Tvar[1]= 2 */
+int *Tage;
+int *Ndum; /** Freq of modality (tricode */
+/* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */
+int **Tvard, *Tprod, cptcovprod, *Tvaraff;
double *lsurv, *lpop, *tpop;
-double ftol=FTOL; /* Tolerance for computing Max Likelihood */
-double ftolhess; /* Tolerance for computing hessian */
+double ftol=FTOL; /**< Tolerance for computing Max Likelihood */
+double ftolhess; /**< Tolerance for computing hessian */
/**************** split *************************/
static int split( char *path, char *dirc, char *name, char *ext, char *finame )
@@ -422,7 +975,7 @@ 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 );
@@ -433,18 +986,22 @@ 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*/
printf(" DIRC = %s \n",dirc);
- } else { /* strip direcotry from path */
+ } else { /* strip directory from path */
ss++; /* after this, the filename */
l2 = strlen( ss ); /* length of filename */
if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH );
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 */
@@ -482,6 +1039,120 @@ void replace_back_to_slash(char *s, char
}
}
+char *trimbb(char *out, char *in)
+{ /* Trim multiple blanks in line but keeps first blanks if line starts with blanks */
+ char *s;
+ s=out;
+ while (*in != '\0'){
+ while( *in == ' ' && *(in+1) == ' '){ /* && *(in+1) != '\0'){*/
+ in++;
+ }
+ *out++ = *in++;
+ }
+ *out='\0';
+ return s;
+}
+
+/* char *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'
+ and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
+ 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;
+ t=in;s=in;
+ while ((*in != occ) && (*in != '\0')){
+ *alocc++ = *in++;
+ }
+ if( *in == occ){
+ *(alocc)='\0';
+ s=++in;
+ }
+
+ if (s == t) {/* occ not found */
+ *(alocc-(in-s))='\0';
+ in=s;
+ }
+ while ( *in != '\0'){
+ *blocc++ = *in++;
+ }
+
+ *blocc='\0';
+ return t;
+}
+char *cutv(char *blocc, char *alocc, char *in, char occ)
+{
+ /* cuts string in into blocc and alocc where blocc ends before LAST occurence of char 'occ'
+ and alocc starts after last occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
+ gives blocc="abcdef2ghi" and alocc="j".
+ If occ is not found blocc is null and alocc is equal to in. Returns alocc
+ */
+ char *s, *t;
+ t=in;s=in;
+ while (*in != '\0'){
+ while( *in == occ){
+ *blocc++ = *in++;
+ s=in;
+ }
+ *blocc++ = *in++;
+ }
+ if (s == t) /* occ not found */
+ *(blocc-(in-s))='\0';
+ else
+ *(blocc-(in-s)-1)='\0';
+ in=s;
+ while ( *in != '\0'){
+ *alocc++ = *in++;
+ }
+
+ *alocc='\0';
+ return s;
+}
+
int nbocc(char *s, char occ)
{
int i,j=0;
@@ -494,27 +1165,45 @@ int nbocc(char *s, char occ)
return j;
}
-void cutv(char *u,char *v, char*t, char occ)
-{
- /* cuts string t into u and v where u ends before first occurence of char 'occ'
- and v starts after first occurence of char 'occ' : ex cutv(u,v,"abcdef2ghi2j",'2')
- gives u="abcedf" and v="ghi2j" */
- int i,lg,j,p=0;
- i=0;
- for(j=0; j<=strlen(t)-1; j++) {
- if((t[j]!= occ) && (t[j+1]== occ)) p=j+1;
- }
+/* void cutv(char *u,char *v, char*t, char occ) */
+/* { */
+/* /\* cuts string t into u and v where u ends before last occurence of char 'occ' */
+/* and v starts after last occurence of char 'occ' : ex cutv(u,v,"abcdef2ghi2j",'2') */
+/* gives u="abcdef2ghi" and v="j" *\/ */
+/* int i,lg,j,p=0; */
+/* i=0; */
+/* lg=strlen(t); */
+/* for(j=0; j<=lg-1; j++) { */
+/* if((t[j]!= occ) && (t[j+1]== occ)) p=j+1; */
+/* } */
- lg=strlen(t);
- for(j=0; j=(p+1))(v[j-p-1] = t[j]);
- }
+/* for(j=0; j<= lg; j++) { */
+/* if (j>=(p+1))(v[j-p-1] = t[j]); */
+/* } */
+/* } */
+
+#ifdef _WIN32
+char * strsep(char **pp, const char *delim)
+{
+ char *p, *q;
+
+ if ((p = *pp) == NULL)
+ return 0;
+ if ((q = strpbrk (p, delim)) != NULL)
+ {
+ *pp = q + 1;
+ *q = '\0';
+ }
+ else
+ *pp = 0;
+ return p;
}
+#endif
/********************** nrerror ********************/
@@ -623,7 +1312,9 @@ double **matrix(long nrl, long nrh, long
for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
return m;
- /* print *(*(m+1)+70) or print m[1][70]; print m+1 or print &(m[1])
+ /* print *(*(m+1)+70) or print m[1][70]; print m+1 or print &(m[1]) or &(m[1][0])
+m[i] = address of ith row of the table. &(m[i]) is its value which is another adress
+that of m[i][0]. In order to get the value p m[i][0] but it is unitialized.
*/
}
@@ -712,6 +1403,42 @@ char *subdirf3(char fileres[], char *pre
strcat(tmpout,fileres);
return tmpout;
}
+
+/*************** function subdirfext ***********/
+char *subdirfext(char fileres[], char *preop, char *postop)
+{
+
+ strcpy(tmpout,preop);
+ strcat(tmpout,fileres);
+ strcat(tmpout,postop);
+ return tmpout;
+}
+
+/*************** function subdirfext3 ***********/
+char *subdirfext3(char fileres[], char *preop, char *postop)
+{
+
+ /* Caution optionfilefiname is hidden */
+ strcpy(tmpout,optionfilefiname);
+ strcat(tmpout,"/");
+ strcat(tmpout,preop);
+ strcat(tmpout,fileres);
+ strcat(tmpout,postop);
+ return tmpout;
+}
+
+char *asc_diff_time(long time_sec, char ascdiff[])
+{
+ long sec_left, days, hours, minutes;
+ days = (time_sec) / (60*60*24);
+ sec_left = (time_sec) % (60*60*24);
+ hours = (sec_left) / (60*60) ;
+ sec_left = (sec_left) %(60*60);
+ minutes = (sec_left) /60;
+ sec_left = (sec_left) % (60);
+ sprintf(ascdiff,"%ld day(s) %ld hour(s) %ld minute(s) %ld second(s)",days, hours, minutes, sec_left);
+ return ascdiff;
+}
/***************** f1dim *************************/
extern int ncom;
@@ -733,11 +1460,17 @@ 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,fv,fw,fx;
- double ftemp;
+ double fu=0,fv,fw,fx;
+ double ftemp=0.;
double p,q,r,tol1,tol2,u,v,w,x,xm;
double e=0.0;
@@ -751,7 +1484,7 @@ double brent(double ax, double bx, doubl
/* if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret)))*/
printf(".");fflush(stdout);
fprintf(ficlog,".");fflush(ficlog);
-#ifdef DEBUG
+#ifdef DEBUGBRENT
printf("br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);
fprintf(ficlog,"br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);
/* if ((fabs(x-xm) <= (tol2-0.5*(b-a)))||(2.0*fabs(fu-ftemp) <= ftol*1.e-2*(fabs(fu)+fabs(ftemp)))) { */
@@ -786,19 +1519,19 @@ 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;
@@ -809,46 +1542,139 @@ 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) {
+#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));
- ulim=(*bx)+GLIMIT*(*cx-*bx);
- if ((*bx-u)*(u-*cx) > 0.0) {
+ (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);
- } else if ((*cx-u)*(u-ulim) > 0.0) {
+#ifdef DEBUG
+ /* f(x)=A(x-u)**2+f(u) */
+ double A, fparabu;
+ A= (*fb - *fa)/(*bx-*ax)/(*bx+*ax-2*u);
+ 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) {
+ SHFT(*fb,*fc,fu,(*func)(u))
+ }
+ } else if ((u-ulim)*(ulim-*cx) >= 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 ************************/
-
+/* Given an n -dimensional point p[1..n] and an n -dimensional direction xi[1..n] , moves and
+resets p to where the function func(p) takes on a minimum along the direction xi from p ,
+and replaces xi by the actual vector displacement that p was moved. Also returns as fret
+the value of func at the returned location p . This is actually all accomplished by calling the
+routines mnbrak and brent .*/
int ncom;
double *pcom,*xicom;
double (*nrfunc)(double []);
@@ -863,45 +1689,111 @@ void linmin(double p[], double xi[], int
int j;
double xx,xmin,bx,ax;
double fx,fb,fa;
-
- ncom=n;
+
+#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);
- *fret=brent(ax,xx,bx,f1dim,TOL,&xmin);
+
+#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);
}
-char *asc_diff_time(long time_sec, char ascdiff[])
-{
- long sec_left, days, hours, minutes;
- days = (time_sec) / (60*60*24);
- sec_left = (time_sec) % (60*60*24);
- hours = (sec_left) / (60*60) ;
- sec_left = (sec_left) %(60*60);
- minutes = (sec_left) /60;
- sec_left = (sec_left) % (60);
- sprintf(ascdiff,"%d day(s) %d hour(s) %d minute(s) %d second(s)",days, hours, minutes, sec_left);
- return ascdiff;
-}
/*************** powell ************************/
+/*
+Minimization of a function func of n variables. Input consists of an initial starting point
+p[1..n] ; an initial matrix xi[1..n][1..n] , whose columns contain the initial set of di-
+rections (usually the n unit vectors); and ftol , the fractional tolerance in the function value
+such that failure to decrease by more than this amount on one iteration signals doneness. On
+output, p is set to the best point found, xi is the then-current direction set, fret is the returned
+function value at p , and iter is the number of iterations taken. The routine linmin is used.
+ */
void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret,
double (*func)(double []))
{
@@ -909,6 +1801,7 @@ 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;
@@ -919,17 +1812,19 @@ 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);
for (*iter=1;;++(*iter)) {
- fp=(*fret);
+ fp=(*fret); /* From former iteration or initial value */
ibig=0;
del=0.0;
- last_time=curr_time;
- (void) gettimeofday(&curr_time,&tzp);
- printf("\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec);fflush(stdout);
- /* fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec);
- fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tv_sec-start_time.tv_sec);
- */
- for (i=1;i<=n;i++) {
+ rlast_time=rcurr_time;
+ /* (void) gettimeofday(&curr_time,&tzp); */
+ rcurr_time = time(NULL);
+ curr_time = *localtime(&rcurr_time);
+ 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++) {
printf(" %d %.12f",i, p[i]);
fprintf(ficlog," %d %.12lf",i, p[i]);
fprintf(ficrespow," %.12lf", p[i]);
@@ -938,38 +1833,41 @@ void powell(double p[], double **xi, int
fprintf(ficlog,"\n");
fprintf(ficrespow,"\n");fflush(ficrespow);
if(*iter <=3){
- tm = *localtime(&curr_time.tv_sec);
- strcpy(strcurr,asctime(&tm));
-/* asctime_r(&tm,strcurr); */
- forecast_time=curr_time;
+ tml = *localtime(&rcurr_time);
+ strcpy(strcurr,asctime(&tml));
+ rforecast_time=rcurr_time;
itmp = strlen(strcurr);
if(strcurr[itmp-1]=='\n') /* Windows outputs with a new line */
strcurr[itmp-1]='\0';
- printf("\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,curr_time.tv_sec-last_time.tv_sec);
- fprintf(ficlog,"\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,curr_time.tv_sec-last_time.tv_sec);
+ printf("\nConsidering the time needed for the last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time);
+ fprintf(ficlog,"\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time);
for(niterf=10;niterf<=30;niterf+=10){
- forecast_time.tv_sec=curr_time.tv_sec+(niterf-*iter)*(curr_time.tv_sec-last_time.tv_sec);
- tmf = *localtime(&forecast_time.tv_sec);
-/* asctime_r(&tmf,strfor); */
- strcpy(strfor,asctime(&tmf));
+ rforecast_time=rcurr_time+(niterf-*iter)*(rcurr_time-rlast_time);
+ forecast_time = *localtime(&rforecast_time);
+ strcpy(strfor,asctime(&forecast_time));
itmp = strlen(strfor);
if(strfor[itmp-1]=='\n')
strfor[itmp-1]='\0';
- printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);
- fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);
+ printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr);
+ fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(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 \n",*fret);
- fprintf(ficlog,"fret=%lf \n",*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;
}
@@ -982,14 +1880,29 @@ void powell(double p[], double **xi, int
fprintf(ficlog," x(%d)=%.12e",j,xit[j]);
}
for(j=1;j<=n;j++) {
- printf(" p=%.12e",p[j]);
- fprintf(ficlog," p=%.12e",p[j]);
+ printf(" p(%d)=%.12e",j,p[j]);
+ fprintf(ficlog," p(%d)=%.12e",j,p[j]);
}
printf("\n");
fprintf(ficlog,"\n");
#endif
- }
- 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;
@@ -1019,22 +1932,82 @@ 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++) {
+ 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);
- if (fptt < fp) {
- t=2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del)-del*SQR(fp-fptt);
- if (t < 0.0) {
- linmin(p,xit,n,fret,func);
+ 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 */
+ /* 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); */
+#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);
+#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),
+ (fp-(*fret)-del)*(fp-(*fret)-del),(fp-fptt)*(fp-fptt));
+ 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
+#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++) {
+ 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];
- xi[j][n]=xit[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 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);
fprintf(ficlog,"Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
@@ -1045,108 +2018,183 @@ void powell(double p[], double **xi, int
printf("\n");
fprintf(ficlog,"\n");
#endif
- }
- }
- }
+ } /* end of t or directest negative */
+#ifdef POWELLF1F3
+#else
+ } /* end if (fptt < fp) */
+#endif
+ } /* loop iteration */
}
-/**** Prevalence limit (stable prevalence) ****************/
+/**** Prevalence limit (stable or period prevalence) ****************/
-double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int ij)
+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 */
+ /* Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1 = Wx-n Px-n ... Px-2 Px-1 I */
+ /* Wx is row vector: population in state 1, population in state 2, population dead */
+ /* or prevalence in state 1, prevalence in state 2, 0 */
+ /* newm is the matrix after multiplications, its rows are identical at a factor */
+ /* Initial matrix pimij */
+ /* {0.85204250825084937, 0.13044499163996345, 0.017512500109187184, */
+ /* 0.090851990222114765, 0.88271245433047185, 0.026435555447413338, */
+ /* 0, 0 , 1} */
+ /*
+ * and after some iteration: */
+ /* {0.45504275246439968, 0.42731458730878791, 0.11764266022681241, */
+ /* 0.45201005341706885, 0.42865420071559901, 0.11933574586733192, */
+ /* 0, 0 , 1} */
+ /* And prevalence by suppressing the deaths are close to identical rows in prlim: */
+ /* {0.51571254859325999, 0.4842874514067399, */
+ /* 0.51326036147820708, 0.48673963852179264} */
+ /* If we start from prlim again, prlim tends to a constant matrix */
int i, ii,j,k;
- double min, max, maxmin, maxmax,sumnew=0.;
- double **matprod2();
- double **out, cov[NCOVMAX], **pmij();
+ double *min, *max, *meandiff, 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=200. ; /* 100 Max number of years to converge */
+ int ncvloop=0;
+
+ min=vector(1,nlstate);
+ max=vector(1,nlstate);
+ meandiff=vector(1,nlstate);
for (ii=1;ii<=nlstate+ndeath;ii++)
for (j=1;j<=nlstate+ndeath;j++){
oldm[ii][j]=(ii==j ? 1.0 : 0.0);
}
-
- cov[1]=1.;
-
- /* Even if hstepm = 1, at least one multiplication by the unit matrix */
+
+ 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;
-
- for (k=1; k<=cptcovn;k++) {
- cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];
- /* printf("ij=%d k=%d Tvar[k]=%d nbcode=%d cov=%lf codtab[ij][Tvar[k]]=%d \n",ij,k, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k], codtab[ij][Tvar[k]]);*/
- }
- for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
- for (k=1; k<=cptcovprod;k++)
- cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];
-
- /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/
- /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/
- /*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/
- out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);
-
+ cov[2]=agefin;
+ if(nagesqr==1)
+ cov[3]= agefin*agefin;;
+ for (k=1; k<=cptcovn;k++) {
+ /* 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]);*/
+ /*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/
+ /* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */
+ /* out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /\* Bug Valgrind *\/ */
+ out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */
+
savm=oldm;
oldm=newm;
- maxmax=0.;
- for(j=1;j<=nlstate;j++){
- min=1.;
- max=0.;
- for(i=1; i<=nlstate; i++) {
- sumnew=0;
- for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];
+
+ for(j=1; j<=nlstate; j++){
+ max[j]=0.;
+ min[j]=1.;
+ }
+ for(i=1;i<=nlstate;i++){
+ sumnew=0;
+ for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];
+ for(j=1; j<=nlstate; j++){
prlim[i][j]= newm[i][j]/(1-sumnew);
- max=FMAX(max,prlim[i][j]);
- min=FMIN(min,prlim[i][j]);
+ max[j]=FMAX(max[j],prlim[i][j]);
+ min[j]=FMIN(min[j],prlim[i][j]);
}
- maxmin=max-min;
- maxmax=FMAX(maxmax,maxmin);
}
+
+ maxmax=0.;
+ for(j=1; j<=nlstate; j++){
+ meandiff[j]=(max[j]-min[j])/(max[j]+min[j])*2.; /* mean difference for each column */
+ maxmax=FMAX(maxmax,meandiff[j]);
+ /* printf(" age= %d meandiff[%d]=%f, agefin=%d max[%d]=%f min[%d]=%f maxmax=%f\n", (int)age, j, meandiff[j],(int)agefin, j, max[j], j, min[j],maxmax); */
+ } /* j loop */
+ *ncvyear= (int)age- (int)agefin;
+ /* printf("maxmax=%lf maxmin=%lf ncvloop=%d, age=%d, agefin=%d ncvyear=%d \n", maxmax, maxmin, ncvloop, (int)age, (int)agefin, *ncvyear); */
if(maxmax < ftolpl){
+ /* printf("maxmax=%lf ncvloop=%ld, age=%d, agefin=%d ncvyear=%d \n", maxmax, ncvloop, (int)age, (int)agefin, *ncvyear); */
+ free_vector(min,1,nlstate);
+ free_vector(max,1,nlstate);
+ free_vector(meandiff,1,nlstate);
return prlim;
}
- }
+ } /* age loop */
+ /* After some age loop it doesn't converge */
+ printf("Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. \n\
+Earliest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, delaymax, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear);
+ /* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */
+ free_vector(min,1,nlstate);
+ free_vector(max,1,nlstate);
+ free_vector(meandiff,1,nlstate);
+
+ return prlim; /* should not reach here */
}
/*************** transition probabilities ***************/
double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate )
{
- double s1, s2;
+ /* According to parameters values stored in x and the covariate's values stored in cov,
+ computes the probability to be observed in state j being in state i by appying the
+ model to the ncovmodel covariates (including constant and age).
+ lnpijopii=ln(pij/pii)= aij+bij*age+cij*v1+dij*v2+... = sum_nc=1^ncovmodel xij(nc)*cov[nc]
+ and, according on how parameters are entered, the position of the coefficient xij(nc) of the
+ ncth covariate in the global vector x is given by the formula:
+ j=i nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel
+ Computes ln(pij/pii) (lnpijopii), deduces pij/pii by exponentiation,
+ sums on j different of i to get 1-pii/pii, deduces pii, and then all pij.
+ Outputs ps[i][j] the probability to be observed in j being in j according to
+ the values of the covariates cov[nc] and corresponding parameter values x[nc+shiftij]
+ */
+ double s1, lnpijopii;
/*double t34;*/
- int i,j,j1, nc, ii, jj;
+ int i,j, nc, ii, jj;
for(i=1; i<= nlstate; i++){
for(j=1; ji s1=%.17e, s2=%.17e %lx %lx\n",s1,s2,s1,s2); */
+ for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){
+ /*lnpijopii += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];*/
+ lnpijopii += x[nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel]*cov[nc];
+/* printf("Int j>i s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */
}
- ps[i][j]=s2;
+ ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */
}
}
- /*ps[3][2]=1;*/
for(i=1; i<= nlstate; i++){
s1=0;
- for(j=1; ji} pij/pii=(1-pii)/pii and thus pii is known from s1 */
ps[i][i]=1./(s1+1.);
+ /* Computing other pijs */
for(j=1; jfunction)(xt); /* p xt[1]@8 is fine */
+ /* fret=(*func)(xt); /\* p xt[1]@8 is fine *\/ */
+ printf("Function = %.12lf ",fret);
+ for (j=1;j<=n;j++) printf(" %d %.8lf", j, xt[j]);
+ printf("\n");
+ free_vector(xt,1,n);
+ return fret;
+}
+#endif
/*************** log-likelihood *************/
double func( double *x)
{
int i, ii, j, k, mi, d, kk;
- double l, ll[NLSTATEMAX], cov[NCOVMAX];
+ double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1];
double **out;
double sw; /* Sum of weights */
double lli; /* Individual log likelihood */
int s1, s2;
double bbh, survp;
long ipmx;
+ double agexact;
/*extern weight */
/* We are differentiating ll according to initial status */
/* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/
/*for(i=1;i(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2]));*/ /* linear interpolation */
@@ -1370,11 +2482,15 @@ double func( double *x)
ipmx +=1;
sw += weight[i];
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
+ /* if (lli < log(mytinydouble)){ */
+ /* printf("Close to inf lli = %.10lf < %.10lf i= %d mi= %d, s[%d][i]=%d s1=%d s2=%d\n", lli,log(mytinydouble), i, mi,mw[mi][i], s[mw[mi][i]][i], s1,s2); */
+ /* fprintf(ficlog,"Close to inf lli = %.10lf i= %d mi= %d, s[mw[mi][i]][i]=%d\n", lli, i, mi,s[mw[mi][i]][i]); */
+ /* } */
} /* end of wave */
} /* end of individual */
} else if(mle==2){
for (i=1,ipmx=0, sw=0.; i<=imx; i++){
- for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
+ for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i];
for(mi=1; mi<= wav[i]-1; mi++){
for (ii=1;ii<=nlstate+ndeath;ii++)
for (j=1;j<=nlstate+ndeath;j++){
@@ -1383,9 +2499,12 @@ double func( double *x)
}
for(d=0; d<=dh[mi][i]; d++){
newm=savm;
- cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
+ agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;
+ cov[2]=agexact;
+ if(nagesqr==1)
+ cov[3]= agexact*agexact;
for (kk=1; kk<=cptcovage;kk++) {
- cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
+ cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact;
}
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
@@ -1404,7 +2523,7 @@ double func( double *x)
} /* end of individual */
} else if(mle==3){ /* exponential inter-extrapolation */
for (i=1,ipmx=0, sw=0.; i<=imx; i++){
- for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
+ for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i];
for(mi=1; mi<= wav[i]-1; mi++){
for (ii=1;ii<=nlstate+ndeath;ii++)
for (j=1;j<=nlstate+ndeath;j++){
@@ -1413,9 +2532,12 @@ double func( double *x)
}
for(d=0; d nlstate){
lli=log(out[s1][s2] - savm[s1][s2]);
+ } else if ( s2==-1 ) { /* alive */
+ for (j=1,survp=0. ; j<=nlstate; j++)
+ survp += out[s1][j];
+ lli= log(survp);
}else{
lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */
}
@@ -1469,7 +2598,7 @@ double func( double *x)
} /* end of individual */
}else{ /* ml=5 no inter-extrapolation no jackson =0.8a */
for (i=1,ipmx=0, sw=0.; i<=imx; i++){
- for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
+ for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i];
for(mi=1; mi<= wav[i]-1; mi++){
for (ii=1;ii<=nlstate+ndeath;ii++)
for (j=1;j<=nlstate+ndeath;j++){
@@ -1478,9 +2607,12 @@ double func( double *x)
}
for(d=0; d nlstate && (mle <5) ){ /* Jackson */
lli=log(out[s1][s2] - savm[s1][s2]);
- } else if (mle==1){
+ } else if ( s2==-1 ) { /* alive */
+ for (j=1,survp=0. ; j<=nlstate; j++)
+ survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j];
+ lli= log(survp);
+ }else if (mle==1){
lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
} else if(mle==2){
lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* linear interpolation */
@@ -1562,17 +2716,18 @@ double funcone( double *x)
lli= (savm[s1][s2]>(double)1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */
} else if (mle==4){ /* mle=4 no inter-extrapolation */
lli=log(out[s1][s2]); /* Original formula */
- } else{ /* ml>=5 no inter-extrapolation no jackson =0.8a */
- lli=log(out[s1][s2]); /* Original formula */
+ } else{ /* mle=0 back to 1 */
+ lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
+ /*lli=log(out[s1][s2]); */ /* Original formula */
} /* End of if */
ipmx +=1;
sw += weight[i];
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
-/* printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */
+ /*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */
if(globpr){
- fprintf(ficresilk,"%9d %6d %1d %1d %1d %1d %3d %10.6f %6.4f\
- %10.6f %10.6f %10.6f ", \
- num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],
+ fprintf(ficresilk,"%9ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %11.6f %8.4f %8.3f\
+ %11.6f %11.6f %11.6f ", \
+ num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw,
2*weight[i]*lli,out[s1][s2],savm[s1][s2]);
for(k=1,llt=0.,l=0.; k<=nlstate; k++){
llt +=ll[k]*gipmx/gsw;
@@ -1604,14 +2759,14 @@ void likelione(FILE *ficres,double p[],
int k;
if(*globpri !=0){ /* Just counts and sums, no printings */
- strcpy(fileresilk,"ilk");
- strcat(fileresilk,fileres);
+ strcpy(fileresilk,"ILK_");
+ strcat(fileresilk,fileresu);
if((ficresilk=fopen(fileresilk,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresilk);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk);
}
- fprintf(ficresilk, "#individual(line's_record) s1 s2 wave# effective_wave# number_of_matrices_product pij weight -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total\n");
- fprintf(ficresilk, "#num_i i s1 s2 mi mw dh likeli weight 2wlli out sav ");
+ fprintf(ficresilk, "#individual(line's_record) count ageb ageend s1 s2 wave# effective_wave# number_of_matrices_product pij weight weight/gpw -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total\n");
+ fprintf(ficresilk, "#num_i ageb agend i s1 s2 mi mw dh likeli weight %%weight 2wlli out sav ");
/* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2*weight[i]*lli,out[s1][s2],savm[s1][s2]); */
for(k=1; k<=nlstate; k++)
fprintf(ficresilk," -2*gipw/gsw*weight*ll[%d]++",k);
@@ -1621,9 +2776,23 @@ void likelione(FILE *ficres,double p[],
*fretone=(*funcone)(p);
if(*globpri !=0){
fclose(ficresilk);
- fprintf(fichtm,"\n
File of contributions to the likelihood: %s
\n",subdirf(fileresilk),subdirf(fileresilk));
- fflush(fichtm);
- }
+ if (mle ==0)
+ fprintf(fichtm,"\n
File of contributions to the likelihood computed with initial parameters and mle = %d.",mle);
+ else if(mle >=1)
+ fprintf(fichtm,"\n
File of contributions to the likelihood computed with optimized parameters mle = %d.",mle);
+ fprintf(fichtm," You should at least run with mle >= 1 to get starting values corresponding to the optimized parameters in order to visualize the real contribution of each individual/wave: %s
\n",subdirf(fileresilk),subdirf(fileresilk));
+
+
+ for (k=1; k<= nlstate ; k++) {
+ fprintf(fichtm,"
- Probability p%dj by origin %d and destination j. Dot's sizes are related to corresponding weight: %s-p%dj.png
\
+",k,k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k);
+ }
+ fprintf(fichtm,"
- The function drawn is -2Log(L) in Log scale: by state of origin %s-ori.png
\
+",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"));
+ fprintf(fichtm,"
- and by state of destination %s-dest.png
\
+",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"));
+ fflush(fichtm);
+ }
return;
}
@@ -1632,17 +2801,29 @@ void likelione(FILE *ficres,double p[],
void mlikeli(FILE *ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (*func)(double []))
{
- int i,j, iter;
+ int i,j, iter=0;
double **xi;
double fret;
double fretone; /* Only one call to likelihood */
/* char filerespow[FILENAMELENGTH];*/
+
+#ifdef NLOPT
+ int creturn;
+ nlopt_opt opt;
+ /* double lb[9] = { -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL }; /\* lower bounds *\/ */
+ double *lb;
+ double minf; /* the minimum objective value, upon return */
+ double * p1; /* Shifted parameters from 0 instead of 1 */
+ myfunc_data dinst, *d = &dinst;
+#endif
+
+
xi=matrix(1,npar,1,npar);
for (i=1;i<=npar;i++)
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);
@@ -1653,36 +2834,64 @@ void mlikeli(FILE *ficres,double p[], in
for(j=1;j<=nlstate+ndeath;j++)
if(j!=i)fprintf(ficrespow," p%1d%1d",i,j);
fprintf(ficrespow,"\n");
-
+#ifdef POWELL
powell(p,xi,npar,ftol,&iter,&fret,func);
+#endif
+#ifdef NLOPT
+#ifdef NEWUOA
+ opt = nlopt_create(NLOPT_LN_NEWUOA,npar);
+#else
+ opt = nlopt_create(NLOPT_LN_BOBYQA,npar);
+#endif
+ lb=vector(0,npar-1);
+ for (i=0;ifunction = func;
+ printf(" Func %.12lf \n",myfunc(npar,p1,NULL,d));
+ nlopt_set_min_objective(opt, myfunc, d);
+ nlopt_set_xtol_rel(opt, ftol);
+ if ((creturn=nlopt_optimize(opt, p1, &minf)) < 0) {
+ printf("nlopt failed! %d\n",creturn);
+ }
+ else {
+ printf("found minimum after %d evaluations (NLOPT=%d)\n", countcallfunc ,NLOPT);
+ printf("found minimum at f(%g,%g) = %0.10g\n", p[0], p[1], minf);
+ iter=1; /* not equal */
+ }
+ nlopt_destroy(opt);
+#endif
+ free_matrix(xi,1,npar,1,npar);
fclose(ficrespow);
- printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));
- fprintf(ficlog,"\n#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));
- fprintf(ficres,"#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));
+ printf("\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));
+ fprintf(ficlog,"\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));
+ fprintf(ficres,"#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));
}
/**** Computes Hessian and covariance matrix ***/
-void hesscov(double **matcov, double p[], int npar, double delti[], double ftolhess, double (*func)(double []))
+void hesscov(double **matcov, double **hess, double p[], int npar, double delti[], double ftolhess, double (*func)(double []))
{
double **a,**y,*x,pd;
- double **hess;
- int i, j,jk;
+ /* 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);
@@ -1693,9 +2902,9 @@ 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]);*/
@@ -1729,71 +2938,96 @@ 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 p2[NPARMAX+1];
- double res;
+ double k1,k2, res, fx;
+ double p2[MAXPARM+1]; /* identical to x */
double delt=0.0001, delts, nkhi=10.,nkhif=1., khi=1.e-4;
- double fx;
int k=0,kmax=10;
double l1;
fx=func(x);
for (i=1;i<=npar;i++) p2[i]=x[i];
- for(l=0 ; l <=lmax; l++){
+ 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)){ /* Keeps lastvalue before 3.84/2 KHI2 5% 1d.f. */
- k=kmax; l=lmax*10.;
+ k=kmax; l=lmax*10;
}
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, l1, lmax=20;
+ int l=1, lmax=20;
double k1,k2,k3,k4,res,fx;
- double p2[NPARMAX+1];
- int k;
+ double p2[MAXPARM+1];
+ int k, kmax=1;
+ double v1, v2, cv12, lc1, lc2;
+ int firstime=0;
+
fx=func(x);
- for (k=1; k<=2; k++) {
+ for (k=1; k<=kmax; k=k+10) {
for (i=1;i<=npar;i++) p2[i]=x[i];
- p2[thetai]=x[thetai]+delti[thetai]/k;
- p2[thetaj]=x[thetaj]+delti[thetaj]/k;
+ p2[thetai]=x[thetai]+delti[thetai]*k;
+ p2[thetaj]=x[thetaj]+delti[thetaj]*k;
k1=func(p2)-fx;
- p2[thetai]=x[thetai]+delti[thetai]/k;
- p2[thetaj]=x[thetaj]-delti[thetaj]/k;
+ p2[thetai]=x[thetai]+delti[thetai]*k;
+ p2[thetaj]=x[thetaj]-delti[thetaj]*k;
k2=func(p2)-fx;
- p2[thetai]=x[thetai]-delti[thetai]/k;
- p2[thetaj]=x[thetaj]+delti[thetaj]/k;
+ p2[thetai]=x[thetai]-delti[thetai]*k;
+ p2[thetaj]=x[thetaj]+delti[thetaj]*k;
k3=func(p2)-fx;
- p2[thetai]=x[thetai]-delti[thetai]/k;
- p2[thetaj]=x[thetaj]-delti[thetaj]/k;
+ p2[thetai]=x[thetai]-delti[thetai]*k;
+ p2[thetaj]=x[thetaj]-delti[thetaj]*k;
k4=func(p2)-fx;
- res=(k1-k2-k3+k4)/4.0/delti[thetai]*k/delti[thetaj]*k/2.; /* Because of L not 2*L */
-#ifdef DEBUG
- printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
- fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
+ res=(k1-k2-k3+k4)/4.0/delti[thetai]/k/delti[thetaj]/k/2.; /* Because of L not 2*L */
+ if(k1*k2*k3*k4 <0.){
+ firstime=1;
+ kmax=kmax+10;
+ }
+ if(kmax >=10 || firstime ==1){
+ printf("Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; 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)
{
@@ -1923,27 +3234,67 @@ void lubksb(double **a, int n, int *indx
}
}
+void pstamp(FILE *fichier)
+{
+ fprintf(fichier,"# %s.%s\n#IMaCh version %s, %s\n#%s\n# %s", optionfilefiname,optionfilext,version,copyright, fullversion, strstart);
+}
+
/************ Frequencies ********************/
-void freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, int *Tvaraff, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[])
+void freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, \
+ int *Tvaraff, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[],\
+ int firstpass, int lastpass, int stepm, int weightopt, char model[])
{ /* Some frequencies */
- int i, m, jk, k1,i1, j1, bool, z1,z2,j;
+ int i, m, jk, j1, bool, z1,j;
+ int mi; /* Effective wave */
int first;
double ***freq; /* Frequencies */
double *pp, **prop;
double pos,posprop, k2, dateintsum=0,k2cpt=0;
- FILE *ficresp;
- char fileresp[FILENAMELENGTH];
-
+ char fileresp[FILENAMELENGTH], fileresphtm[FILENAMELENGTH], fileresphtmfr[FILENAMELENGTH];
+ double agebegin, ageend;
+
pp=vector(1,nlstate);
prop=matrix(1,nlstate,iagemin,iagemax+3);
- strcpy(fileresp,"p");
- strcat(fileresp,fileres);
+ strcpy(fileresp,"P_");
+ strcat(fileresp,fileresu);
+ /*strcat(fileresphtm,fileresu);*/
if((ficresp=fopen(fileresp,"w"))==NULL) {
printf("Problem with prevalence resultfile: %s\n", fileresp);
fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);
exit(0);
}
+
+ strcpy(fileresphtm,subdirfext(optionfilefiname,"PHTM_",".htm"));
+ if((ficresphtm=fopen(fileresphtm,"w"))==NULL) {
+ printf("Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno));
+ fprintf(ficlog,"Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno));
+ fflush(ficlog);
+ exit(70);
+ }
+ else{
+ fprintf(ficresphtm,"\nIMaCh PHTM_ %s\n %s
%s \
+
\n\
+Title=%s
Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s
\n",\
+ fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);
+ }
+ fprintf(ficresphtm,"Current page is file %s
\n\nFrequencies and prevalence by age at begin of transition
\n",fileresphtm, fileresphtm);
+
+ strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm"));
+ if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) {
+ printf("Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno));
+ fprintf(ficlog,"Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno));
+ fflush(ficlog);
+ exit(70);
+ }
+ else{
+ fprintf(ficresphtmfr,"\nIMaCh PHTM_Frequency table %s\n %s
%s \
+
\n\
+Title=%s
Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s
\n",\
+ fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);
+ }
+ fprintf(ficresphtmfr,"Current page is file %s
\n\nFrequencies of all effective transitions by age at begin of transition
Unknown status is -1
\n",fileresphtmfr, fileresphtmfr);
+
freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin,iagemax+3);
j1=0;
@@ -1952,69 +3303,124 @@ void freqsummary(char fileres[], int ia
first=1;
- for(k1=1; k1<=j;k1++){
- for(i1=1; i1<=ncodemax[k1];i1++){
- j1++;
+ for (j1 = 1; j1 <= (int) pow(2,cptcoveff); j1++){ /* Loop on covariates combination */
/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);
scanf("%d", i);*/
for (i=-5; i<=nlstate+ndeath; i++)
for (jk=-5; jk<=nlstate+ndeath; jk++)
for(m=iagemin; m <= iagemax+3; m++)
freq[i][jk][m]=0;
-
- for (i=1; i<=nlstate; i++)
- for(m=iagemin; m <= iagemax+3; m++)
- prop[i][m]=0;
+
+ for (i=1; i<=nlstate; i++)
+ for(m=iagemin; m <= iagemax+3; m++)
+ prop[i][m]=0;
dateintsum=0;
k2cpt=0;
- for (i=1; i<=imx; i++) {
+ for (i=1; i<=imx; i++) { /* For each individual i */
bool=1;
- if (cptcovn>0) {
- for (z1=1; z1<=cptcoveff; z1++)
- if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])
- bool=0;
- }
+ if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */
+ for (z1=1; z1<=cptcoveff; z1++)
+ if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){
+ /* Tests if the value of each of the covariates of i is equal to filter j1 */
+ bool=0;
+ /* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n",
+ bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1),
+ j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/
+ /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/
+ }
+ } /* cptcovn > 0 */
+
if (bool==1){
- for(m=firstpass; m<=lastpass; m++){
- k2=anint[m][i]+(mint[m][i]/12.);
- /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/
- if(agev[m][i]==0) agev[m][i]=iagemax+1;
- if(agev[m][i]==1) agev[m][i]=iagemax+2;
- if (s[m][i]>0 && s[m][i]<=nlstate) prop[s[m][i]][(int)agev[m][i]] += weight[i];
+ /* for(m=firstpass; m<=lastpass; m++){ */
+ for(mi=1; mi=firstpass && m <=lastpass){
+ k2=anint[m][i]+(mint[m][i]/12.);
+ /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/
+ if(agev[m][i]==0) agev[m][i]=iagemax+1; /* All ages equal to 0 are in iagemax+1 */
+ if(agev[m][i]==1) agev[m][i]=iagemax+2; /* All ages equal to 1 are in iagemax+2 */
+ if (s[m][i]>0 && s[m][i]<=nlstate) /* If status at wave m is known and a live state */
+ prop[s[m][i]][(int)agev[m][i]] += weight[i]; /* At age of beginning of transition, where status is known */
if (m1) && (agev[m][i]< (iagemax+3))) {
- dateintsum=dateintsum+k2;
- k2cpt++;
- }
- /*}*/
- }
- }
- }
+ }
+ if ((agev[m][i]>1) && (agev[m][i]< (iagemax+3)) && (anint[m][i]!=9999) && (mint[m][i]!=99)) {
+ dateintsum=dateintsum+k2;
+ k2cpt++;
+ /* printf("i=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",i, dateintsum/k2cpt, dateintsum,k2cpt, k2); */
+ }
+ /*}*/
+ } /* end m */
+ } /* end bool */
+ } /* end i = 1 to imx */
/* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
-fprintf(ficresp, "#Local time at start: %s", strstart);
+ pstamp(ficresp);
if (cptcovn>0) {
fprintf(ficresp, "\n#********** Variable ");
- for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
- fprintf(ficresp, "**********\n#");
+ fprintf(ficresphtm, "\n
********** Variable ");
+ fprintf(ficresphtmfr, "\n
********** Variable ");
+ for (z1=1; z1<=cptcoveff; z1++){
+ fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
+ fprintf(ficresphtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
+ fprintf(ficresphtmfr, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
+ }
+ fprintf(ficresp, "**********\n#");
+ fprintf(ficresphtm, "**********
\n");
+ fprintf(ficresphtmfr, "**********
\n");
+ fprintf(ficlog, "\n#********** Variable ");
+ for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
+ fprintf(ficlog, "**********\n");
}
- for(i=1; i<=nlstate;i++)
+ fprintf(ficresphtm,"");
+ for(i=1; i<=nlstate;i++) {
fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
+ fprintf(ficresphtm, "Age | Prev(%d) | N(%d) | N | ",i,i);
+ }
fprintf(ficresp, "\n");
+ fprintf(ficresphtm, "\n");
+ /* Header of frequency table by age */
+ fprintf(ficresphtmfr,"");
+ fprintf(ficresphtmfr,"Age | ");
+ for(jk=-1; jk <=nlstate+ndeath; jk++){
+ for(m=-1; m <=nlstate+ndeath; m++){
+ if(jk!=0 && m!=0)
+ fprintf(ficresphtmfr,"%d%d | ",jk,m);
+ }
+ }
+ fprintf(ficresphtmfr, "\n");
+
+ /* For each age */
for(i=iagemin; i <= iagemax+3; i++){
- if(i==iagemax+3){
+ fprintf(ficresphtm,"");
+ if(i==iagemax+1){
+ fprintf(ficlog,"1");
+ fprintf(ficresphtmfr,"
0 | ");
+ }else if(i==iagemax+2){
+ fprintf(ficlog,"0");
+ fprintf(ficresphtmfr,"
---|
Unknown | ");
+ }else if(i==iagemax+3){
fprintf(ficlog,"Total");
+ fprintf(ficresphtmfr,"
---|
Total | ");
}else{
if(first==1){
first=0;
printf("See log file for details...\n");
}
+ fprintf(ficresphtmfr,"
---|
%d | ",i);
fprintf(ficlog,"Age %d", i);
}
for(jk=1; jk <=nlstate ; jk++){
@@ -2026,7 +3432,7 @@ fprintf(ficresp, "#Local time at start:
pos += freq[jk][m][i];
if(pp[jk]>=1.e-10){
if(first==1){
- printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
+ printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
}
fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
}else{
@@ -2057,32 +3463,47 @@ fprintf(ficresp, "#Local time at start:
if( i <= iagemax){
if(pos>=1.e-5){
fprintf(ficresp," %d %.5f %.0f %.0f",i,prop[jk][i]/posprop, prop[jk][i],posprop);
+ fprintf(ficresphtm,"%d | %.5f | %.0f | %.0f | ",i,prop[jk][i]/posprop, prop[jk][i],posprop);
/*probs[i][jk][j1]= pp[jk]/pos;*/
/*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/
}
- else
+ else{
fprintf(ficresp," %d NaNq %.0f %.0f",i,prop[jk][i],posprop);
+ fprintf(ficresphtm,"%d | NaNq | %.0f | %.0f | ",i, prop[jk][i],posprop);
+ }
}
}
- for(jk=-1; jk <=nlstate+ndeath; jk++)
- for(m=-1; m <=nlstate+ndeath; m++)
- if(freq[jk][m][i] !=0 ) {
- if(first==1)
- printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);
+ for(jk=-1; jk <=nlstate+ndeath; jk++){
+ for(m=-1; m <=nlstate+ndeath; m++){
+ if(freq[jk][m][i] !=0 ) { /* minimizing output */
+ if(first==1){
+ printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);
+ }
fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]);
}
- if(i <= iagemax)
+ if(jk!=0 && m!=0)
+ fprintf(ficresphtmfr,"%.0f | ",freq[jk][m][i]);
+ }
+ }
+ fprintf(ficresphtmfr,"
\n ");
+ if(i <= iagemax){
fprintf(ficresp,"\n");
+ fprintf(ficresphtm,"\n");
+ }
if(first==1)
printf("Others in log...\n");
fprintf(ficlog,"\n");
- }
- }
- }
+ } /* end loop i */
+ fprintf(ficresphtm,"
\n");
+ fprintf(ficresphtmfr,"
\n");
+ /*}*/
+ } /* end j1 */
dateintmean=dateintsum/k2cpt;
fclose(ficresp);
+ fclose(ficresphtm);
+ fclose(ficresphtmfr);
free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin, iagemax+3);
free_vector(pp,1,nlstate);
free_matrix(prop,1,nlstate,iagemin, iagemax+3);
@@ -2097,12 +3518,16 @@ void prevalence(double ***probs, double
We still use firstpass and lastpass as another selection.
*/
- int i, m, jk, k1, i1, j1, bool, z1,z2,j;
- double ***freq; /* Frequencies */
- double *pp, **prop;
- double pos,posprop;
+ int i, m, jk, j1, bool, z1,j;
+ int mi; /* Effective wave */
+ int iage;
+ double agebegin, ageend;
+
+ double **prop;
+ double posprop;
double y2; /* in fractional years */
int iagemin, iagemax;
+ int first; /** to stop verbosity which is redirected to log file */
iagemin= (int) agemin;
iagemax= (int) agemax;
@@ -2111,56 +3536,64 @@ void prevalence(double ***probs, double
/* freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/
j1=0;
- j=cptcoveff;
+ /*j=cptcoveff;*/
if (cptcovn<1) {j=1;ncodemax[1]=1;}
- for(k1=1; k1<=j;k1++){
- for(i1=1; i1<=ncodemax[k1];i1++){
- j1++;
-
- for (i=1; i<=nlstate; i++)
- for(m=iagemin; m <= iagemax+3; m++)
- prop[i][m]=0.0;
-
- for (i=1; i<=imx; i++) { /* Each individual */
- bool=1;
- if (cptcovn>0) {
- for (z1=1; z1<=cptcoveff; z1++)
- if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])
- bool=0;
- }
- if (bool==1) {
- for(m=firstpass; m<=lastpass; m++){/* Other selection (we can limit to certain interviews*/
+ first=1;
+ for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){
+ for (i=1; i<=nlstate; i++)
+ for(iage=iagemin; iage <= iagemax+3; iage++)
+ prop[i][iage]=0.0;
+
+ for (i=1; i<=imx; i++) { /* Each individual */
+ bool=1;
+ if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */
+ for (z1=1; z1<=cptcoveff; z1++)
+ if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)])
+ bool=0;
+ }
+ if (bool==1) {
+ /* for(m=firstpass; m<=lastpass; m++){/\* Other selection (we can limit to certain interviews*\/ */
+ for(mi=1; mi=firstpass && m <=lastpass){
y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */
if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */
if(agev[m][i]==0) agev[m][i]=iagemax+1;
if(agev[m][i]==1) agev[m][i]=iagemax+2;
if((int)agev[m][i] iagemax+3) printf("Error on individual =%d agev[m][i]=%f m=%d\n",i, agev[m][i],m);
- if (s[m][i]>0 && s[m][i]<=nlstate) {
+ if (s[m][i]>0 && s[m][i]<=nlstate) {
/*if(i>4620) printf(" i=%d m=%d s[m][i]=%d (int)agev[m][i]=%d weight[i]=%f prop=%f\n",i,m,s[m][i],(int)agev[m][m],weight[i],prop[s[m][i]][(int)agev[m][i]]);*/
- prop[s[m][i]][(int)agev[m][i]] += weight[i];
- prop[s[m][i]][iagemax+3] += weight[i];
- }
- }
+ prop[s[m][i]][(int)agev[m][i]] += weight[i];/* At age of beginning of transition, where status is known */
+ prop[s[m][i]][iagemax+3] += weight[i];
+ } /* end valid statuses */
+ } /* end selection of dates */
} /* end selection of waves */
- }
- }
- for(i=iagemin; i <= iagemax+3; i++){
-
- for(jk=1,posprop=0; jk <=nlstate ; jk++) {
- posprop += prop[jk][i];
- }
-
- for(jk=1; jk <=nlstate ; jk++){
- if( i <= iagemax){
- if(posprop>=1.e-5){
- probs[i][jk][j1]= prop[jk][i]/posprop;
- }
- }
- }/* end jk */
- }/* end i */
- } /* end i1 */
- } /* end k1 */
+ } /* end effective waves */
+ } /* end bool */
+ }
+ for(i=iagemin; i <= iagemax+3; i++){
+ for(jk=1,posprop=0; jk <=nlstate ; jk++) {
+ posprop += prop[jk][i];
+ }
+
+ for(jk=1; jk <=nlstate ; jk++){
+ if( i <= iagemax){
+ if(posprop>=1.e-5){
+ probs[i][jk][j1]= prop[jk][i]/posprop;
+ } else{
+ if(first==1){
+ first=0;
+ printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\nSee others on log file...\n",jk,i,j1,probs[i][jk][j1]);
+ }
+ }
+ }
+ }/* end jk */
+ }/* end i */
+ /*} *//* end i1 */
+ } /* end j1 */
/* free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/
/*free_vector(pp,1,nlstate);*/
@@ -2181,31 +3614,61 @@ void concatwav(int wav[], int **dh, int
int i, mi, m;
/* int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1;
double sum=0., jmean=0.;*/
- int first;
+ int first, firstwo;
int j, k=0,jk, ju, jl;
double sum=0.;
first=0;
- jmin=1e+5;
+ firstwo=0;
+ jmin=100000;
jmax=-1;
jmean=0.;
- for(i=1; i<=imx; i++){
+ for(i=1; i<=imx; i++){ /* For simple cases and if state is death */
mi=0;
m=firstpass;
- while(s[m][i] <= nlstate){
- if(s[m][i]>=1 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5)
+ while(s[m][i] <= nlstate){ /* a live state */
+ if(s[m][i]>=1 || s[m][i]==-4 || s[m][i]==-5){ /* Since 0.98r4 if status=-2 vital status is really unknown, wave should be skipped */
mw[++mi][i]=m;
- if(m >=lastpass)
+ }
+ if(m >=lastpass){
+ if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){
+ printf("Information! Unknown health status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m);
+ fprintf(ficlog,"Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m);
+ mw[++mi][i]=m;
+ }
+ if(s[m][i]==-2){ /* Vital status is really unknown */
+ nbwarn++;
+ if((int)anint[m][i] == 9999){ /* Has the vital status really been verified? */
+ printf("Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m);
+ fprintf(ficlog,"Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m);
+ }
+ break;
+ }
break;
+ }
else
m++;
}/* end while */
- if (s[m][i] > nlstate){
+
+ /* After last pass */
+ if (s[m][i] > nlstate){ /* In a death state */
mi++; /* Death is another wave */
/* if(mi==0) never been interviewed correctly before death */
/* Only death is a correct wave */
mw[mi][i]=m;
+ }else if ((int) andc[i] != 9999) { /* Status is either death or negative. A death occured after lastpass, we can't take it into account because of potential bias */
+ /* m++; */
+ /* mi++; */
+ /* s[m][i]=nlstate+1; /\* We are setting the status to the last of non live state *\/ */
+ /* mw[mi][i]=m; */
+ nberr++;
+ if(firstwo==0){
+ printf("Error! Death for individual %ld line=%d occurred %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m );
+ fprintf(ficlog,"Error! Death for individual %ld line=%d occurred %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m );
+ firstwo=1;
+ }else if(firstwo==1){
+ fprintf(ficlog,"Error! Death for individual %ld line=%d occurred %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m );
+ }
}
-
wav[i]=mi;
if(mi==0){
nbwarn++;
@@ -2218,7 +3681,9 @@ void concatwav(int wav[], int **dh, int
}
} /* end mi==0 */
} /* End individuals */
+ /* wav and mw are no more changed */
+
for(i=1; i<=imx; i++){
for(mi=1; mi 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0 */
+ /* Finds for covariate j, n=Tvar[j] of Vn . ij is the
+ modality of the nth covariate of individual i. */
+ if (ij > modmaxcovj)
+ modmaxcovj=ij;
+ else if (ij < modmincovj)
+ modmincovj=ij;
+ if ((ij < -1) && (ij > NCOVMAX)){
+ printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX );
+ exit(1);
+ }else
+ Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/
+ /* If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */
/*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/
- if (ij > cptcode) cptcode=ij; /* getting the maximum of covariable
- Tvar[j]. If V=sex and male is 0 and
- female is 1, then cptcode=1.*/
- }
-
- for (i=0; i<=cptcode; i++) {
- if(Ndum[i]!=0) ncodemax[j]++; /* Nomber of modalities of the j th covariates. In fact ncodemax[j]=2 (dichotom. variables) but it can be more */
- }
-
- ij=1;
- for (i=1; i<=ncodemax[j]; i++) {
- for (k=0; k<= maxncov; k++) {
- if (Ndum[k] != 0) {
- nbcode[Tvar[j]][ij]=k;
- /* store the modality in an array. k is a modality. If we have model=V1+V1*sex then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */
-
- ij++;
+ /* getting the maximum value of the modality of the covariate
+ (should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and
+ female is 1, then modmaxcovj=1.*/
+ } /* 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 (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, 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 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=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;
}
- if (ij > ncodemax[j]) break;
- }
- }
- }
-
- for (k=0; k< maxncov; k++) Ndum[k]=0;
-
- for (i=1; i<=ncovmodel-2; i++) {
- /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/
- ij=Tvar[i];
- Ndum[ij]++;
- }
-
- ij=1;
- for (i=1; i<= maxncov; i++) {
+ 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-nagesqr; i++) { /* -2, cste and age and eventually age*age */
+ /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/
+ ij=Tvar[i]; /* Tvar might be -1 if status was unknown */
+ Ndum[ij]++; /* Might be supersed V1 + V1*age */
+ }
+
+ ij=0;
+ for (i=0; i<= maxncov-1; i++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */
+ /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/
if((Ndum[i]!=0) && (i<=ncovcol)){
- Tvaraff[ij]=i; /*For printing */
ij++;
+ /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/
+ Tvaraff[ij]=i; /*For printing (unclear) */
+ }else{
+ /* Tvaraff[ij]=0; */
}
}
-
- cptcoveff=ij-1; /*Number of simple covariates*/
+ /* ij--; */
+ cptcoveff=ij; /*Number of total covariates*/
+
}
+
/*********** Health Expectancies ****************/
-void evsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int ij, int estepm,double delti[],double **matcov,char strstart[] )
+void evsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,char strstart[] )
+
+{
+ /* Health expectancies, no variances */
+ int i, j, nhstepm, hstepm, h, nstepm;
+ int nhstepma, nstepma; /* Decreasing with age */
+ double age, agelim, hf;
+ double ***p3mat;
+ double eip;
+
+ pstamp(ficreseij);
+ fprintf(ficreseij,"# (a) Life expectancies by health status at initial age and (b) health expectancies by health status at initial age\n");
+ fprintf(ficreseij,"# Age");
+ for(i=1; i<=nlstate;i++){
+ for(j=1; j<=nlstate;j++){
+ fprintf(ficreseij," e%1d%1d ",i,j);
+ }
+ fprintf(ficreseij," e%1d. ",i);
+ }
+ fprintf(ficreseij,"\n");
+
+
+ if(estepm < stepm){
+ printf ("Problem %d lower than %d\n",estepm, stepm);
+ }
+ else hstepm=estepm;
+ /* We compute the life expectancy from trapezoids spaced every estepm months
+ * This is mainly to measure the difference between two models: for example
+ * if stepm=24 months pijx are given only every 2 years and by summing them
+ * we are calculating an estimate of the Life Expectancy assuming a linear
+ * progression in between and thus overestimating or underestimating according
+ * to the curvature of the survival function. If, for the same date, we
+ * estimate the model with stepm=1 month, we can keep estepm to 24 months
+ * to compare the new estimate of Life expectancy with the same linear
+ * hypothesis. A more precise result, taking into account a more precise
+ * curvature will be obtained if estepm is as small as stepm. */
+
+ /* For example we decided to compute the life expectancy with the smallest unit */
+ /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm.
+ nhstepm is the number of hstepm from age to agelim
+ nstepm is the number of stepm from age to agelin.
+ Look at hpijx to understand the reason of that which relies in memory size
+ and note for a fixed period like estepm months */
+ /* We decided (b) to get a life expectancy respecting the most precise curvature of the
+ survival function given by stepm (the optimization length). Unfortunately it
+ means that if the survival funtion is printed only each two years of age and if
+ you sum them up and add 1 year (area under the trapezoids) you won't get the same
+ results. So we changed our mind and took the option of the best precision.
+ */
+ hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */
+
+ agelim=AGESUP;
+ /* If stepm=6 months */
+ /* Computed by stepm unit matrices, product of hstepm matrices, stored
+ in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */
+
+/* nhstepm age range expressed in number of stepm */
+ nstepm=(int) rint((agelim-bage)*YEARM/stepm); /* Biggest nstepm */
+ /* Typically if 20 years nstepm = 20*12/6=40 stepm */
+ /* if (stepm >= YEARM) hstepm=1;*/
+ nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
+ p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+
+ for (age=bage; age<=fage; age ++){
+ nstepma=(int) rint((agelim-bage)*YEARM/stepm); /* Biggest nstepm */
+ /* Typically if 20 years nstepm = 20*12/6=40 stepm */
+ /* if (stepm >= YEARM) hstepm=1;*/
+ nhstepma = nstepma/hstepm;/* Expressed in hstepm, typically nhstepma=40/4=10 */
+
+ /* If stepm=6 months */
+ /* Computed by stepm unit matrices, product of hstepma matrices, stored
+ in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */
+
+ hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij);
+
+ hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */
+
+ printf("%d|",(int)age);fflush(stdout);
+ fprintf(ficlog,"%d|",(int)age);fflush(ficlog);
+
+ /* Computing expectancies */
+ for(i=1; i<=nlstate;i++)
+ for(j=1; j<=nlstate;j++)
+ for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){
+ eij[i][j][(int)age] += (p3mat[i][j][h]+p3mat[i][j][h+1])/2.0*hf;
+
+ /* if((int)age==70)printf("i=%2d,j=%2d,h=%2d,age=%3d,%9.4f,%9.4f,%9.4f\n",i,j,h,(int)age,p3mat[i][j][h],hf,eij[i][j][(int)age]);*/
+
+ }
+
+ fprintf(ficreseij,"%3.0f",age );
+ for(i=1; i<=nlstate;i++){
+ eip=0;
+ for(j=1; j<=nlstate;j++){
+ eip +=eij[i][j][(int)age];
+ fprintf(ficreseij,"%9.4f", eij[i][j][(int)age] );
+ }
+ fprintf(ficreseij,"%9.4f", eip );
+ }
+ fprintf(ficreseij,"\n");
+
+ }
+ free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+ printf("\n");
+ fprintf(ficlog,"\n");
+
+}
+
+void cvevsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,double delti[],double **matcov,char strstart[] )
{
- /* Health expectancies */
- int i, j, nhstepm, hstepm, h, nstepm, k, cptj;
+ /* Covariances of health expectancies eij and of total life expectancies according
+ to initial status i, ei. .
+ */
+ int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2, ij, ji;
+ int nhstepma, nstepma; /* Decreasing with age */
double age, agelim, hf;
- double ***p3mat,***varhe;
+ double ***p3matp, ***p3matm, ***varhe;
double **dnewm,**doldm;
- double *xp;
+ double *xp, *xm;
double **gp, **gm;
double ***gradg, ***trgradg;
int theta;
+ double eip, vip;
+
varhe=ma3x(1,nlstate*nlstate,1,nlstate*nlstate,(int) bage, (int) fage);
xp=vector(1,npar);
+ xm=vector(1,npar);
dnewm=matrix(1,nlstate*nlstate,1,npar);
doldm=matrix(1,nlstate*nlstate,1,nlstate*nlstate);
- fprintf(ficreseij,"# Local time at start: %s", strstart);
- fprintf(ficreseij,"# Health expectancies\n");
- fprintf(ficreseij,"# Age");
- for(i=1; i<=nlstate;i++)
+ pstamp(ficresstdeij);
+ fprintf(ficresstdeij,"# Health expectancies with standard errors\n");
+ fprintf(ficresstdeij,"# Age");
+ for(i=1; i<=nlstate;i++){
for(j=1; j<=nlstate;j++)
- fprintf(ficreseij," %1d-%1d (SE)",i,j);
- fprintf(ficreseij,"\n");
+ fprintf(ficresstdeij," e%1d%1d (SE)",i,j);
+ fprintf(ficresstdeij," e%1d. ",i);
+ }
+ fprintf(ficresstdeij,"\n");
+ pstamp(ficrescveij);
+ fprintf(ficrescveij,"# Subdiagonal matrix of covariances of health expectancies by age: cov(eij,ekl)\n");
+ fprintf(ficrescveij,"# Age");
+ for(i=1; i<=nlstate;i++)
+ for(j=1; j<=nlstate;j++){
+ cptj= (j-1)*nlstate+i;
+ for(i2=1; i2<=nlstate;i2++)
+ for(j2=1; j2<=nlstate;j2++){
+ cptj2= (j2-1)*nlstate+i2;
+ if(cptj2 <= cptj)
+ fprintf(ficrescveij," %1d%1d,%1d%1d",i,j,i2,j2);
+ }
+ }
+ fprintf(ficrescveij,"\n");
+
if(estepm < stepm){
printf ("Problem %d lower than %d\n",estepm, stepm);
}
@@ -2425,77 +4093,69 @@ void evsij(char fileres[], double ***eij
*/
hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */
+ /* If stepm=6 months */
+ /* nhstepm age range expressed in number of stepm */
agelim=AGESUP;
- for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
- /* nhstepm age range expressed in number of stepm */
- nstepm=(int) rint((agelim-age)*YEARM/stepm);
+ nstepm=(int) rint((agelim-bage)*YEARM/stepm);
+ /* Typically if 20 years nstepm = 20*12/6=40 stepm */
+ /* if (stepm >= YEARM) hstepm=1;*/
+ nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
+
+ p3matp=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+ p3matm=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+ gradg=ma3x(0,nhstepm,1,npar,1,nlstate*nlstate);
+ trgradg =ma3x(0,nhstepm,1,nlstate*nlstate,1,npar);
+ gp=matrix(0,nhstepm,1,nlstate*nlstate);
+ gm=matrix(0,nhstepm,1,nlstate*nlstate);
+
+ for (age=bage; age<=fage; age ++){
+ nstepma=(int) rint((agelim-bage)*YEARM/stepm); /* Biggest nstepm */
/* Typically if 20 years nstepm = 20*12/6=40 stepm */
/* if (stepm >= YEARM) hstepm=1;*/
- nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
- p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
- gradg=ma3x(0,nhstepm,1,npar,1,nlstate*nlstate);
- gp=matrix(0,nhstepm,1,nlstate*nlstate);
- gm=matrix(0,nhstepm,1,nlstate*nlstate);
-
- /* Computed by stepm unit matrices, product of hstepm matrices, stored
- in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */
- hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, ij);
-
+ nhstepma = nstepma/hstepm;/* Expressed in hstepm, typically nhstepma=40/4=10 */
+ /* If stepm=6 months */
+ /* Computed by stepm unit matrices, product of hstepma matrices, stored
+ in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */
+
hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */
/* Computing Variances of health expectancies */
-
- for(theta=1; theta <=npar; theta++){
+ /* Gradient is computed with plus gp and minus gm. Code is duplicated in order to
+ decrease memory allocation */
+ for(theta=1; theta <=npar; theta++){
for(i=1; i<=npar; i++){
xp[i] = x[i] + (i==theta ?delti[theta]:0);
+ xm[i] = x[i] - (i==theta ?delti[theta]:0);
}
- hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
+ hpxij(p3matp,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, cij);
+ hpxij(p3matm,nhstepm,age,hstepm,xm,nlstate,stepm,oldm,savm, cij);
- cptj=0;
for(j=1; j<= nlstate; j++){
for(i=1; i<=nlstate; i++){
- cptj=cptj+1;
- for(h=0, gp[h][cptj]=0.; h<=nhstepm-1; h++){
- gp[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.;
+ for(h=0; h<=nhstepm-1; h++){
+ gp[h][(j-1)*nlstate + i] = (p3matp[i][j][h]+p3matp[i][j][h+1])/2.;
+ gm[h][(j-1)*nlstate + i] = (p3matm[i][j][h]+p3matm[i][j][h+1])/2.;
}
}
}
-
- for(i=1; i<=npar; i++)
- xp[i] = x[i] - (i==theta ?delti[theta]:0);
- hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
-
- cptj=0;
- for(j=1; j<= nlstate; j++){
- for(i=1;i<=nlstate;i++){
- cptj=cptj+1;
- for(h=0, gm[h][cptj]=0.; h<=nhstepm-1; h++){
-
- gm[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.;
- }
- }
- }
- for(j=1; j<= nlstate*nlstate; j++)
+ for(ij=1; ij<= nlstate*nlstate; ij++)
for(h=0; h<=nhstepm-1; h++){
- gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
+ gradg[h][theta][ij]= (gp[h][ij]-gm[h][ij])/2./delti[theta];
}
- }
-
-/* End theta */
-
- trgradg =ma3x(0,nhstepm,1,nlstate*nlstate,1,npar);
-
- for(h=0; h<=nhstepm-1; h++)
+ }/* End theta */
+
+
+ for(h=0; h<=nhstepm-1; h++)
for(j=1; j<=nlstate*nlstate;j++)
for(theta=1; theta <=npar; theta++)
trgradg[h][j][theta]=gradg[h][theta][j];
-
+
- for(i=1;i<=nlstate*nlstate;i++)
- for(j=1;j<=nlstate*nlstate;j++)
- varhe[i][j][(int)age] =0.;
+ for(ij=1;ij<=nlstate*nlstate;ij++)
+ for(ji=1;ji<=nlstate*nlstate;ji++)
+ varhe[ij][ji][(int)age] =0.;
printf("%d|",(int)age);fflush(stdout);
fprintf(ficlog,"%d|",(int)age);fflush(ficlog);
@@ -2503,39 +4163,61 @@ void evsij(char fileres[], double ***eij
for(k=0;k<=nhstepm-1;k++){
matprod2(dnewm,trgradg[h],1,nlstate*nlstate,1,npar,1,npar,matcov);
matprod2(doldm,dnewm,1,nlstate*nlstate,1,npar,1,nlstate*nlstate,gradg[k]);
- for(i=1;i<=nlstate*nlstate;i++)
- for(j=1;j<=nlstate*nlstate;j++)
- varhe[i][j][(int)age] += doldm[i][j]*hf*hf;
+ for(ij=1;ij<=nlstate*nlstate;ij++)
+ for(ji=1;ji<=nlstate*nlstate;ji++)
+ varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf;
}
}
+
/* Computing expectancies */
+ hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij);
for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate;j++)
for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){
- eij[i][j][(int)age] += (p3mat[i][j][h]+p3mat[i][j][h+1])/2.0*hf;
+ eij[i][j][(int)age] += (p3matm[i][j][h]+p3matm[i][j][h+1])/2.0*hf;
-/* if((int)age==70)printf("i=%2d,j=%2d,h=%2d,age=%3d,%9.4f,%9.4f,%9.4f\n",i,j,h,(int)age,p3mat[i][j][h],hf,eij[i][j][(int)age]);*/
+ /* if((int)age==70)printf("i=%2d,j=%2d,h=%2d,age=%3d,%9.4f,%9.4f,%9.4f\n",i,j,h,(int)age,p3mat[i][j][h],hf,eij[i][j][(int)age]);*/
}
- fprintf(ficreseij,"%3.0f",age );
- cptj=0;
+ fprintf(ficresstdeij,"%3.0f",age );
+ for(i=1; i<=nlstate;i++){
+ eip=0.;
+ vip=0.;
+ for(j=1; j<=nlstate;j++){
+ eip += eij[i][j][(int)age];
+ for(k=1; k<=nlstate;k++) /* Sum on j and k of cov(eij,eik) */
+ vip += varhe[(j-1)*nlstate+i][(k-1)*nlstate+i][(int)age];
+ fprintf(ficresstdeij," %9.4f (%.4f)", eij[i][j][(int)age], sqrt(varhe[(j-1)*nlstate+i][(j-1)*nlstate+i][(int)age]) );
+ }
+ fprintf(ficresstdeij," %9.4f (%.4f)", eip, sqrt(vip));
+ }
+ fprintf(ficresstdeij,"\n");
+
+ fprintf(ficrescveij,"%3.0f",age );
for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate;j++){
- cptj++;
- fprintf(ficreseij," %9.4f (%.4f)", eij[i][j][(int)age], sqrt(varhe[cptj][cptj][(int)age]) );
+ cptj= (j-1)*nlstate+i;
+ for(i2=1; i2<=nlstate;i2++)
+ for(j2=1; j2<=nlstate;j2++){
+ cptj2= (j2-1)*nlstate+i2;
+ if(cptj2 <= cptj)
+ fprintf(ficrescveij," %.4f", varhe[cptj][cptj2][(int)age]);
+ }
}
- fprintf(ficreseij,"\n");
+ fprintf(ficrescveij,"\n");
- free_matrix(gm,0,nhstepm,1,nlstate*nlstate);
- free_matrix(gp,0,nhstepm,1,nlstate*nlstate);
- free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate*nlstate);
- free_ma3x(trgradg,0,nhstepm,1,nlstate*nlstate,1,npar);
- free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
}
+ free_matrix(gm,0,nhstepm,1,nlstate*nlstate);
+ free_matrix(gp,0,nhstepm,1,nlstate*nlstate);
+ free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate*nlstate);
+ free_ma3x(trgradg,0,nhstepm,1,nlstate*nlstate,1,npar);
+ free_ma3x(p3matm,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+ free_ma3x(p3matp,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
printf("\n");
fprintf(ficlog,"\n");
+ free_vector(xm,1,npar);
free_vector(xp,1,npar);
free_matrix(dnewm,1,nlstate*nlstate,1,npar);
free_matrix(doldm,1,nlstate*nlstate,1,nlstate*nlstate);
@@ -2543,15 +4225,18 @@ void evsij(char fileres[], double ***eij
}
/************ Variance ******************/
-void varevsij(char optionfilefiname[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, 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 *ncvyearp, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[])
{
/* Variance of health expectancies */
/* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/
/* double **newm;*/
+ /* int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav)*/
+
+ int movingaverage();
double **dnewm,**doldm;
double **dnewmp,**doldmp;
int i, j, nhstepm, hstepm, h, nstepm ;
- int k, cptcode;
+ int k;
double *xp;
double **gp, **gm; /* for var eij */
double ***gradg, ***trgradg; /*for var eij */
@@ -2569,11 +4254,11 @@ 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);
@@ -2583,20 +4268,19 @@ 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);
}
printf("Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
-
fprintf(ficlog,"Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
- fprintf(ficresprobmorprev, "#Local time at start: %s", strstart);
+ pstamp(ficresprobmorprev);
fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()\n",estepm);
fprintf(ficresprobmorprev,"# Age cov=%-d",ij);
for(j=nlstate+1; j<=(nlstate+ndeath);j++){
@@ -2605,18 +4289,24 @@ void varevsij(char optionfilefiname[], d
fprintf(ficresprobmorprev," w%1d p%-d%-d",i,i,j);
}
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);
/* } */
varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
- fprintf(ficresvij, "#Local time at start: %s", strstart);
- fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n# (weighted average of eij where weights are the stable prevalence in health states i\n");
+ pstamp(ficresvij);
+ fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n# (weighted average of eij where weights are ");
+ if(popbased==1)
+ fprintf(ficresvij,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d\n",mobilav);
+ else
+ fprintf(ficresvij,"the age specific period (stable) prevalences in each health state \n");
fprintf(ficresvij,"# Age");
for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate;j++)
- fprintf(ficresvij," Cov(e%1d, e%1d)",i,j);
+ fprintf(ficresvij," Cov(e.%1d, e.%1d)",i,j);
fprintf(ficresvij,"\n");
xp=vector(1,npar);
@@ -2637,10 +4327,9 @@ void varevsij(char optionfilefiname[], d
/* For example we decided to compute the life expectancy with the smallest unit */
/* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm.
nhstepm is the number of hstepm from age to agelim
- nstepm is the number of stepm from age to agelin.
- Look at hpijx to understand the reason of that which relies in memory size
- and note for a fixed period like k years */
- /* We decided (b) to get a life expectancy respecting the most precise curvature of the
+ nstepm is the number of stepm from age to agelim.
+ Look at function hpijx to understand why because of memory size limitations,
+ we decided (b) to get a life expectancy respecting the most precise curvature of the
survival function given by stepm (the optimization length). Unfortunately it
means that if the survival funtion is printed every two years of age and if
you sum them up and add 1 year (area under the trapezoids) you won't get the same
@@ -2661,8 +4350,8 @@ 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,ncvyearp,ij);
if (popbased==1) {
if(mobilav ==0){
@@ -2674,13 +4363,14 @@ void varevsij(char optionfilefiname[], d
}
}
+ hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); /* Returns p3mat[i][j][h] for h=1 to nhstepm */
for(j=1; j<= nlstate; j++){
for(h=0; h<=nhstepm; h++){
for(i=1, gp[h][j]=0.;i<=nlstate;i++)
gp[h][j] += prlim[i][i]*p3mat[i][j][h];
}
}
- /* This for computing probability of death (h=1 means
+ /* Next for computing probability of death (h=1 means
computed over hstepm matrices product = hstepm*stepm months)
as a weighted average of prlim.
*/
@@ -2692,8 +4382,8 @@ 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,ncvyearp, ij);
if (popbased==1) {
if(mobilav ==0){
@@ -2705,7 +4395,9 @@ void varevsij(char optionfilefiname[], d
}
}
- for(j=1; j<= nlstate; j++){
+ hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
+
+ for(j=1; j<= nlstate; j++){ /* Sum of wi * eij = e.j */
for(h=0; h<=nhstepm; h++){
for(i=1, gm[h][j]=0.;i<=nlstate;i++)
gm[h][j] += prlim[i][i]*p3mat[i][j][h];
@@ -2767,8 +4459,8 @@ void varevsij(char optionfilefiname[], d
varppt[j][i]=doldmp[j][i];
/* end ppptj */
/* x centered again */
- hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);
- prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ij);
+
+ prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ncvyearp,ij);
if (popbased==1) {
if(mobilav ==0){
@@ -2784,6 +4476,7 @@ void varevsij(char optionfilefiname[], d
computed over hstepm (estepm) matrices product = hstepm*stepm months)
as a weighted average of prlim.
*/
+ hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);
for(j=nlstate+1;j<=nlstate+ndeath;j++){
for(i=1,gmp[j]=0.;i<= nlstate; i++)
gmp[j] += prlim[i][i]*p3mat[i][j][1];
@@ -2815,21 +4508,23 @@ void varevsij(char optionfilefiname[], d
free_vector(gmp,nlstate+1,nlstate+ndeath);
free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath);
free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/
- fprintf(ficgp,"\nset noparametric;set nolabel; set ter png small;set size 0.65, 0.65");
+ /* fprintf(ficgp,"\nunset parametric;unset label; set ter png small 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; set nolog x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");
+ fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");
+ fprintf(ficgp,"\nset out \"%s%s.svg\";",subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit);
/* fprintf(ficgp,"\n plot \"%s\" u 1:($3*%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); */
/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)*%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */
/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)*%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */
- fprintf(ficgp,"\n plot \"%s\" u 1:($3) not w l 1 ",subdirf(fileresprobmorprev));
- fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95\%% interval\" w l 2 ",subdirf(fileresprobmorprev));
- fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l 2 ",subdirf(fileresprobmorprev));
+ fprintf(ficgp,"\n plot \"%s\" u 1:($3) not w l lt 1 ",subdirf(fileresprobmorprev));
+ fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95%% interval\" w l lt 2 ",subdirf(fileresprobmorprev));
+ fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l lt 2 ",subdirf(fileresprobmorprev));
fprintf(fichtm,"\n
File (multiple files are possible if covariates are present): %s\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));
- fprintf(fichtm,"\n
Probability is computed over estepm=%d months.
\n", estepm,subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);
- /* fprintf(fichtm,"\n
Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year
\n", stepm,YEARM,digitp,digit);
+ fprintf(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);
@@ -2844,21 +4539,22 @@ 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 *ncvyearp, int ij, char strstart[])
{
- /* Variance of prevalence limit */
+ /* Variance of prevalence limit for each state ij using current parameters x[] and estimates of neighbourhood give by delti*/
/* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/
- double **newm;
+
double **dnewm,**doldm;
int i, j, nhstepm, hstepm;
- int k, cptcode;
double *xp;
double *gp, *gm;
double **gradg, **trgradg;
+ double **mgm, **mgp;
double age,agelim;
int theta;
- fprintf(ficresvpl, "#Local time at start: %s", strstart);
- fprintf(ficresvpl,"# Standard deviation of stable prevalences \n");
+
+ pstamp(ficresvpl);
+ fprintf(ficresvpl,"# Standard deviation of period (stable) prevalences \n");
fprintf(ficresvpl,"# Age");
for(i=1; i<=nlstate;i++)
fprintf(ficresvpl," %1d-%1d",i,i);
@@ -2876,6 +4572,8 @@ void varprevlim(char fileres[], double *
if (stepm >= YEARM) hstepm=1;
nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
gradg=matrix(1,npar,1,nlstate);
+ mgp=matrix(1,npar,1,nlstate);
+ mgm=matrix(1,npar,1,nlstate);
gp=vector(1,nlstate);
gm=vector(1,nlstate);
@@ -2883,18 +4581,27 @@ void varprevlim(char fileres[], double *
for(i=1; i<=npar; i++){ /* Computes gradient */
xp[i] = x[i] + (i==theta ?delti[theta]:0);
}
- prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
- for(i=1;i<=nlstate;i++)
+ if((int)age==79 ||(int)age== 80 ||(int)age== 81 )
+ prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij);
+ else
+ prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij);
+ for(i=1;i<=nlstate;i++){
gp[i] = prlim[i][i];
-
+ mgp[theta][i] = prlim[i][i];
+ }
for(i=1; i<=npar; i++) /* Computes gradient */
xp[i] = x[i] - (i==theta ?delti[theta]:0);
- prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
- for(i=1;i<=nlstate;i++)
+ if((int)age==79 ||(int)age== 80 ||(int)age== 81 )
+ prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij);
+ else
+ prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij);
+ for(i=1;i<=nlstate;i++){
gm[i] = prlim[i][i];
-
+ mgm[theta][i] = prlim[i][i];
+ }
for(i=1;i<=nlstate;i++)
gradg[theta][i]= (gp[i]-gm[i])/2./delti[theta];
+ /* gradg[theta][2]= -gradg[theta][1]; */ /* For testing if nlstate=2 */
} /* End theta */
trgradg =matrix(1,nlstate,1,npar);
@@ -2902,11 +4609,34 @@ void varprevlim(char fileres[], double *
for(j=1; j<=nlstate;j++)
for(theta=1; theta <=npar; theta++)
trgradg[j][theta]=gradg[theta][j];
+ /* if((int)age==79 ||(int)age== 80 ||(int)age== 81 ){ */
+ /* printf("\nmgm mgp %d ",(int)age); */
+ /* for(j=1; j<=nlstate;j++){ */
+ /* printf(" %d ",j); */
+ /* for(theta=1; theta <=npar; theta++) */
+ /* printf(" %d %lf %lf",theta,mgm[theta][j],mgp[theta][j]); */
+ /* printf("\n "); */
+ /* } */
+ /* } */
+ /* if((int)age==79 ||(int)age== 80 ||(int)age== 81 ){ */
+ /* printf("\n gradg %d ",(int)age); */
+ /* for(j=1; j<=nlstate;j++){ */
+ /* printf("%d ",j); */
+ /* for(theta=1; theta <=npar; theta++) */
+ /* printf("%d %lf ",theta,gradg[theta][j]); */
+ /* printf("\n "); */
+ /* } */
+ /* } */
for(i=1;i<=nlstate;i++)
varpl[i][(int)age] =0.;
+ if((int)age==79 ||(int)age== 80 ||(int)age== 81){
matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov);
matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);
+ }else{
+ matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov);
+ matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);
+ }
for(i=1;i<=nlstate;i++)
varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */
@@ -2916,6 +4646,8 @@ void varprevlim(char fileres[], double *
fprintf(ficresvpl,"\n");
free_vector(gp,1,nlstate);
free_vector(gm,1,nlstate);
+ free_matrix(mgm,1,npar,1,nlstate);
+ free_matrix(mgp,1,npar,1,nlstate);
free_matrix(gradg,1,npar,1,nlstate);
free_matrix(trgradg,1,nlstate,1,npar);
} /* End age */
@@ -2929,39 +4661,38 @@ void varprevlim(char fileres[], double *
/************ Variance of one-step probabilities ******************/
void varprob(char optionfilefiname[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int *Tvar, int **nbcode, int *ncodemax, char strstart[])
{
- int i, j=0, i1, k1, l1, t, tj;
+ int i, j=0, k1, l1, tj;
int k2, l2, j1, z1;
- int k=0,l, cptcode;
- int first=1, first1;
+ int k=0, l;
+ int first=1, first1, first2;
double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;
double **dnewm,**doldm;
double *xp;
double *gp, *gm;
double **gradg, **trgradg;
double **mu;
- double age,agelim, cov[NCOVMAX];
+ double age, cov[NCOVMAX+1];
double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */
int theta;
char fileresprob[FILENAMELENGTH];
char fileresprobcov[FILENAMELENGTH];
char fileresprobcor[FILENAMELENGTH];
-
double ***varpij;
- strcpy(fileresprob,"prob");
+ 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);
@@ -2972,15 +4703,15 @@ void varprob(char optionfilefiname[], do
fprintf(ficlog,"Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov);
printf("and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
fprintf(ficlog,"and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
- fprintf(ficresprob, "#Local time at start: %s", strstart);
+ pstamp(ficresprob);
fprintf(ficresprob,"#One-step probabilities and stand. devi in ()\n");
fprintf(ficresprob,"# Age");
- fprintf(ficresprobcov, "#Local time at start: %s", strstart);
+ pstamp(ficresprobcov);
fprintf(ficresprobcov,"#One-step probabilities and covariance matrix\n");
fprintf(ficresprobcov,"# Age");
- fprintf(ficresprobcor, "#Local time at start: %s", strstart);
+ pstamp(ficresprobcor);
fprintf(ficresprobcor,"#One-step probabilities and correlation matrix\n");
- fprintf(ficresprobcov,"# Age");
+ fprintf(ficresprobcor,"# Age");
for(i=1; i<=nlstate;i++)
@@ -2993,7 +4724,7 @@ void varprob(char optionfilefiname[], do
fprintf(ficresprobcov,"\n");
fprintf(ficresprobcor,"\n");
*/
- xp=vector(1,npar);
+ xp=vector(1,npar);
dnewm=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
doldm=matrix(1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath));
mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage);
@@ -3003,10 +4734,9 @@ 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\n",optionfilehtmcov);
- fprintf(fichtmcov,"\nMatrix 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 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\nMatrix 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. \
@@ -3018,47 +4748,57 @@ standard deviations wide on each axis. <
To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.
\n");
cov[1]=1;
- tj=cptcoveff;
+ /* tj=cptcoveff; */
+ tj = (int) pow(2,cptcoveff);
if (cptcovn<1) {tj=1;ncodemax[1]=1;}
j1=0;
- for(t=1; t<=tj;t++){
- for(i1=1; i1<=ncodemax[t];i1++){
- j1++;
+ for(j1=1; j1<=tj;j1++){
+ /*for(i1=1; i1<=ncodemax[t];i1++){ */
+ /*j1++;*/
if (cptcovn>0) {
fprintf(ficresprob, "\n#********** Variable ");
- for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][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#");
}
+ gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath));
+ trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
+ gp=vector(1,(nlstate)*(nlstate+ndeath));
+ gm=vector(1,(nlstate)*(nlstate+ndeath));
for (age=bage; age<=fage; age ++){
cov[2]=age;
+ if(nagesqr==1)
+ cov[3]= age*age;
for (k=1; k<=cptcovn;k++) {
- cov[2+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]];
+ cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)];
+ /*cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];*//* j1 1 2 3 4
+ * 1 1 1 1 1
+ * 2 2 1 1 1
+ * 3 1 2 1 1
+ */
+ /* nbcode[1][1]=0 nbcode[1][2]=1;*/
}
- for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
+ /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=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)];
- gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath));
- trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
- gp=vector(1,(nlstate)*(nlstate+ndeath));
- gm=vector(1,(nlstate)*(nlstate+ndeath));
for(theta=1; theta <=npar; theta++){
for(i=1; i<=npar; i++)
@@ -3096,10 +4836,6 @@ To be simple, these graphs help to under
matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov);
matprod2(doldm,dnewm,1,(nlstate)*(nlstate+ndeath),1,npar,1,(nlstate)*(nlstate+ndeath),gradg);
- free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));
- free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));
- free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
- free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
pmij(pmmij,cov,ncovmodel,x,nlstate);
@@ -3133,20 +4869,25 @@ To be simple, these graphs help to under
i=0;
for (k=1; k<=(nlstate);k++){
for (l=1; l<=(nlstate+ndeath);l++){
- i=i++;
+ i++;
fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l);
fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l);
for (j=1; j<=i;j++){
+ /* printf(" k=%d l=%d i=%d j=%d\n",k,l,i,j);fflush(stdout); */
fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]);
fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age]));
}
}
}/* end of loop for state */
} /* end of loop for age */
-
+ free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));
+ free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));
+ free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
+ free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
+
/* Confidence intervalle of pij */
/*
- fprintf(ficgp,"\nset noparametric;unset label");
+ fprintf(ficgp,"\nunset parametric;unset label");
fprintf(ficgp,"\nset log y;unset log x; set xlabel \"Age\";set ylabel \"probability (year-1)\"");
fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65");
fprintf(fichtm,"\n
Probability with confidence intervals expressed in year-1 :pijgr%s.png, ",optionfilefiname,optionfilefiname);
@@ -3156,7 +4897,7 @@ To be simple, these graphs help to under
*/
/* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/
- first1=1;
+ first1=1;first2=2;
for (k2=1; k2<=(nlstate);k2++){
for (l2=1; l2<=(nlstate+ndeath);l2++){
if(l2==k2) continue;
@@ -3177,6 +4918,16 @@ To be simple, these graphs help to under
/* Computing eigen value of matrix of covariance */
lc1=((v1+v2)+sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.;
lc2=((v1+v2)-sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.;
+ if ((lc2 <0) || (lc1 <0) ){
+ if(first2==1){
+ first1=0;
+ printf("Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS. See log file for details...\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);
+ }
+ fprintf(ficlog,"Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS.\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);fflush(ficlog);
+ /* lc1=fabs(lc1); */ /* If we want to have them positive */
+ /* lc2=fabs(lc2); */
+ }
+
/* Eigen vectors */
v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12));
/*v21=sqrt(1.-v11*v11); *//* error */
@@ -3194,17 +4945,18 @@ 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\nset size 0.65,0.65");
+ 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",\
@@ -3221,16 +4973,18 @@ 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 */
} /*l1 */
}/* k1 */
- } /* loop covariates */
+ /* } */ /* loop covariates */
}
free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);
free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);
+ free_matrix(doldm,1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath));
+ free_matrix(dnewm,1,(nlstate)*(nlstate+ndeath),1,npar);
free_vector(xp,1,npar);
fclose(ficresprob);
fclose(ficresprobcov);
@@ -3241,89 +4995,138 @@ 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 ,\
- double jprev1, double mprev1,double anprev1, \
- double jprev2, double mprev2,double anprev2){
+ int popforecast, int prevfcast, int estepm , \
+ double jprev1, double mprev1,double anprev1, double dateprev1, \
+ double jprev2, double mprev2,double anprev2, double dateprev2){
int jj1, k1, i1, cpt;
fprintf(fichtm,"");
- fprintf(fichtm,"- \n \
- - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): %s
\n ",
- jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileres,"p"),subdirf2(fileres,"p"));
+ fprintf(fichtm,"- \n");
+ fprintf(fichtm,"
- - Observed frequency between two states (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): %s (html file)
\n",
+ jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTMFR_",".htm"),subdirfext3(optionfilefiname,"PHTMFR_",".htm"));
+ fprintf(fichtm," - - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): %s (html file) ",
+ jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTM_",".htm"),subdirfext3(optionfilefiname,"PHTM_",".htm"));
+ fprintf(fichtm,", %s (text file)
\n",subdirf2(fileresu,"P_"),subdirf2(fileresu,"P_"));
fprintf(fichtm,"\
- Estimated transition probabilities over %d (stepm) months: %s
\n ",
- stepm,subdirf2(fileres,"pij"),subdirf2(fileres,"pij"));
+ stepm,subdirf2(fileresu,"PIJ_"),subdirf2(fileresu,"PIJ_"));
fprintf(fichtm,"\
- - Stable prevalence in each health state: %s
\n",
- subdirf2(fileres,"pl"),subdirf2(fileres,"pl"));
+ - Period (stable) prevalence in each health state: %s
\n",
+ subdirf2(fileresu,"PL_"),subdirf2(fileresu,"PL_"));
fprintf(fichtm,"\
- - Life expectancies by age and initial health status (estepm=%2d months): \
- %s
\n ",
- estepm,subdirf2(fileres,"e"),subdirf2(fileres,"e"));
+ - (a) Life expectancies by health status at initial age, ei. (b) health expectancies by health status at initial age, eij . If one or more covariates are included, specific tables for each value of the covariate are output in sequences within the same file (estepm=%2d months): \
+ %s
\n",
+ estepm,subdirf2(fileresu,"E_"),subdirf2(fileresu,"E_"));
+ if(prevfcast==1){
+ fprintf(fichtm,"\
+ - Prevalence projections by age and states: \
+ %s
\n
", subdirf2(fileresu,"F_"),subdirf2(fileresu,"F_"));
+ }
fprintf(fichtm," \n- Graphs
");
- m=cptcoveff;
+ m=pow(2,cptcoveff);
if (cptcovn < 1) {m=1;ncodemax[1]=1;}
jj1=0;
for(k1=1; k1<=m;k1++){
- for(i1=1; i1<=ncodemax[k1];i1++){
+ /* 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 (yours is: 1+age+%s), for example: logit(pij)=log(pij/pii)= aij+ bij age + V1 age + etc. as a function of age: %s_%d-1.svg
\
+",model,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1);
/* Pij */
- fprintf(fichtm,"
- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: %s%d1.png
\
-",stepm,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%d2.png
\
-",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);
- /* Stable prevalence in each health state */
- for(cpt=1; cpt- Stable prevalence in each health state : p%s%d%d.png
\
-",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 each live state and total.\
+ Or probability to survive in various states (1 to %d) being in state %d at different ages.\
+ %s%d_%d.svg
", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1);
+ }
+ /* Period (stable) prevalence in each health state */
+ for(cpt=1; cpt<=nlstate;cpt++){
+ fprintf(fichtm,"
\n- Convergence to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. %s%d_%d.svg
\
+", cpt, cpt, nlstate, subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1);
+ }
+ if(prevfcast==1){
+ /* Projection of prevalence up to period (stable) prevalence in each health state */
+ for(cpt=1; cpt<=nlstate;cpt++){
+ fprintf(fichtm,"
\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f) up to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. %s%d_%d.svg
\
+", dateprev1, dateprev2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1);
+ }
+ }
+
for(cpt=1; cpt<=nlstate;cpt++) {
- fprintf(fichtm,"\n
- Health life expectancies by age and initial health state (%d): %s%d%d.png
\
-",cpt,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
- \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(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(fileresu,"STDE_"),subdirf2(fileresu,"STDE_"));
fprintf(fichtm,"\
- - Variances and covariances of life expectancies by age and initial health status (estepm=%d months): %s
\n",
- estepm, subdirf2(fileres,"v"),subdirf2(fileres,"v"));
+ - 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(fileresu,"V_"),subdirf2(fileresu,"V_"));
fprintf(fichtm,"\
- - Health expectancies with their variances (no covariance): %s
\n",
- subdirf2(fileres,"t"),subdirf2(fileres,"t"));
+ - 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(fileresu,"T_"),subdirf2(fileresu,"T_"));
fprintf(fichtm,"\
- - Standard deviation of stable prevalences: %s
\n",\
- subdirf2(fileres,"vpl"),subdirf2(fileres,"vpl"));
+ - Standard deviation of period (stable) prevalences: %s
\n",\
+ subdirf2(fileresu,"VPL_"),subdirf2(fileresu,"VPL_"));
/* if(popforecast==1) fprintf(fichtm,"\n */
/* - Prevalences forecasting: f%s
\n */
@@ -3334,39 +5137,44 @@ fprintf(fichtm," \n- Graphs
fflush(fichtm);
fprintf(fichtm,"
- Graphs
");
- m=cptcoveff;
+ m=pow(2,cptcoveff);
if (cptcovn < 1) {m=1;ncodemax[1]=1;}
jj1=0;
for(k1=1; k1<=m;k1++){
- for(i1=1; i1<=ncodemax[k1];i1++){
+ /* 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,subdirf2(optionfilefiname,"V_"),cpt,jj1);
}
fprintf(fichtm,"\n
- Total life expectancy by age and \
-health expectancies in states (1) and (2): %s%d.png
\
-",subdirf2(optionfilefiname,"e"),jj1,subdirf2(optionfilefiname,"e"),jj1);
- } /* end i1 */
+health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \
+true period expectancies (those weighted with period prevalences are also\
+ drawn in addition to the population based expectancies computed using\
+ observed and cahotic prevalences: %s_%d.svg
\
+",subdirf2(optionfilefiname,"E_"),jj1,subdirf2(optionfilefiname,"E_"),jj1,subdirf2(optionfilefiname,"E_"),jj1);
+ /* } /\* end i1 *\/ */
}/* End k1 */
fprintf(fichtm,"
");
fflush(fichtm);
}
/******************* Gnuplot file **************/
-void printinggnuplot(char fileres[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){
+ void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , int prevfcast, char pathc[], double p[]){
char dirfileres[132],optfileres[132];
- int m,cpt,k1,i,k,j,jk,k2,k3,ij,l;
- int ng;
+ int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0;
+ int lv=0, vlv=0, kl=0;
+ int ng=0;
+ int vpopbased;
/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */
/* printf("Problem with file %s",optionfilegnuplot); */
/* fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */
@@ -3377,76 +5185,143 @@ void printinggnuplot(char fileres[], cha
/*#endif */
m=pow(2,cptcoveff);
+ /* Contribution to likelihood */
+ /* Plot the probability implied in the likelihood */
+ fprintf(ficgp,"\n# Contributions to the Likelihood, mle >=1. For mle=4 no interpolation, pure matrix products.\n#\n");
+ fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Likelihood (-2Log(L))\";");
+ /* fprintf(ficgp,"\nset ter svg size 640, 480"); */ /* Too big for svg */
+ fprintf(ficgp,"\nset ter pngcairo size 640, 480");
+/* nice for mle=4 plot by number of matrix products.
+ replot "rrtest1/toto.txt" u 2:($4 == 1 && $5==2 ? $9 : 1/0):5 t "p12" with point lc 1 */
+/* replot exp(p1+p2*x)/(1+exp(p1+p2*x)+exp(p3+p4*x)+exp(p5+p6*x)) t "p12(x)" */
+ /* fprintf(ficgp,"\nset out \"%s.svg\";",subdirf2(optionfilefiname,"ILK_")); */
+ fprintf(ficgp,"\nset out \"%s-dest.png\";",subdirf2(optionfilefiname,"ILK_"));
+ fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$13):6 t \"All sample, transitions colored by destination\" with dots lc variable; set out;\n",subdirf(fileresilk));
+ fprintf(ficgp,"\nset out \"%s-ori.png\";",subdirf2(optionfilefiname,"ILK_"));
+ fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$13):5 t \"All sample, transitions colored by origin\" with dots lc variable; set out;\n\n",subdirf(fileresilk));
+ for (i=1; i<= nlstate ; i ++) {
+ fprintf(ficgp,"\nset out \"%s-p%dj.png\";set ylabel \"Probability for each individual/wave\";",subdirf2(optionfilefiname,"ILK_"),i);
+ fprintf(ficgp,"unset log;\n# plot weighted, mean weight should have point size of 0.5\n plot \"%s\"",subdirf(fileresilk));
+ fprintf(ficgp," u 2:($5 == %d && $6==%d ? $10 : 1/0):($12/4.):6 t \"p%d%d\" with points pointtype 7 ps variable lc variable \\\n",i,1,i,1);
+ for (j=2; j<= nlstate+ndeath ; j ++) {
+ fprintf(ficgp,",\\\n \"\" u 2:($5 == %d && $6==%d ? $10 : 1/0):($12/4.):6 t \"p%d%d\" with points pointtype 7 ps variable lc variable ",i,j,i,j);
+ }
+ fprintf(ficgp,";\nset out; unset ylabel;\n");
+ }
+ /* unset log; plot "rrtest1_sorted_4/ILK_rrtest1_sorted_4.txt" u 2:($4 == 1 && $5==2 ? $9 : 1/0):5 t "p12" with points lc variable */
+ /* fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$11):3 t \"All sample, all transitions\" with dots lc variable",subdirf(fileresilk)); */
+ /* fprintf(ficgp,"\nreplot \"%s\" u 2:($3 <= 3 ? -$11 : 1/0):3 t \"First 3 individuals\" with line lc variable", subdirf(fileresilk)); */
+ fprintf(ficgp,"\nset out;unset log\n");
+ /* fprintf(ficgp,"\nset out \"%s.svg\"; replot; set out; # bug gnuplot",subdirf2(optionfilefiname,"ILK_")); */
+
strcpy(dirfileres,optionfilefiname);
strcpy(optfileres,"vpl");
/* 1eme*/
- for (cpt=1; cpt<= nlstate ; cpt ++) {
- for (k1=1; k1<= m ; k1 ++) {
- 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);
+ for (cpt=1; cpt<= nlstate ; cpt ++) { /* For each live state */
+ for (k1=1; k1<= m ; k1 ++) { /* For each combination of covariate */
+ /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */
+ fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files ");
+ for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */
+ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */
+ /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
+ /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
+ /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
+ vlv= nbcode[Tvaraff[lv]][lv];
+ fprintf(ficgp," V%d=%d ",k,vlv);
+ }
+ fprintf(ficgp,"\n#\n");
+
+ 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\n\
-set size 0.65,0.65\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)");
+ if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
+ else fprintf(ficgp," %%*lf (%%*lf)");
}
- fprintf(ficgp,"\" t\"Stable prevalence\" w l 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);
+ fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 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)");
+ if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
+ else fprintf(ficgp," %%*lf (%%*lf)");
}
- fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);
+ fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1);
for (i=1; i<= nlstate ; i ++) {
- if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
- else fprintf(ficgp," \%%*lf (\%%*lf)");
+ if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
+ else fprintf(ficgp," %%*lf (%%*lf)");
}
- fprintf(ficgp,"\" t\"\" w l 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));
- }
- }
+ fprintf(ficgp,"\" t\"\" w l lt 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*/
-
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\nset size 0.65,0.65\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 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 0");
- else fprintf(ficgp,"\" t\"\" w l 0,");
- }
- }
-
+ fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files ");
+ for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */
+ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */
+ /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
+ /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
+ /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
+ vlv= nbcode[Tvaraff[lv]][lv];
+ fprintf(ficgp," V%d=%d ",k,vlv);
+ }
+ fprintf(ficgp,"\n#\n");
+
+ 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+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased);
+ for (j=1; j<= nlstate+1 ; j ++) {
+ if (j==i) fprintf(ficgp," %%lf (%%lf)");
+ else fprintf(ficgp," %%*lf (%%*lf)");
+ }
+ if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0");
+ else fprintf(ficgp,"\" t\"\" w l lt 0,\\\n");
+ } /* state */
+ } /* vpopbased */
+ fprintf(ficgp,"\nset out;set out \"%s_%d.svg\"; replot; set out; \n",subdirf2(optionfilefiname,"E_"),k1); /* Buggy gnuplot */
+ } /* k1 */
+
+
/*3eme*/
-
for (k1=1; k1<= m ; k1 ++) {
for (cpt=1; cpt<= nlstate ; cpt ++) {
- k=2+nlstate*(2*cpt-2);
- fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);
- fprintf(ficgp,"set ter png small\n\
-set size 0.65,0.65\n\
-plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileres,"e"),k1-1,k1-1,k,cpt);
+ fprintf(ficgp,"\n# 3d: Life expectancy with EXP_ files: cov=%d state=%d",k1, cpt);
+ for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */
+ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */
+ /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
+ /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
+ /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
+ vlv= nbcode[Tvaraff[lv]][lv];
+ fprintf(ficgp," V%d=%d ",k,vlv);
+ }
+ fprintf(ficgp,"\n#\n");
+
+ /* k=2+nlstate*(2*cpt-2); */
+ k=2+(nlstate+1)*(cpt-1);
+ fprintf(ficgp,"\nset out \"%s_%d%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1);
+ fprintf(ficgp,"set ter svg size 640, 480\n\
+plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),k1-1,k1-1,k,cpt);
/*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%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);
@@ -3456,98 +5331,335 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u
*/
for (i=1; i< nlstate ; i ++) {
- fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);
+ fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(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(fileresu,"E_"),k1-1,k1-1,k+nlstate,cpt);
}
}
- /* CV preval stable (period) */
- for (k1=1; k1<= m ; k1 ++) {
- for (cpt=1; cpt<=nlstate ; cpt ++) {
+ /* Survival functions (period) from state i in state j by initial state i */
+ for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */
+ for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
+ fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt);
+ for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */
+ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */
+ /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
+ /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
+ /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
+ vlv= nbcode[Tvaraff[lv]][lv];
+ fprintf(ficgp," V%d=%d ",k,vlv);
+ }
+ fprintf(ficgp,"\n#\n");
+
+ fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1);
+ fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\
+set ter svg size 640, 480\n\
+unset log y\n\
+plot [%.f:%.f] ", ageminpar, agemaxpar);
k=3;
- fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"p"),cpt,k1);
- fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\
-set ter png small\nset size 0.65,0.65\n\
+ 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 */
+ fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt);
+ for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */
+ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */
+ /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
+ /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
+ /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
+ vlv= nbcode[Tvaraff[lv]][lv];
+ fprintf(ficgp," V%d=%d ",k,vlv);
+ }
+ fprintf(ficgp,"\n#\n");
+
+ 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] \"%s\" u ($1==%d ? ($3):1/0):($%d/($%d",ageminpar,agemaxpar,subdirf2(fileres,"pij"),k1,k+cpt+1,k+1);
-
- for (i=1; i< nlstate ; i ++)
- fprintf(ficgp,"+$%d",k+i+1);
- fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);
-
- l=3+(nlstate+ndeath)*cpt;
- fprintf(ficgp,",\"%s\" u ($1==%d ? ($3):1/0):($%d/($%d",subdirf2(fileres,"pij"),k1,l+cpt+1,l+1);
- for (i=1; i< nlstate ; i ++) {
- l=3+(nlstate+ndeath)*cpt;
- fprintf(ficgp,"+$%d",l+i+1);
+plot [%.f:%.f] ", ageminpar, agemaxpar);
+ k=3;
+ for (j=1; j<= nlstate ; j ++){ /* Lived in state j */
+ if(j==1)
+ fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_"));
+ else
+ fprintf(ficgp,", '' ");
+ l=(nlstate+ndeath)*(cpt-1) +j;
+ fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):($%d",k1,k+l);
+ /* for (i=2; i<= nlstate+ndeath ; i ++) */
+ /* fprintf(ficgp,"+$%d",k+l+i-1); */
+ fprintf(ficgp,") t \"l(%d,%d)\" w l",cpt,j);
+ } /* nlstate */
+ fprintf(ficgp,", '' ");
+ fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):(",k1);
+ for (j=1; j<= nlstate ; j ++){ /* Lived in state j */
+ l=(nlstate+ndeath)*(cpt-1) +j;
+ if(j < nlstate)
+ fprintf(ficgp,"$%d +",k+l);
+ else
+ fprintf(ficgp,"$%d) t\"l(%d,.)\" w l",k+l,cpt);
+ }
+ fprintf(ficgp,"\nset out\n");
+ } /* end cpt state*/
+ } /* end covariate */
+
+ /* CV preval stable (period) for each covariate */
+ for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */
+ for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
+ fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt);
+ for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */
+ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */
+ /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
+ /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
+ /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
+ vlv= nbcode[Tvaraff[lv]][lv];
+ fprintf(ficgp," V%d=%d ",k,vlv);
}
- fprintf(ficgp,")) t\"prev(%d,%d)\" w l\n",cpt+1,cpt+1);
- }
- }
-
+ fprintf(ficgp,"\n#\n");
+
+ fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1);
+ fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\
+set ter svg size 640, 480\n\
+unset log y\n\
+plot [%.f:%.f] ", ageminpar, agemaxpar);
+ k=3; /* Offset */
+ for (i=1; i<= nlstate ; i ++){
+ if(i==1)
+ fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_"));
+ else
+ fprintf(ficgp,", '' ");
+ l=(nlstate+ndeath)*(i-1)+1;
+ fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l);
+ for (j=2; j<= nlstate ; j ++)
+ fprintf(ficgp,"+$%d",k+l+j-1);
+ fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt);
+ } /* nlstate */
+ fprintf(ficgp,"\nset out\n");
+ } /* end cpt state*/
+ } /* end covariate */
+
+ if(prevfcast==1){
+ /* Projection from cross-sectional to stable (period) for each covariate */
+
+ for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */
+ for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
+ fprintf(ficgp,"\n#\n#\n#Projection of prevalence to stable (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt);
+ for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */
+ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */
+ /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
+ /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
+ /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
+ vlv= nbcode[Tvaraff[lv]][lv];
+ fprintf(ficgp," V%d=%d ",k,vlv);
+ }
+ fprintf(ficgp,"\n#\n");
+
+ fprintf(ficgp,"# hpijx=probability over h years, hp.jx is weighted by observed prev\n ");
+ fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1);
+ fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Prevalence\" \n\
+set ter svg size 640, 480\n\
+unset log y\n\
+plot [%.f:%.f] ", ageminpar, agemaxpar);
+ for (i=1; i<= nlstate+1 ; i ++){ /* nlstate +1 p11 p21 p.1 */
+ /*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/
+ /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */
+ /*# yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/
+ /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */
+ if(i==1){
+ fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"F_"));
+ }else{
+ fprintf(ficgp,",\\\n '' ");
+ }
+ if(cptcoveff ==0){ /* No covariate */
+ fprintf(ficgp," u 2:("); /* Age is in 2 */
+ /*# yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/
+ /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */
+ if(i==nlstate+1)
+ fprintf(ficgp," $%d/(1.-$%d)) t 'p.%d' with line ", \
+ 2+(cpt-1)*(nlstate+1)+1+(i-1), 2+1+(i-1)+(nlstate+1)*nlstate,cpt );
+ else
+ fprintf(ficgp," $%d/(1.-$%d)) t 'p%d%d' with line ", \
+ 2+(cpt-1)*(nlstate+1)+1+(i-1), 2+1+(i-1)+(nlstate+1)*nlstate,i,cpt );
+ }else{
+ fprintf(ficgp,"u 6:(("); /* Age is in 6 */
+ /*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/
+ /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */
+ kl=0;
+ for (k=1; k<=cptcoveff; k++){ /* For each covariate */
+ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */
+ /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
+ /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
+ /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
+ vlv= nbcode[Tvaraff[lv]][lv];
+ kl++;
+ /* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */
+ /*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */
+ /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */
+ /* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/
+ if(k==cptcoveff)
+ if(i==nlstate+1)
+ fprintf(ficgp,"$%d==%d && $%d==%d)? $%d/(1.-$%d) : 1/0) t 'p.%d' with line ",kl, k,kl+1,nbcode[Tvaraff[lv]][lv], \
+ 6+(cpt-1)*(nlstate+1)+1+(i-1), 6+1+(i-1)+(nlstate+1)*nlstate,cpt );
+ else
+ fprintf(ficgp,"$%d==%d && $%d==%d)? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ",kl, k,kl+1,nbcode[Tvaraff[lv]][lv], \
+ 6+(cpt-1)*(nlstate+1)+1+(i-1), 6+1+(i-1)+(nlstate+1)*nlstate,i,cpt );
+ else{
+ fprintf(ficgp,"$%d==%d && $%d==%d && ",kl, k,kl+1,nbcode[Tvaraff[lv]][lv]);
+ kl++;
+ }
+ } /* end covariate */
+ } /* end if covariate */
+ } /* nlstate */
+ fprintf(ficgp,"\nset out\n");
+ } /* end cpt state*/
+ } /* end covariate */
+ } /* End if prevfcast */
+
+
/* proba elementaires */
+ fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n");
for(i=1,jk=1; i <=nlstate; i++){
+ fprintf(ficgp,"# initial state %d\n",i);
for(k=1; k <=(nlstate+ndeath); k++){
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");
- for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/
+ /*goto avoid;*/
+ 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\nset size 0.65,0.65\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);
- ij=1;
- for(j=3; j <=ncovmodel; j++) {
- if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {
- fprintf(ficgp,"+p%d*%d*x",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);
- ij++;
+ 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-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-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
+ 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++;
+ 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)]);
}
- else
- fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
+ fprintf(ficgp,")");
}
fprintf(ficgp,")");
+ 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: */
fflush(ficgp);
} /* end gnuplot */
@@ -3595,14 +5707,13 @@ int movingaverage(double ***probs, doubl
/************** Forecasting ******************/
-prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){
+void prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){
/* proj1, year, month, day of starting projection
agemin, agemax range of age
dateprev1 dateprev2 range of dates during which prevalence is computed
anproj2 year of en of projection (same day and month as proj1).
*/
- int yearp, stepsize, hstepm, nhstepm, j, k, c, cptcod, i, h, i1;
- int *popage;
+ int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1;
double agec; /* generic age */
double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;
double *popeffectif,*popcount;
@@ -3611,16 +5722,22 @@ prevforecast(char fileres[], double anpr
char fileresf[FILENAMELENGTH];
agelim=AGESUP;
+ /* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people
+ in each health status at the date of interview (if between dateprev1 and dateprev2).
+ We still use firstpass and lastpass as another selection.
+ */
+ /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart,\ */
+ /* firstpass, lastpass, stepm, weightopt, model); */
prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
- strcpy(fileresf,"f");
- strcat(fileresf,fileres);
+ strcpy(fileresf,"F_");
+ strcat(fileresf,fileresu);
if((ficresf=fopen(fileresf,"w"))==NULL) {
printf("Problem with forecast resultfile: %s\n", fileresf);
fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf);
}
- printf("Computing forecasting: result on file '%s' \n", fileresf);
- fprintf(ficlog,"Computing forecasting: result on file '%s' \n", fileresf);
+ printf("Computing forecasting: result on file '%s', please wait... \n", fileresf);
+ fprintf(ficlog,"Computing forecasting: result on file '%s', please wait... \n", fileresf);
if (cptcoveff==0) ncodemax[cptcoveff]=1;
@@ -3661,12 +5778,11 @@ prevforecast(char fileres[], double anpr
for(cptcov=1, k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
k=k+1;
- fprintf(ficresf,"\n#******");
+ fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#");
for(j=1;j<=cptcoveff;j++) {
- fprintf(ficresf," V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
+ fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
}
- fprintf(ficresf,"******\n");
- fprintf(ficresf,"# Covariate valuofcovar yearproj age");
+ fprintf(ficresf," yearproj age");
for(j=1; j<=nlstate+ndeath;j++){
for(i=1; i<=nlstate;i++)
fprintf(ficresf," p%d%d",i,j);
@@ -3687,7 +5803,7 @@ prevforecast(char fileres[], double anpr
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++) {
@@ -3716,10 +5832,13 @@ prevforecast(char fileres[], double anpr
if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
fclose(ficresf);
+ printf("End of Computing forecasting \n");
+ fprintf(ficlog,"End of Computing forecasting\n");
+
}
/************** Forecasting *****not tested NB*************/
-populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){
+void populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){
int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;
int *popage;
@@ -3737,8 +5856,8 @@ populforecast(char fileres[], double anp
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);
@@ -3785,7 +5904,7 @@ populforecast(char fileres[], double anp
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");
@@ -3896,8 +6015,8 @@ void prwizard(int ncovmodel, int nlstate
/* Wizard to print covariance matrix template */
- char ca[32], cb[32], cc[32];
- int i,j, k, l, li, lj, lk, ll, jj, npar, itimes;
+ char ca[32], cb[32];
+ int i,j, k, li, lj, lk, ll, jj, npar, itimes;
int numlinepar;
printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
@@ -4049,22 +6168,63 @@ double gompertz(double x[])
return -2*L*num/sump;
}
-/******************* Printing html file ***********/
-void printinghtmlmort(char fileres[], char title[], char datafile[], int firstpass, \
- int lastpass, int stepm, int weightopt, char model[],\
- int imx, double p[],double **matcov,double agemortsup){
- int i,k;
-
- fprintf(fichtm,"Result files
\n Force of mortality. Parameters of the Gompertz fit (with confidence interval in brackets):
");
- 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,"Life table
\n
");
+#ifdef GSL
+/******************* Gompertz_f Likelihood ******************************/
+double gompertz_f(const gsl_vector *v, void *params)
+{
+ double A,B,LL=0.0,sump=0.,num=0.;
+ double *x= (double *) v->data;
+ int i,n=0; /* n is the size of the sample */
- fprintf(fichtm,"\nAge lx qx d(x,x+1) Lx Tx e
");
+ for (i=0;i<=imx-1 ; i++) {
+ sump=sump+weight[i];
+ /* sump=sump+1;*/
+ num=num+1;
+ }
+
+
+ /* for (i=0; i<=imx; i++)
+ if (wav[i]>0) printf("i=%d ageex=%lf agecens=%lf agedc=%lf cens=%d %d\n" ,i,ageexmed[i],agecens[i],agedc[i],cens[i],wav[i]);*/
+ printf("x[0]=%lf x[1]=%lf\n",x[0],x[1]);
+ for (i=1;i<=imx ; i++)
+ {
+ if (cens[i] == 1 && wav[i]>1)
+ A=-x[0]/(x[1])*(exp(x[1]*(agecens[i]-agegomp))-exp(x[1]*(ageexmed[i]-agegomp)));
+
+ if (cens[i] == 0 && wav[i]>1)
+ A=-x[0]/(x[1])*(exp(x[1]*(agedc[i]-agegomp))-exp(x[1]*(ageexmed[i]-agegomp)))
+ +log(x[0]/YEARM)+x[1]*(agedc[i]-agegomp)+log(YEARM);
+
+ /*if (wav[i] > 1 && agecens[i] > 15) {*/ /* ??? */
+ if (wav[i] > 1 ) { /* ??? */
+ LL=LL+A*weight[i];
+ /* printf("\ni=%d A=%f L=%lf x[1]=%lf x[2]=%lf ageex=%lf agecens=%lf cens=%d agedc=%lf weight=%lf\n",i,A,L,x[1],x[2],ageexmed[i]*12,agecens[i]*12,cens[i],agedc[i]*12,weight[i]);*/
+ }
+ }
+
+ /*printf("x1=%2.9f x2=%2.9f x3=%2.9f L=%f\n",x[1],x[2],x[3],L);*/
+ printf("x[0]=%lf x[1]=%lf -2*LL*num/sump=%lf\n",x[0],x[1],-2*LL*num/sump);
+
+ return -2*LL*num/sump;
+}
+#endif
+
+/******************* Printing html file ***********/
+void printinghtmlmort(char 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;
+
+ fprintf(fichtm,"Result files
\n Force of mortality. Parameters of the Gompertz fit (with confidence interval in brackets):
");
+ 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,"Life table
\n
");
+
+ fprintf(fichtm,"\nAge lx qx d(x,x+1) Lx Tx e
");
for (k=agegomp;k<(agemortsup-2);k++)
fprintf(fichtm,"%d %.0lf %lf %.0lf %.0lf %.0lf %lf
\n",k,lsurv[k],p[1]*exp(p[2]*(k-agegomp)),(p[1]*exp(p[2]*(k-agegomp)))*lsurv[k],lpop[k],tpop[k],tpop[k]/lsurv[k]);
@@ -4074,10 +6234,10 @@ fprintf(fichtm,"Life table
}
/******************* Gnuplot file **************/
-void printinggnuplotmort(char fileres[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){
+void printinggnuplotmort(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){
char dirfileres[132],optfileres[132];
- int m,cpt,k1,i,k,j,jk,k2,k3,ij,l;
+
int ng;
@@ -4088,15 +6248,847 @@ void printinggnuplotmort(char fileres[],
strcpy(dirfileres,optionfilefiname);
strcpy(optfileres,"vpl");
- fprintf(ficgp,"set out \"graphmort.png\"\n ");
+ fprintf(ficgp,"set out \"graphmort.svg\"\n ");
fprintf(ficgp,"set xlabel \"Age\"\n set ylabel \"Force of mortality (per year)\" \n ");
- fprintf(ficgp, "set ter png small\n set log y\n");
- fprintf(ficgp, "set size 0.65,0.65\n");
+ fprintf(ficgp, "set ter svg size 640, 480\n set log y\n");
+ /* fprintf(ficgp, "set size 0.65,0.65\n"); */
fprintf(ficgp,"plot [%d:100] %lf*exp(%lf*(x-%d))",agegomp,p[1],p[2],agegomp);
}
+int readdata(char datafile[], int firstobs, int lastobs, int *imax)
+{
+
+ /*-------- data file ----------*/
+ FILE *fic;
+ char dummy[]=" ";
+ int i=0, j=0, n=0;
+ int linei, month, year,iout;
+ char line[MAXLINE], linetmp[MAXLINE];
+ char stra[MAXLINE], strb[MAXLINE];
+ char *stratrunc;
+ int lstra;
+
+
+ if((fic=fopen(datafile,"r"))==NULL) {
+ printf("Problem while opening datafile: %s\n", datafile);fflush(stdout);
+ fprintf(ficlog,"Problem while opening datafile: %s\n", datafile);fflush(ficlog);return 1;
+ }
+
+ i=1;
+ linei=0;
+ while ((fgets(line, MAXLINE, fic) != NULL) &&((i >= firstobs) && (i <=lastobs))) {
+ linei=linei+1;
+ for(j=strlen(line); j>=0;j--){ /* Untabifies line */
+ if(line[j] == '\t')
+ line[j] = ' ';
+ }
+ for(j=strlen(line)-1; (line[j]==' ')||(line[j]==10)||(line[j]==13);j--){
+ ;
+ };
+ line[j+1]=0; /* Trims blanks at end of line */
+ if(line[0]=='#'){
+ fprintf(ficlog,"Comment line\n%s\n",line);
+ printf("Comment line\n%s\n",line);
+ continue;
+ }
+ trimbb(linetmp,line); /* Trims multiple blanks in line */
+ strcpy(line, linetmp);
+
+
+ for (j=maxwav;j>=1;j--){
+ cutv(stra, strb, line, ' ');
+ if(strb[0]=='.') { /* Missing status */
+ lval=-1;
+ }else{
+ errno=0;
+ lval=strtol(strb,&endptr,10);
+ /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/
+ if( strb[0]=='\0' || (*endptr != '\0')){
+ printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);
+ fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog);
+ return 1;
+ }
+ }
+ s[j][i]=lval;
+
+ strcpy(line,stra);
+ cutv(stra, strb,line,' ');
+ if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){
+ }
+ else if( (iout=sscanf(strb,"%s.",dummy)) != 0){
+ month=99;
+ year=9999;
+ }else{
+ printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);
+ fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);fflush(ficlog);
+ return 1;
+ }
+ anint[j][i]= (double) year;
+ mint[j][i]= (double)month;
+ strcpy(line,stra);
+ } /* ENd Waves */
+
+ cutv(stra, strb,line,' ');
+ if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){
+ }
+ else if( (iout=sscanf(strb,"%s.",dummy)) != 0){
+ month=99;
+ year=9999;
+ }else{
+ printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);
+ fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog);
+ return 1;
+ }
+ andc[i]=(double) year;
+ moisdc[i]=(double) month;
+ strcpy(line,stra);
+
+ cutv(stra, strb,line,' ');
+ if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){
+ }
+ else if( (iout=sscanf(strb,"%s.", dummy)) != 0){
+ month=99;
+ year=9999;
+ }else{
+ printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);
+ fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog);
+ return 1;
+ }
+ if (year==9999) {
+ printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);
+ fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);fflush(ficlog);
+ return 1;
+
+ }
+ annais[i]=(double)(year);
+ moisnais[i]=(double)(month);
+ strcpy(line,stra);
+
+ cutv(stra, strb,line,' ');
+ errno=0;
+ dval=strtod(strb,&endptr);
+ if( strb[0]=='\0' || (*endptr != '\0')){
+ printf("Error reading data around '%f' at line number %d, \"%s\" for individual %d\nShould be a weight. Exiting.\n",dval, i,line,linei);
+ fprintf(ficlog,"Error reading data around '%f' at line number %d, \"%s\" for individual %d\nShould be a weight. Exiting.\n",dval, i,line,linei);
+ fflush(ficlog);
+ return 1;
+ }
+ weight[i]=dval;
+ strcpy(line,stra);
+
+ for (j=ncovcol;j>=1;j--){
+ cutv(stra, strb,line,' ');
+ if(strb[0]=='.') { /* Missing status */
+ lval=-1;
+ }else{
+ errno=0;
+ lval=strtol(strb,&endptr,10);
+ if( strb[0]=='\0' || (*endptr != '\0')){
+ printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);
+ fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);fflush(ficlog);
+ return 1;
+ }
+ }
+ if(lval <-1 || lval >1){
+ printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \
+ Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \
+ for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \
+ For example, for multinomial values like 1, 2 and 3,\n \
+ build V1=0 V2=0 for the reference value (1),\n \
+ V1=1 V2=0 for (2) \n \
+ and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \
+ output of IMaCh is often meaningless.\n \
+ Exiting.\n",lval,linei, i,line,j);
+ fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \
+ Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \
+ for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \
+ For example, for multinomial values like 1, 2 and 3,\n \
+ build V1=0 V2=0 for the reference value (1),\n \
+ V1=1 V2=0 for (2) \n \
+ and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \
+ output of IMaCh is often meaningless.\n \
+ Exiting.\n",lval,linei, i,line,j);fflush(ficlog);
+ return 1;
+ }
+ covar[j][i]=(double)(lval);
+ strcpy(line,stra);
+ }
+ lstra=strlen(stra);
+
+ if(lstra > 9){ /* More than 2**32 or max of what printf can write with %ld */
+ stratrunc = &(stra[lstra-9]);
+ num[i]=atol(stratrunc);
+ }
+ else
+ num[i]=atol(stra);
+ /*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){
+ printf("%ld %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]),weight[i], (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]), (mint[2][i]), (anint[2][i]), (s[2][i]), (mint[3][i]), (anint[3][i]), (s[3][i]), (mint[4][i]), (anint[4][i]), (s[4][i])); ij=ij+1;}*/
+
+ i=i+1;
+ } /* End loop reading data */
+
+ *imax=i-1; /* Number of individuals */
+ fclose(fic);
+
+ return (0);
+ /* endread: */
+ printf("Exiting readdata: ");
+ fclose(fic);
+ return (1);
+
+
+
+}
+void removespace(char *str) {
+ char *p1 = str, *p2 = str;
+ do
+ while (*p2 == ' ')
+ p2++;
+ while (*p1++ == *p2++);
+}
+
+int decodemodel ( char model[], int lastobs) /**< This routine decode the model and returns:
+ * Model V1+V2+V3+V8+V7*V8+V5*V6+V8*age+V3*age+age*age
+ * - nagesqr = 1 if age*age in the model, otherwise 0.
+ * - cptcovt total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and age*age
+ * - cptcovn or number of covariates k of the models excluding age*products =6 and age*age
+ * - cptcovage number of covariates with age*products =2
+ * - cptcovs number of simple covariates
+ * - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10
+ * which is a new column after the 9 (ncovcol) variables.
+ * - if k is a product Vn*Vm covar[k][i] is filled with correct values for each individual
+ * - Tprod[l] gives the kth covariates of the product Vn*Vm l=1 to cptcovprod-cptcovage
+ * Tprod[1]@2 {5, 6}: position of first product V7*V8 is 5, and second V5*V6 is 6.
+ * - Tvard[k] p Tvard[1][1]@4 {7, 8, 5, 6} for V7*V8 and V5*V6 .
+ */
+{
+ int i, j, k, ks;
+ int j1, k1, k2;
+ char modelsav[80];
+ char stra[80], strb[80], strc[80], strd[80],stre[80];
+ char *strpt;
+
+ /*removespace(model);*/
+ if (strlen(model) >1){ /* If there is at least 1 covariate */
+ j=0, j1=0, k1=0, k2=-1, ks=0, cptcovn=0;
+ if (strstr(model,"AGE") !=0){
+ 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){
+ printf("Error. 'v' must be in upper case 'V' model=%s ",model);
+ fprintf(ficlog,"Error. 'v' must be in upper case model=%s ",model);fflush(ficlog);
+ return 1;
+ }
+ 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;
+ }
+
+ 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; 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++;
+ 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*/
+
+ /* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]);
+ printf("cptcovprod=%d ", cptcovprod);
+ fprintf(ficlog,"cptcovprod=%d ", cptcovprod);
+
+ scanf("%d ",i);*/
+
+
+ return (0); /* with covar[new additional covariate if product] and Tage if age */
+ /*endread:*/
+ printf("Exiting decodemodel: ");
+ return (1);
+}
+
+int calandcheckages(int imx, int maxwav, double *agemin, double *agemax, int *nberr, int *nbwarn )
+{
+ int i, m;
+
+ for (i=1; i<=imx; i++) {
+ for(m=2; (m<= maxwav); m++) {
+ if (((int)mint[m][i]== 99) && (s[m][i] <= nlstate)){
+ anint[m][i]=9999;
+ if (s[m][i] != -2) /* Keeping initial status of unknown vital status */
+ s[m][i]=-1;
+ }
+ if((int)moisdc[i]==99 && (int)andc[i]==9999 && s[m][i]>nlstate){
+ *nberr = *nberr + 1;
+ printf("Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased (%d)\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr);
+ fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased (%d)\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr);
+ s[m][i]=-1;
+ }
+ if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){
+ (*nberr)++;
+ printf("Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]);
+ fprintf(ficlog,"Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]);
+ s[m][i]=-1; /* We prefer to skip it (and to skip it in version 0.8a1 too */
+ }
+ }
+ }
+
+ for (i=1; i<=imx; i++) {
+ agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);
+ for(m=firstpass; (m<= lastpass); m++){
+ if(s[m][i] >0 || s[m][i]==-1 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5){ /* What if s[m][i]=-1 */
+ if (s[m][i] >= nlstate+1) {
+ if(agedc[i]>0){
+ if((int)moisdc[i]!=99 && (int)andc[i]!=9999){
+ agev[m][i]=agedc[i];
+ /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/
+ }else {
+ if ((int)andc[i]!=9999){
+ nbwarn++;
+ printf("Warning negative age at death: %ld line:%d\n",num[i],i);
+ fprintf(ficlog,"Warning negative age at death: %ld line:%d\n",num[i],i);
+ agev[m][i]=-1;
+ }
+ }
+ } /* agedc > 0 */
+ } /* end if */
+ else if(s[m][i] !=9){ /* Standard case, age in fractional
+ years but with the precision of a month */
+ agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);
+ if((int)mint[m][i]==99 || (int)anint[m][i]==9999)
+ agev[m][i]=1;
+ else if(agev[m][i] < *agemin){
+ *agemin=agev[m][i];
+ printf(" Min anint[%d][%d]=%.2f annais[%d]=%.2f, agemin=%.2f\n",m,i,anint[m][i], i,annais[i], *agemin);
+ }
+ else if(agev[m][i] >*agemax){
+ *agemax=agev[m][i];
+ /* printf(" Max anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.2f\n",m,i,anint[m][i], i,annais[i], *agemax);*/
+ }
+ /*agev[m][i]=anint[m][i]-annais[i];*/
+ /* agev[m][i] = age[i]+2*m;*/
+ } /* en if 9*/
+ else { /* =9 */
+ /* printf("Debug num[%d]=%ld s[%d][%d]=%d\n",i,num[i], m,i, s[m][i]); */
+ agev[m][i]=1;
+ s[m][i]=-1;
+ }
+ }
+ else if(s[m][i]==0) /*= 0 Unknown */
+ agev[m][i]=1;
+ else{
+ printf("Warning, num[%d]=%ld, s[%d][%d]=%d\n", i, num[i], m, i,s[m][i]);
+ fprintf(ficlog, "Warning, num[%d]=%ld, s[%d][%d]=%d\n", i, num[i], m, i,s[m][i]);
+ agev[m][i]=0;
+ }
+ } /* End for lastpass */
+ }
+
+ for (i=1; i<=imx; i++) {
+ for(m=firstpass; (m<=lastpass); m++){
+ if (s[m][i] > (nlstate+ndeath)) {
+ (*nberr)++;
+ printf("Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);
+ fprintf(ficlog,"Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);
+ return 1;
+ }
+ }
+ }
+
+ /*for (i=1; i<=imx; i++){
+ for (m=firstpass; (m
+//#include
+//#include
+//#include
+typedef BOOL(WINAPI *LPFN_ISWOW64PROCESS) (HANDLE, PBOOL);
+
+LPFN_ISWOW64PROCESS fnIsWow64Process;
+
+BOOL IsWow64()
+{
+ BOOL bIsWow64 = FALSE;
+
+ //typedef BOOL (APIENTRY *LPFN_ISWOW64PROCESS)
+ // (HANDLE, PBOOL);
+
+ //LPFN_ISWOW64PROCESS fnIsWow64Process;
+
+ HMODULE module = GetModuleHandle(_T("kernel32"));
+ const char funcName[] = "IsWow64Process";
+ fnIsWow64Process = (LPFN_ISWOW64PROCESS)
+ GetProcAddress(module, funcName);
+
+ if (NULL != fnIsWow64Process)
+ {
+ if (!fnIsWow64Process(GetCurrentProcess(),
+ &bIsWow64))
+ //throw std::exception("Unknown error");
+ printf("Unknown error\n");
+ }
+ return bIsWow64 != FALSE;
+}
+#endif
+void syscompilerinfo(int logged)
+ {
+ /* #include "syscompilerinfo.h"*/
+ /* 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 */
+#endif
+ struct utsname sysInfo;
+ int cross = CROSS;
+ if (cross){
+ printf("Cross-");
+ if(logged) fprintf(ficlog, "Cross-");
+ }
+#endif
+
+#include
+
+ printf("Compiled with:");if(logged)fprintf(ficlog,"Compiled with:");
+#if defined(__clang__)
+ printf(" Clang/LLVM");if(logged)fprintf(ficlog," Clang/LLVM"); /* Clang/LLVM. ---------------------------------------------- */
+#endif
+#if defined(__ICC) || defined(__INTEL_COMPILER)
+ printf(" Intel ICC/ICPC");if(logged)fprintf(ficlog," Intel ICC/ICPC");/* Intel ICC/ICPC. ------------------------------------------ */
+#endif
+#if defined(__GNUC__) || defined(__GNUG__)
+ 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++");if(logged)fprintf(fcilog," Hewlett-Packard C/aC++"); /* Hewlett-Packard C/aC++. ---------------------------------- */
+#endif
+#if defined(__IBMC__) || defined(__IBMCPP__)
+ 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");if(logged)fprintf(ficlog," Microsoft Visual Studio");/* Microsoft Visual Studio. --------------------------------- */
+#endif
+#if defined(__PGI)
+ 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");if(logged)fprintf(ficlog," Oracle Solaris Studio\n");/* Oracle Solaris Studio. ----------------------------------- */
+#endif
+ 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) ");if(logged) fprintf(ficlog,"Windows (x64 and x86) ");
+#elif __unix__ // all unices, not all compilers
+ // Unix
+ printf("Unix ");if(logged) fprintf(ficlog,"Unix ");
+#elif __linux__
+ // 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 ");if(logged) fprintf(ficlog,"Mac OS ");
+#endif
+
+/* __MINGW32__ */
+/* __CYGWIN__ */
+/* __MINGW64__ */
+// http://msdn.microsoft.com/en-us/library/b0084kay.aspx
+/* _MSC_VER //the Visual C++ compiler is 17.00.51106.1, the _MSC_VER macro evaluates to 1700. Type cl /? */
+/* _MSC_FULL_VER //the Visual C++ compiler is 15.00.20706.01, the _MSC_FULL_VER macro evaluates to 150020706 */
+/* _WIN64 // Defined for applications for Win64. */
+/* _M_X64 // Defined for compilations that target x64 processors. */
+/* _DEBUG // Defined when you compile with /LDd, /MDd, and /MTd. */
+
+#if UINTPTR_MAX == 0xffffffff
+ printf(" 32-bit"); if(logged) fprintf(ficlog," 32-bit");/* 32-bit */
+#elif UINTPTR_MAX == 0xffffffffffffffff
+ printf(" 64-bit"); if(logged) fprintf(ficlog," 64-bit");/* 64-bit */
+#else
+ printf(" wtf-bit"); if(logged) fprintf(ficlog," wtf-bit");/* wtf */
+#endif
+
+#if defined(__GNUC__)
+# if defined(__GNUC_PATCHLEVEL__)
+# define __GNUC_VERSION__ (__GNUC__ * 10000 \
+ + __GNUC_MINOR__ * 100 \
+ + __GNUC_PATCHLEVEL__)
+# else
+# define __GNUC_VERSION__ (__GNUC__ * 10000 \
+ + __GNUC_MINOR__ * 100)
+# endif
+ printf(" 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);
+ 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());
+ if(logged) fprintf(ficlog,"GNU libc version: %s\n", gnu_get_libc_version());
+#endif
+#endif
+
+ // void main()
+ // {
+#if defined(_MSC_VER)
+ if (IsWow64()){
+ 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("\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();
+ // }
+
+#endif
+
+
+ }
+
+ int prevalence_limit(double *p, double **prlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp){
+ /*--------------- Prevalence limit (period or stable prevalence) --------------*/
+ int i, j, k, i1 ;
+ /* double ftolpl = 1.e-10; */
+ double 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, ncvyearp, k);
+ fprintf(ficrespl,"%.0f ",age );
+ for(j=1;j<=cptcoveff;j++)
+ fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+ tot=0.;
+ for(i=1; i<=nlstate;i++){
+ tot += prlim[i][i];
+ fprintf(ficrespl," %.5f", prlim[i][i]);
+ }
+ fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp);
+ } /* Age */
+ /* was end of cptcod */
+ } /* cptcov */
+ return 0;
+}
+
+int 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;
+}
/***********************************************/
@@ -4105,73 +7097,81 @@ void printinggnuplotmort(char fileres[],
int main(int argc, char *argv[])
{
+#ifdef GSL
+ const gsl_multimin_fminimizer_type *T;
+ size_t iteri = 0, it;
+ int rval = GSL_CONTINUE;
+ int status = GSL_SUCCESS;
+ double ssval;
+#endif
int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav);
- int i,j, k, n=MAXN,iter,m,size=100,cptcode, cptcod;
- int linei, month, year,iout;
- int jj, ll, li, lj, lk, imk;
+ int i,j, k, n=MAXN,iter=0,m,size=100, cptcod;
+ int ncvyear=0; /* Number of years needed for the period prevalence to converge */
+ int jj, ll, li, lj, lk;
int numlinepar=0; /* Current linenumber of parameter file */
+ int num_filled;
int itimes;
int NDIM=2;
+ int vpopbased=0;
- char ca[32], cb[32], cc[32];
- char dummy[]=" ";
+ char ca[32], cb[32];
/* FILE *fichtm; *//* Html File */
/* FILE *ficgp;*/ /*Gnuplot File */
struct stat info;
- double agedeb, agefin,hf;
- double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;
+ double agedeb=0.;
- double fret;
- double **xi,tmp,delta;
+ double ageminpar=AGEOVERFLOW,agemin=AGEOVERFLOW, agemaxpar=-AGEOVERFLOW, agemax=-AGEOVERFLOW;
- double dum; /* Dummy variable */
+ double fret;
+ double dum=0.; /* Dummy variable */
double ***p3mat;
double ***mobaverage;
- int *indx;
- char line[MAXLINE], linepar[MAXLINE];
- char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE],model[MAXLINE];
+
+ char line[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 sdeb, sfin; /* Status at beginning and end */
- int c, h , cpt,l;
- int ju,jl, mi;
- int i1,j1, k1,k2,k3,jk,aa,bb, stepsize, ij;
- int jnais,jdc,jint4,jint1,jint2,jint3,**outcome,*tab;
+ int 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, fage, age, agelim, agebase;
+ double bage=0, fage=110., age, agelim=0., agebase=0.;
double ftolpl=FTOL;
double **prlim;
- double *severity;
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;
double **varpl; /* Variances of prevalence limits by age */
double *epj, vepp;
- double kk1, kk2;
+
double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;
double **ximort;
- char *alph[]={"a","a","b","c","d","e"}, str[4];
+ char *alph[]={"a","a","b","c","d","e"}, str[4]="1234";
int *dcwave;
- char z[1]="c", occ;
+ char z[1]="c";
+
+ /*char *strt;*/
+ char strtend[80];
- char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];
- char strstart[80], *strt, strtend[80];
- char *stratrunc;
- int lstra;
- long total_usecs;
-
/* setlocale (LC_ALL, ""); */
/* bindtextdomain (PACKAGE, LOCALEDIR); */
/* textdomain (PACKAGE); */
@@ -4179,19 +7179,21 @@ int main(int argc, char *argv[])
/* setlocale (LC_MESSAGES, ""); */
/* gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */
- (void) gettimeofday(&start_time,&tzp);
+ rstart_time = time(NULL);
+ /* (void) gettimeofday(&start_time,&tzp);*/
+ start_time = *localtime(&rstart_time);
curr_time=start_time;
- tm = *localtime(&start_time.tv_sec);
- tmg = *gmtime(&start_time.tv_sec);
- strcpy(strstart,asctime(&tm));
+ /*tml = *localtime(&start_time.tm_sec);*/
+ /* strcpy(strstart,asctime(&tml)); */
+ strcpy(strstart,asctime(&start_time));
/* printf("Localtime (at start)=%s",strstart); */
-/* tp.tv_sec = tp.tv_sec +86400; */
-/* tm = *localtime(&start_time.tv_sec); */
+/* tp.tm_sec = tp.tm_sec +86400; */
+/* tm = *localtime(&start_time.tm_sec); */
/* tmg.tm_year=tmg.tm_year +dsign*dyear; */
/* tmg.tm_mon=tmg.tm_mon +dsign*dmonth; */
/* tmg.tm_hour=tmg.tm_hour + 1; */
-/* tp.tv_sec = mktime(&tmg); */
+/* tp.tm_sec = mktime(&tmg); */
/* strt=asctime(&tmg); */
/* printf("Time(after) =%s",strstart); */
/* (void) time (&time_value);
@@ -4203,12 +7205,38 @@ 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: ");
- scanf("%s",pathtot);
+ if(!fgets(pathr,FILENAMELENGTH,stdin)){
+ printf("ERROR Empty parameter file name\n");
+ goto end;
+ }
+ i=strlen(pathr);
+ if(pathr[i-1]=='\n')
+ pathr[i-1]='\0';
+ i=strlen(pathr);
+ if(i >= 1 && pathr[i-1]==' ') {/* This may happen when dragging on oS/X! */
+ pathr[i-1]='\0';
+ }
+ i=strlen(pathr);
+ if( i==0 ){
+ printf("ERROR Empty parameter file name\n");
+ goto end;
+ }
+ for (tok = pathr; tok != NULL; ){
+ printf("Pathr |%s|\n",pathr);
+ while ((val = strsep(&tok, "\"" )) != NULL && *val == '\0');
+ printf("val= |%s| pathr=%s\n",val,pathr);
+ strcpy (pathtot, val);
+ if(pathr[0] == '\0') break; /* Dirty */
+ }
}
else{
strcpy(pathtot,argv[1]);
@@ -4226,11 +7254,18 @@ 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);
- chdir(path);
+#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 */
+#endif
+ printf("Current directory %s!\n",pathcd);
strcpy(command,"mkdir ");
strcat(command,optionfilefiname);
if((outcmd=system(command)) != 0){
- printf("Problem creating directory or it already exists %s%s, err=%d\n",path,optionfilefiname,outcmd);
+ printf("Directory already exists (or can't create it) %s%s, err=%d\n",path,optionfilefiname,outcmd);
/* fprintf(ficlog,"Problem creating directory %s%s\n",path,optionfilefiname); */
/* fclose(ficlog); */
/* exit(1); */
@@ -4241,7 +7276,7 @@ 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) {
@@ -4249,38 +7284,43 @@ 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\
optionfile=%s\n\
optionfilext=%s\n\
- optionfilefiname=%s\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);
+ optionfilefiname='%s'\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);
+
+ syscompilerinfo(1);
printf("Local time (at start):%s",strstart);
fprintf(ficlog,"Local time (at start): %s",strstart);
fflush(ficlog);
/* (void) gettimeofday(&curr_time,&tzp); */
-/* printf("Elapsed time %d\n", asc_diff_time(curr_time.tv_sec-start_time.tv_sec,tmpout)); */
+/* printf("Elapsed time %d\n", asc_diff_time(curr_time.tm_sec-start_time.tm_sec,tmpout)); */
/* */
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\n",optionfile);
- fprintf(ficlog,"Problem with optionfile %s\n",optionfile);
+ printf("Problem with optionfile '%s' with errno='%s'\n",optionfile,strerror(errno));
+ fprintf(ficlog,"Problem with optionfile '%s' with errno='%s'\n",optionfile,strerror(errno));
fflush(ficlog);
- goto end;
+ /* goto end; */
+ exit(70);
}
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);
@@ -4290,68 +7330,159 @@ 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++;
- puts(line);
- 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 parameters, for example:ftol=1.e-8 stepm=12 ncovcol=2 nlstate=2 ndeath=1 maxwav=3 mle=1 weight=1\n");
+ printf("but line=%s\n",line);
+ }
+ printf("ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n",ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt);
+ }
+ /* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */
+ /*ftolpl=6.e-4; *//* 6.e-3 make convergences in less than 80 loops for the prevalence limit */
+ /* Third parameter line */
+ while(fgets(line, MAXLINE, ficpar)) {
+ /* If line starts with a # it is a comment */
+ 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++;
- puts(line);
+ 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);
fputs(line,ficlog);
}
ungetc(c,ficpar);
- covar=matrix(0,NCOVMAX,1,n);
- cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement*/
- if (strlen(model)>1) cptcovn=nbocc(model,'+')+1;
-
- ncovmodel=2+cptcovn; /*Number of variables = cptcovn + intercept + age */
- nvar=ncovmodel-1; /* Suppressing age as a basic covariate */
- npar= (nlstate+ndeath-1)*nlstate*ncovmodel; /* Number of parameters*/
-
+ covar=matrix(0,NCOVMAX,1,n); /**< used in readdata */
+ cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn*/
+ /* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5
+ v1+v2*age+v2*v3 makes cptcovn = 3
+ */
+ if (strlen(model)>1)
+ 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; /* 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){
+ printf("Too complex model for current IMaCh: npar=(nlstate+ndeath-1)*nlstate*ncovmodel=%d >= %d(MAXPARM) or nlstate=%d >= %d(NLSTATEMAX) or ndeath=%d >= %d(NDEATHMAX) or ncovmodel=(k+age+#of+signs)=%d(NCOVMAX) >= %d\n",npar, MAXPARM, nlstate, NLSTATEMAX, ndeath, NDEATHMAX, ncovmodel, NCOVMAX);
+ fprintf(ficlog,"Too complex model for current IMaCh: %d >=%d(MAXPARM) or %d >=%d(NLSTATEMAX) or %d >=%d(NDEATHMAX) or %d(NCOVMAX) >=%d\n",npar, MAXPARM, nlstate, NLSTATEMAX, ndeath, NDEATHMAX, ncovmodel, NCOVMAX);
+ fflush(stdout);
+ fclose (ficlog);
+ goto end;
+ }
delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
delti=delti3[1][1];
/*delti=vector(1,npar); *//* Scale of each paramater (output from hesscov)*/
if(mle==-1){ /* Print a wizard for help writing covariance matrix */
prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
- printf(" You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
- fprintf(ficlog," You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
+ 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 guess parameters */
+ /* Read guessed parameters */
/* Reads comments: lines beginning with '#' */
while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);
numlinepar++;
- puts(line);
+ fputs(line,stdout);
fputs(line,ficparo);
fputs(line,ficlog);
}
@@ -4364,14 +7495,16 @@ int main(int argc, char *argv[])
if(jj==i) continue;
j++;
fscanf(ficpar,"%1d%1d",&i1,&j1);
- if ((i1 != i) && (j1 != j)){
- printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);
+ if ((i1 != i) || (j1 != jj)){
+ printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \
+It might be a problem of design; if ncovcol and the model are correct\n \
+run imach with mle=-1 to get a correct template of the parameter file.\n",numlinepar, i,j, i1, j1);
exit(1);
}
fprintf(ficparo,"%1d%1d",i1,j1);
if(mle==1)
- printf("%1d%1d",i,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){
@@ -4392,6 +7525,7 @@ int main(int argc, char *argv[])
}
fflush(ficlog);
+ /* Reads scales values */
p=param[1][1];
/* Reads comments: lines beginning with '#' */
@@ -4399,7 +7533,7 @@ int main(int argc, char *argv[])
ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);
numlinepar++;
- puts(line);
+ fputs(line,stdout);
fputs(line,ficparo);
fputs(line,ficlog);
}
@@ -4408,7 +7542,7 @@ int main(int argc, char *argv[])
for(i=1; i <=nlstate; i++){
for(j=1; j <=nlstate+ndeath-1; j++){
fscanf(ficpar,"%1d%1d",&i1,&j1);
- if ((i1-i)*(j1-j)!=0){
+ if ( (i1-i) * (j1-j) != 0){
printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);
exit(1);
}
@@ -4430,6 +7564,7 @@ int main(int argc, char *argv[])
}
fflush(ficlog);
+ /* Reads covariance matrix */
delti=delti3[1][1];
@@ -4440,19 +7575,33 @@ int main(int argc, char *argv[])
ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);
numlinepar++;
- puts(line);
+ fputs(line,stdout);
fputs(line,ficparo);
fputs(line,ficlog);
}
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){
@@ -4468,6 +7617,7 @@ int main(int argc, char *argv[])
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];
@@ -4484,21 +7634,15 @@ int main(int argc, char *argv[])
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 */
- /*-------- data file ----------*/
- if((fic=fopen(datafile,"r"))==NULL) {
- printf("Problem with datafile: %s\n", datafile);goto end;
- fprintf(ficlog,"Problem with datafile: %s\n", datafile);goto end;
- }
-
+ /* Main data
+ */
n= lastobs;
- severity = vector(1,maxwav);
- outcome=imatrix(1,maxwav+1,1,n);
num=lvector(1,n);
moisnais=vector(1,n);
annais=vector(1,n);
@@ -4510,390 +7654,258 @@ int main(int argc, char *argv[])
for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */
mint=matrix(1,maxwav,1,n);
anint=matrix(1,maxwav,1,n);
- s=imatrix(1,maxwav+1,1,n);
+ s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */
tab=ivector(1,NCOVMAX);
- ncodemax=ivector(1,8);
+ ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */
+ ncodemaxwundef=ivector(1,NCOVMAX); /* Number of code per covariate; if - 1 O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */
- i=1;
- linei=0;
- while ((fgets(line, MAXLINE, fic) != NULL) &&((i >= firstobs) && (i <=lastobs))) {
- linei=linei+1;
- for(j=strlen(line); j>=0;j--){ /* Untabifies line */
- if(line[j] == '\t')
- line[j] = ' ';
- }
- for(j=strlen(line)-1; (line[j]==' ')||(line[j]==10)||(line[j]==13);j--){
- ;
- };
- line[j+1]=0; /* Trims blanks at end of line */
- if(line[0]=='#'){
- fprintf(ficlog,"Comment line\n%s\n",line);
- printf("Comment line\n%s\n",line);
- continue;
- }
-
- for (j=maxwav;j>=1;j--){
- cutv(stra, strb,line,' ');
- errno=0;
- lval=strtol(strb,&endptr,10);
- /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/
- if( strb[0]=='\0' || (*endptr != '\0')){
- printf("Error reading data around '%d' at line number %d %s for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);
- exit(1);
- }
- s[j][i]=lval;
-
- strcpy(line,stra);
- cutv(stra, strb,line,' ');
- if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
- }
- else if(iout=sscanf(strb,"%s.") != 0){
- month=99;
- year=9999;
- }else{
- printf("Error reading data around '%s' at line number %ld %s for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);
- exit(1);
- }
- anint[j][i]= (double) year;
- mint[j][i]= (double)month;
- strcpy(line,stra);
- } /* ENd Waves */
-
- cutv(stra, strb,line,' ');
- if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
- }
- else if(iout=sscanf(strb,"%s.",dummy) != 0){
- month=99;
- year=9999;
- }else{
- printf("Error reading data around '%s' at line number %ld %s for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);
- exit(1);
- }
- andc[i]=(double) year;
- moisdc[i]=(double) month;
- strcpy(line,stra);
-
- cutv(stra, strb,line,' ');
- if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
- }
- else if(iout=sscanf(strb,"%s.") != 0){
- month=99;
- year=9999;
- }else{
- printf("Error reading data around '%s' at line number %ld %s for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line,j);
- exit(1);
- }
- annais[i]=(double)(year);
- moisnais[i]=(double)(month);
- strcpy(line,stra);
-
- cutv(stra, strb,line,' ');
- errno=0;
- lval=strtol(strb,&endptr,10);
- if( strb[0]=='\0' || (*endptr != '\0')){
- printf("Error reading data around '%d' at line number %ld %s for individual %d\nShould be a weight. Exiting.\n",lval, i,line,linei);
- exit(1);
- }
- weight[i]=(double)(lval);
- strcpy(line,stra);
-
- for (j=ncovcol;j>=1;j--){
- cutv(stra, strb,line,' ');
- errno=0;
- lval=strtol(strb,&endptr,10);
- if( strb[0]=='\0' || (*endptr != '\0')){
- printf("Error reading data around '%d' at line number %ld %s for individual %d, '%s'\nShould be a covar (meaning 0 for the reference or 1). Exiting.\n",lval, linei,i, line);
- exit(1);
- }
- if(lval <-1 || lval >1){
- printf("Error reading data around '%d' at line number %ld %s for individual %d, '%s'\nShould be a value of the %d covar (meaning 0 for the reference or 1. IMaCh does not build design variables, do it your self). Exiting.\n",lval,linei, i,line,j);
- exit(1);
- }
- covar[j][i]=(double)(lval);
- strcpy(line,stra);
- }
- lstra=strlen(stra);
-
- if(lstra > 9){ /* More than 2**32 or max of what printf can write with %ld */
- stratrunc = &(stra[lstra-9]);
- num[i]=atol(stratrunc);
- }
- else
- num[i]=atol(stra);
- /*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){
- printf("%ld %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]),weight[i], (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]), (mint[2][i]), (anint[2][i]), (s[2][i]), (mint[3][i]), (anint[3][i]), (s[3][i]), (mint[4][i]), (anint[4][i]), (s[4][i])); ij=ij+1;}*/
-
- i=i+1;
- } /* End loop reading data */
- /* printf("ii=%d", ij);
- scanf("%d",i);*/
- imx=i-1; /* Number of individuals */
-
- /* for (i=1; i<=imx; i++){
- if ((s[1][i]==3) && (s[2][i]==2)) s[2][i]=3;
- if ((s[2][i]==3) && (s[3][i]==2)) s[3][i]=3;
- if ((s[3][i]==3) && (s[4][i]==2)) s[4][i]=3;
- }*/
- /* for (i=1; i<=imx; i++){
- if (s[4][i]==9) s[4][i]=-1;
- printf("%ld %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]), (mint[2][i]), (anint[2][i]), (s[2][i]), (mint[3][i]), (anint[3][i]), (s[3][i]), (mint[4][i]), (anint[4][i]), (s[4][i]));}*/
-
- /* for (i=1; i<=imx; i++) */
-
- /*if ((s[3][i]==3) || (s[4][i]==3)) weight[i]=0.08;
- else weight[i]=1;*/
+ /* Reads data from file datafile */
+ if (readdata(datafile, firstobs, lastobs, &imx)==1)
+ goto end;
/* Calculation of the number of parameters from char model */
- Tvar=ivector(1,15); /* stores the number n of the covariates in Vm+Vn at 1 and m at 2 */
- Tprod=ivector(1,15);
- Tvaraff=ivector(1,15);
- Tvard=imatrix(1,15,1,2);
- Tage=ivector(1,15);
-
- if (strlen(model) >1){ /* If there is at least 1 covariate */
- j=0, j1=0, k1=1, k2=1;
- j=nbocc(model,'+'); /* j=Number of '+' */
- j1=nbocc(model,'*'); /* j1=Number of '*' */
- cptcovn=j+1;
- cptcovprod=j1; /*Number of products */
-
- strcpy(modelsav,model);
- if ((strcmp(model,"age")==0) || (strcmp(model,"age*age")==0)){
- printf("Error. Non available option model=%s ",model);
- fprintf(ficlog,"Error. Non available option model=%s ",model);
- goto end;
- }
-
- /* This loop fills the array Tvar from the string 'model'.*/
+ /* modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4
+ k=4 (age*V3) Tvar[k=4]= 3 (from V3) Tag[cptcovage=1]=4
+ k=3 V4 Tvar[k=3]= 4 (from V4)
+ k=2 V1 Tvar[k=2]= 1 (from V1)
+ k=1 Tvar[1]=2 (from V2)
+ */
+ Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */
+ /* V2+V1+V4+age*V3 is a model with 4 covariates (3 plus signs).
+ For each model-covariate stores the data-covariate id. Tvar[1]=2, Tvar[2]=1, Tvar[3]=4,
+ Tvar[4=age*V3] is 3 and 'age' is recorded in Tage.
+ */
+ /* For model-covariate k tells which data-covariate to use but
+ because this model-covariate is a construction we invent a new column
+ ncovcol + k1
+ If already ncovcol=4 and model=V2+V1+V1*V4+age*V3
+ Tvar[3=V1*V4]=4+1 etc */
+ Tprod=ivector(1,NCOVMAX); /* Gives the position of a product */
+ /* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3
+ if V2+V1+V1*V4+age*V3+V3*V2 TProd[k1=2]=5 (V3*V2)
+ */
+ Tvaraff=ivector(1,NCOVMAX); /* Unclear */
+ Tvard=imatrix(1,NCOVMAX,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm
+ * For V3*V2 (in V2+V1+V1*V4+age*V3+V3*V2), V3*V2 position is 2nd.
+ * Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */
+ Tage=ivector(1,NCOVMAX); /* Gives the covariate id of covariates associated with age: V2 + V1 + age*V4 + V3*age
+ 4 covariates (3 plus signs)
+ Tage[1=V3*age]= 4; Tage[2=age*V4] = 3
+ */
- for(i=(j+1); i>=1;i--){
- cutv(stra,strb,modelsav,'+'); /* keeps in strb after the last + */
- if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */
- /* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/
- /*scanf("%d",i);*/
- if (strchr(strb,'*')) { /* Model includes a product */
- cutv(strd,strc,strb,'*'); /* strd*strc Vm*Vn (if not *age)*/
- if (strcmp(strc,"age")==0) { /* Vn*age */
- cptcovprod--;
- cutv(strb,stre,strd,'V');
- Tvar[i]=atoi(stre); /* computes n in Vn and stores in Tvar*/
- cptcovage++;
- Tage[cptcovage]=i;
- /*printf("stre=%s ", stre);*/
- }
- else if (strcmp(strd,"age")==0) { /* or age*Vn */
- cptcovprod--;
- cutv(strb,stre,strc,'V');
- Tvar[i]=atoi(stre);
- cptcovage++;
- Tage[cptcovage]=i;
- }
- else { /* Age is not in the model */
- cutv(strb,stre,strc,'V'); /* strc= Vn, stre is n*/
- Tvar[i]=ncovcol+k1;
- cutv(strb,strc,strd,'V'); /* strd was Vm, strc is m */
- Tprod[k1]=i;
- Tvard[k1][1]=atoi(strc); /* m*/
- Tvard[k1][2]=atoi(stre); /* n */
- Tvar[cptcovn+k2]=Tvard[k1][1];
- Tvar[cptcovn+k2+1]=Tvard[k1][2];
- for (k=1; k<=lastobs;k++)
- covar[ncovcol+k1][k]=covar[atoi(stre)][k]*covar[atoi(strc)][k];
- k1++;
- k2=k2+2;
- }
- }
- else { /* no more sum */
- /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/
- /* scanf("%d",i);*/
- cutv(strd,strc,strb,'V');
- Tvar[i]=atoi(strc);
- }
- strcpy(modelsav,stra);
- /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);
- scanf("%d",i);*/
- } /* end of loop + */
- } /* end model */
-
- /*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products.
- If model=V1+V1*age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0*/
+/* Main decodemodel */
- /* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]);
- printf("cptcovprod=%d ", cptcovprod);
- fprintf(ficlog,"cptcovprod=%d ", cptcovprod);
- scanf("%d ",i);
- fclose(fic);*/
+ if(decodemodel(model, lastobs) == 1)
+ goto end;
+ if((double)(lastobs-imx)/(double)imx > 1.10){
+ nbwarn++;
+ printf("Warning: The value of parameter lastobs=%d is big compared to the \n effective number of cases imx=%d, please adjust, \n otherwise you are allocating more memory than necessary.\n",lastobs, imx);
+ fprintf(ficlog,"Warning: The value of parameter lastobs=%d is big compared to the \n effective number of cases imx=%d, please adjust, \n otherwise you are allocating more memory than necessary.\n",lastobs, imx);
+ }
/* if(mle==1){*/
- if (weightopt != 1) { /* Maximisation without weights*/
- for(i=1;i<=n;i++) weight[i]=1.0;
+ if (weightopt != 1) { /* Maximisation without weights. We can have weights different from 1 but want no weight*/
+ for(i=1;i<=imx;i++) weight[i]=1.0; /* changed to imx */
}
+
/*-calculation of age at interview from date of interview and age at death -*/
agev=matrix(1,maxwav,1,imx);
- for (i=1; i<=imx; i++) {
- for(m=2; (m<= maxwav); m++) {
- if (((int)mint[m][i]== 99) && (s[m][i] <= nlstate)){
- anint[m][i]=9999;
- s[m][i]=-1;
- }
- if((int)moisdc[i]==99 && (int)andc[i]==9999 && s[m][i]>nlstate){
- nberr++;
- printf("Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
- fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
- s[m][i]=-1;
- }
- if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){
- nberr++;
- printf("Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]);
- fprintf(ficlog,"Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]);
- s[m][i]=-1; /* We prefer to skip it (and to skip it in version 0.8a1 too */
- }
- }
- }
-
- for (i=1; i<=imx; i++) {
- agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);
- for(m=firstpass; (m<= lastpass); m++){
- if(s[m][i] >0 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5){
- if (s[m][i] >= nlstate+1) {
- if(agedc[i]>0)
- if((int)moisdc[i]!=99 && (int)andc[i]!=9999)
- agev[m][i]=agedc[i];
- /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/
- else {
- if ((int)andc[i]!=9999){
- nbwarn++;
- printf("Warning negative age at death: %ld line:%d\n",num[i],i);
- fprintf(ficlog,"Warning negative age at death: %ld line:%d\n",num[i],i);
- agev[m][i]=-1;
- }
- }
- }
- else if(s[m][i] !=9){ /* Standard case, age in fractional
- years but with the precision of a month */
- agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);
- if((int)mint[m][i]==99 || (int)anint[m][i]==9999)
- agev[m][i]=1;
- else if(agev[m][i] agemax){
- agemax=agev[m][i];
- /* printf(" anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.0f\n",m,i,anint[m][i], i,annais[i], agemax);*/
- }
- /*agev[m][i]=anint[m][i]-annais[i];*/
- /* agev[m][i] = age[i]+2*m;*/
- }
- else { /* =9 */
- agev[m][i]=1;
- s[m][i]=-1;
- }
- }
- else /*= 0 Unknown */
- agev[m][i]=1;
- }
-
- }
- for (i=1; i<=imx; i++) {
- for(m=firstpass; (m<=lastpass); m++){
- if (s[m][i] > (nlstate+ndeath)) {
- nberr++;
- printf("Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);
- fprintf(ficlog,"Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);
- goto end;
- }
- }
- }
-
- /*for (i=1; i<=imx; i++){
- for (m=firstpass; (m 0) tricode(Tvar,nbcode,imx);
-
- codtab=imatrix(1,100,1,10); /* Cross tabulation to get the order of
- the estimations*/
+ Ndum =ivector(-1,NCOVMAX);
+ if (ncovmodel-nagesqr > 2 ) /* That is if covariate other than cst, age and age*age */
+ tricode(Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */
+ /* Nbcode gives the value of the lth modality (currently 1 to 2) of jth covariate, in
+ V2+V1*age, there are 3 covariates Tvar[2]=1 (V1).*/
+ /* 1 to ncodemax[j] which 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).*/
+ /* nbcode[Tvaraff[j]][codtabm(h,j)]) : if there are only 2 modalities for a covariate j,
+ * codtabm(h,j) gives its value classified at position h and nbcode gives how it is coded
+ * (currently 0 or 1) in the data.
+ * In a loop on h=1 to 2**k, and a loop on j (=1 to k), we get the value of
+ * corresponding modality (h,j).
+ */
+
h=0;
+
+
+ /*if (cptcovn > 0) */
+
+
m=pow(2,cptcoveff);
- for(k=1;k<=cptcoveff; k++){
- for(i=1; i <=(m/pow(2,k));i++){
- for(j=1; j <= ncodemax[k]; j++){
- for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){
- h++;
- if (h>m) h=1;codtab[h][k]=j;codtab[h][Tvar[k]]=j;
- /* printf("h=%d k=%d j=%d codtab[h][k]=%d tvar[k]=%d \n",h, k,j,codtab[h][k],Tvar[k]);*/
- }
- }
- }
- }
+ /**< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) + 1
+ * For k=4 covariates, h goes from 1 to m=2**k
+ * codtabm(h,k)= (1 & (h-1) >> (k-1)) + 1;
+ * #define codtabm(h,k) (1 & (h-1) >> (k-1))+1
+ * h\k 1 2 3 4
+ *______________________________
+ * 1 i=1 1 i=1 1 i=1 1 i=1 1
+ * 2 2 1 1 1
+ * 3 i=2 1 2 1 1
+ * 4 2 2 1 1
+ * 5 i=3 1 i=2 1 2 1
+ * 6 2 1 2 1
+ * 7 i=4 1 2 2 1
+ * 8 2 2 2 1
+ * 9 i=5 1 i=3 1 i=2 1 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
+ */
+ /* How to do the opposite? From combination h (=1 to 2**k) how to get the value on the covariates? */
+ /* from h=5 and m, we get then number of covariates k=log(m)/log(2)=4
+ * and the value of each covariate?
+ * V1=1, V2=1, V3=2, V4=1 ?
+ * h-1=4 and 4 is 0100 or reverse 0010, and +1 is 1121 ok.
+ * h=6, 6-1=5, 5 is 0101, 1010, 2121, V1=2nd, V2=1st, V3=2nd, V4=1st.
+ * In order to get the real value in the data, we use nbcode
+ * nbcode[Tvar[3][2nd]]=1 and nbcode[Tvar[4][1]]=0
+ * We are keeping this crazy system in order to be able (in the future?)
+ * to have more than 2 values (0 or 1) for a covariate.
+ * #define codtabm(h,k) (1 & (h-1) >> (k-1))+1
+ * h=6, k=2? h-1=5=0101, reverse 1010, +1=2121, k=2nd position: value is 1: codtabm(6,2)=1
+ * bbbbbbbb
+ * 76543210
+ * h-1 00000101 (6-1=5)
+ *(h-1)>>(k-1)= 00000001 >> (2-1) = 1 right shift
+ * &
+ * 1 00000001 (1)
+ * 00000001 = 1 & ((h-1) >> (k-1))
+ * +1= 00000010 =2
+ *
+ * h=14, k=3 => h'=h-1=13, k'=k-1=2
+ * h' 1101 =2^3+2^2+0x2^1+2^0
+ * >>k' 11
+ * & 00000001
+ * = 00000001
+ * +1 = 00000010=2 = codtabm(14,3)
+ * Reverse h=6 and m=16?
+ * cptcoveff=log(16)/log(2)=4 covariate: 6-1=5=0101 reversed=1010 +1=2121 =>V1=2, V2=1, V3=2, V4=1.
+ * for (j=1 to cptcoveff) Vj=decodtabm(j,h,cptcoveff)
+ * decodtabm(h,j,cptcoveff)= (((h-1) >> (j-1)) & 1) +1
+ * decodtabm(h,j,cptcoveff)= (h <= (1<> (j-1)) & 1) +1 : -1)
+ * V3=decodtabm(14,3,2**4)=2
+ * h'=13 1101 =2^3+2^2+0x2^1+2^0
+ *(h-1) >> (j-1) 0011 =13 >> 2
+ * &1 000000001
+ * = 000000001
+ * +1= 000000010 =2
+ * 2211
+ * V1=1+1, V2=0+1, V3=1+1, V4=1+1
+ * V3=2
+ */
+
+ /* /\* 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) {
printf("Problem with file %s",optionfilegnuplot);
}
else{
- fprintf(ficgp,"\n# %s\n", version);
+ fprintf(ficgp,"\n# IMaCh-%s\n", version);
fprintf(ficgp,"# %s\n", optionfilegnuplot);
- fprintf(ficgp,"set missing 'NaNq'\n");
+ //fprintf(ficgp,"set missing 'NaNq'\n");
+ 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), exit(0);
+ printf("Problem with %s \n",optionfilehtm);
+ exit(0);
}
strcpy(optionfilehtmcov,optionfilefiname); /* Only for matrix of covariance */
@@ -4902,34 +7914,44 @@ int main(int argc, char *argv[])
printf("Problem with %s \n",optionfilehtmcov), exit(0);
}
else{
- fprintf(fichtmcov,"\nIMaCh Cov %s\n %s
%s \
+ fprintf(fichtmcov,"\nIMaCh Cov %s\n %s
%s \
\n\
-Title=%s
Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s
\n",\
- fileres,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);
+Title=%s
Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s
\n",\
+ optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);
}
- fprintf(fichtm,"\nIMaCh %s\n %s
%s \
+ fprintf(fichtm,"\n\n\nIMaCh %s\n IMaCh for Interpolated Markov Chain
\nSponsored by Copyright (C) 2002-2015 INED-EUROREVES-Institut de longévité-2013-2016-Japan Society for the Promotion of Sciences 日本å¦è¡“振興会 (Grant-in-Aid for Scientific Research 25293121) - Intel Software 2015-2018
\
\n\
-Title=%s
Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s
\n\
+IMaCh-%s
%s \
+
\n\
+Title=%s
Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s
\n\
\n\
\
Parameter files
\n\
+ - Parameter file: %s.%s
\n\
- Copy of the parameter file: o%s
\n\
- Log file of the run: %s
\n\
- Gnuplot file name: %s
\n\
- Date and time at start: %s
\n",\
- fileres,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model,\
+ optionfilehtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model,\
+ optionfilefiname,optionfilext,optionfilefiname,optionfilext,\
fileres,fileres,\
filelog,filelog,optionfilegnuplot,optionfilegnuplot,strstart);
fflush(fichtm);
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'. */
- freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart);
+ freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart,\
+ firstpass, lastpass, stepm, weightopt, model);
fprintf(fichtm,"\n");
fprintf(fichtm,"
Total number of observations=%d
\n\
@@ -4948,9 +7970,10 @@ 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=matrix(1,NDIM,1,NDIM);
+ /* ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */
cens=ivector(1,n);
ageexmed=vector(1,n);
agecens=vector(1,n);
@@ -4988,45 +8011,133 @@ Interval (in months) between two waves:
ximort[i][j]=(i == j ? 1.0 : 0.0);
}
- p[1]=0.0268; p[NDIM]=0.083;
+ /*p[1]=0.0268; p[NDIM]=0.083;*/
/*printf("%lf %lf", p[1], p[2]);*/
+#ifdef GSL
+ printf("GSL optimization\n"); fprintf(ficlog,"Powell\n");
+#else
printf("Powell\n"); fprintf(ficlog,"Powell\n");
- strcpy(filerespow,"pow-mort");
- strcat(filerespow,fileres);
+#endif
+ 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);
}
+#ifdef GSL
+ fprintf(ficrespow,"# GSL optimization\n# iter -2*LL");
+#else
fprintf(ficrespow,"# Powell\n# iter -2*LL");
+#endif
/* for (i=1;i<=nlstate;i++)
for(j=1;j<=nlstate+ndeath;j++)
if(j!=i)fprintf(ficrespow," p%1d%1d",i,j);
*/
fprintf(ficrespow,"\n");
+#ifdef GSL
+ /* gsl starts here */
+ T = gsl_multimin_fminimizer_nmsimplex;
+ gsl_multimin_fminimizer *sfm = NULL;
+ gsl_vector *ss, *x;
+ gsl_multimin_function minex_func;
+
+ /* Initial vertex size vector */
+ ss = gsl_vector_alloc (NDIM);
+
+ if (ss == NULL){
+ GSL_ERROR_VAL ("failed to allocate space for ss", GSL_ENOMEM, 0);
+ }
+ /* Set all step sizes to 1 */
+ gsl_vector_set_all (ss, 0.001);
+
+ /* Starting point */
+
+ x = gsl_vector_alloc (NDIM);
+
+ if (x == NULL){
+ gsl_vector_free(ss);
+ GSL_ERROR_VAL ("failed to allocate space for x", GSL_ENOMEM, 0);
+ }
+
+ /* Initialize method and iterate */
+ /* p[1]=0.0268; p[NDIM]=0.083; */
+ /* gsl_vector_set(x, 0, 0.0268); */
+ /* gsl_vector_set(x, 1, 0.083); */
+ gsl_vector_set(x, 0, p[1]);
+ gsl_vector_set(x, 1, p[2]);
+
+ minex_func.f = &gompertz_f;
+ minex_func.n = NDIM;
+ minex_func.params = (void *)&p; /* ??? */
+
+ sfm = gsl_multimin_fminimizer_alloc (T, NDIM);
+ gsl_multimin_fminimizer_set (sfm, &minex_func, x, ss);
+
+ printf("Iterations beginning .....\n\n");
+ printf("Iter. # Intercept Slope -Log Likelihood Simplex size\n");
+
+ iteri=0;
+ while (rval == GSL_CONTINUE){
+ iteri++;
+ status = gsl_multimin_fminimizer_iterate(sfm);
+
+ if (status) printf("error: %s\n", gsl_strerror (status));
+ fflush(0);
+
+ if (status)
+ break;
+
+ rval = gsl_multimin_test_size (gsl_multimin_fminimizer_size (sfm), 1e-6);
+ ssval = gsl_multimin_fminimizer_size (sfm);
+
+ if (rval == GSL_SUCCESS)
+ printf ("converged to a local maximum at\n");
+
+ printf("%5d ", iteri);
+ for (it = 0; it < NDIM; it++){
+ printf ("%10.5f ", gsl_vector_get (sfm->x, it));
+ }
+ printf("f() = %-10.5f ssize = %.7f\n", sfm->fval, ssval);
+ }
- powell(p,ximort,NDIM,ftol,&iter,&fret,gompertz);
+ printf("\n\n Please note: Program should be run many times with varying starting points to detemine global maximum\n\n");
+
+ gsl_vector_free(x); /* initial values */
+ gsl_vector_free(ss); /* inital step size */
+ for (it=0; itx,it);
+ fprintf(ficrespow," %.12lf", p[it]);
+ }
+ gsl_multimin_fminimizer_free (sfm); /* p *(sfm.x.data) et p *(sfm.x.data+1) */
+#endif
+#ifdef POWELL
+ powell(p,ximort,NDIM,ftol,&iter,&fret,gompertz);
+#endif
fclose(ficrespow);
- hesscov(matcov, p, NDIM, delti, 1e-4, gompertz);
+ 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);
@@ -5057,37 +8168,57 @@ Interval (in months) between two waves:
printf("%d %.0lf %lf %.0lf %.0lf %.0lf %lf\n",k,lsurv[k],p[1]*exp(p[2]*(k-agegomp)),(p[1]*exp(p[2]*(k-agegomp)))*lsurv[k],lpop[k],tpop[k],tpop[k]/lsurv[k]);
- replace_back_to_slash(pathc,path); /* Even gnuplot wants a / */
- printinggnuplotmort(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);
-
- printinghtmlmort(fileres,title,datafile, firstpass, lastpass, \
+ replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */
+ if(ageminpar == AGEOVERFLOW ||agemaxpar == AGEOVERFLOW){
+ printf("Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\
+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);
free_vector(lsurv,1,AGESUP);
free_vector(lpop,1,AGESUP);
free_vector(tpop,1,AGESUP);
- } /* Endof if mle==-3 */
-
- else{ /* For mle >=1 */
-
+#ifdef GSL
+ free_ivector(cens,1,n);
+ free_vector(agecens,1,n);
+ free_ivector(dcwave,1,n);
+ free_matrix(ximort,1,NDIM,1,NDIM);
+#endif
+ } /* Endof if mle==-3 mortality only */
+ /* Standard */
+ else{ /* For mle !=- 3, could be 0 or 1 or 4 etc. */
+ globpr=0;/* Computes sum of likelihood for globpr=1 and funcone */
+ /* Computes likelihood for initial parameters, uses funcone to compute gpimx and gsw */
likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
printf("First Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);
for (k=1; k<=npar;k++)
printf(" %d %8.5f",k,p[k]);
printf("\n");
- globpr=1; /* to print the contributions */
+ if(mle>=1){ /* Could be 1 or 2, Real Maximization */
+ /* mlikeli uses func not funcone */
+ mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);
+ }
+ if(mle==0) {/* No optimization, will print the likelihoods for the datafile */
+ globpr=0;/* Computes sum of likelihood for globpr=1 and funcone */
+ /* Computes likelihood for initial parameters, uses funcone to compute gpimx and gsw */
+ likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
+ }
+ globpr=1; /* again, to print the individual contributions using computed gpimx and gsw */
likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);
for (k=1; k<=npar;k++)
printf(" %d %8.5f",k,p[k]);
printf("\n");
- if(mle>=1){ /* Could be 1 or 2 */
- 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");
@@ -5100,9 +8231,9 @@ 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("%f ",p[jk]);
- fprintf(ficlog,"%f ",p[jk]);
- fprintf(ficres,"%f ",p[jk]);
+ printf("%12.7f ",p[jk]);
+ fprintf(ficlog,"%12.7f ",p[jk]);
+ fprintf(ficres,"%12.7f ",p[jk]);
jk++;
}
printf("\n");
@@ -5111,11 +8242,30 @@ 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");
@@ -5139,7 +8289,7 @@ 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\ */
@@ -5202,9 +8352,9 @@ 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]);
}
}
}
@@ -5223,17 +8373,40 @@ Interval (in months) between two waves:
fflush(ficlog);
fflush(ficres);
-
- while((c=getc(ficpar))=='#' && c!= EOF){
- ungetc(c,ficpar);
- fgets(line, MAXLINE, ficpar);
- puts(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);
- }
- ungetc(c,ficpar);
+ fputs(line,ficlog);
+ continue;
+ }else
+ break;
+ }
+
+ /* while((c=getc(ficpar))=='#' && c!= EOF){ */
+ /* ungetc(c,ficpar); */
+ /* fgets(line, MAXLINE, ficpar); */
+ /* fputs(line,stdout); */
+ /* fputs(line,ficparo); */
+ /* } */
+ /* ungetc(c,ficpar); */
estepm=0;
- fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm);
+ if((num_filled=sscanf(line,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm, &ftolpl)) !=EOF){
+
+ if (num_filled != 6) {
+ printf("Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n");
+ printf("but line=%s\n",line);
+ goto end;
+ }
+ printf("agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",ageminpar,agemaxpar, bage, fage, estepm, ftolpl);
+ }
+ /* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */
+ /*ftolpl=6.e-4;*/ /* 6.e-3 make convergences in less than 80 loops for the prevalence limit */
+
+ /* fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm); */
if (estepm==0 || estepm < stepm) estepm=stepm;
if (fage <= 2) {
bage = ageminpar;
@@ -5241,13 +8414,14 @@ 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);
-
+ fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d ftolpl=%e\n",ageminpar,agemaxpar,bage,fage, estepm, ftolpl);
+ fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d, ftolpl=%e\n",ageminpar,agemaxpar,bage,fage, estepm, ftolpl);
+
+ /* Other stuffs, more or less useful */
while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);
- puts(line);
+ fputs(line,stdout);
fputs(line,ficparo);
}
ungetc(c,ficpar);
@@ -5261,7 +8435,7 @@ Interval (in months) between two waves:
while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);
- puts(line);
+ fputs(line,stdout);
fputs(line,ficparo);
}
ungetc(c,ficpar);
@@ -5271,13 +8445,14 @@ 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);
while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);
- puts(line);
+ fputs(line,stdout);
fputs(line,ficparo);
}
ungetc(c,ficpar);
@@ -5291,23 +8466,31 @@ Interval (in months) between two waves:
- /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint);*/
- /*,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
+ /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint); */
+ /* ,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); */
- replace_back_to_slash(pathc,path); /* Even gnuplot wants a / */
- printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);
+ replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */
+ if(ageminpar == AGEOVERFLOW ||agemaxpar == -AGEOVERFLOW){
+ printf("Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\
+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, prevfcast, pathc,p);
- printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,\
- model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,\
- jprev1,mprev1,anprev1,jprev2,mprev2,anprev2);
+ printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt,\
+ model,imx,jmin,jmax,jmean,rfileres,popforecast,prevfcast,estepm, \
+ jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2);
/*------------ free_vector -------------*/
/* chdir(path); */
- free_ivector(wav,1,imx);
- free_imatrix(dh,1,lastpass-firstpass+1,1,imx);
- free_imatrix(bh,1,lastpass-firstpass+1,1,imx);
- free_imatrix(mw,1,lastpass-firstpass+1,1,imx);
+ /* free_ivector(wav,1,imx); */ /* Moved after last prevalence call */
+ /* free_imatrix(dh,1,lastpass-firstpass+2,1,imx); */
+ /* free_imatrix(bh,1,lastpass-firstpass+2,1,imx); */
+ /* free_imatrix(mw,1,lastpass-firstpass+2,1,imx); */
free_lvector(num,1,n);
free_vector(agedc,1,n);
/*free_matrix(covar,0,NCOVMAX,1,n);*/
@@ -5316,117 +8499,28 @@ Interval (in months) between two waves:
fclose(ficres);
- /*--------------- Prevalence limit (stable prevalence) --------------*/
-
- strcpy(filerespl,"pl");
- strcat(filerespl,fileres);
- if((ficrespl=fopen(filerespl,"w"))==NULL) {
- printf("Problem with stable prevalence resultfile: %s\n", filerespl);goto end;
- fprintf(ficlog,"Problem with stable prevalence resultfile: %s\n", filerespl);goto end;
- }
- printf("Computing stable prevalence: result on file '%s' \n", filerespl);
- fprintf(ficlog,"Computing stable prevalence: result on file '%s' \n", filerespl);
- fprintf(ficrespl, "#Local time at start: %s", strstart);
- fprintf(ficrespl,"#Stable prevalence \n");
- fprintf(ficrespl,"#Age ");
- for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);
- fprintf(ficrespl,"\n");
-
- prlim=matrix(1,nlstate,1,nlstate);
+ /* Other results (useful)*/
- agebase=ageminpar;
- agelim=agemaxpar;
- ftolpl=1.e-10;
- i1=cptcoveff;
- if (cptcovn < 1){i1=1;}
- for(cptcov=1,k=0;cptcov<=i1;cptcov++){
- for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
- k=k+1;
- /*printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);*/
- fprintf(ficrespl,"\n#******");
- printf("\n#******");
- fprintf(ficlog,"\n#******");
- for(j=1;j<=cptcoveff;j++) {
- fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
- printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
- fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
- }
- fprintf(ficrespl,"******\n");
- printf("******\n");
- fprintf(ficlog,"******\n");
-
- for (age=agebase; age<=agelim; age++){
- prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
- fprintf(ficrespl,"%.0f ",age );
- for(j=1;j<=cptcoveff;j++)
- fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
- for(i=1; i<=nlstate;i++)
- fprintf(ficrespl," %.5f", prlim[i][i]);
- fprintf(ficrespl,"\n");
- }
- }
- }
+ /*--------------- Prevalence limit (period or stable prevalence) --------------*/
+ /*#include "prevlim.h"*/ /* Use ficrespl, ficlog */
+ prlim=matrix(1,nlstate,1,nlstate);
+ prevalence_limit(p, prlim, ageminpar, agemaxpar, ftolpl, &ncvyear);
fclose(ficrespl);
- /*------------- h Pij x at various ages ------------*/
-
- strcpy(filerespij,"pij"); strcat(filerespij,fileres);
- if((ficrespij=fopen(filerespij,"w"))==NULL) {
- printf("Problem with Pij resultfile: %s\n", filerespij);goto end;
- fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij);goto end;
- }
- printf("Computing pij: result on file '%s' \n", filerespij);
- fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij);
-
- stepsize=(int) (stepm+YEARM-1)/YEARM;
- /*if (stepm<=24) stepsize=2;*/
-
- agelim=AGESUP;
- hstepm=stepsize*YEARM; /* Every year of age */
- hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */
-
- /* hstepm=1; aff par mois*/
- fprintf(ficrespij, "#Local time at start: %s", strstart);
- fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x ");
- for(cptcov=1,k=0;cptcov<=i1;cptcov++){
- for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
- k=k+1;
- fprintf(ficrespij,"\n#****** ");
- for(j=1;j<=cptcoveff;j++)
- fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
- fprintf(ficrespij,"******\n");
-
- for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */
- nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */
- nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
-
- /* nhstepm=nhstepm*YEARM; aff par mois*/
+#ifdef FREEEXIT2
+#include "freeexit2.h"
+#endif
- p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
- oldm=oldms;savm=savms;
- hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);
- fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j=");
- for(i=1; i<=nlstate;i++)
- for(j=1; j<=nlstate+ndeath;j++)
- fprintf(ficrespij," %1d-%1d",i,j);
- fprintf(ficrespij,"\n");
- for (h=0; h<=nhstepm; h++){
- fprintf(ficrespij,"%d %3.f %3.f",k,agedeb, agedeb+ h*hstepm/YEARM*stepm );
- for(i=1; i<=nlstate;i++)
- for(j=1; j<=nlstate+ndeath;j++)
- fprintf(ficrespij," %.5f", p3mat[i][j][h]);
- fprintf(ficrespij,"\n");
- }
- free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
- fprintf(ficrespij,"\n");
- }
- }
- }
+ /*------------- h Pij x at various ages ------------*/
+ /*#include "hpijx.h"*/
+ hPijx(p, bage, fage);
+ fclose(ficrespij);
+ /*-------------- Variance of one-step probabilities---*/
+ k=1;
varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart);
- fclose(ficrespij);
probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
for(i=1;i<=AGESUP;i++)
@@ -5438,7 +8532,7 @@ 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{ */
@@ -5447,43 +8541,20 @@ 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); */
/* } */
}
-
-
- /*---------- Health expectancies and variances ------------*/
-
- strcpy(filerest,"t");
- strcat(filerest,fileres);
- if((ficrest=fopen(filerest,"w"))==NULL) {
- printf("Problem with total LE resultfile: %s\n", filerest);goto end;
- fprintf(ficlog,"Problem with total LE resultfile: %s\n", filerest);goto end;
- }
- printf("Computing Total LEs with variances: file '%s' \n", filerest);
- fprintf(ficlog,"Computing Total LEs with variances: file '%s' \n", filerest);
-
-
- strcpy(filerese,"e");
- strcat(filerese,fileres);
- if((ficreseij=fopen(filerese,"w"))==NULL) {
- printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
- fprintf(ficlog,"Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
- }
- printf("Computing Health Expectancies: result on file '%s' \n", filerese);
- fprintf(ficlog,"Computing Health Expectancies: result on file '%s' \n", filerese);
-
- strcpy(fileresv,"v");
- strcat(fileresv,fileres);
- if((ficresvij=fopen(fileresv,"w"))==NULL) {
- printf("Problem with variance resultfile: %s\n", fileresv);exit(0);
- fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0);
- }
- printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
- fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
+
+ /* ------ Other prevalence ratios------------ */
/* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */
+
prevalence(probs, agemin, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
/* printf("ageminpar=%f, agemax=%f, s[lastpass][imx]=%d, agev[lastpass][imx]=%f, nlstate=%d, imx=%d, mint[lastpass][imx]=%f, anint[lastpass][imx]=%f,dateprev1=%f, dateprev2=%f, firstpass=%d, lastpass=%d\n",\
ageminpar, agemax, s[lastpass][imx], agev[lastpass][imx], nlstate, imx, mint[lastpass][imx],anint[lastpass][imx], dateprev1, dateprev2, firstpass, lastpass);
*/
+ free_ivector(wav,1,imx);
+ free_imatrix(dh,1,lastpass-firstpass+2,1,imx);
+ free_imatrix(bh,1,lastpass-firstpass+2,1,imx);
+ free_imatrix(mw,1,lastpass-firstpass+2,1,imx);
+
if (mobilav!=0) {
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
@@ -5493,44 +8564,138 @@ Interval (in months) between two waves:
}
}
- for(cptcov=1,k=0;cptcov<=i1;cptcov++){
- for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
- k=k+1;
- fprintf(ficrest,"\n#****** ");
- for(j=1;j<=cptcoveff;j++)
- fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
- fprintf(ficrest,"******\n");
+ /*---------- Health expectancies, no variances ------------*/
+
+ strcpy(filerese,"E_");
+ strcat(filerese,fileresu);
+ if((ficreseij=fopen(filerese,"w"))==NULL) {
+ printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
+ fprintf(ficlog,"Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
+ }
+ printf("Computing Health Expectancies: result on file '%s' ...", filerese);fflush(stdout);
+ fprintf(ficlog,"Computing Health Expectancies: result on file '%s' ...", filerese);fflush(ficlog);
+ /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
+ for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
+
+ for (k=1; k <= (int) pow(2,cptcoveff); k++){
fprintf(ficreseij,"\n#****** ");
- for(j=1;j<=cptcoveff;j++)
- fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
+ for(j=1;j<=cptcoveff;j++) {
+ fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+ }
fprintf(ficreseij,"******\n");
- fprintf(ficresvij,"\n#****** ");
- for(j=1;j<=cptcoveff;j++)
- fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
- fprintf(ficresvij,"******\n");
-
eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
oldm=oldms;savm=savms;
- evsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart);
-
- vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
- oldm=oldms;savm=savms;
- varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,0, mobilav, strstart);
- if(popbased==1){
- varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,popbased,mobilav, strstart);
- }
+ evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart);
+
+ free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
+ /*}*/
+ }
+ fclose(ficreseij);
+ printf("done evsij\n");fflush(stdout);
+ fprintf(ficlog,"done evsij\n");fflush(ficlog);
+
+ /*---------- Health expectancies and variances ------------*/
- fprintf(ficrest, "#Local time at start: %s", strstart);
- fprintf(ficrest,"#Total LEs with variances: e.. (std) ");
+
+ strcpy(filerest,"T_");
+ strcat(filerest,fileresu);
+ if((ficrest=fopen(filerest,"w"))==NULL) {
+ printf("Problem with total LE resultfile: %s\n", filerest);goto end;
+ fprintf(ficlog,"Problem with total LE resultfile: %s\n", filerest);goto end;
+ }
+ printf("Computing Total Life expectancies with their standard errors: file '%s' ...\n", filerest); fflush(stdout);
+ fprintf(ficlog,"Computing Total Life expectancies with their standard errors: file '%s' ...\n", filerest); fflush(ficlog);
+
+
+ strcpy(fileresstde,"STDE_");
+ strcat(fileresstde,fileresu);
+ if((ficresstdeij=fopen(fileresstde,"w"))==NULL) {
+ printf("Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);
+ fprintf(ficlog,"Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);
+ }
+ printf(" Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);
+ fprintf(ficlog," Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);
+
+ strcpy(filerescve,"CVE_");
+ strcat(filerescve,fileresu);
+ if((ficrescveij=fopen(filerescve,"w"))==NULL) {
+ printf("Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);
+ fprintf(ficlog,"Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);
+ }
+ printf(" Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);
+ fprintf(ficlog," Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);
+
+ strcpy(fileresv,"V_");
+ strcat(fileresv,fileresu);
+ if((ficresvij=fopen(fileresv,"w"))==NULL) {
+ printf("Problem with variance resultfile: %s\n", fileresv);exit(0);
+ fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0);
+ }
+ printf(" Computing Variance-covariance of DFLEs: file '%s' ... ", fileresv);fflush(stdout);
+ fprintf(ficlog," Computing Variance-covariance of DFLEs: file '%s' ... ", fileresv);fflush(ficlog);
+
+ /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
+ for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
+
+ for (k=1; k <= (int) pow(2,cptcoveff); k++){
+ fprintf(ficrest,"\n#****** ");
+ for(j=1;j<=cptcoveff;j++)
+ fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+ fprintf(ficrest,"******\n");
+
+ fprintf(ficresstdeij,"\n#****** ");
+ fprintf(ficrescveij,"\n#****** ");
+ for(j=1;j<=cptcoveff;j++) {
+ fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+ fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+ }
+ fprintf(ficresstdeij,"******\n");
+ fprintf(ficrescveij,"******\n");
+
+ fprintf(ficresvij,"\n#****** ");
+ for(j=1;j<=cptcoveff;j++)
+ fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+ fprintf(ficresvij,"******\n");
+
+ eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
+ oldm=oldms;savm=savms;
+ printf(" cvevsij %d, ",k);
+ fprintf(ficlog, " cvevsij %d, ",k);
+ cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart);
+ printf(" end cvevsij \n ");
+ fprintf(ficlog, " end cvevsij \n ");
+
+ /*
+ */
+ /* goto endfree; */
+
+ vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
+ pstamp(ficrest);
+
+
+ for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/
+ oldm=oldms;savm=savms; /* ZZ Segmentation fault */
+ cptcod= 0; /* To be deleted */
+ printf("varevsij %d \n",vpopbased);
+ fprintf(ficlog, "varevsij %d \n",vpopbased);
+ varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, &ncvyear, k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); /* cptcod not initialized Intel */
+ fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are ");
+ if(vpopbased==1)
+ fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);
+ else
+ fprintf(ficrest,"the age specific period (stable) prevalences in each health state \n");
+ fprintf(ficrest,"# Age popbased mobilav e.. (std) ");
for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);
fprintf(ficrest,"\n");
-
+ /* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */
epj=vector(1,nlstate+1);
+ printf("Computing age specific period (stable) prevalences in each health state \n");
+ fprintf(ficlog,"Computing age specific period (stable) prevalences in each health state \n");
for(age=bage; age <=fage ;age++){
- prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
- if (popbased==1) {
+ prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, &ncvyear, k); /*ZZ Is it the correct prevalim */
+ if (vpopbased==1) {
if(mobilav ==0){
for(i=1; i<=nlstate;i++)
prlim[i][i]=probs[(int)age][i][k];
@@ -5539,16 +8704,20 @@ Interval (in months) between two waves:
prlim[i][i]=mobaverage[(int)age][i][k];
}
}
-
- fprintf(ficrest," %4.0f",age);
+
+ fprintf(ficrest," %4.0f %d %d",age, vpopbased, mobilav);
+ /* fprintf(ficrest," %4.0f %d %d %d %d",age, vpopbased, mobilav,Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ /* to be done */
+ /* printf(" age %4.0f ",age); */
for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){
for(i=1, epj[j]=0.;i <=nlstate;i++) {
epj[j] += prlim[i][i]*eij[i][j][(int)age];
- /* 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++)
vepp += vareij[i][j][(int)age];
@@ -5558,124 +8727,150 @@ Interval (in months) between two waves:
}
fprintf(ficrest,"\n");
}
- free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
- free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);
- free_vector(epj,1,nlstate+1);
- }
- }
+ } /* End vpopbased */
+ free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
+ free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);
+ free_vector(epj,1,nlstate+1);
+ printf("done \n");fflush(stdout);
+ fprintf(ficlog,"done\n");fflush(ficlog);
+
+ /*}*/
+ } /* End k */
free_vector(weight,1,n);
- free_imatrix(Tvard,1,15,1,2);
+ free_imatrix(Tvard,1,NCOVMAX,1,2);
free_imatrix(s,1,maxwav+1,1,n);
free_matrix(anint,1,maxwav,1,n);
free_matrix(mint,1,maxwav,1,n);
free_ivector(cod,1,n);
free_ivector(tab,1,NCOVMAX);
- fclose(ficreseij);
+ fclose(ficresstdeij);
+ fclose(ficrescveij);
fclose(ficresvij);
fclose(ficrest);
+ printf("done Health expectancies\n");fflush(stdout);
+ fprintf(ficlog,"done Health expectancies\n");fflush(ficlog);
fclose(ficpar);
- /*------- Variance of stable prevalence------*/
+ /*------- 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 stable prevalence resultfile: %s\n", fileresvpl);
+ printf("Problem with variance of period (stable) prevalence resultfile: %s\n", fileresvpl);
exit(0);
}
- printf("Computing Variance-covariance of stable prevalence: file '%s' \n", fileresvpl);
+ printf("Computing Variance-covariance of period (stable) prevalence: file '%s' ...", fileresvpl);fflush(stdout);
+ fprintf(ficlog, "Computing Variance-covariance of period (stable) prevalence: file '%s' ...", fileresvpl);fflush(ficlog);
- for(cptcov=1,k=0;cptcov<=i1;cptcov++){
- for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
- k=k+1;
- fprintf(ficresvpl,"\n#****** ");
+ /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
+ for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
+
+ for (k=1; k <= (int) pow(2,cptcoveff); k++){
+ fprintf(ficresvpl,"\n#****** ");
for(j=1;j<=cptcoveff;j++)
- fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][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);
- }
+ /*}*/
}
fclose(ficresvpl);
+ printf("done variance-covariance of period prevalence\n");fflush(stdout);
+ fprintf(ficlog,"done variance-covariance of period prevalence\n");fflush(ficlog);
/*---------- End : free ----------------*/
if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
-
} /* mle==-3 arrives here for freeing */
+ /* endfree:*/
+ free_matrix(prlim,1,nlstate,1,nlstate); /*here or after loop ? */
free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);
-
free_matrix(covar,0,NCOVMAX,1,n);
free_matrix(matcov,1,npar,1,npar);
+ free_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,1,8);
- free_ivector(Tvar,1,15);
- free_ivector(Tprod,1,15);
- free_ivector(Tvaraff,1,15);
- free_ivector(Tage,1,15);
- free_ivector(Tcode,1,100);
-
+ 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); */
fflush(fichtm);
fflush(ficgp);
if((nberr >0) || (nbwarn>0)){
- printf("End of Imach with %d errors and/or %d warnings\n",nberr,nbwarn);
- fprintf(ficlog,"End of Imach with %d errors and/or warnings %d\n",nberr,nbwarn);
+ printf("End of Imach with %d errors and/or %d warnings. Please look at the log file for details.\n",nberr,nbwarn);
+ fprintf(ficlog,"End of Imach with %d errors and/or warnings %d. Please look at the log file for details.\n",nberr,nbwarn);
}else{
printf("End of Imach\n");
fprintf(ficlog,"End of Imach\n");
}
printf("See log file on %s\n",filelog);
/* gettimeofday(&end_time, (struct timezone*)0);*/ /* after time */
- (void) gettimeofday(&end_time,&tzp);
- tm = *localtime(&end_time.tv_sec);
- tmg = *gmtime(&end_time.tv_sec);
- strcpy(strtend,asctime(&tm));
+ /*(void) gettimeofday(&end_time,&tzp);*/
+ rend_time = time(NULL);
+ end_time = *localtime(&rend_time);
+ /* tml = *localtime(&end_time.tm_sec); */
+ strcpy(strtend,asctime(&end_time));
printf("Local time at start %s\nLocal time at end %s",strstart, strtend);
fprintf(ficlog,"Local time at start %s\nLocal time at end %s\n",strstart, strtend);
- printf("Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));
+ printf("Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout));
- printf("Total time was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);
- fprintf(ficlog,"Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));
- fprintf(ficlog,"Total time was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);
+ printf("Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time));
+ fprintf(ficlog,"Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout));
+ fprintf(ficlog,"Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time));
/* printf("Total time was %d uSec.\n", total_usecs);*/
/* if(fileappend(fichtm,optionfilehtm)){ */
- fprintf(fichtm,"
Local time at start %s
Local time at end %s
",strstart, strtend);
+ fprintf(fichtm,"
Local time at start %s
Local time at end %s
\n",strstart, strtend);
fclose(fichtm);
+ fprintf(fichtmcov,"
Local time at start %s
Local time at end %s
\n",strstart, strtend);
fclose(fichtmcov);
fclose(ficgp);
fclose(ficlog);
/*------ End -----------*/
- chdir(path);
+
+ 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)
+#endif
+ printf("Current directory %s!\n",pathcd);
/*strcat(plotcmd,CHARSEPARATOR);*/
sprintf(plotcmd,"gnuplot");
-#ifndef UNIX
- sprintf(plotcmd,"\"%swgnuplot.exe\"",pathimach);
+#ifdef _WIN32
+ sprintf(plotcmd,"\"%sgnuplot.exe\"",pathimach);
#endif
if(!stat(plotcmd,&info)){
- printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);
+ printf("Error or gnuplot program not found: '%s'\n",plotcmd);fflush(stdout);
if(!stat(getenv("GNUPLOTBIN"),&info)){
- printf("Error gnuplot program not found: %s Environment GNUPLOTBIN not set.\n",plotcmd);fflush(stdout);
+ printf("Error or gnuplot program not found: '%s' Environment GNUPLOTBIN not set.\n",plotcmd);fflush(stdout);
}else
strcpy(pplotcmd,plotcmd);
-#ifdef UNIX
+#ifdef __unix
strcpy(plotcmd,GNUPLOTPROGRAM);
if(!stat(plotcmd,&info)){
- printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);
+ printf("Error gnuplot program not found: '%s'\n",plotcmd);fflush(stdout);
}else
strcpy(pplotcmd,plotcmd);
#endif
@@ -5683,30 +8878,38 @@ Interval (in months) between two waves:
strcpy(pplotcmd,plotcmd);
sprintf(plotcmd,"%s %s",pplotcmd, optionfilegnuplot);
- printf("Starting graphs with: %s\n",plotcmd);fflush(stdout);
+ printf("Starting graphs with: '%s'\n",plotcmd);fflush(stdout);
if((outcmd=system(plotcmd)) != 0){
- printf("\n Problem with gnuplot\n");
+ printf("gnuplot command might not be in your path: '%s', err=%d\n", plotcmd, outcmd);
+ printf("\n Trying if gnuplot resides on the same directory that IMaCh\n");
+ sprintf(plotcmd,"%sgnuplot %s", pathimach, optionfilegnuplot);
+ if((outcmd=system(plotcmd)) != 0)
+ printf("\n Still a problem with gnuplot command %s, err=%d\n", plotcmd, outcmd);
}
- printf(" Wait...");
+ printf(" Successful, please wait...");
while (z[0] != 'q') {
/* chdir(path); */
- printf("\nType e to edit output files, g to graph again and q for exiting: ");
+ printf("\nType e to edit results with your browser, g to graph again and q for exit: ");
scanf("%s",z);
/* if (z[0] == 'c') system("./imach"); */
if (z[0] == 'e') {
- printf("Starting browser with: %s",optionfilehtm);fflush(stdout);
- system(optionfilehtm);
+#ifdef __APPLE__
+ sprintf(pplotcmd, "open %s", optionfilehtm);
+#elif __linux
+ sprintf(pplotcmd, "xdg-open %s", optionfilehtm);
+#else
+ sprintf(pplotcmd, "%s", optionfilehtm);
+#endif
+ printf("Starting browser with: %s",pplotcmd);fflush(stdout);
+ system(pplotcmd);
}
else if (z[0] == 'g') system(plotcmd);
else if (z[0] == 'q') exit(0);
}
end:
while (z[0] != 'q') {
- printf("\nType q for exiting: ");
+ printf("\nType q for exiting: "); fflush(stdout);
scanf("%s",z);
}
}
-
-
-