ncodemax[j] is not 4 but 3 */ - /* If Ndum[3}= 635; Ndum[4]=0; Ndum[5]=0; Ndum[6]=27; Ndum[7]=125; + /* 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; modmincovj=3; modmaxcovj = 7; - There are only 3 modalities non empty (or 2 if 27 is too few) : ncodemax[j]=3; - which will be coded 0, 1, 2 which in binary on 3-1 digits are 0=00 1=01, 2=10; defining two dummy - variables V1_1 and V1_2. + There are only 3 modalities non empty 3, 6, 7 (or 2 if 27 is too few) : ncodemax[j]=3; + which will be coded 0, 1, 2 which in binary on 2=3-1 digits are 0=00 1=01, 2=10; + defining two dummy variables: variables V1_1 and V1_2. nbcode[Tvar[j]][ij]=k; nbcode[Tvar[j]][1]=0; nbcode[Tvar[j]][2]=1; nbcode[Tvar[j]][3]=2; + To be continued (not working yet). */ - ij=1; /* ij is similar to i but can jumps over null modalities */ - for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 */ - for (k=0; k<= cptcode; k++) { /* k=-1 ? k=0 to 1 *//* Could be 1 to 4 */ - /*recode from 0 */ - if (Ndum[k] != 0) { /* If at least one individual responded to this modality k */ - nbcode[Tvar[j]][ij]=k; /* stores the modality in an array nbcode. - k is a modality. If we have model=V1+V1*sex - then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */ - ij++; - } - if (ij > ncodemax[j]) break; - } /* end of loop on */ - } /* end of loop on modality */ + 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; + } + 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 */ + } /* end of loop on modality i=-1 to 1 or more */ + + /* for (k=0; k<= cptcode; k++) { /\* k=-1 ? k=0 to 1 *\//\* Could be 1 to 4 *\//\* cptcode=modmaxcovj *\/ */ + /* /\*recode from 0 *\/ */ + /* k is a modality. If we have model=V1+V1*sex */ + /* then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */ + /* But if some modality were not used, it is recoded from 0 to a newer modmaxcovj=cptcode *\/ */ + /* } */ + /* /\* cptcode = ij; *\/ /\* New max modality for covar j *\/ */ + /* if (ij > ncodemax[j]) { */ + /* printf( " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]); */ + /* fprintf(ficlog, " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]); */ + /* break; */ + /* } */ + /* } /\* 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 (i=1; i<=ncovmodel-2; i++) { /* -2, cste and age */ + 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]++; + Ndum[ij]++; /* Might be supersed V1 + V1*age */ } - ij=1; + 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) */ - ij++; - }else - Tvaraff[ij]=0; + }else{ + /* Tvaraff[ij]=0; */ + } } - ij--; + /* ij--; */ cptcoveff=ij; /*Number of total covariates*/ } @@ -3374,7 +3952,7 @@ void cvevsij(double ***eij, double x[], } /************ 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[]) + 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 *ncvyear, 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);*/ @@ -3403,11 +3981,11 @@ void varevsij(char optionfilefiname[], d if(popbased==1){ if(mobilav!=0) - strcpy(digitp,"-populbased-mobilav-"); - else strcpy(digitp,"-populbased-nomobil-"); + strcpy(digitp,"-POPULBASED-MOBILAV_"); + else strcpy(digitp,"-POPULBASED-NOMOBIL_"); } else - strcpy(digitp,"-stablbased-"); + strcpy(digitp,"-STABLBASED_"); if (mobilav!=0) { mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); @@ -3417,12 +3995,12 @@ void varevsij(char optionfilefiname[], d } } - strcpy(fileresprobmorprev,"prmorprev"); + 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); + strcat(fileresprobmorprev,fileresu); if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) { printf("Problem with resultfile: %s\n", fileresprobmorprev); fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobmorprev); @@ -3440,7 +4018,8 @@ void varevsij(char optionfilefiname[], d } fprintf(ficresprobmorprev,"\n"); fprintf(ficgp,"\n# Routine varevsij"); - /* fprintf(fichtm, "#Local time at start: %s", strstart);*/ + 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); /* } */ @@ -3499,7 +4078,7 @@ void varevsij(char optionfilefiname[], d 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); + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyear,ij); if (popbased==1) { if(mobilav ==0){ @@ -3530,7 +4109,7 @@ void varevsij(char optionfilefiname[], d 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); + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyear, ij); if (popbased==1) { if(mobilav ==0){ @@ -3605,7 +4184,7 @@ void varevsij(char optionfilefiname[], d /* 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); + prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ncvyear,ij); if (popbased==1) { if(mobilav ==0){ @@ -3652,9 +4231,11 @@ void varevsij(char optionfilefiname[], d free_vector(gmp,nlstate+1,nlstate+ndeath); free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath); free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/ - fprintf(ficgp,"\nunset parametric;unset label; set ter png small size 320, 240"); + /* 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); */ @@ -3662,11 +4243,11 @@ void varevsij(char optionfilefiname[], d 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(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.png\";replot;",digitp,optionfilefiname,digit); */ - fprintf(ficgp,"\nset out \"%s%s.png\";replot;\n",subdirf3(optionfilefiname,"varmuptjgr",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); @@ -3681,7 +4262,7 @@ void varevsij(char optionfilefiname[], d } /* end varevsij */ /************ Variance of prevlim ******************/ -void varprevlim(char fileres[], double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij, 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 *ncvyear, int ij, char strstart[]) { /* Variance of prevalence limit */ /* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/ @@ -3720,13 +4301,13 @@ 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); + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyear,ij); for(i=1;i<=nlstate;i++) gp[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); + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyear,ij); for(i=1;i<=nlstate;i++) gm[i] = prlim[i][i]; @@ -3784,20 +4365,20 @@ void varprob(char optionfilefiname[], do char fileresprobcor[FILENAMELENGTH]; double ***varpij; - strcpy(fileresprob,"prob"); + 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); + 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,fileres); + 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); @@ -3839,10 +4420,9 @@ void varprob(char optionfilefiname[], do 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 pairs of step probabilities (drawings)

    • \n",optionfilehtmcov); - fprintf(fichtmcov,"\n

    Matrix of variance-covariance of pairs of step probabilities

    \n\ - file %s
    \n",optionfilehtmcov); - fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (pij, pkl) are estimated\ + 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. \ @@ -3863,23 +4443,23 @@ To be simple, these graphs help to under /*j1++;*/ if (cptcovn>0) { fprintf(ficresprob, "\n#********** Variable "); - for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]); + 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]][codtab[j1][z1]]); + 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]][codtab[j1][z1]]); + 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]][codtab[j1][z1]]); + 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]][codtab[j1][z1]]); + for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); fprintf(ficresprobcor, "**********\n#"); } @@ -3889,17 +4469,21 @@ To be simple, these graphs help to under 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+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]];/* j1 1 2 3 4 + 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]]=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+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]]; + 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++){ @@ -4047,17 +4631,18 @@ To be simple, these graphs help to under /* 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 png small size 320, 240"); + 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.png, ",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); + :\ +%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.png\"",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2); + 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",\ @@ -4074,7 +4659,7 @@ To be simple, these graphs help to under }/* if first */ } /* age mod 5 */ } /* end loop age */ - fprintf(ficgp,"\nset out \"%s%d%1d%1d-%1d%1d.png\";replot;",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2); + 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 */ @@ -4096,7 +4681,7 @@ To be simple, these graphs help to under /******************* 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 ,\ @@ -4109,20 +4694,20 @@ void printinghtml(char fileres[], char t "); 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")); + jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,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,"\ - 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")); + estepm,subdirf2(fileresu,"E_"),subdirf2(fileresu,"E_")); fprintf(fichtm,"\ - Population projections by age and states: \ - %s
      \n
      • ", subdirf2(fileres,"f"),subdirf2(fileres,"f")); + %s
      \n", subdirf2(fileresu,"F_"),subdirf2(fileresu,"F_")); fprintf(fichtm," \n
      • Graphs

        • "); @@ -4131,65 +4716,90 @@ fprintf(fichtm," \n

        • Graphs jj1=0; for(k1=1; k1<=m;k1++){ - for(i1=1; i1<=ncodemax[k1];i1++){ + /* 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]][codtab[jj1][cpt]]); + for (cpt=1; cpt<=cptcoveff;cpt++){ + fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); + printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); + } fprintf(fichtm," ************\n
          "); } + /* aij, bij */ + fprintf(fichtm,"
          - Logit model, for example: logit(pij)=log(pij/pii)= aij+ bij age + V1 age + etc. as a function of age: %s_%d-1.svg
          \ +",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.png
          \ -",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.png
          \ -",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1); - /* Period (stable) prevalence in each health state */ - for(cpt=1; cpt<=nlstate;cpt++){ - fprintf(fichtm,"
          - 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.png
          \ -", cpt, cpt, nlstate, subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1); - } + 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 any different live states 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); + } 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.png
          \ -",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 i1 *\/ */ }/* End k1 */ fprintf(fichtm,"
        "); - fprintf(fichtm,"\ \n

      • Result files (second order: variances)

        \n\ - - Parameter file with estimated parameters and covariance matrix: %s
        \n", rfileres,rfileres); + - Parameter file with estimated parameters and covariance matrix: %s
        \ + - 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 \ +variances but at the covariance matrix. And instead of looking at the estimated coefficients \ +(parameters) of the logistic regression, it might be more meaningful to visualize the \ +covariance matrix of the one-step probabilities. \ +See page 'Matrix of variance-covariance of one-step probabilities' below. \n", rfileres,rfileres); - fprintf(fichtm," - Variance of one-step probabilities: %s
        \n", - subdirf2(fileres,"prob"),subdirf2(fileres,"prob")); + 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,"\ - Correlation matrix of one-step probabilities: %s
        \n", - subdirf2(fileres,"probcor"),subdirf2(fileres,"probcor")); + 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")); + 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")); + 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")); + 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")); + 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 */ @@ -4205,37 +4815,38 @@ fprintf(fichtm," \n
        • Graphs jj1=0; for(k1=1; k1<=m;k1++){ - for(i1=1; i1<=ncodemax[k1];i1++){ + /* 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]][codtab[jj1][cpt]]); + fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); fprintf(fichtm," ************\n
          "); } 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.png
          \ -",cpt,subdirf2(optionfilefiname,"v"),cpt,jj1,subdirf2(optionfilefiname,"v"),cpt,jj1); +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
          - Total life expectancy by age and \ health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \ true period expectancies (those weighted with period prevalences are also\ drawn in addition to the population based expectancies computed using\ - observed and cahotic prevalences: %s%d.png
          \ -",subdirf2(optionfilefiname,"e"),jj1,subdirf2(optionfilefiname,"e"),jj1); - } /* end i1 */ + observed and cahotic prevalences: %s_%d.svg
          \ +",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 , char pathc[], double p[]){ char dirfileres[132],optfileres[132]; int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0; int ng=0; + int vpopbased; /* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */ /* printf("Problem with file %s",optionfilegnuplot); */ /* fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */ @@ -4246,76 +4857,97 @@ 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 png size 640, 480"); +/* good 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.png\";",subdirf2(optionfilefiname,"ILK_")); + fprintf(ficgp,"\nplot \"%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"); + 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.png\" \n",subdirf2(optionfilefiname,"v"),cpt,k1); - fprintf(ficgp,"\n#set out \"v%s%d_%d.png\" \n",optionfilefiname,cpt,k1); + 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 png small size 320, 240\n\ -plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"%%lf",ageminpar,fage,subdirf2(fileres,"vpl"),k1-1,k1-1); +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(fileres,"vpl"),k1-1,k1-1); + 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(fileres,"vpl"),k1-1,k1-1); + 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(fileres,"p"),k1-1,k1-1,2+4*(cpt-1)); - } - } + 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)); + 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.png\" \n",subdirf2(optionfilefiname,"e"),k1); - fprintf(ficgp,"set ylabel \"Years\" \nset ter png small size 320, 240\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,"\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+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased); + for (j=1; j<= nlstate+1 ; j ++) { + if (j==i) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0"); + else fprintf(ficgp,"\" t\"\" w l lt 0,\\\n"); + } /* state */ + } /* vpopbased */ + fprintf(ficgp,"\nset out;set out \"%s_%d.svg\"; replot; set out; \n",subdirf2(optionfilefiname,"E_"),k1); /* Buggy gnuplot */ + } /* k1 */ /*3eme*/ for (k1=1; k1<= m ; k1 ++) { for (cpt=1; cpt<= nlstate ; cpt ++) { /* k=2+nlstate*(2*cpt-2); */ k=2+(nlstate+1)*(cpt-1); - fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1); - fprintf(ficgp,"set ter png small size 320, 240\n\ -plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileres,"e"),k1-1,k1-1,k,cpt); + fprintf(ficgp,"\nset out \"%s_%d%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1); + fprintf(ficgp,"set ter svg size 640, 480\n\ +plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),k1-1,k1-1,k,cpt); /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%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); @@ -4325,99 +4957,224 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u */ for (i=1; i< nlstate ; i ++) { - fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+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) */ + /* 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 */ k=3; + fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'lij' files, cov=%d state=%d",k1, cpt); + 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); + 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 */ + + /* 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 */ + k=3; + fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); + fprintf(ficgp,"\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); + 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 */ + + /* CV preval stable (period) for each covariate */ + for (k1=1; k1<= m ; k1 ++) { /* For each covariate if any */ + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ + 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.png\" \n",subdirf2(optionfilefiname,"p"),cpt,k1); + 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 png small size 320, 240\n\ +set ter svg size 640, 480\n\ unset log y\n\ plot [%.f:%.f] ", ageminpar, agemaxpar); for (i=1; i<= nlstate ; i ++){ if(i==1) - fprintf(ficgp,"\"%s\"",subdirf2(fileres,"pij")); + fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); else fprintf(ficgp,", '' "); l=(nlstate+ndeath)*(i-1)+1; fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); - for (j=1; j<= (nlstate-1) ; j ++) - fprintf(ficgp,"+$%d",k+l+j); + 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"); for(i=1,jk=1; i <=nlstate; i++){ + fprintf(ficgp,"# initial state %d\n",i); for(k=1; k <=(nlstate+ndeath); k++){ if (k != i) { + fprintf(ficgp,"# current state %d\n",k); for(j=1; j <=ncovmodel; j++){ - fprintf(ficgp,"p%d=%f ",jk,p[jk]); + fprintf(ficgp,"p%d=%f; ",jk,p[jk]); jk++; - fprintf(ficgp,"\n"); } + fprintf(ficgp,"\n"); } } } + fprintf(ficgp,"##############\n#\n"); + /*goto avoid;*/ - for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/ + fprintf(ficgp,"\n##############\n#Graphics of probabilities or incidences\n#############\n"); + fprintf(ficgp,"# logi(p12/p11)=a12+b12*age+c12age*age+d12*V1+e12*V1*age\n"); + fprintf(ficgp,"# logi(p12/p11)=p1 +p2*age +p3*age*age+ p4*V1+ p5*V1*age\n"); + fprintf(ficgp,"# logi(p13/p11)=a13+b13*age+c13age*age+d13*V1+e13*V1*age\n"); + fprintf(ficgp,"# logi(p13/p11)=p6 +p7*age +p8*age*age+ p9*V1+ p10*V1*age\n"); + fprintf(ficgp,"# p12+p13+p14+p11=1=p11(1+exp(a12+b12*age+c12age*age+d12*V1+e12*V1*age)\n"); + fprintf(ficgp,"# +exp(a13+b13*age+c13age*age+d13*V1+e13*V1*age)+...)\n"); + fprintf(ficgp,"# p11=1/(1+exp(a12+b12*age+c12age*age+d12*V1+e12*V1*age)\n"); + fprintf(ficgp,"# +exp(a13+b13*age+c13age*age+d13*V1+e13*V1*age)+...)\n"); + fprintf(ficgp,"# p12=exp(a12+b12*age+c12age*age+d12*V1+e12*V1*age)/\n"); + fprintf(ficgp,"# (1+exp(a12+b12*age+c12age*age+d12*V1+e12*V1*age)\n"); + 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<=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,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"pe"),jk,ng); - if (ng==2) + fprintf(ficgp,"# jk=%d\n",jk); + 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,"\nset title \"Probability\"\n"); - fprintf(ficgp,"\nset ter png small size 320, 240\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) - fprintf(ficgp," %f*exp(p%d+p%d*x",YEARM/stepm,i,i+1); - else - fprintf(ficgp," exp(p%d+p%d*x",i,i+1); + switch( ng) { + case 1: + if(nagesqr==0) + fprintf(ficgp," p%d+p%d*x",i,i+1); + else /* nagesqr =1 */ + 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); + 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; j++) { - /* if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { /\* Bug valgrind *\/ */ - /* /\*fprintf(ficgp,"+p%d*%d*x",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);*\/ */ - /* ij++; */ - /* } */ - /* else */ - fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]); + for(j=3; j <=ncovmodel-nagesqr; j++) { + /* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */ + if(ij <=cptcovage) { /* Bug valgrind */ + if((j-2)==Tage[ij]) { /* Bug valgrind */ + fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); + /* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); */ + ij++; + } + } + else + fprintf(ficgp,"+p%d*%d",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); } - fprintf(ficgp,")/(1"); + if(ng != 1){ + fprintf(ficgp,")/(1"); - for(k1=1; k1 <=nlstate; k1++){ - fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1); - ij=1; - for(j=3; j <=ncovmodel; j++){ - /* if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { */ - /* fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]); */ - /* ij++; */ - /* } */ - /* else */ - fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]); + for(k1=1; k1 <=nlstate; k1++){ + if(nagesqr==0) + 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 */ + if((j-2)==Tage[ij]) { /* Bug valgrind */ + fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); + /* fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); */ + ij++; + } + } + else + fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); + } + fprintf(ficgp,")"); } 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 */ + fprintf(ficgp," t \"logit(p%d%d)\" ", k2,k); } - fprintf(ficgp,") t \"p%d%d\" ", k2,k); if ((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: */ @@ -4485,8 +5242,8 @@ void prevforecast(char fileres[], double agelim=AGESUP; prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); - 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); @@ -4535,7 +5292,7 @@ void prevforecast(char fileres[], double k=k+1; fprintf(ficresf,"\n#******"); for(j=1;j<=cptcoveff;j++) { - fprintf(ficresf," V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); + fprintf(ficresf," 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,"******\n"); fprintf(ficresf,"# Covariate valuofcovar yearproj age"); @@ -4559,7 +5316,7 @@ void prevforecast(char fileres[], double if (h*hstepm/YEARM*stepm ==yearp) { fprintf(ficresf,"\n"); for(j=1;j<=cptcoveff;j++) - fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][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++) { @@ -4609,8 +5366,8 @@ 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); @@ -4657,7 +5414,7 @@ void populforecast(char fileres[], doubl k=k+1; fprintf(ficrespop,"\n#******"); for(j=1;j<=cptcoveff;j++) { - fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); + fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); } fprintf(ficrespop,"******\n"); fprintf(ficrespop,"# Age"); @@ -4963,7 +5720,7 @@ 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; @@ -4972,7 +5729,7 @@ void printinghtmlmort(char fileres[], ch fprintf(fichtm," mu(age) =%lf*exp(%lf*(age-%d)) per year

        ",p[1],p[2],agegomp); for (i=1;i<=2;i++) fprintf(fichtm," p[%d] = %lf [%f ; %f]
        \n",i,p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i])); - fprintf(fichtm,"

        "); + fprintf(fichtm,"

        "); fprintf(fichtm,"
      "); fprintf(fichtm,"

      • Life table

        \n
        "); @@ -4987,7 +5744,7 @@ fprintf(fichtm,"

        • Life table1){ /* If there is at least 1 covariate */ j=0, j1=0, k1=0, k2=-1, ks=0, cptcovn=0; - j=nbocc(model,'+'); /**< j=Number of '+' */ - j1=nbocc(model,'*'); /**< j1=Number of '*' */ - cptcovs=j+1-j1; /**< Number of simple covariates V1+V2*age+V3 +V3*V4=> V1 + V3 =2 */ - cptcovt= j+1; /* Number of total covariates in the model V1 + V2*age+ V3 + V3*V4=> 4*/ - /* including age products which are counted in cptcovage. - * but the covariates which are products must be treated separately: ncovn=4- 2=2 (V1+V3). */ - cptcovprod=j1; /**< Number of products V1*V2 +v3*age = 2 */ - cptcovprodnoage=0; /**< Number of covariate products without age: V3*V4 =1 */ - strcpy(modelsav,model); if (strstr(model,"AGE") !=0){ - printf("Error. AGE must be in lower case 'age' model=%s ",model); - fprintf(ficlog,"Error. AGE must be in lower case model=%s ",model);fflush(ficlog); + printf("Error. AGE must be in lower case 'age' model=1+age+%s. ",model); + fprintf(ficlog,"Error. AGE must be in lower case model=1+age+%s. ",model);fflush(ficlog); return 1; } if (strstr(model,"v") !=0){ @@ -5242,117 +5992,153 @@ int decodemodel ( char model[], int last fprintf(ficlog,"Error. 'v' must be in upper case model=%s ",model);fflush(ficlog); return 1; } - - /* Design - * V1 V2 V3 V4 V5 V6 V7 V8 V9 Weight - * < ncovcol=8 > - * Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8 - * k= 1 2 3 4 5 6 7 8 - * cptcovn number of covariates (not including constant and age ) = # of + plus 1 = 7+1=8 - * covar[k,i], value of kth covariate if not including age for individual i: - * covar[1][i]= (V2), covar[4][i]=(V3), covar[8][i]=(V8) - * Tvar[k] # of the kth covariate: Tvar[1]=2 Tvar[4]=3 Tvar[8]=8 - * if multiplied by age: V3*age Tvar[3=V3*age]=3 (V3) Tvar[7]=8 and - * Tage[++cptcovage]=k - * if products, new covar are created after ncovcol with k1 - * Tvar[k]=ncovcol+k1; # of the kth covariate product: Tvar[5]=ncovcol+1=10 Tvar[6]=ncovcol+1=11 - * Tprod[k1]=k; Tprod[1]=5 Tprod[2]= 6; gives the position of the k1th product - * Tvard[k1][1]=m Tvard[k1][2]=m; Tvard[1][1]=5 (V5) Tvard[1][2]=6 Tvard[2][1]=7 (V7) Tvard[2][2]=8 - * Tvar[cptcovn+k2]=Tvard[k1][1];Tvar[cptcovn+k2+1]=Tvard[k1][2]; - * Tvar[8+1]=5;Tvar[8+2]=6;Tvar[8+3]=7;Tvar[8+4]=8 inverted - * V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 - * < ncovcol=8 > - * Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8 d1 d1 d2 d2 - * k= 1 2 3 4 5 6 7 8 9 10 11 12 - * Tvar[k]= 2 1 3 3 10 11 8 8 5 6 7 8 - * p Tvar[1]@12={2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6} - * p Tprod[1]@2={ 6, 5} - *p Tvard[1][1]@4= {7, 8, 5, 6} - * covar[k][i]= V2 V1 ? V3 V5*V6? V7*V8? ? V8 - * cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2]; - *How to reorganize? - * Model V1 + V2 + V3 + V8 + V5*V6 + V7*V8 + V3*age + V8*age - * Tvars {2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6} - * {2, 1, 4, 8, 5, 6, 3, 7} - * Struct [] - */ + strcpy(modelsav,model); + if ((strpt=strstr(model,"age*age")) !=0){ + printf(" strpt=%s, model=%s\n",strpt, model); + if(strpt != model){ + printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ + 'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ + corresponding column of parameters.\n",model); + fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ + 'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ + corresponding column of parameters.\n",model); fflush(ficlog); + return 1; + } - /* This loop fills the array Tvar from the string 'model'.*/ - /* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */ - /* modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4 */ - /* k=4 (age*V3) Tvar[k=4]= 3 (from V3) Tage[cptcovage=1]=4 */ - /* k=3 V4 Tvar[k=3]= 4 (from V4) */ - /* k=2 V1 Tvar[k=2]= 1 (from V1) */ - /* k=1 Tvar[1]=2 (from V2) */ - /* k=5 Tvar[5] */ - /* for (k=1; k<=cptcovn;k++) { */ - /* cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; */ - /* } */ - /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ - /* - * Treating invertedly V2+V1+V3*age+V2*V4 is as if written V2*V4 +V3*age + V1 + V2 */ - for(k=cptcovt; k>=1;k--) /**< Number of covariates */ + nagesqr=1; + if (strstr(model,"+age*age") !=0) + substrchaine(modelsav, model, "+age*age"); + else if (strstr(model,"age*age+") !=0) + substrchaine(modelsav, model, "age*age+"); + else + substrchaine(modelsav, model, "age*age"); + }else + nagesqr=0; + if (strlen(modelsav) >1){ + j=nbocc(modelsav,'+'); /**< j=Number of '+' */ + j1=nbocc(modelsav,'*'); /**< j1=Number of '*' */ + cptcovs=j+1-j1; /**< Number of simple covariates V1+V1*age+V3 +V3*V4+age*age=> V1 + V3 =2 */ + cptcovt= j+1; /* Number of total covariates in the model, not including + * cst, age and age*age + * V1+V1*age+ V3 + V3*V4+age*age=> 4*/ + /* including age products which are counted in cptcovage. + * but the covariates which are products must be treated + * separately: ncovn=4- 2=2 (V1+V3). */ + cptcovprod=j1; /**< Number of products V1*V2 +v3*age = 2 */ + cptcovprodnoage=0; /**< Number of covariate products without age: V3*V4 =1 */ + + + /* Design + * V1 V2 V3 V4 V5 V6 V7 V8 V9 Weight + * < ncovcol=8 > + * Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8 + * k= 1 2 3 4 5 6 7 8 + * cptcovn number of covariates (not including constant and age ) = # of + plus 1 = 7+1=8 + * covar[k,i], value of kth covariate if not including age for individual i: + * covar[1][i]= (V2), covar[4][i]=(V3), covar[8][i]=(V8) + * Tvar[k] # of the kth covariate: Tvar[1]=2 Tvar[4]=3 Tvar[8]=8 + * if multiplied by age: V3*age Tvar[3=V3*age]=3 (V3) Tvar[7]=8 and + * Tage[++cptcovage]=k + * if products, new covar are created after ncovcol with k1 + * Tvar[k]=ncovcol+k1; # of the kth covariate product: Tvar[5]=ncovcol+1=10 Tvar[6]=ncovcol+1=11 + * Tprod[k1]=k; Tprod[1]=5 Tprod[2]= 6; gives the position of the k1th product + * Tvard[k1][1]=m Tvard[k1][2]=m; Tvard[1][1]=5 (V5) Tvard[1][2]=6 Tvard[2][1]=7 (V7) Tvard[2][2]=8 + * Tvar[cptcovn+k2]=Tvard[k1][1];Tvar[cptcovn+k2+1]=Tvard[k1][2]; + * Tvar[8+1]=5;Tvar[8+2]=6;Tvar[8+3]=7;Tvar[8+4]=8 inverted + * V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 + * < ncovcol=8 > + * Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8 d1 d1 d2 d2 + * k= 1 2 3 4 5 6 7 8 9 10 11 12 + * Tvar[k]= 2 1 3 3 10 11 8 8 5 6 7 8 + * p Tvar[1]@12={2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6} + * p Tprod[1]@2={ 6, 5} + *p Tvard[1][1]@4= {7, 8, 5, 6} + * covar[k][i]= V2 V1 ? V3 V5*V6? V7*V8? ? V8 + * cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2]; + *How to reorganize? + * Model V1 + V2 + V3 + V8 + V5*V6 + V7*V8 + V3*age + V8*age + * Tvars {2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6} + * {2, 1, 4, 8, 5, 6, 3, 7} + * Struct [] + */ + + /* This loop fills the array Tvar from the string 'model'.*/ + /* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */ + /* modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4 */ + /* k=4 (age*V3) Tvar[k=4]= 3 (from V3) Tage[cptcovage=1]=4 */ + /* k=3 V4 Tvar[k=3]= 4 (from V4) */ + /* k=2 V1 Tvar[k=2]= 1 (from V1) */ + /* k=1 Tvar[1]=2 (from V2) */ + /* k=5 Tvar[5] */ + /* for (k=1; k<=cptcovn;k++) { */ + /* cov[2+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */ + /* } */ + /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k])]]*cov[2]; */ + /* + * Treating invertedly V2+V1+V3*age+V2*V4 is as if written V2*V4 +V3*age + V1 + V2 */ + for(k=cptcovt; k>=1;k--) /**< Number of covariates */ Tvar[k]=0; - cptcovage=0; - for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */ - cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+' - modelsav==V2+V1+V4+V3*age strb=V3*age stra=V2+V1+V4 */ - if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */ - /* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/ - /*scanf("%d",i);*/ - if (strchr(strb,'*')) { /**< Model includes a product V2+V1+V4+V3*age strb=V3*age */ - cutl(strc,strd,strb,'*'); /**< strd*strc Vm*Vn: strb=V3*age(input) strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */ - if (strcmp(strc,"age")==0) { /**< Model includes age: Vn*age */ - /* covar is not filled and then is empty */ - cptcovprod--; - cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */ - Tvar[k]=atoi(stre); /* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2 */ - cptcovage++; /* Sums the number of covariates which include age as a product */ - Tage[cptcovage]=k; /* Tage[1] = 4 */ - /*printf("stre=%s ", stre);*/ - } else if (strcmp(strd,"age")==0) { /* or age*Vn */ - cptcovprod--; - cutl(stre,strb,strc,'V'); - Tvar[k]=atoi(stre); - cptcovage++; - Tage[cptcovage]=k; - } else { /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2 strb=V3*V2*/ - /* loops on k1=1 (V3*V2) and k1=2 V4*V3 */ + cptcovage=0; + for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */ + cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+' + modelsav==V2+V1+V4+V3*age strb=V3*age stra=V2+V1+V4 */ + if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */ + /* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/ + /*scanf("%d",i);*/ + if (strchr(strb,'*')) { /**< Model includes a product V2+V1+V4+V3*age strb=V3*age */ + cutl(strc,strd,strb,'*'); /**< strd*strc Vm*Vn: strb=V3*age(input) strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */ + if (strcmp(strc,"age")==0) { /**< Model includes age: Vn*age */ + /* covar is not filled and then is empty */ + cptcovprod--; + cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */ + Tvar[k]=atoi(stre); /* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1 */ + cptcovage++; /* Sums the number of covariates which include age as a product */ + Tage[cptcovage]=k; /* Tvar[4]=3, Tage[1] = 4 or V1+V1*age Tvar[2]=1, Tage[1]=2 */ + /*printf("stre=%s ", stre);*/ + } else if (strcmp(strd,"age")==0) { /* or age*Vn */ + cptcovprod--; + cutl(stre,strb,strc,'V'); + Tvar[k]=atoi(stre); + cptcovage++; + Tage[cptcovage]=k; + } else { /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2 strb=V3*V2*/ + /* loops on k1=1 (V3*V2) and k1=2 V4*V3 */ + cptcovn++; + cptcovprodnoage++;k1++; + cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ + Tvar[k]=ncovcol+k1; /* For model-covariate k tells which data-covariate to use but + because this model-covariate is a construction we invent a new column + ncovcol + k1 + If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2 + Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */ + cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ + Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 */ + Tvard[k1][1] =atoi(strc); /* m 1 for V1*/ + Tvard[k1][2] =atoi(stre); /* n 4 for V4*/ + k2=k2+2; + Tvar[cptcovt+k2]=Tvard[k1][1]; /* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) */ + Tvar[cptcovt+k2+1]=Tvard[k1][2]; /* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) */ + for (i=1; i<=lastobs;i++){ + /* Computes the new covariate which is a product of + covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */ + covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i]; + } + } /* End age is not in the model */ + } /* End if model includes a product */ + else { /* no more sum */ + /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/ + /* scanf("%d",i);*/ + cutl(strd,strc,strb,'V'); + ks++; /**< Number of simple covariates */ cptcovn++; - cptcovprodnoage++;k1++; - cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ - Tvar[k]=ncovcol+k1; /* For model-covariate k tells which data-covariate to use but - because this model-covariate is a construction we invent a new column - ncovcol + k1 - If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2 - Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */ - cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ - Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 */ - Tvard[k1][1] =atoi(strc); /* m 1 for V1*/ - Tvard[k1][2] =atoi(stre); /* n 4 for V4*/ - k2=k2+2; - Tvar[cptcovt+k2]=Tvard[k1][1]; /* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) */ - Tvar[cptcovt+k2+1]=Tvard[k1][2]; /* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) */ - for (i=1; i<=lastobs;i++){ - /* Computes the new covariate which is a product of - covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */ - covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i]; - } - } /* End age is not in the model */ - } /* End if model includes a product */ - else { /* no more sum */ - /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/ - /* scanf("%d",i);*/ - cutl(strd,strc,strb,'V'); - ks++; /**< Number of simple covariates */ - cptcovn++; - Tvar[k]=atoi(strd); - } - strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */ - /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav); - scanf("%d",i);*/ - } /* end of loop + */ - } /* end model */ + Tvar[k]=atoi(strd); + } + strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */ + /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav); + scanf("%d",i);*/ + } /* end of loop + on total covariates */ + } /* end if strlen(modelsave == 0) age*age might exist */ + } /* end if strlen(model == 0) */ /*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products. If model=V1+V1*age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0*/ @@ -5504,60 +6290,102 @@ BOOL IsWow64() return bIsWow64 != FALSE; } #endif -void syscompilerinfo() + +void syscompilerinfo(int logged) { /* #include "syscompilerinfo.h"*/ -#if defined(__GNUC__) + /* command line Intel compiler 32bit windows, XP compatible:*/ + /* /GS /W3 /Gy + /Zc:wchar_t /Zi /O2 /Fd"Release\vc120.pdb" /D "WIN32" /D "NDEBUG" /D + "_CONSOLE" /D "_LIB" /D "_USING_V110_SDK71_" /D "_UNICODE" /D + "UNICODE" /Qipo /Zc:forScope /Gd /Oi /MT /Fa"Release\" /EHsc /nologo + /Fo"Release\" /Qprof-dir "Release\" /Fp"Release\IMaCh.pch" + */ + /* 64 bits */ + /* + /GS /W3 /Gy + /Zc:wchar_t /Zi /O2 /Fd"x64\Release\vc120.pdb" /D "WIN32" /D "NDEBUG" + /D "_CONSOLE" /D "_LIB" /D "_UNICODE" /D "UNICODE" /Qipo /Zc:forScope + /Oi /MD /Fa"x64\Release\" /EHsc /nologo /Fo"x64\Release\" /Qprof-dir + "x64\Release\" /Fp"x64\Release\IMaCh.pch" */ + /* Optimization are useless and O3 is slower than O2 */ + /* + /GS /W3 /Gy /Zc:wchar_t /Zi /O3 /Fd"x64\Release\vc120.pdb" /D "WIN32" + /D "NDEBUG" /D "_CONSOLE" /D "_LIB" /D "_UNICODE" /D "UNICODE" /Qipo + /Zc:forScope /Oi /MD /Fa"x64\Release\" /EHsc /nologo /Qparallel + /Fo"x64\Release\" /Qprof-dir "x64\Release\" /Fp"x64\Release\IMaCh.pch" + */ + /* Link is */ /* /OUT:"visual studio + 2013\Projects\IMaCh\Release\IMaCh.exe" /MANIFEST /NXCOMPAT + /PDB:"visual studio + 2013\Projects\IMaCh\Release\IMaCh.pdb" /DYNAMICBASE + "kernel32.lib" "user32.lib" "gdi32.lib" "winspool.lib" + "comdlg32.lib" "advapi32.lib" "shell32.lib" "ole32.lib" + "oleaut32.lib" "uuid.lib" "odbc32.lib" "odbccp32.lib" + /MACHINE:X86 /OPT:REF /SAFESEH /INCREMENTAL:NO + /SUBSYSTEM:CONSOLE",5.01" /MANIFESTUAC:"level='asInvoker' + uiAccess='false'" + /ManifestFile:"Release\IMaCh.exe.intermediate.manifest" /OPT:ICF + /NOLOGO /TLBID:1 + */ +#if defined __INTEL_COMPILER +#if defined(__GNUC__) + struct utsname sysInfo; /* For Intel on Linux and OS/X */ +#endif +#elif defined(__GNUC__) +#ifndef __APPLE__ #include /* Only on gnu */ -struct utsname sysInfo; #endif - -#include + struct utsname sysInfo; int cross = CROSS; if (cross){ - printf("Cross-"); - fprintf(ficlog,"Cross-"); + printf("Cross-"); + if(logged) fprintf(ficlog, "Cross-"); } - printf("Compiled with:");fprintf(ficlog,"Compiled with:"); +#endif + +#include + + printf("Compiled with:");if(logged)fprintf(ficlog,"Compiled with:"); #if defined(__clang__) - printf(" Clang/LLVM");fprintf(ficlog," Clang/LLVM"); /* Clang/LLVM. ---------------------------------------------- */ + printf(" Clang/LLVM");if(logged)fprintf(ficlog," Clang/LLVM"); /* Clang/LLVM. ---------------------------------------------- */ #endif #if defined(__ICC) || defined(__INTEL_COMPILER) - printf(" Intel ICC/ICPC");fprintf(ficlog," Intel ICC/ICPC");/* Intel ICC/ICPC. ------------------------------------------ */ + printf(" Intel ICC/ICPC");if(logged)fprintf(ficlog," Intel ICC/ICPC");/* Intel ICC/ICPC. ------------------------------------------ */ #endif #if defined(__GNUC__) || defined(__GNUG__) - printf(" GNU GCC/G++");fprintf(ficlog," GNU GCC/G++");/* GNU GCC/G++. --------------------------------------------- */ + printf(" GNU GCC/G++");if(logged)fprintf(ficlog," GNU GCC/G++");/* GNU GCC/G++. --------------------------------------------- */ #endif #if defined(__HP_cc) || defined(__HP_aCC) - printf(" Hewlett-Packard C/aC++");fprintf(fcilog," Hewlett-Packard C/aC++"); /* Hewlett-Packard C/aC++. ---------------------------------- */ + printf(" Hewlett-Packard C/aC++");if(logged)fprintf(fcilog," Hewlett-Packard C/aC++"); /* Hewlett-Packard C/aC++. ---------------------------------- */ #endif #if defined(__IBMC__) || defined(__IBMCPP__) - printf(" IBM XL C/C++"); fprintf(ficlog," IBM XL C/C++");/* IBM XL C/C++. -------------------------------------------- */ + printf(" IBM XL C/C++"); if(logged) fprintf(ficlog," IBM XL C/C++");/* IBM XL C/C++. -------------------------------------------- */ #endif #if defined(_MSC_VER) - printf(" Microsoft Visual Studio");fprintf(ficlog," Microsoft Visual Studio");/* Microsoft Visual Studio. --------------------------------- */ + printf(" Microsoft Visual Studio");if(logged)fprintf(ficlog," Microsoft Visual Studio");/* Microsoft Visual Studio. --------------------------------- */ #endif #if defined(__PGI) - printf(" Portland Group PGCC/PGCPP");fprintf(ficlog," Portland Group PGCC/PGCPP");/* Portland Group PGCC/PGCPP. ------------------------------- */ + printf(" Portland Group PGCC/PGCPP");if(logged) fprintf(ficlog," Portland Group PGCC/PGCPP");/* Portland Group PGCC/PGCPP. ------------------------------- */ #endif #if defined(__SUNPRO_C) || defined(__SUNPRO_CC) - printf(" Oracle Solaris Studio");fprintf(ficlog," Oracle Solaris Studio\n");/* Oracle Solaris Studio. ----------------------------------- */ + printf(" Oracle Solaris Studio");if(logged)fprintf(ficlog," Oracle Solaris Studio\n");/* Oracle Solaris Studio. ----------------------------------- */ #endif - printf(" for ");fprintf(ficlog," for "); + printf(" for "); if (logged) fprintf(ficlog, " for "); // http://stackoverflow.com/questions/4605842/how-to-identify-platform-compiler-from-preprocessor-macros #ifdef _WIN32 // note the underscore: without it, it's not msdn official! // Windows (x64 and x86) - printf("Windows (x64 and x86) ");fprintf(ficlog,"Windows (x64 and x86) "); + printf("Windows (x64 and x86) ");if(logged) fprintf(ficlog,"Windows (x64 and x86) "); #elif __unix__ // all unices, not all compilers // Unix - printf("Unix ");fprintf(ficlog,"Unix "); + printf("Unix ");if(logged) fprintf(ficlog,"Unix "); #elif __linux__ // linux - printf("linux ");fprintf(ficlog,"linux "); + printf("linux ");if(logged) fprintf(ficlog,"linux "); #elif __APPLE__ // Mac OS, not sure if this is covered by __posix__ and/or __unix__ though.. - printf("Mac OS ");fprintf(ficlog,"Mac OS "); + printf("Mac OS ");if(logged) fprintf(ficlog,"Mac OS "); #endif /* __MINGW32__ */ @@ -5571,11 +6399,11 @@ struct utsname sysInfo; /* _DEBUG // Defined when you compile with /LDd, /MDd, and /MTd. */ #if UINTPTR_MAX == 0xffffffff - printf(" 32-bit"); fprintf(ficlog," 32-bit");/* 32-bit */ + printf(" 32-bit"); if(logged) fprintf(ficlog," 32-bit");/* 32-bit */ #elif UINTPTR_MAX == 0xffffffffffffffff - printf(" 64-bit"); fprintf(ficlog," 64-bit");/* 64-bit */ + printf(" 64-bit"); if(logged) fprintf(ficlog," 64-bit");/* 64-bit */ #else - printf(" wtf-bit"); fprintf(ficlog," wtf-bit");/* wtf */ + printf(" wtf-bit"); if(logged) fprintf(ficlog," wtf-bit");/* wtf */ #endif #if defined(__GNUC__) @@ -5588,29 +6416,31 @@ struct utsname sysInfo; + __GNUC_MINOR__ * 100) # endif printf(" using GNU C version %d.\n", __GNUC_VERSION__); - fprintf(ficlog, " using GNU C version %d.\n", __GNUC_VERSION__); + if(logged) fprintf(ficlog, " using GNU C version %d.\n", __GNUC_VERSION__); if (uname(&sysInfo) != -1) { printf("Running on: %s %s %s %s %s\n",sysInfo.sysname, sysInfo.nodename, sysInfo.release, sysInfo.version, sysInfo.machine); - fprintf(ficlog,"Running on: %s %s %s %s %s\n ",sysInfo.sysname, sysInfo.nodename, sysInfo.release, sysInfo.version, sysInfo.machine); + if(logged) fprintf(ficlog,"Running on: %s %s %s %s %s\n ",sysInfo.sysname, sysInfo.nodename, sysInfo.release, sysInfo.version, sysInfo.machine); } else perror("uname() error"); + //#ifndef __INTEL_COMPILER +#if !defined (__INTEL_COMPILER) && !defined(__APPLE__) printf("GNU libc version: %s\n", gnu_get_libc_version()); - fprintf(ficlog,"GNU libc version: %s\n", gnu_get_libc_version()); - + if(logged) fprintf(ficlog,"GNU libc version: %s\n", gnu_get_libc_version()); +#endif #endif // void main() // { #if defined(_MSC_VER) if (IsWow64()){ - printf("The program (probably compiled for 32bit) is running under WOW64 (64bit) emulation.\n"); - fprintf(ficlog, "The program (probably compiled for 32bit) is running under WOW64 (64bit) emulation.\n"); + printf("\nThe program (probably compiled for 32bit) is running under WOW64 (64bit) emulation.\n"); + if (logged) fprintf(ficlog, "\nThe program (probably compiled for 32bit) is running under WOW64 (64bit) emulation.\n"); } else{ - printf("The process is not running under WOW64 (i.e probably on a 64bit Windows).\n"); - frintf(ficlog,"The programm is not running under WOW64 (i.e probably on a 64bit Windows).\n"); + printf("\nThe program is not running under WOW64 (i.e probably on a 64bit Windows).\n"); + if (logged) fprintf(ficlog, "\nThe programm is not running under WOW64 (i.e probably on a 64bit Windows).\n"); } // printf("\nPress Enter to continue..."); // getchar(); @@ -5621,6 +6451,149 @@ struct utsname sysInfo; } + int prevalence_limit(double *p, double **prlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyear){ + /*--------------- Prevalence limit (period or stable prevalence) --------------*/ + int i, j, k, i1 ; + /* double ftolpl = 1.e-10; */ + double age, agebase, agelim; + double tot; + + 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 */ + + agebase=ageminpar; + agelim=agemaxpar; + + i1=pow(2,cptcoveff); + if (cptcovn < 1){i1=1;} + + 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,"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, ncvyear, 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, *ncvyear); + } /* Age */ + /* was end of cptcod */ + } /* cptcov */ + return 0; +} + +int hPijx(double *p, int bage, int fage){ + /*------------- h Pij x at various ages ------------*/ + + int stepsize; + int agelim; + int hstepm; + int nhstepm; + int h, i, i1, j, k; + + double agedeb; + double ***p3mat; + + 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; + } + printf("Computing pij: result on file '%s' \n", filerespij); + fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij); + + stepsize=(int) (stepm+YEARM-1)/YEARM; + /*if (stepm<=24) stepsize=2;*/ + + agelim=AGESUP; + hstepm=stepsize*YEARM; /* Every year of age */ + hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */ + + /* hstepm=1; aff par mois*/ + pstamp(ficrespij); + fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x "); + 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(ficrespij,"\n#****** "); + for(j=1;j<=cptcoveff;j++) + fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficrespij,"******\n"); + + for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */ + nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ + nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */ + + /* nhstepm=nhstepm*YEARM; aff par mois*/ + + p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + oldm=oldms;savm=savms; + hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); + fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j="); + for(i=1; i<=nlstate;i++) + for(j=1; j<=nlstate+ndeath;j++) + fprintf(ficrespij," %1d-%1d",i,j); + fprintf(ficrespij,"\n"); + for (h=0; h<=nhstepm; h++){ + /*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/ + fprintf(ficrespij,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); + for(i=1; i<=nlstate;i++) + for(j=1; j<=nlstate+ndeath;j++) + fprintf(ficrespij," %.5f", p3mat[i][j][h]); + fprintf(ficrespij,"\n"); + } + free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + fprintf(ficrespij,"\n"); + } + /*}*/ + } + return 0; +} + + /***********************************************/ /**************** Main Program *****************/ /***********************************************/ @@ -5636,9 +6609,11 @@ 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 ncvyearnp=0; + int *ncvyear=&ncvyearnp; /* 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; int itimes; int NDIM=2; int vpopbased=0; @@ -5647,37 +6622,43 @@ int main(int argc, char *argv[]) /* FILE *fichtm; *//* Html File */ /* FILE *ficgp;*/ /*Gnuplot File */ struct stat info; - double agedeb; - double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20; + double agedeb=0.; + + double ageminpar=AGEOVERFLOW,agemin=AGEOVERFLOW, agemaxpar=-AGEOVERFLOW, agemax=-AGEOVERFLOW; double fret; - double dum; /* Dummy variable */ + double dum=0.; /* Dummy variable */ double ***p3mat; double ***mobaverage; char line[MAXLINE]; - char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE],model[MAXLINE]; + char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE]; + + char model[MAXLINE], modeltemp[MAXLINE]; char pathr[MAXLINE], pathimach[MAXLINE]; char *tok, *val; /* pathtot */ int firstobs=1, lastobs=10; - int c, h , cpt; - int jl; - int i1, j1, jk, stepsize; + int c, h , cpt, c2; + int jl=0; + int i1, j1, jk, stepsize=0; + int count=0; + int *tab; int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */ int mobilav=0,popforecast=0; - int hstepm, nhstepm; + int hstepm=0, nhstepm=0; int agemortsup; float sumlpop=0.; double jprev1=1, mprev1=1,anprev1=2000,jprev2=1, mprev2=1,anprev2=2000; double jpyram=1, mpyram=1,anpyram=2000,jpyram1=1, mpyram1=1,anpyram1=2000; - double bage=0, fage=110, age, agelim, agebase; + double bage=0, fage=110., age, agelim=0., agebase=0.; double ftolpl=FTOL; double **prlim; 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; @@ -5728,9 +6709,13 @@ int main(int argc, char *argv[]) nberr=0; /* Number of errors and warnings */ nbwarn=0; +#ifdef WIN32 + _getcwd(pathcd, size); +#else getcwd(pathcd, size); - - printf("\n%s\n%s",version,fullversion); +#endif + syscompilerinfo(0); + printf("\nIMaCh version %s, %s\n%s",version, copyright, fullversion); if(argc <=1){ printf("\nEnter the parameter file name: "); fgets(pathr,FILENAMELENGTH,stdin); @@ -5764,9 +6749,14 @@ int main(int argc, char *argv[]) /* Split argv[1]=pathtot, parameter file name to get path, optionfile, extension and name */ split(pathtot,path,optionfile,optionfilext,optionfilefiname); printf("\npathtot=%s,\npath=%s,\noptionfile=%s \noptionfilext=%s \noptionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname); +#ifdef WIN32 + _chdir(path); /* Can be a relative path */ + if(_getcwd(pathcd,MAXLINE) > 0) /* So pathcd is the full path */ +#else chdir(path); /* Can be a relative path */ - if(getcwd(pathcd,MAXLINE) > 0) /* So pathcd is the full path */ - printf("Current directory %s!\n",pathcd); + if (getcwd(pathcd, MAXLINE) > 0) /* So pathcd is the full path */ +#endif + printf("Current directory %s!\n",pathcd); strcpy(command,"mkdir "); strcat(command,optionfilefiname); if((outcmd=system(command)) != 0){ @@ -5781,7 +6771,7 @@ int main(int argc, char *argv[]) /*-------- arguments in the command line --------*/ - /* Log file */ + /* Main Log file */ strcat(filelog, optionfilefiname); strcat(filelog,".log"); /* */ if((ficlog=fopen(filelog,"w"))==NULL) { @@ -5789,7 +6779,7 @@ int main(int argc, char *argv[]) goto end; } fprintf(ficlog,"Log filename:%s\n",filelog); - fprintf(ficlog,"\n%s\n%s",version,fullversion); + fprintf(ficlog,"Version %s %s",version,fullversion); fprintf(ficlog,"\nEnter the parameter file name: \n"); fprintf(ficlog,"pathimach=%s\npathtot=%s\n\ path=%s \n\ @@ -5797,7 +6787,7 @@ int main(int argc, char *argv[]) optionfilext=%s\n\ optionfilefiname='%s'\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname); - syscompilerinfo(); + syscompilerinfo(1); printf("Local time (at start):%s",strstart); fprintf(ficlog,"Local time (at start): %s",strstart); @@ -5808,9 +6798,11 @@ 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 */ - /*---------arguments file --------*/ + /* Main ---------arguments file --------*/ if((ficpar=fopen(optionfile,"r"))==NULL) { printf("Problem with optionfile '%s' with errno='%s'\n",optionfile,strerror(errno)); @@ -5823,7 +6815,7 @@ 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); @@ -5833,26 +6825,103 @@ int main(int argc, char *argv[]) /* Reads comments: lines beginning with '#' */ numlinepar=0; - while((c=getc(ficpar))=='#' && c!= EOF){ - ungetc(c,ficpar); - fgets(line, MAXLINE, ficpar); + + /* First parameter line */ + 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; + } + if((num_filled=sscanf(line,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", \ + title, datafile, &lastobs, &firstpass,&lastpass)) !=EOF){ + if (num_filled != 5) { + printf("Should be 5 parameters\n"); + } numlinepar++; - fputs(line,stdout); - fputs(line,ficparo); - fputs(line,ficlog); + printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", title, datafile, lastobs, firstpass,lastpass); } - ungetc(c,ficpar); - - fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model); - numlinepar++; - printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model); - fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model); - 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=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model); + /* Second parameter line */ + 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; + } + 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("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-3; /* 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 */ + if (line[0] == '#') { + numlinepar++; + fputs(line,stdout); + fputs(line,ficparo); + fputs(line,ficlog); + continue; + }else + break; + } + 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'; + goto end; + } + else{ + if (model[0]=='+'){ + for(i=1; i<=strlen(model);i++) + modeltemp[i-1]=model[i]; + 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); */ + 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]=='#'){ + printf("Error in 'model' line: model should start with 'model=1+age+' and end with '.' \n \ + 'model=1+age+.' or 'model=1+age+V1.' or 'model=1+age+age*age+V1+V1*age.' or \n \ + 'model=1+age+V1+V2.' or 'model=1+age+V1+V2+V1*V2.' etc. \n"); \ + if(mle != -1){ + printf("Fix the model line and run imach with mle=-1 to get a correct template of the parameter file.\n"); + exit(1); + } + } while((c=getc(ficpar))=='#' && c!= EOF){ ungetc(c,ficpar); fgets(line, MAXLINE, ficpar); numlinepar++; + if(line[1]=='q'){ /* This #q will quit imach (the answer is q) */ + z[0]=line[1]; + } + /* printf("****line [1] = %c \n",line[1]); */ fputs(line, stdout); //puts(line); fputs(line,ficparo); @@ -5867,10 +6936,9 @@ int main(int argc, char *argv[]) v1+v2*age+v2*v3 makes cptcovn = 3 */ if (strlen(model)>1) - ncovmodel=2+nbocc(model,'+')+1; /*Number of variables including intercept and age = cptcovn + intercept + age : v1+v2+v3+v2*v4+v5*age makes 5+2=7*/ + ncovmodel=2+nbocc(model,'+')+1; /*Number of variables including intercept and age = cptcovn + intercept + age : v1+v2+v3+v2*v4+v5*age makes 5+2=7,age*age makes 3*/ else - ncovmodel=2; - nvar=ncovmodel-1; /* Suppressing age as a basic covariate */ + ncovmodel=2; /* Constant and age */ nforce= (nlstate+ndeath-1)*nlstate; /* Number of forces ij from state i to j */ npar= nforce*ncovmodel; /* Number of parameters like aij*/ if(npar >MAXPARM || nlstate >NLSTATEMAX || ndeath >NDEATHMAX || ncovmodel>NCOVMAX){ @@ -5885,20 +6953,21 @@ int main(int argc, char *argv[]) /*delti=vector(1,npar); *//* Scale of each paramater (output from hesscov)*/ if(mle==-1){ /* Print a wizard for help writing covariance matrix */ prwizard(ncovmodel, nlstate, ndeath, model, ficparo); - printf(" You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso); - fprintf(ficlog," You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso); + printf(" You chose mle=-1, look at file %s for a template of covariance matrix \n",filereso); + fprintf(ficlog," You chose mle=-1, look at file %s for a template of covariance matrix \n",filereso); free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); fclose (ficparo); fclose (ficlog); goto end; exit(0); } - else if(mle==-3) { + else if(mle==-3) { /* Main Wizard */ prwizard(ncovmodel, nlstate, ndeath, model, ficparo); - printf(" You choose mle=-3, look at file %s for a template of covariance matrix \n",filereso); - fprintf(ficlog," You choose mle=-3, look at file %s for a template of covariance matrix \n",filereso); + 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); + hess=matrix(1,npar,1,npar); } else{ /* Read guessed parameters */ @@ -5920,7 +6989,7 @@ int main(int argc, char *argv[]) if(jj==i) continue; j++; fscanf(ficpar,"%1d%1d",&i1,&j1); - if ((i1 != i) && (j1 != j)){ + 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); @@ -5928,8 +6997,8 @@ run imach with mle=-1 to get a correct t } fprintf(ficparo,"%1d%1d",i1,j1); if(mle==1) - printf("%1d%1d",i,j); - fprintf(ficlog,"%1d%1d",i,j); + 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){ @@ -6007,15 +7076,26 @@ run imach with mle=-1 to get a correct t 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++){ - fscanf(ficpar,"%s",str); + 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\ +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\ +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("%s",str); - fprintf(ficlog,"%s",str); - fprintf(ficparo,"%s",str); + 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){ @@ -6031,6 +7111,7 @@ run imach with mle=-1 to get a correct t 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]; @@ -6047,13 +7128,14 @@ run imach with mle=-1 to get a correct t 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; num=lvector(1,n); moisnais=vector(1,n); @@ -6069,6 +7151,7 @@ run imach with mle=-1 to get a correct t s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */ tab=ivector(1,NCOVMAX); ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */ + ncodemaxwundef=ivector(1,NCOVMAX); /* Number of code per covariate; if - 1 O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */ /* Reads data from file datafile */ if (readdata(datafile, firstobs, lastobs, &imx)==1) @@ -6104,6 +7187,9 @@ run imach with mle=-1 to get a correct t Tage[1=V3*age]= 4; Tage[2=age*V4] = 3 */ +/* Main decodemodel */ + + if(decodemodel(model, lastobs) == 1) goto end; @@ -6147,11 +7233,15 @@ run imach with mle=-1 to get a correct t nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); ncodemax[1]=1; Ndum =ivector(-1,NCOVMAX); - if (ncovmodel > 2) + 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]; */ - - codtab=imatrix(1,100,1,10); /* codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) */ - /*printf(" codtab[1,1],codtab[100,10]=%d,%d\n", codtab[1][1],codtab[100][10]);*/ + /* Nbcode gives the value of the lth modality of jth covariate, in + V2+V1*age, there are 3 covariates Tvar[2]=1 (V1).*/ + /* 1 to ncodemax[j] is the maximum value of this jth covariate */ + + /* codtab=imatrix(1,100,1,10);*/ /* codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) */ + /*printf(" codtab[1,1],codtab[100,10]=%d,%d\n", codtab[1][1],codtabm(100,10));*/ + /* codtab gives the value 1 or 2 of the hth combination of k covariates (1 or 2).*/ h=0; @@ -6160,15 +7250,10 @@ run imach with mle=-1 to get a correct t m=pow(2,cptcoveff); - 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) k = codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) + 1 - * h 1 2 3 4 + * For k=4 covariates, h goes from 1 to 2**k + * codtabm(h,k)= 1 & (h-1) >> (k-1) ; + * h\k 1 2 3 4 *______________________________ * 1 i=1 1 i=1 1 i=1 1 i=1 1 * 2 2 1 1 1 @@ -6178,40 +7263,56 @@ run imach with mle=-1 to get a correct t * 6 2 1 2 1 * 7 i=4 1 2 2 1 * 8 2 2 2 1 - * 9 i=5 1 i=3 1 i=2 1 1 - * 10 2 1 1 1 - * 11 i=6 1 2 1 1 - * 12 2 2 1 1 - * 13 i=7 1 i=4 1 2 1 - * 14 2 1 2 1 - * 15 i=8 1 2 2 1 - * 16 2 2 2 1 + * 9 i=5 1 i=3 1 i=2 1 2 + * 10 2 1 1 2 + * 11 i=6 1 2 1 2 + * 12 2 2 1 2 + * 13 i=7 1 i=4 1 2 2 + * 14 2 1 2 2 + * 15 i=8 1 2 2 2 + * 16 2 2 2 2 */ - codtab[h][k]=j; - /*codtab[h][Tvar[k]]=j;*/ - printf("h=%d k=%d j=%d codtab[h][k]=%d Tvar[k]=%d codtab[h][Tvar[k]]=%d \n",h, k,j,codtab[h][k],Tvar[k],codtab[h][Tvar[k]]); - } - } - } - } + /* /\* 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);*/ + /* 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);*/ free_ivector(Ndum,-1,NCOVMAX); - /*------------ gnuplot -------------*/ + /* Initialisation of ----------- gnuplot -------------*/ strcpy(optionfilegnuplot,optionfilefiname); if(mle==-3) - strcat(optionfilegnuplot,"-mort"); + strcat(optionfilegnuplot,"-MORT_"); strcat(optionfilegnuplot,".gp"); if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) { @@ -6224,11 +7325,13 @@ run imach with mle=-1 to get a correct t fprintf(ficgp,"set datafile missing 'NaNq'\n"); } /* fclose(ficgp);*/ - /*--------- index.htm --------*/ + + + /* Initialisation of --------- index.htm --------*/ 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); @@ -6266,7 +7369,12 @@ Title=%s
          Datafile=%s Firstpass=%d La strcpy(pathr,path); strcat(pathr,optionfilefiname); +#ifdef WIN32 + _chdir(optionfilefiname); /* Move to directory named optionfile */ +#else chdir(optionfilefiname); /* Move to directory named optionfile */ +#endif + /* Calculates basic frequencies. Computes observed prevalence at single age and prints on file fileres'p'. */ @@ -6289,10 +7397,10 @@ Interval (in months) between two waves: p=param[1][1]; /* *(*(*(param +1)+1)+0) */ globpr=0; /* To get the number ipmx of contributions and the sum of weights*/ - + /* For mortality only */ if (mle==-3){ ximort=matrix(1,NDIM,1,NDIM); -/* ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */ + /* ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */ cens=ivector(1,n); ageexmed=vector(1,n); agecens=vector(1,n); @@ -6339,8 +7447,8 @@ 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); @@ -6382,8 +7490,8 @@ Interval (in months) between two waves: /* Initialize method and iterate */ /* p[1]=0.0268; p[NDIM]=0.083; */ -/* gsl_vector_set(x, 0, 0.0268); */ -/* gsl_vector_set(x, 1, 0.083); */ + /* gsl_vector_set(x, 0, 0.0268); */ + /* gsl_vector_set(x, 1, 0.083); */ gsl_vector_set(x, 0, p[1]); gsl_vector_set(x, 1, p[2]); @@ -6436,24 +7544,27 @@ 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]; 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]); + 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); - for (i=1;i<=NDIM;i++) + for (i=1;i<=NDIM;i++) { printf("%f [%f ; %f]\n",p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i])); - + fprintf(ficlog,"%f [%f ; %f]\n",p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i])); + } lsurv=vector(1,AGESUP); lpop=vector(1,AGESUP); tpop=vector(1,AGESUP); @@ -6485,9 +7596,16 @@ Interval (in months) between two waves: replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */ - printinggnuplotmort(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p); - - printinghtmlmort(fileres,title,datafile, firstpass, lastpass, \ + 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\ +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\ +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(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p); + printinghtmlmort(fileresu,title,datafile, firstpass, lastpass, \ stepm, weightopt,\ model,imx,p,matcov,agemortsup); @@ -6500,27 +7618,28 @@ Interval (in months) between two waves: free_ivector(dcwave,1,n); free_matrix(ximort,1,NDIM,1,NDIM); #endif - } /* Endof if mle==-3 */ - - else{ /* For mle >=1 */ + } /* Endof if mle==-3 mortality only */ + /* Standard maximisation */ + else{ /* For mle !=- 3 */ globpr=0;/* debug */ + /* Computes likelihood for initial parameters */ likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */ printf("First Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw); for (k=1; k<=npar;k++) printf(" %d %8.5f",k,p[k]); printf("\n"); - globpr=1; /* to print the contributions */ + globpr=1; /* again, to print the contributions */ likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */ printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw); for (k=1; k<=npar;k++) printf(" %d %8.5f",k,p[k]); printf("\n"); - if(mle>=1){ /* Could be 1 or 2 */ + 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=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model); + 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); fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); @@ -6533,9 +7652,9 @@ Interval (in months) between two waves: fprintf(ficlog,"%d%d ",i,k); fprintf(ficres,"%1d%1d ",i,k); for(j=1; j <=ncovmodel; j++){ - printf("%lf ",p[jk]); - fprintf(ficlog,"%lf ",p[jk]); - fprintf(ficres,"%lf ",p[jk]); + printf("%12.7f ",p[jk]); + fprintf(ficlog,"%12.7f ",p[jk]); + fprintf(ficres,"%12.7f ",p[jk]); jk++; } printf("\n"); @@ -6544,11 +7663,30 @@ Interval (in months) between two waves: } } } - 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); - } + 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"); @@ -6572,7 +7710,7 @@ Interval (in months) between two waves: } 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\ */ @@ -6635,9 +7773,9 @@ Interval (in months) between two waves: 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]); + printf(" %.7e",matcov[jj][ll]); + fprintf(ficlog," %.7e",matcov[jj][ll]); + fprintf(ficres," %.7e",matcov[jj][ll]); } } } @@ -6676,7 +7814,8 @@ Interval (in months) between two waves: 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); - + + /* Other stuffs, more or less useful */ while((c=getc(ficpar))=='#' && c!= EOF){ ungetc(c,ficpar); fgets(line, MAXLINE, ficpar); @@ -6704,6 +7843,7 @@ Interval (in months) between two waves: dateprev2=anprev2+(mprev2-1)/12.+(jprev2-1)/365.; fscanf(ficpar,"pop_based=%d\n",&popbased); + fprintf(ficlog,"pop_based=%d\n",popbased); fprintf(ficparo,"pop_based=%d\n",popbased); fprintf(ficres,"pop_based=%d\n",popbased); @@ -6728,9 +7868,17 @@ Interval (in months) between two waves: /* ,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); */ replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */ - printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p); + 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\ +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\ +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(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p); - printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,\ + printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt,\ model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,\ jprev1,mprev1,anprev1,jprev2,mprev2,anprev2); @@ -6749,8 +7897,13 @@ Interval (in months) between two waves: fclose(ficres); + /* Other results (useful)*/ + + /*--------------- Prevalence limit (period or stable prevalence) --------------*/ -#include "prevlim.h" /* Use ficrespl, ficlog */ + /*#include "prevlim.h"*/ /* Use ficrespl, ficlog */ + prlim=matrix(1,nlstate,1,nlstate); + prevalence_limit(p, prlim, ageminpar, agemaxpar, ftolpl, ncvyear); fclose(ficrespl); #ifdef FREEEXIT2 @@ -6758,7 +7911,8 @@ Interval (in months) between two waves: #endif /*------------- h Pij x at various ages ------------*/ -#include "hpijx.h" + /*#include "hpijx.h"*/ + hPijx(p, bage, fage); fclose(ficrespij); /*-------------- Variance of one-step probabilities---*/ @@ -6776,7 +7930,7 @@ Interval (in months) between two waves: /*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); + prevforecast(fileresu, 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{ */ @@ -6785,7 +7939,8 @@ Interval (in months) between two waves: /* 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); */ /* } */ } - + + /* ------ Other prevalence ratios------------ */ /* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */ @@ -6805,8 +7960,8 @@ Interval (in months) between two waves: /*---------- 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); @@ -6819,7 +7974,7 @@ Interval (in months) between two waves: 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]][codtab[k][j]]); + fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); } fprintf(ficreseij,"******\n"); @@ -6836,8 +7991,8 @@ Interval (in months) between two waves: /*---------- 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; @@ -6846,8 +8001,8 @@ Interval (in months) between two waves: fprintf(ficlog,"Computing Total Life expectancies with their standard errors: file '%s' \n", filerest); - 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); @@ -6855,8 +8010,8 @@ Interval (in months) between two waves: 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); @@ -6864,8 +8019,8 @@ Interval (in months) between two waves: 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); @@ -6879,21 +8034,21 @@ Interval (in months) between two waves: 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]][codtab[k][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]][codtab[k][j]]); - fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][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]][codtab[k][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); @@ -6908,21 +8063,21 @@ Interval (in months) between two waves: for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/ - oldm=oldms;savm=savms; /* Segmentation fault */ + 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 */ + 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 e.. (std) "); + 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); for(age=bage; age <=fage ;age++){ - prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k); + 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++) @@ -6933,14 +8088,17 @@ Interval (in months) between two waves: } } - fprintf(ficrest," %4.0f",age); + fprintf(ficrest," %4.0f %d %d",age, vpopbased, mobilav); + /* 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]; - /* printf("%lf %lf ", 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++) @@ -6972,8 +8130,8 @@ Interval (in months) between two waves: /*------- 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); @@ -6986,12 +8144,12 @@ Interval (in months) between two waves: 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]][codtab[k][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); + 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); /*}*/ } @@ -7010,19 +8168,21 @@ Interval (in months) between two waves: 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); free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); free_ivector(ncodemax,1,NCOVMAX); + free_ivector(ncodemaxwundef,1,NCOVMAX); free_ivector(Tvar,1,NCOVMAX); free_ivector(Tprod,1,NCOVMAX); free_ivector(Tvaraff,1,NCOVMAX); free_ivector(Tage,1,NCOVMAX); free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX); - free_imatrix(codtab,1,100,1,10); + /* free_imatrix(codtab,1,100,1,10); */ fflush(fichtm); fflush(ficgp); @@ -7060,9 +8220,15 @@ Interval (in months) between two waves: printf("Before Current directory %s!\n",pathcd); +#ifdef WIN32 + if (_chdir(pathcd) != 0) + printf("Can't move to directory %s!\n",path); + if(_getcwd(pathcd,MAXLINE) > 0) +#else if(chdir(pathcd) != 0) - printf("Can't move to directory %s!\n",path); - if(getcwd(pathcd,MAXLINE) > 0) + printf("Can't move to directory %s!\n", path); + if (getcwd(pathcd, MAXLINE) > 0) +#endif printf("Current directory %s!\n",pathcd); /*strcat(plotcmd,CHARSEPARATOR);*/ sprintf(plotcmd,"gnuplot"); @@ -7117,7 +8283,7 @@ Interval (in months) between two waves: } end: while (z[0] != 'q') { - printf("\nType q for exiting: "); + printf("\nType q for exiting: "); fflush(stdout); scanf("%s",z); } }