Annotation of imach096d/src/imach.c, revision 1.2
1.2 ! lievre 1:
! 2: /*********************** Imach **************************************
! 3: This program computes Healthy Life Expectancies from cross-longitudinal
! 4: data. Cross-longitudinal consist in a first survey ("cross") where
! 5: individuals from different ages are interviewed on their health status
! 6: or degree of disability. At least a second wave of interviews
! 7: ("longitudinal") should measure each new individual health status.
! 8: Health expectancies are computed from the transistions observed between
! 9: waves and are computed for each degree of severity of disability (number
! 10: of life states). More degrees you consider, more time is necessary to
! 11: reach the Maximum Likelihood of the parameters involved in the model.
! 12: The simplest model is the multinomial logistic model where pij is
! 13: the probabibility to be observed in state j at the second wave conditional
! 14: to be observed in state i at the first wave. Therefore the model is:
! 15: log(pij/pii)= aij + bij*age+ cij*sex + etc , where 'age' is age and 'sex'
! 16: is a covariate. If you want to have a more complex model than "constant and
! 17: age", you should modify the program where the markup
! 18: *Covariates have to be included here again* invites you to do it.
! 19: More covariates you add, less is the speed of the convergence.
! 20:
! 21: The advantage that this computer programme claims, comes from that if the
! 22: delay between waves is not identical for each individual, or if some
! 23: individual missed an interview, the information is not rounded or lost, but
! 24: taken into account using an interpolation or extrapolation.
! 25: hPijx is the probability to be
! 26: observed in state i at age x+h conditional to the observed state i at age
! 27: x. The delay 'h' can be split into an exact number (nh*stepm) of
! 28: unobserved intermediate states. This elementary transition (by month or
! 29: quarter trimester, semester or year) is model as a multinomial logistic.
! 30: The hPx matrix is simply the matrix product of nh*stepm elementary matrices
! 31: and the contribution of each individual to the likelihood is simply hPijx.
! 32:
! 33: Also this programme outputs the covariance matrix of the parameters but also
! 34: of the life expectancies. It also computes the prevalence limits.
! 35:
! 36: Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr).
! 37: Institut national d'études démographiques, Paris.
! 38: This software have been partly granted by Euro-REVES, a concerted action
! 39: from the European Union.
! 40: It is copyrighted identically to a GNU software product, ie programme and
! 41: software can be distributed freely for non commercial use. Latest version
! 42: can be accessed at http://euroreves.ined.fr/imach .
! 43: **********************************************************************/
! 44:
! 45: #include <math.h>
! 46: #include <stdio.h>
! 47: #include <stdlib.h>
! 48: #include <unistd.h>
! 49:
! 50: #define MAXLINE 256
! 51: #define FILENAMELENGTH 80
! 52: /*#define DEBUG*/
! 53: #define windows
! 54:
! 55: #define MAXPARM 30 /* Maximum number of parameters for the optimization */
! 56: #define NPARMAX 64 /* (nlstate+ndeath-1)*nlstate*ncovmodel */
! 57:
! 58: #define NINTERVMAX 8
! 59: #define NLSTATEMAX 8 /* Maximum number of live states (for func) */
! 60: #define NDEATHMAX 8 /* Maximum number of dead states (for func) */
! 61: #define NCOVMAX 8 /* Maximum number of covariates */
! 62: #define MAXN 80000
! 63: #define YEARM 12. /* Number of months per year */
! 64: #define AGESUP 130
! 65: #define AGEBASE 40
! 66:
! 67:
! 68: int nvar;
! 69: static int cptcov;
! 70: int cptcovn;
! 71: int npar=NPARMAX;
! 72: int nlstate=2; /* Number of live states */
! 73: int ndeath=1; /* Number of dead states */
! 74: int ncovmodel, ncov; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */
! 75:
! 76: int *wav; /* Number of waves for this individuual 0 is possible */
! 77: int maxwav; /* Maxim number of waves */
! 78: int mle, weightopt;
! 79: int **mw; /* mw[mi][i] is number of the mi wave for this individual */
! 80: int **dh; /* dh[mi][i] is number of steps between mi,mi+1 for this individual */
! 81: double **oldm, **newm, **savm; /* Working pointers to matrices */
! 82: double **oldms, **newms, **savms; /* Fixed working pointers to matrices */
! 83: FILE *fic,*ficpar, *ficparo,*ficres, *ficrespl, *ficrespij, *ficrest;
! 84: FILE *ficgp, *fichtm;
! 85: FILE *ficreseij;
! 86: char filerese[FILENAMELENGTH];
! 87: FILE *ficresvij;
! 88: char fileresv[FILENAMELENGTH];
! 89: FILE *ficresvpl;
! 90: char fileresvpl[FILENAMELENGTH];
! 91:
! 92:
! 93:
! 94:
! 95: #define NR_END 1
! 96: #define FREE_ARG char*
! 97: #define FTOL 1.0e-10
! 98:
! 99: #define NRANSI
! 100: #define ITMAX 200
! 101:
! 102: #define TOL 2.0e-4
! 103:
! 104: #define CGOLD 0.3819660
! 105: #define ZEPS 1.0e-10
! 106: #define SHFT(a,b,c,d) (a)=(b);(b)=(c);(c)=(d);
! 107:
! 108: #define GOLD 1.618034
! 109: #define GLIMIT 100.0
! 110: #define TINY 1.0e-20
! 111:
! 112: static double maxarg1,maxarg2;
! 113: #define FMAX(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)>(maxarg2)? (maxarg1):(maxarg2))
! 114: #define FMIN(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)<(maxarg2)? (maxarg1):(maxarg2))
! 115:
! 116: #define SIGN(a,b) ((b)>0.0 ? fabs(a) : -fabs(a))
! 117: #define rint(a) floor(a+0.5)
! 118:
! 119: static double sqrarg;
! 120: #define SQR(a) ((sqrarg=(a)) == 0.0 ? 0.0 :sqrarg*sqrarg)
! 121: #define SWAP(a,b) {temp=(a);(a)=(b);(b)=temp;}
! 122:
! 123: int imx;
! 124: int stepm;
! 125: /* Stepm, step in month: minimum step interpolation*/
! 126:
! 127: int m,nb;
! 128: int *num, firstpass=0, lastpass=4,*cod, *ncodemax;
! 129: double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint;
! 130: double **pmmij;
! 131:
! 132: double *weight;
! 133: int **s; /* Status */
! 134: double *agedc, **covar, idx;
! 135: int **nbcode, *Tcode, *Tvar, **codtab;
! 136:
! 137: double ftol=FTOL; /* Tolerance for computing Max Likelihood */
! 138: double ftolhess; /* Tolerance for computing hessian */
! 139:
! 140:
! 141: /******************************************/
! 142:
! 143: void replace(char *s, char*t)
! 144: {
! 145: int i;
! 146: int lg=20;
! 147: i=0;
! 148: lg=strlen(t);
! 149: for(i=0; i<= lg; i++) {
! 150: (s[i] = t[i]);
! 151: if (t[i]== '\\') s[i]='/';
! 152: }
! 153: }
! 154:
! 155: int nbocc(char *s, char occ)
! 156: {
! 157: int i,j=0;
! 158: int lg=20;
! 159: i=0;
! 160: lg=strlen(s);
! 161: for(i=0; i<= lg; i++) {
! 162: if (s[i] == occ ) j++;
! 163: }
! 164: return j;
! 165: }
! 166:
! 167: void cutv(char *u,char *v, char*t, char occ)
! 168: {
! 169: int i,lg,j,p;
! 170: i=0;
! 171: if (t[0]== occ) p=0;
! 172: for(j=0; j<=strlen(t)-1; j++) {
! 173: if((t[j]!= occ) && (t[j+1]==occ)) p=j+1;
! 174: }
! 175:
! 176: lg=strlen(t);
! 177: for(j=0; j<p; j++) {
! 178: (u[j] = t[j]);
! 179: u[p]='\0';
! 180: }
! 181:
! 182: for(j=0; j<= lg; j++) {
! 183: if (j>=(p+1))(v[j-p-1] = t[j]);
! 184: }
! 185: }
! 186:
! 187:
! 188: /********************** nrerror ********************/
! 189:
! 190: void nrerror(char error_text[])
! 191: {
! 192: fprintf(stderr,"ERREUR ...\n");
! 193: fprintf(stderr,"%s\n",error_text);
! 194: exit(1);
! 195: }
! 196: /*********************** vector *******************/
! 197: double *vector(int nl, int nh)
! 198: {
! 199: double *v;
! 200: v=(double *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(double)));
! 201: if (!v) nrerror("allocation failure in vector");
! 202: return v-nl+NR_END;
! 203: }
! 204:
! 205: /************************ free vector ******************/
! 206: void free_vector(double*v, int nl, int nh)
! 207: {
! 208: free((FREE_ARG)(v+nl-NR_END));
! 209: }
! 210:
! 211: /************************ivector *******************************/
! 212: int *ivector(long nl,long nh)
! 213: {
! 214: int *v;
! 215: v=(int *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(int)));
! 216: if (!v) nrerror("allocation failure in ivector");
! 217: return v-nl+NR_END;
! 218: }
! 219:
! 220: /******************free ivector **************************/
! 221: void free_ivector(int *v, long nl, long nh)
! 222: {
! 223: free((FREE_ARG)(v+nl-NR_END));
! 224: }
! 225:
! 226: /******************* imatrix *******************************/
! 227: int **imatrix(long nrl, long nrh, long ncl, long nch)
! 228: /* allocate a int matrix with subscript range m[nrl..nrh][ncl..nch] */
! 229: {
! 230: long i, nrow=nrh-nrl+1,ncol=nch-ncl+1;
! 231: int **m;
! 232:
! 233: /* allocate pointers to rows */
! 234: m=(int **) malloc((size_t)((nrow+NR_END)*sizeof(int*)));
! 235: if (!m) nrerror("allocation failure 1 in matrix()");
! 236: m += NR_END;
! 237: m -= nrl;
! 238:
! 239:
! 240: /* allocate rows and set pointers to them */
! 241: m[nrl]=(int *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(int)));
! 242: if (!m[nrl]) nrerror("allocation failure 2 in matrix()");
! 243: m[nrl] += NR_END;
! 244: m[nrl] -= ncl;
! 245:
! 246: for(i=nrl+1;i<=nrh;i++) m[i]=m[i-1]+ncol;
! 247:
! 248: /* return pointer to array of pointers to rows */
! 249: return m;
! 250: }
! 251:
! 252: /****************** free_imatrix *************************/
! 253: void free_imatrix(m,nrl,nrh,ncl,nch)
! 254: int **m;
! 255: long nch,ncl,nrh,nrl;
! 256: /* free an int matrix allocated by imatrix() */
! 257: {
! 258: free((FREE_ARG) (m[nrl]+ncl-NR_END));
! 259: free((FREE_ARG) (m+nrl-NR_END));
! 260: }
! 261:
! 262: /******************* matrix *******************************/
! 263: double **matrix(long nrl, long nrh, long ncl, long nch)
! 264: {
! 265: long i, nrow=nrh-nrl+1, ncol=nch-ncl+1;
! 266: double **m;
! 267:
! 268: m=(double **) malloc((size_t)((nrow+NR_END)*sizeof(double*)));
! 269: if (!m) nrerror("allocation failure 1 in matrix()");
! 270: m += NR_END;
! 271: m -= nrl;
! 272:
! 273: m[nrl]=(double *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double)));
! 274: if (!m[nrl]) nrerror("allocation failure 2 in matrix()");
! 275: m[nrl] += NR_END;
! 276: m[nrl] -= ncl;
! 277:
! 278: for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
! 279: return m;
! 280: }
! 281:
! 282: /*************************free matrix ************************/
! 283: void free_matrix(double **m, long nrl, long nrh, long ncl, long nch)
! 284: {
! 285: free((FREE_ARG)(m[nrl]+ncl-NR_END));
! 286: free((FREE_ARG)(m+nrl-NR_END));
! 287: }
! 288:
! 289: /******************* ma3x *******************************/
! 290: double ***ma3x(long nrl, long nrh, long ncl, long nch, long nll, long nlh)
! 291: {
! 292: long i, j, nrow=nrh-nrl+1, ncol=nch-ncl+1, nlay=nlh-nll+1;
! 293: double ***m;
! 294:
! 295: m=(double ***) malloc((size_t)((nrow+NR_END)*sizeof(double*)));
! 296: if (!m) nrerror("allocation failure 1 in matrix()");
! 297: m += NR_END;
! 298: m -= nrl;
! 299:
! 300: m[nrl]=(double **) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double)));
! 301: if (!m[nrl]) nrerror("allocation failure 2 in matrix()");
! 302: m[nrl] += NR_END;
! 303: m[nrl] -= ncl;
! 304:
! 305: for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
! 306:
! 307: m[nrl][ncl]=(double *) malloc((size_t)((nrow*ncol*nlay+NR_END)*sizeof(double)));
! 308: if (!m[nrl][ncl]) nrerror("allocation failure 3 in matrix()");
! 309: m[nrl][ncl] += NR_END;
! 310: m[nrl][ncl] -= nll;
! 311: for (j=ncl+1; j<=nch; j++)
! 312: m[nrl][j]=m[nrl][j-1]+nlay;
! 313:
! 314: for (i=nrl+1; i<=nrh; i++) {
! 315: m[i][ncl]=m[i-1l][ncl]+ncol*nlay;
! 316: for (j=ncl+1; j<=nch; j++)
! 317: m[i][j]=m[i][j-1]+nlay;
! 318: }
! 319: return m;
! 320: }
! 321:
! 322: /*************************free ma3x ************************/
! 323: void free_ma3x(double ***m, long nrl, long nrh, long ncl, long nch,long nll, long nlh)
! 324: {
! 325: free((FREE_ARG)(m[nrl][ncl]+ nll-NR_END));
! 326: free((FREE_ARG)(m[nrl]+ncl-NR_END));
! 327: free((FREE_ARG)(m+nrl-NR_END));
! 328: }
! 329:
! 330: /***************** f1dim *************************/
! 331: extern int ncom;
! 332: extern double *pcom,*xicom;
! 333: extern double (*nrfunc)(double []);
! 334:
! 335: double f1dim(double x)
! 336: {
! 337: int j;
! 338: double f;
! 339: double *xt;
! 340:
! 341: xt=vector(1,ncom);
! 342: for (j=1;j<=ncom;j++) xt[j]=pcom[j]+x*xicom[j];
! 343: f=(*nrfunc)(xt);
! 344: free_vector(xt,1,ncom);
! 345: return f;
! 346: }
! 347:
! 348: /*****************brent *************************/
! 349: double brent(double ax, double bx, double cx, double (*f)(double), double tol, double *xmin)
! 350: {
! 351: int iter;
! 352: double a,b,d,etemp;
! 353: double fu,fv,fw,fx;
! 354: double ftemp;
! 355: double p,q,r,tol1,tol2,u,v,w,x,xm;
! 356: double e=0.0;
! 357:
! 358: a=(ax < cx ? ax : cx);
! 359: b=(ax > cx ? ax : cx);
! 360: x=w=v=bx;
! 361: fw=fv=fx=(*f)(x);
! 362: for (iter=1;iter<=ITMAX;iter++) {
! 363: xm=0.5*(a+b);
! 364: tol2=2.0*(tol1=tol*fabs(x)+ZEPS);
! 365: /* if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret)))*/
! 366: printf(".");fflush(stdout);
! 367: #ifdef DEBUG
! 368: 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);
! 369: /* if ((fabs(x-xm) <= (tol2-0.5*(b-a)))||(2.0*fabs(fu-ftemp) <= ftol*1.e-2*(fabs(fu)+fabs(ftemp)))) { */
! 370: #endif
! 371: if (fabs(x-xm) <= (tol2-0.5*(b-a))){
! 372: *xmin=x;
! 373: return fx;
! 374: }
! 375: ftemp=fu;
! 376: if (fabs(e) > tol1) {
! 377: r=(x-w)*(fx-fv);
! 378: q=(x-v)*(fx-fw);
! 379: p=(x-v)*q-(x-w)*r;
! 380: q=2.0*(q-r);
! 381: if (q > 0.0) p = -p;
! 382: q=fabs(q);
! 383: etemp=e;
! 384: e=d;
! 385: if (fabs(p) >= fabs(0.5*q*etemp) || p <= q*(a-x) || p >= q*(b-x))
! 386: d=CGOLD*(e=(x >= xm ? a-x : b-x));
! 387: else {
! 388: d=p/q;
! 389: u=x+d;
! 390: if (u-a < tol2 || b-u < tol2)
! 391: d=SIGN(tol1,xm-x);
! 392: }
! 393: } else {
! 394: d=CGOLD*(e=(x >= xm ? a-x : b-x));
! 395: }
! 396: u=(fabs(d) >= tol1 ? x+d : x+SIGN(tol1,d));
! 397: fu=(*f)(u);
! 398: if (fu <= fx) {
! 399: if (u >= x) a=x; else b=x;
! 400: SHFT(v,w,x,u)
! 401: SHFT(fv,fw,fx,fu)
! 402: } else {
! 403: if (u < x) a=u; else b=u;
! 404: if (fu <= fw || w == x) {
! 405: v=w;
! 406: w=u;
! 407: fv=fw;
! 408: fw=fu;
! 409: } else if (fu <= fv || v == x || v == w) {
! 410: v=u;
! 411: fv=fu;
! 412: }
! 413: }
! 414: }
! 415: nrerror("Too many iterations in brent");
! 416: *xmin=x;
! 417: return fx;
! 418: }
! 419:
! 420: /****************** mnbrak ***********************/
! 421:
! 422: void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb, double *fc,
! 423: double (*func)(double))
! 424: {
! 425: double ulim,u,r,q, dum;
! 426: double fu;
! 427:
! 428: *fa=(*func)(*ax);
! 429: *fb=(*func)(*bx);
! 430: if (*fb > *fa) {
! 431: SHFT(dum,*ax,*bx,dum)
! 432: SHFT(dum,*fb,*fa,dum)
! 433: }
! 434: *cx=(*bx)+GOLD*(*bx-*ax);
! 435: *fc=(*func)(*cx);
! 436: while (*fb > *fc) {
! 437: r=(*bx-*ax)*(*fb-*fc);
! 438: q=(*bx-*cx)*(*fb-*fa);
! 439: u=(*bx)-((*bx-*cx)*q-(*bx-*ax)*r)/
! 440: (2.0*SIGN(FMAX(fabs(q-r),TINY),q-r));
! 441: ulim=(*bx)+GLIMIT*(*cx-*bx);
! 442: if ((*bx-u)*(u-*cx) > 0.0) {
! 443: fu=(*func)(u);
! 444: } else if ((*cx-u)*(u-ulim) > 0.0) {
! 445: fu=(*func)(u);
! 446: if (fu < *fc) {
! 447: SHFT(*bx,*cx,u,*cx+GOLD*(*cx-*bx))
! 448: SHFT(*fb,*fc,fu,(*func)(u))
! 449: }
! 450: } else if ((u-ulim)*(ulim-*cx) >= 0.0) {
! 451: u=ulim;
! 452: fu=(*func)(u);
! 453: } else {
! 454: u=(*cx)+GOLD*(*cx-*bx);
! 455: fu=(*func)(u);
! 456: }
! 457: SHFT(*ax,*bx,*cx,u)
! 458: SHFT(*fa,*fb,*fc,fu)
! 459: }
! 460: }
! 461:
! 462: /*************** linmin ************************/
! 463:
! 464: int ncom;
! 465: double *pcom,*xicom;
! 466: double (*nrfunc)(double []);
! 467:
! 468: void linmin(double p[], double xi[], int n, double *fret,double (*func)(double []))
! 469: {
! 470: double brent(double ax, double bx, double cx,
! 471: double (*f)(double), double tol, double *xmin);
! 472: double f1dim(double x);
! 473: void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb,
! 474: double *fc, double (*func)(double));
! 475: int j;
! 476: double xx,xmin,bx,ax;
! 477: double fx,fb,fa;
! 478:
! 479: ncom=n;
! 480: pcom=vector(1,n);
! 481: xicom=vector(1,n);
! 482: nrfunc=func;
! 483: for (j=1;j<=n;j++) {
! 484: pcom[j]=p[j];
! 485: xicom[j]=xi[j];
! 486: }
! 487: ax=0.0;
! 488: xx=1.0;
! 489: mnbrak(&ax,&xx,&bx,&fa,&fx,&fb,f1dim);
! 490: *fret=brent(ax,xx,bx,f1dim,TOL,&xmin);
! 491: #ifdef DEBUG
! 492: printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);
! 493: #endif
! 494: for (j=1;j<=n;j++) {
! 495: xi[j] *= xmin;
! 496: p[j] += xi[j];
! 497: }
! 498: free_vector(xicom,1,n);
! 499: free_vector(pcom,1,n);
! 500: }
! 501:
! 502: /*************** powell ************************/
! 503: void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret,
! 504: double (*func)(double []))
! 505: {
! 506: void linmin(double p[], double xi[], int n, double *fret,
! 507: double (*func)(double []));
! 508: int i,ibig,j;
! 509: double del,t,*pt,*ptt,*xit;
! 510: double fp,fptt;
! 511: double *xits;
! 512: pt=vector(1,n);
! 513: ptt=vector(1,n);
! 514: xit=vector(1,n);
! 515: xits=vector(1,n);
! 516: *fret=(*func)(p);
! 517: for (j=1;j<=n;j++) pt[j]=p[j];
! 518: for (*iter=1;;++(*iter)) {
! 519: fp=(*fret);
! 520: ibig=0;
! 521: del=0.0;
! 522: printf("\nPowell iter=%d -2*LL=%.12f",*iter,*fret);
! 523: for (i=1;i<=n;i++)
! 524: printf(" %d %.12f",i, p[i]);
! 525: printf("\n");
! 526: for (i=1;i<=n;i++) {
! 527: for (j=1;j<=n;j++) xit[j]=xi[j][i];
! 528: fptt=(*fret);
! 529: #ifdef DEBUG
! 530: printf("fret=%lf \n",*fret);
! 531: #endif
! 532: printf("%d",i);fflush(stdout);
! 533: linmin(p,xit,n,fret,func);
! 534: if (fabs(fptt-(*fret)) > del) {
! 535: del=fabs(fptt-(*fret));
! 536: ibig=i;
! 537: }
! 538: #ifdef DEBUG
! 539: printf("%d %.12e",i,(*fret));
! 540: for (j=1;j<=n;j++) {
! 541: xits[j]=FMAX(fabs(p[j]-pt[j]),1.e-5);
! 542: printf(" x(%d)=%.12e",j,xit[j]);
! 543: }
! 544: for(j=1;j<=n;j++)
! 545: printf(" p=%.12e",p[j]);
! 546: printf("\n");
! 547: #endif
! 548: }
! 549: if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) {
! 550: #ifdef DEBUG
! 551: int k[2],l;
! 552: k[0]=1;
! 553: k[1]=-1;
! 554: printf("Max: %.12e",(*func)(p));
! 555: for (j=1;j<=n;j++)
! 556: printf(" %.12e",p[j]);
! 557: printf("\n");
! 558: for(l=0;l<=1;l++) {
! 559: for (j=1;j<=n;j++) {
! 560: ptt[j]=p[j]+(p[j]-pt[j])*k[l];
! 561: printf("l=%d j=%d ptt=%.12e, xits=%.12e, p=%.12e, xit=%.12e", l,j,ptt[j],xits[j],p[j],xit[j]);
! 562: }
! 563: printf("func(ptt)=%.12e, deriv=%.12e\n",(*func)(ptt),(ptt[j]-p[j])/((*func)(ptt)-(*func)(p)));
! 564: }
! 565: #endif
! 566:
! 567:
! 568: free_vector(xit,1,n);
! 569: free_vector(xits,1,n);
! 570: free_vector(ptt,1,n);
! 571: free_vector(pt,1,n);
! 572: return;
! 573: }
! 574: if (*iter == ITMAX) nrerror("powell exceeding maximum iterations.");
! 575: for (j=1;j<=n;j++) {
! 576: ptt[j]=2.0*p[j]-pt[j];
! 577: xit[j]=p[j]-pt[j];
! 578: pt[j]=p[j];
! 579: }
! 580: fptt=(*func)(ptt);
! 581: if (fptt < fp) {
! 582: t=2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del)-del*SQR(fp-fptt);
! 583: if (t < 0.0) {
! 584: linmin(p,xit,n,fret,func);
! 585: for (j=1;j<=n;j++) {
! 586: xi[j][ibig]=xi[j][n];
! 587: xi[j][n]=xit[j];
! 588: }
! 589: #ifdef DEBUG
! 590: printf("Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
! 591: for(j=1;j<=n;j++)
! 592: printf(" %.12e",xit[j]);
! 593: printf("\n");
! 594: #endif
! 595: }
! 596: }
! 597: }
! 598: }
! 599:
! 600: /**** Prevalence limit ****************/
! 601:
! 602: double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int ij)
! 603: {
! 604: /* Computes the prevalence limit in each live state at age x by left multiplying the unit
! 605: matrix by transitions matrix until convergence is reached */
! 606:
! 607: int i, ii,j,k;
! 608: double min, max, maxmin, maxmax,sumnew=0.;
! 609: double **matprod2();
! 610: double **out, cov[NCOVMAX], **pmij();
! 611: double **newm;
! 612: double agefin, delaymax=50 ; /* Max number of years to converge */
! 613:
! 614: for (ii=1;ii<=nlstate+ndeath;ii++)
! 615: for (j=1;j<=nlstate+ndeath;j++){
! 616: oldm[ii][j]=(ii==j ? 1.0 : 0.0);
! 617: }
! 618: /* Even if hstepm = 1, at least one multiplication by the unit matrix */
! 619: for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){
! 620: newm=savm;
! 621: /* Covariates have to be included here again */
! 622: cov[1]=1.;
! 623: cov[2]=agefin;
! 624: if (cptcovn>0){
! 625: for (k=1; k<=cptcovn;k++) {cov[2+k]=nbcode[Tvar[k]][codtab[ij][k]];/*printf("Tcode[ij]=%d nbcode=%d\n",Tcode[ij],nbcode[k][Tcode[ij]]);*/}
! 626: }
! 627: out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);
! 628:
! 629: savm=oldm;
! 630: oldm=newm;
! 631: maxmax=0.;
! 632: for(j=1;j<=nlstate;j++){
! 633: min=1.;
! 634: max=0.;
! 635: for(i=1; i<=nlstate; i++) {
! 636: sumnew=0;
! 637: for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];
! 638: prlim[i][j]= newm[i][j]/(1-sumnew);
! 639: max=FMAX(max,prlim[i][j]);
! 640: min=FMIN(min,prlim[i][j]);
! 641: }
! 642: maxmin=max-min;
! 643: maxmax=FMAX(maxmax,maxmin);
! 644: }
! 645: if(maxmax < ftolpl){
! 646: return prlim;
! 647: }
! 648: }
! 649: }
! 650:
! 651: /*************** transition probabilities **********/
! 652:
! 653: double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate )
! 654: {
! 655: double s1, s2;
! 656: /*double t34;*/
! 657: int i,j,j1, nc, ii, jj;
! 658:
! 659: for(i=1; i<= nlstate; i++){
! 660: for(j=1; j<i;j++){
! 661: for (nc=1, s2=0.;nc <=ncovmodel; nc++){
! 662: /*s2 += param[i][j][nc]*cov[nc];*/
! 663: s2 += x[(i-1)*nlstate*ncovmodel+(j-1)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];
! 664: /*printf("Int j<i s1=%.17e, s2=%.17e\n",s1,s2);*/
! 665: }
! 666: ps[i][j]=s2;
! 667: /*printf("s1=%.17e, s2=%.17e\n",s1,s2);*/
! 668: }
! 669: for(j=i+1; j<=nlstate+ndeath;j++){
! 670: for (nc=1, s2=0.;nc <=ncovmodel; nc++){
! 671: s2 += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];
! 672: /*printf("Int j>i s1=%.17e, s2=%.17e %lx %lx\n",s1,s2,s1,s2);*/
! 673: }
! 674: ps[i][j]=s2;
! 675: }
! 676: }
! 677: for(i=1; i<= nlstate; i++){
! 678: s1=0;
! 679: for(j=1; j<i; j++)
! 680: s1+=exp(ps[i][j]);
! 681: for(j=i+1; j<=nlstate+ndeath; j++)
! 682: s1+=exp(ps[i][j]);
! 683: ps[i][i]=1./(s1+1.);
! 684: for(j=1; j<i; j++)
! 685: ps[i][j]= exp(ps[i][j])*ps[i][i];
! 686: for(j=i+1; j<=nlstate+ndeath; j++)
! 687: ps[i][j]= exp(ps[i][j])*ps[i][i];
! 688: /* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */
! 689: } /* end i */
! 690:
! 691: for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){
! 692: for(jj=1; jj<= nlstate+ndeath; jj++){
! 693: ps[ii][jj]=0;
! 694: ps[ii][ii]=1;
! 695: }
! 696: }
! 697:
! 698: /* for(ii=1; ii<= nlstate+ndeath; ii++){
! 699: for(jj=1; jj<= nlstate+ndeath; jj++){
! 700: printf("%lf ",ps[ii][jj]);
! 701: }
! 702: printf("\n ");
! 703: }
! 704: printf("\n ");printf("%lf ",cov[2]);*/
! 705: /*
! 706: for(i=1; i<= npar; i++) printf("%f ",x[i]);
! 707: goto end;*/
! 708: return ps;
! 709: }
! 710:
! 711: /**************** Product of 2 matrices ******************/
! 712:
! 713: double **matprod2(double **out, double **in,long nrl, long nrh, long ncl, long nch, long ncolol, long ncoloh, double **b)
! 714: {
! 715: /* Computes the matric product of in(1,nrh-nrl+1)(1,nch-ncl+1) times
! 716: b(1,nch-ncl+1)(1,ncoloh-ncolol+1) into out(...) */
! 717: /* in, b, out are matrice of pointers which should have been initialized
! 718: before: only the contents of out is modified. The function returns
! 719: a pointer to pointers identical to out */
! 720: long i, j, k;
! 721: for(i=nrl; i<= nrh; i++)
! 722: for(k=ncolol; k<=ncoloh; k++)
! 723: for(j=ncl,out[i][k]=0.; j<=nch; j++)
! 724: out[i][k] +=in[i][j]*b[j][k];
! 725:
! 726: return out;
! 727: }
! 728:
! 729:
! 730: /************* Higher Matrix Product ***************/
! 731:
! 732: double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij )
! 733: {
! 734: /* Computes the transition matrix starting at age 'age' over 'nhstepm*hstepm*stepm' month
! 735: duration (i.e. until
! 736: age (in years) age+nhstepm*stepm/12) by multiplying nhstepm*hstepm matrices.
! 737: Output is stored in matrix po[i][j][h] for h every 'hstepm' step
! 738: (typically every 2 years instead of every month which is too big).
! 739: Model is determined by parameters x and covariates have to be
! 740: included manually here.
! 741:
! 742: */
! 743:
! 744: int i, j, d, h, k;
! 745: double **out, cov[NCOVMAX];
! 746: double **newm;
! 747:
! 748: /* Hstepm could be zero and should return the unit matrix */
! 749: for (i=1;i<=nlstate+ndeath;i++)
! 750: for (j=1;j<=nlstate+ndeath;j++){
! 751: oldm[i][j]=(i==j ? 1.0 : 0.0);
! 752: po[i][j][0]=(i==j ? 1.0 : 0.0);
! 753: }
! 754: /* Even if hstepm = 1, at least one multiplication by the unit matrix */
! 755: for(h=1; h <=nhstepm; h++){
! 756: for(d=1; d <=hstepm; d++){
! 757: newm=savm;
! 758: /* Covariates have to be included here again */
! 759: cov[1]=1.;
! 760: cov[2]=age+((h-1)*hstepm + (d-1))*stepm/YEARM;
! 761: if (cptcovn>0){
! 762: for (k=1; k<=cptcovn;k++) cov[2+k]=nbcode[Tvar[k]][codtab[ij][k]];
! 763: }
! 764: /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/
! 765: /*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/
! 766: out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath,
! 767: pmij(pmmij,cov,ncovmodel,x,nlstate));
! 768: savm=oldm;
! 769: oldm=newm;
! 770: }
! 771: for(i=1; i<=nlstate+ndeath; i++)
! 772: for(j=1;j<=nlstate+ndeath;j++) {
! 773: po[i][j][h]=newm[i][j];
! 774: /*printf("i=%d j=%d h=%d po[i][j][h]=%f ",i,j,h,po[i][j][h]);
! 775: */
! 776: }
! 777: } /* end h */
! 778: return po;
! 779: }
! 780:
! 781:
! 782: /*************** log-likelihood *************/
! 783: double func( double *x)
! 784: {
! 785: int i, ii, j, k, mi, d;
! 786: double l, ll[NLSTATEMAX], cov[NCOVMAX];
! 787: double **out;
! 788: double sw; /* Sum of weights */
! 789: double lli; /* Individual log likelihood */
! 790: long ipmx;
! 791: /*extern weight */
! 792: /* We are differentiating ll according to initial status */
! 793: /* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/
! 794: /*for(i=1;i<imx;i++)
! 795: printf(" %d\n",s[4][i]);
! 796: */
! 797:
! 798: for(k=1; k<=nlstate; k++) ll[k]=0.;
! 799: for (i=1,ipmx=0, sw=0.; i<=imx; i++){
! 800: for(mi=1; mi<= wav[i]-1; mi++){
! 801: for (ii=1;ii<=nlstate+ndeath;ii++)
! 802: for (j=1;j<=nlstate+ndeath;j++) oldm[ii][j]=(ii==j ? 1.0 : 0.0);
! 803: for(d=0; d<dh[mi][i]; d++){
! 804: newm=savm;
! 805: cov[1]=1.;
! 806: cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
! 807: if (cptcovn>0){
! 808: for (k=1; k<=cptcovn;k++) {
! 809: cov[2+k]=covar[Tvar[k]][i];
! 810: /* printf("k=%d cptcovn=%d %lf\n",k,cptcovn,covar[Tvar[k]][i]);*/
! 811: }
! 812: }
! 813: out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
! 814: 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
! 815: savm=oldm;
! 816: oldm=newm;
! 817: } /* end mult */
! 818:
! 819: lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);
! 820: /* printf(" %f ",out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/
! 821: ipmx +=1;
! 822: sw += weight[i];
! 823: ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
! 824: } /* end of wave */
! 825: } /* end of individual */
! 826:
! 827: for(k=1,l=0.; k<=nlstate; k++) l += ll[k];
! 828: /* printf("l1=%f l2=%f ",ll[1],ll[2]); */
! 829: l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */
! 830:
! 831: return -l;
! 832: }
! 833:
! 834:
! 835: /*********** Maximum Likelihood Estimation ***************/
! 836:
! 837: void mlikeli(FILE *ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (*func)(double []))
! 838: {
! 839: int i,j, iter;
! 840: double **xi,*delti;
! 841: double fret;
! 842: xi=matrix(1,npar,1,npar);
! 843: for (i=1;i<=npar;i++)
! 844: for (j=1;j<=npar;j++)
! 845: xi[i][j]=(i==j ? 1.0 : 0.0);
! 846: printf("Powell\n");
! 847: powell(p,xi,npar,ftol,&iter,&fret,func);
! 848:
! 849: printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));
! 850: fprintf(ficres,"#Number of iterations = %d, -2 Log likelihood = %.12f ",iter,func(p));
! 851:
! 852: }
! 853:
! 854: /**** Computes Hessian and covariance matrix ***/
! 855: void hesscov(double **matcov, double p[], int npar, double delti[], double ftolhess, double (*func)(double []))
! 856: {
! 857: double **a,**y,*x,pd;
! 858: double **hess;
! 859: int i, j,jk;
! 860: int *indx;
! 861:
! 862: double hessii(double p[], double delta, int theta, double delti[]);
! 863: double hessij(double p[], double delti[], int i, int j);
! 864: void lubksb(double **a, int npar, int *indx, double b[]) ;
! 865: void ludcmp(double **a, int npar, int *indx, double *d) ;
! 866:
! 867:
! 868: hess=matrix(1,npar,1,npar);
! 869:
! 870: printf("\nCalculation of the hessian matrix. Wait...\n");
! 871: for (i=1;i<=npar;i++){
! 872: printf("%d",i);fflush(stdout);
! 873: hess[i][i]=hessii(p,ftolhess,i,delti);
! 874: /*printf(" %f ",p[i]);*/
! 875: }
! 876:
! 877: for (i=1;i<=npar;i++) {
! 878: for (j=1;j<=npar;j++) {
! 879: if (j>i) {
! 880: printf(".%d%d",i,j);fflush(stdout);
! 881: hess[i][j]=hessij(p,delti,i,j);
! 882: hess[j][i]=hess[i][j];
! 883: }
! 884: }
! 885: }
! 886: printf("\n");
! 887:
! 888: printf("\nInverting the hessian to get the covariance matrix. Wait...\n");
! 889:
! 890: a=matrix(1,npar,1,npar);
! 891: y=matrix(1,npar,1,npar);
! 892: x=vector(1,npar);
! 893: indx=ivector(1,npar);
! 894: for (i=1;i<=npar;i++)
! 895: for (j=1;j<=npar;j++) a[i][j]=hess[i][j];
! 896: ludcmp(a,npar,indx,&pd);
! 897:
! 898: for (j=1;j<=npar;j++) {
! 899: for (i=1;i<=npar;i++) x[i]=0;
! 900: x[j]=1;
! 901: lubksb(a,npar,indx,x);
! 902: for (i=1;i<=npar;i++){
! 903: matcov[i][j]=x[i];
! 904: }
! 905: }
! 906:
! 907: printf("\n#Hessian matrix#\n");
! 908: for (i=1;i<=npar;i++) {
! 909: for (j=1;j<=npar;j++) {
! 910: printf("%.3e ",hess[i][j]);
! 911: }
! 912: printf("\n");
! 913: }
! 914:
! 915: /* Recompute Inverse */
! 916: for (i=1;i<=npar;i++)
! 917: for (j=1;j<=npar;j++) a[i][j]=matcov[i][j];
! 918: ludcmp(a,npar,indx,&pd);
! 919:
! 920: /* printf("\n#Hessian matrix recomputed#\n");
! 921:
! 922: for (j=1;j<=npar;j++) {
! 923: for (i=1;i<=npar;i++) x[i]=0;
! 924: x[j]=1;
! 925: lubksb(a,npar,indx,x);
! 926: for (i=1;i<=npar;i++){
! 927: y[i][j]=x[i];
! 928: printf("%.3e ",y[i][j]);
! 929: }
! 930: printf("\n");
! 931: }
! 932: */
! 933:
! 934: free_matrix(a,1,npar,1,npar);
! 935: free_matrix(y,1,npar,1,npar);
! 936: free_vector(x,1,npar);
! 937: free_ivector(indx,1,npar);
! 938: free_matrix(hess,1,npar,1,npar);
! 939:
! 940:
! 941: }
! 942:
! 943: /*************** hessian matrix ****************/
! 944: double hessii( double x[], double delta, int theta, double delti[])
! 945: {
! 946: int i;
! 947: int l=1, lmax=20;
! 948: double k1,k2;
! 949: double p2[NPARMAX+1];
! 950: double res;
! 951: double delt, delts, nkhi=10.,nkhif=1., khi=1.e-4;
! 952: double fx;
! 953: int k=0,kmax=10;
! 954: double l1;
! 955:
! 956: fx=func(x);
! 957: for (i=1;i<=npar;i++) p2[i]=x[i];
! 958: for(l=0 ; l <=lmax; l++){
! 959: l1=pow(10,l);
! 960: delts=delt;
! 961: for(k=1 ; k <kmax; k=k+1){
! 962: delt = delta*(l1*k);
! 963: p2[theta]=x[theta] +delt;
! 964: k1=func(p2)-fx;
! 965: p2[theta]=x[theta]-delt;
! 966: k2=func(p2)-fx;
! 967: /*res= (k1-2.0*fx+k2)/delt/delt; */
! 968: res= (k1+k2)/delt/delt/2.; /* Divided by because L and not 2*L */
! 969:
! 970: #ifdef DEBUG
! 971: printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
! 972: #endif
! 973: /*if(fabs(k1-2.0*fx+k2) <1.e-13){ */
! 974: if((k1 <khi/nkhi/2.) || (k2 <khi/nkhi/2.)){
! 975: k=kmax;
! 976: }
! 977: else if((k1 >khi/nkhif) || (k2 >khi/nkhif)){ /* Keeps lastvalue before 3.84/2 KHI2 5% 1d.f. */
! 978: k=kmax; l=lmax*10.;
! 979: }
! 980: else if((k1 >khi/nkhi) || (k2 >khi/nkhi)){
! 981: delts=delt;
! 982: }
! 983: }
! 984: }
! 985: delti[theta]=delts;
! 986: return res;
! 987: }
! 988:
! 989: double hessij( double x[], double delti[], int thetai,int thetaj)
! 990: {
! 991: int i;
! 992: int l=1, l1, lmax=20;
! 993: double k1,k2,k3,k4,res,fx;
! 994: double p2[NPARMAX+1];
! 995: int k;
! 996:
! 997: fx=func(x);
! 998: for (k=1; k<=2; k++) {
! 999: for (i=1;i<=npar;i++) p2[i]=x[i];
! 1000: p2[thetai]=x[thetai]+delti[thetai]/k;
! 1001: p2[thetaj]=x[thetaj]+delti[thetaj]/k;
! 1002: k1=func(p2)-fx;
! 1003:
! 1004: p2[thetai]=x[thetai]+delti[thetai]/k;
! 1005: p2[thetaj]=x[thetaj]-delti[thetaj]/k;
! 1006: k2=func(p2)-fx;
! 1007:
! 1008: p2[thetai]=x[thetai]-delti[thetai]/k;
! 1009: p2[thetaj]=x[thetaj]+delti[thetaj]/k;
! 1010: k3=func(p2)-fx;
! 1011:
! 1012: p2[thetai]=x[thetai]-delti[thetai]/k;
! 1013: p2[thetaj]=x[thetaj]-delti[thetaj]/k;
! 1014: k4=func(p2)-fx;
! 1015: res=(k1-k2-k3+k4)/4.0/delti[thetai]*k/delti[thetaj]*k/2.; /* Because of L not 2*L */
! 1016: #ifdef DEBUG
! 1017: 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);
! 1018: #endif
! 1019: }
! 1020: return res;
! 1021: }
! 1022:
! 1023: /************** Inverse of matrix **************/
! 1024: void ludcmp(double **a, int n, int *indx, double *d)
! 1025: {
! 1026: int i,imax,j,k;
! 1027: double big,dum,sum,temp;
! 1028: double *vv;
! 1029:
! 1030: vv=vector(1,n);
! 1031: *d=1.0;
! 1032: for (i=1;i<=n;i++) {
! 1033: big=0.0;
! 1034: for (j=1;j<=n;j++)
! 1035: if ((temp=fabs(a[i][j])) > big) big=temp;
! 1036: if (big == 0.0) nrerror("Singular matrix in routine ludcmp");
! 1037: vv[i]=1.0/big;
! 1038: }
! 1039: for (j=1;j<=n;j++) {
! 1040: for (i=1;i<j;i++) {
! 1041: sum=a[i][j];
! 1042: for (k=1;k<i;k++) sum -= a[i][k]*a[k][j];
! 1043: a[i][j]=sum;
! 1044: }
! 1045: big=0.0;
! 1046: for (i=j;i<=n;i++) {
! 1047: sum=a[i][j];
! 1048: for (k=1;k<j;k++)
! 1049: sum -= a[i][k]*a[k][j];
! 1050: a[i][j]=sum;
! 1051: if ( (dum=vv[i]*fabs(sum)) >= big) {
! 1052: big=dum;
! 1053: imax=i;
! 1054: }
! 1055: }
! 1056: if (j != imax) {
! 1057: for (k=1;k<=n;k++) {
! 1058: dum=a[imax][k];
! 1059: a[imax][k]=a[j][k];
! 1060: a[j][k]=dum;
! 1061: }
! 1062: *d = -(*d);
! 1063: vv[imax]=vv[j];
! 1064: }
! 1065: indx[j]=imax;
! 1066: if (a[j][j] == 0.0) a[j][j]=TINY;
! 1067: if (j != n) {
! 1068: dum=1.0/(a[j][j]);
! 1069: for (i=j+1;i<=n;i++) a[i][j] *= dum;
! 1070: }
! 1071: }
! 1072: free_vector(vv,1,n); /* Doesn't work */
! 1073: ;
! 1074: }
! 1075:
! 1076: void lubksb(double **a, int n, int *indx, double b[])
! 1077: {
! 1078: int i,ii=0,ip,j;
! 1079: double sum;
! 1080:
! 1081: for (i=1;i<=n;i++) {
! 1082: ip=indx[i];
! 1083: sum=b[ip];
! 1084: b[ip]=b[i];
! 1085: if (ii)
! 1086: for (j=ii;j<=i-1;j++) sum -= a[i][j]*b[j];
! 1087: else if (sum) ii=i;
! 1088: b[i]=sum;
! 1089: }
! 1090: for (i=n;i>=1;i--) {
! 1091: sum=b[i];
! 1092: for (j=i+1;j<=n;j++) sum -= a[i][j]*b[j];
! 1093: b[i]=sum/a[i][i];
! 1094: }
! 1095: }
! 1096:
! 1097: /************ Frequencies ********************/
! 1098: void freqsummary(char fileres[], int agemin, int agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax)
! 1099: { /* Some frequencies */
! 1100:
! 1101: int i, m, jk, k1, i1, j1, bool, z1,z2,j;
! 1102: double ***freq; /* Frequencies */
! 1103: double *pp;
! 1104: double pos;
! 1105: FILE *ficresp;
! 1106: char fileresp[FILENAMELENGTH];
! 1107:
! 1108: pp=vector(1,nlstate);
! 1109:
! 1110: strcpy(fileresp,"p");
! 1111: strcat(fileresp,fileres);
! 1112: if((ficresp=fopen(fileresp,"w"))==NULL) {
! 1113: printf("Problem with prevalence resultfile: %s\n", fileresp);
! 1114: exit(0);
! 1115: }
! 1116: freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3);
! 1117: j1=0;
! 1118:
! 1119: j=cptcovn;
! 1120: if (cptcovn<1) {j=1;ncodemax[1]=1;}
! 1121:
! 1122: for(k1=1; k1<=j;k1++){
! 1123: for(i1=1; i1<=ncodemax[k1];i1++){
! 1124: j1++;
! 1125:
! 1126: for (i=-1; i<=nlstate+ndeath; i++)
! 1127: for (jk=-1; jk<=nlstate+ndeath; jk++)
! 1128: for(m=agemin; m <= agemax+3; m++)
! 1129: freq[i][jk][m]=0;
! 1130:
! 1131: for (i=1; i<=imx; i++) {
! 1132: bool=1;
! 1133: if (cptcovn>0) {
! 1134: for (z1=1; z1<=cptcovn; z1++)
! 1135: if (covar[Tvar[z1]][i]!= nbcode[Tvar[z1]][codtab[j1][z1]]) bool=0;
! 1136: }
! 1137: if (bool==1) {
! 1138: for(m=firstpass; m<=lastpass-1; m++){
! 1139: if(agev[m][i]==0) agev[m][i]=agemax+1;
! 1140: if(agev[m][i]==1) agev[m][i]=agemax+2;
! 1141: freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];
! 1142: freq[s[m][i]][s[m+1][i]][(int) agemax+3] += weight[i];
! 1143: }
! 1144: }
! 1145: }
! 1146: if (cptcovn>0) {
! 1147: fprintf(ficresp, "\n#Variable");
! 1148: for (z1=1; z1<=cptcovn; z1++) fprintf(ficresp, " V%d=%d",Tvar[z1],nbcode[Tvar[z1]][codtab[j1][z1]]);
! 1149: }
! 1150: fprintf(ficresp, "\n#");
! 1151: for(i=1; i<=nlstate;i++)
! 1152: fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
! 1153: fprintf(ficresp, "\n");
! 1154:
! 1155: for(i=(int)agemin; i <= (int)agemax+3; i++){
! 1156: if(i==(int)agemax+3)
! 1157: printf("Total");
! 1158: else
! 1159: printf("Age %d", i);
! 1160: for(jk=1; jk <=nlstate ; jk++){
! 1161: for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++)
! 1162: pp[jk] += freq[jk][m][i];
! 1163: }
! 1164: for(jk=1; jk <=nlstate ; jk++){
! 1165: for(m=-1, pos=0; m <=0 ; m++)
! 1166: pos += freq[jk][m][i];
! 1167: if(pp[jk]>=1.e-10)
! 1168: printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
! 1169: else
! 1170: printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);
! 1171: }
! 1172: for(jk=1; jk <=nlstate ; jk++){
! 1173: for(m=1, pp[jk]=0; m <=nlstate+ndeath; m++)
! 1174: pp[jk] += freq[jk][m][i];
! 1175: }
! 1176: for(jk=1,pos=0; jk <=nlstate ; jk++)
! 1177: pos += pp[jk];
! 1178: for(jk=1; jk <=nlstate ; jk++){
! 1179: if(pos>=1.e-5)
! 1180: printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos);
! 1181: else
! 1182: printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
! 1183: if( i <= (int) agemax){
! 1184: if(pos>=1.e-5)
! 1185: fprintf(ficresp," %d %.5f %.0f %.0f",i,pp[jk]/pos, pp[jk],pos);
! 1186: else
! 1187: fprintf(ficresp," %d NaNq %.0f %.0f",i,pp[jk],pos);
! 1188: }
! 1189: }
! 1190: for(jk=-1; jk <=nlstate+ndeath; jk++)
! 1191: for(m=-1; m <=nlstate+ndeath; m++)
! 1192: if(freq[jk][m][i] !=0 ) printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);
! 1193: if(i <= (int) agemax)
! 1194: fprintf(ficresp,"\n");
! 1195: printf("\n");
! 1196: }
! 1197: }
! 1198: }
! 1199:
! 1200: fclose(ficresp);
! 1201: free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3);
! 1202: free_vector(pp,1,nlstate);
! 1203:
! 1204: } /* End of Freq */
! 1205:
! 1206: /************* Waves Concatenation ***************/
! 1207:
! 1208: void concatwav(int wav[], int **dh, int **mw, int **s, double *agedc, double **agev, int firstpass, int lastpass, int imx, int nlstate, int stepm)
! 1209: {
! 1210: /* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i.
! 1211: Death is a valid wave (if date is known).
! 1212: mw[mi][i] is the mi (mi=1 to wav[i]) effective wave of individual i
! 1213: dh[m][i] of dh[mw[mi][i][i] is the delay between two effective waves m=mw[mi][i]
! 1214: and mw[mi+1][i]. dh depends on stepm.
! 1215: */
! 1216:
! 1217: int i, mi, m;
! 1218: int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1;
! 1219: float sum=0.;
! 1220:
! 1221: for(i=1; i<=imx; i++){
! 1222: mi=0;
! 1223: m=firstpass;
! 1224: while(s[m][i] <= nlstate){
! 1225: if(s[m][i]>=1)
! 1226: mw[++mi][i]=m;
! 1227: if(m >=lastpass)
! 1228: break;
! 1229: else
! 1230: m++;
! 1231: }/* end while */
! 1232: if (s[m][i] > nlstate){
! 1233: mi++; /* Death is another wave */
! 1234: /* if(mi==0) never been interviewed correctly before death */
! 1235: /* Only death is a correct wave */
! 1236: mw[mi][i]=m;
! 1237: }
! 1238:
! 1239: wav[i]=mi;
! 1240: if(mi==0)
! 1241: printf("Warning, no any valid information for:%d line=%d\n",num[i],i);
! 1242: }
! 1243:
! 1244: for(i=1; i<=imx; i++){
! 1245: for(mi=1; mi<wav[i];mi++){
! 1246: if (stepm <=0)
! 1247: dh[mi][i]=1;
! 1248: else{
! 1249: if (s[mw[mi+1][i]][i] > nlstate) {
! 1250: j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12);
! 1251: if(j=0) j=1; /* Survives at least one month after exam */
! 1252: }
! 1253: else{
! 1254: j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12));
! 1255: /*printf("i=%d agevi+1=%lf agevi=%lf j=%d\n", i,agev[mw[mi+1][i]][i],agev[mw[mi][i]][i],j);*/
! 1256:
! 1257: k=k+1;
! 1258: if (j >= jmax) jmax=j;
! 1259: else if (j <= jmin)jmin=j;
! 1260: sum=sum+j;
! 1261: }
! 1262: jk= j/stepm;
! 1263: jl= j -jk*stepm;
! 1264: ju= j -(jk+1)*stepm;
! 1265: if(jl <= -ju)
! 1266: dh[mi][i]=jk;
! 1267: else
! 1268: dh[mi][i]=jk+1;
! 1269: if(dh[mi][i]==0)
! 1270: dh[mi][i]=1; /* At least one step */
! 1271: }
! 1272: }
! 1273: }
! 1274: printf("Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,sum/k);
! 1275: }
! 1276: /*********** Tricode ****************************/
! 1277: void tricode(int *Tvar, int **nbcode, int imx)
! 1278: {
! 1279: int Ndum[80],ij, k, j, i;
! 1280: int cptcode=0;
! 1281: for (k=0; k<79; k++) Ndum[k]=0;
! 1282: for (k=1; k<=7; k++) ncodemax[k]=0;
! 1283:
! 1284: for (j=1; j<=cptcovn; j++) {
! 1285: for (i=1; i<=imx; i++) {
! 1286: ij=(int)(covar[Tvar[j]][i]);
! 1287: Ndum[ij]++;
! 1288: if (ij > cptcode) cptcode=ij;
! 1289: }
! 1290: /*printf("cptcode=%d cptcovn=%d ",cptcode,cptcovn);*/
! 1291: for (i=0; i<=cptcode; i++) {
! 1292: if(Ndum[i]!=0) ncodemax[j]++;
! 1293: }
! 1294:
! 1295: ij=1;
! 1296: for (i=1; i<=ncodemax[j]; i++) {
! 1297: for (k=0; k<=79; k++) {
! 1298: if (Ndum[k] != 0) {
! 1299: nbcode[Tvar[j]][ij]=k;
! 1300: ij++;
! 1301: }
! 1302: if (ij > ncodemax[j]) break;
! 1303: }
! 1304: }
! 1305: }
! 1306:
! 1307: }
! 1308:
! 1309: /*********** Health Expectancies ****************/
! 1310:
! 1311: void evsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int ij)
! 1312: {
! 1313: /* Health expectancies */
! 1314: int i, j, nhstepm, hstepm, h;
! 1315: double age, agelim,hf;
! 1316: double ***p3mat;
! 1317:
! 1318: fprintf(ficreseij,"# Health expectancies\n");
! 1319: fprintf(ficreseij,"# Age");
! 1320: for(i=1; i<=nlstate;i++)
! 1321: for(j=1; j<=nlstate;j++)
! 1322: fprintf(ficreseij," %1d-%1d",i,j);
! 1323: fprintf(ficreseij,"\n");
! 1324:
! 1325: hstepm=1*YEARM; /* Every j years of age (in month) */
! 1326: hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */
! 1327:
! 1328: agelim=AGESUP;
! 1329: for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
! 1330: /* nhstepm age range expressed in number of stepm */
! 1331: nhstepm=(int) rint((agelim-age)*YEARM/stepm);
! 1332: /* Typically if 20 years = 20*12/6=40 stepm */
! 1333: if (stepm >= YEARM) hstepm=1;
! 1334: nhstepm = nhstepm/hstepm;/* Expressed in hstepm, typically 40/4=10 */
! 1335: p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
! 1336: /* Computed by stepm unit matrices, product of hstepm matrices, stored
! 1337: in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */
! 1338: hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, ij);
! 1339:
! 1340:
! 1341: for(i=1; i<=nlstate;i++)
! 1342: for(j=1; j<=nlstate;j++)
! 1343: for (h=0, eij[i][j][(int)age]=0; h<=nhstepm; h++){
! 1344: eij[i][j][(int)age] +=p3mat[i][j][h];
! 1345: }
! 1346:
! 1347: hf=1;
! 1348: if (stepm >= YEARM) hf=stepm/YEARM;
! 1349: fprintf(ficreseij,"%.0f",age );
! 1350: for(i=1; i<=nlstate;i++)
! 1351: for(j=1; j<=nlstate;j++){
! 1352: fprintf(ficreseij," %.4f", hf*eij[i][j][(int)age]);
! 1353: }
! 1354: fprintf(ficreseij,"\n");
! 1355: free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
! 1356: }
! 1357: }
! 1358:
! 1359: /************ Variance ******************/
! 1360: void varevsij(char fileres[], 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)
! 1361: {
! 1362: /* Variance of health expectancies */
! 1363: /* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/
! 1364: double **newm;
! 1365: double **dnewm,**doldm;
! 1366: int i, j, nhstepm, hstepm, h;
! 1367: int k, cptcode;
! 1368: double *xp;
! 1369: double **gp, **gm;
! 1370: double ***gradg, ***trgradg;
! 1371: double ***p3mat;
! 1372: double age,agelim;
! 1373: int theta;
! 1374:
! 1375: fprintf(ficresvij,"# Covariances of life expectancies\n");
! 1376: fprintf(ficresvij,"# Age");
! 1377: for(i=1; i<=nlstate;i++)
! 1378: for(j=1; j<=nlstate;j++)
! 1379: fprintf(ficresvij," Cov(e%1d, e%1d)",i,j);
! 1380: fprintf(ficresvij,"\n");
! 1381:
! 1382: xp=vector(1,npar);
! 1383: dnewm=matrix(1,nlstate,1,npar);
! 1384: doldm=matrix(1,nlstate,1,nlstate);
! 1385:
! 1386: hstepm=1*YEARM; /* Every year of age */
! 1387: hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */
! 1388: agelim = AGESUP;
! 1389: for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
! 1390: nhstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */
! 1391: if (stepm >= YEARM) hstepm=1;
! 1392: nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
! 1393: p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
! 1394: gradg=ma3x(0,nhstepm,1,npar,1,nlstate);
! 1395: gp=matrix(0,nhstepm,1,nlstate);
! 1396: gm=matrix(0,nhstepm,1,nlstate);
! 1397:
! 1398: for(theta=1; theta <=npar; theta++){
! 1399: for(i=1; i<=npar; i++){ /* Computes gradient */
! 1400: xp[i] = x[i] + (i==theta ?delti[theta]:0);
! 1401: }
! 1402: hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
! 1403: prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
! 1404: for(j=1; j<= nlstate; j++){
! 1405: for(h=0; h<=nhstepm; h++){
! 1406: for(i=1, gp[h][j]=0.;i<=nlstate;i++)
! 1407: gp[h][j] += prlim[i][i]*p3mat[i][j][h];
! 1408: }
! 1409: }
! 1410:
! 1411: for(i=1; i<=npar; i++) /* Computes gradient */
! 1412: xp[i] = x[i] - (i==theta ?delti[theta]:0);
! 1413: hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
! 1414: prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
! 1415: for(j=1; j<= nlstate; j++){
! 1416: for(h=0; h<=nhstepm; h++){
! 1417: for(i=1, gm[h][j]=0.;i<=nlstate;i++)
! 1418: gm[h][j] += prlim[i][i]*p3mat[i][j][h];
! 1419: }
! 1420: }
! 1421: for(j=1; j<= nlstate; j++)
! 1422: for(h=0; h<=nhstepm; h++){
! 1423: gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
! 1424: }
! 1425: } /* End theta */
! 1426:
! 1427: trgradg =ma3x(0,nhstepm,1,nlstate,1,npar);
! 1428:
! 1429: for(h=0; h<=nhstepm; h++)
! 1430: for(j=1; j<=nlstate;j++)
! 1431: for(theta=1; theta <=npar; theta++)
! 1432: trgradg[h][j][theta]=gradg[h][theta][j];
! 1433:
! 1434: for(i=1;i<=nlstate;i++)
! 1435: for(j=1;j<=nlstate;j++)
! 1436: vareij[i][j][(int)age] =0.;
! 1437: for(h=0;h<=nhstepm;h++){
! 1438: for(k=0;k<=nhstepm;k++){
! 1439: matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov);
! 1440: matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg[k]);
! 1441: for(i=1;i<=nlstate;i++)
! 1442: for(j=1;j<=nlstate;j++)
! 1443: vareij[i][j][(int)age] += doldm[i][j];
! 1444: }
! 1445: }
! 1446: h=1;
! 1447: if (stepm >= YEARM) h=stepm/YEARM;
! 1448: fprintf(ficresvij,"%.0f ",age );
! 1449: for(i=1; i<=nlstate;i++)
! 1450: for(j=1; j<=nlstate;j++){
! 1451: fprintf(ficresvij," %.4f", h*vareij[i][j][(int)age]);
! 1452: }
! 1453: fprintf(ficresvij,"\n");
! 1454: free_matrix(gp,0,nhstepm,1,nlstate);
! 1455: free_matrix(gm,0,nhstepm,1,nlstate);
! 1456: free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate);
! 1457: free_ma3x(trgradg,0,nhstepm,1,nlstate,1,npar);
! 1458: free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
! 1459: } /* End age */
! 1460:
! 1461: free_vector(xp,1,npar);
! 1462: free_matrix(doldm,1,nlstate,1,npar);
! 1463: free_matrix(dnewm,1,nlstate,1,nlstate);
! 1464:
! 1465: }
! 1466:
! 1467: /************ Variance of prevlim ******************/
! 1468: 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)
! 1469: {
! 1470: /* Variance of prevalence limit */
! 1471: /* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/
! 1472: double **newm;
! 1473: double **dnewm,**doldm;
! 1474: int i, j, nhstepm, hstepm;
! 1475: int k, cptcode;
! 1476: double *xp;
! 1477: double *gp, *gm;
! 1478: double **gradg, **trgradg;
! 1479: double age,agelim;
! 1480: int theta;
! 1481:
! 1482: fprintf(ficresvpl,"# Standard deviation of prevalences limit\n");
! 1483: fprintf(ficresvpl,"# Age");
! 1484: for(i=1; i<=nlstate;i++)
! 1485: fprintf(ficresvpl," %1d-%1d",i,i);
! 1486: fprintf(ficresvpl,"\n");
! 1487:
! 1488: xp=vector(1,npar);
! 1489: dnewm=matrix(1,nlstate,1,npar);
! 1490: doldm=matrix(1,nlstate,1,nlstate);
! 1491:
! 1492: hstepm=1*YEARM; /* Every year of age */
! 1493: hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */
! 1494: agelim = AGESUP;
! 1495: for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
! 1496: nhstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */
! 1497: if (stepm >= YEARM) hstepm=1;
! 1498: nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
! 1499: gradg=matrix(1,npar,1,nlstate);
! 1500: gp=vector(1,nlstate);
! 1501: gm=vector(1,nlstate);
! 1502:
! 1503: for(theta=1; theta <=npar; theta++){
! 1504: for(i=1; i<=npar; i++){ /* Computes gradient */
! 1505: xp[i] = x[i] + (i==theta ?delti[theta]:0);
! 1506: }
! 1507: prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
! 1508: for(i=1;i<=nlstate;i++)
! 1509: gp[i] = prlim[i][i];
! 1510:
! 1511: for(i=1; i<=npar; i++) /* Computes gradient */
! 1512: xp[i] = x[i] - (i==theta ?delti[theta]:0);
! 1513: prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
! 1514: for(i=1;i<=nlstate;i++)
! 1515: gm[i] = prlim[i][i];
! 1516:
! 1517: for(i=1;i<=nlstate;i++)
! 1518: gradg[theta][i]= (gp[i]-gm[i])/2./delti[theta];
! 1519: } /* End theta */
! 1520:
! 1521: trgradg =matrix(1,nlstate,1,npar);
! 1522:
! 1523: for(j=1; j<=nlstate;j++)
! 1524: for(theta=1; theta <=npar; theta++)
! 1525: trgradg[j][theta]=gradg[theta][j];
! 1526:
! 1527: for(i=1;i<=nlstate;i++)
! 1528: varpl[i][(int)age] =0.;
! 1529: matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov);
! 1530: matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);
! 1531: for(i=1;i<=nlstate;i++)
! 1532: varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */
! 1533:
! 1534: fprintf(ficresvpl,"%.0f ",age );
! 1535: for(i=1; i<=nlstate;i++)
! 1536: fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age]));
! 1537: fprintf(ficresvpl,"\n");
! 1538: free_vector(gp,1,nlstate);
! 1539: free_vector(gm,1,nlstate);
! 1540: free_matrix(gradg,1,npar,1,nlstate);
! 1541: free_matrix(trgradg,1,nlstate,1,npar);
! 1542: } /* End age */
! 1543:
! 1544: free_vector(xp,1,npar);
! 1545: free_matrix(doldm,1,nlstate,1,npar);
! 1546: free_matrix(dnewm,1,nlstate,1,nlstate);
! 1547:
! 1548: }
! 1549:
! 1550:
! 1551:
! 1552: /***********************************************/
! 1553: /**************** Main Program *****************/
! 1554: /***********************************************/
! 1555:
! 1556: /*int main(int argc, char *argv[])*/
! 1557: int main()
! 1558: {
! 1559:
! 1560: int i,j, k, n=MAXN,iter,m,size,cptcode, aaa, cptcod;
! 1561: double agedeb, agefin,hf;
! 1562: double agemin=1.e20, agemax=-1.e20;
! 1563:
! 1564: double fret;
! 1565: double **xi,tmp,delta;
! 1566:
! 1567: double dum; /* Dummy variable */
! 1568: double ***p3mat;
! 1569: int *indx;
! 1570: char line[MAXLINE], linepar[MAXLINE];
! 1571: char title[MAXLINE];
! 1572: char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH], filerespl[FILENAMELENGTH];
! 1573: char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH];
! 1574: char filerest[FILENAMELENGTH];
! 1575: char fileregp[FILENAMELENGTH];
! 1576: char path[80],pathc[80],pathcd[80],pathtot[80],model[20];
! 1577: int firstobs=1, lastobs=10;
! 1578: int sdeb, sfin; /* Status at beginning and end */
! 1579: int c, h , cpt,l;
! 1580: int ju,jl, mi;
! 1581: int i1,j1, k1,jk,aa,bb, stepsize;
! 1582: int jnais,jdc,jint4,jint1,jint2,jint3,**outcome,**adl,*tab;
! 1583:
! 1584: int hstepm, nhstepm;
! 1585: double bage, fage, age, agelim, agebase;
! 1586: double ftolpl=FTOL;
! 1587: double **prlim;
! 1588: double *severity;
! 1589: double ***param; /* Matrix of parameters */
! 1590: double *p;
! 1591: double **matcov; /* Matrix of covariance */
! 1592: double ***delti3; /* Scale */
! 1593: double *delti; /* Scale */
! 1594: double ***eij, ***vareij;
! 1595: double **varpl; /* Variances of prevalence limits by age */
! 1596: double *epj, vepp;
! 1597: char version[80]="Imach version 62c, May 1999, INED-EUROREVES ";
! 1598: char *alph[]={"a","a","b","c","d","e"}, str[4];
! 1599: char z[1]="c", occ;
! 1600: #include <sys/time.h>
! 1601: #include <time.h>
! 1602: char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];
! 1603: /* long total_usecs;
! 1604: struct timeval start_time, end_time;
! 1605:
! 1606: gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */
! 1607:
! 1608:
! 1609: printf("\nIMACH, Version 0.63");
! 1610: printf("\nEnter the parameter file name: ");
! 1611:
! 1612: #ifdef windows
! 1613: scanf("%s",pathtot);
! 1614: getcwd(pathcd, size);
! 1615: cutv(path,optionfile,pathtot,'\\');
! 1616: chdir(path);
! 1617: replace(pathc,path);
! 1618: #endif
! 1619: #ifdef unix
! 1620: scanf("%s",optionfile);
! 1621: #endif
! 1622:
! 1623: /*-------- arguments in the command line --------*/
! 1624:
! 1625: strcpy(fileres,"r");
! 1626: strcat(fileres, optionfile);
! 1627:
! 1628: /*---------arguments file --------*/
! 1629:
! 1630: if((ficpar=fopen(optionfile,"r"))==NULL) {
! 1631: printf("Problem with optionfile %s\n",optionfile);
! 1632: goto end;
! 1633: }
! 1634:
! 1635: strcpy(filereso,"o");
! 1636: strcat(filereso,fileres);
! 1637: if((ficparo=fopen(filereso,"w"))==NULL) {
! 1638: printf("Problem with Output resultfile: %s\n", filereso);goto end;
! 1639: }
! 1640:
! 1641: /* Reads comments: lines beginning with '#' */
! 1642: while((c=getc(ficpar))=='#' && c!= EOF){
! 1643: ungetc(c,ficpar);
! 1644: fgets(line, MAXLINE, ficpar);
! 1645: puts(line);
! 1646: fputs(line,ficparo);
! 1647: }
! 1648: ungetc(c,ficpar);
! 1649:
! 1650: fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncov, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);
! 1651: printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncov, nlstate,ndeath, maxwav, mle, weightopt,model);
! 1652: fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncov,nlstate,ndeath,maxwav, mle, weightopt,model);
! 1653:
! 1654: covar=matrix(1,NCOVMAX,1,n);
! 1655: if (strlen(model)<=1) cptcovn=0;
! 1656: else {
! 1657: j=0;
! 1658: j=nbocc(model,'+');
! 1659: cptcovn=j+1;
! 1660: }
! 1661:
! 1662: ncovmodel=2+cptcovn;
! 1663: nvar=ncovmodel-1; /* Suppressing age as a basic covariate */
! 1664:
! 1665: /* Read guess parameters */
! 1666: /* Reads comments: lines beginning with '#' */
! 1667: while((c=getc(ficpar))=='#' && c!= EOF){
! 1668: ungetc(c,ficpar);
! 1669: fgets(line, MAXLINE, ficpar);
! 1670: puts(line);
! 1671: fputs(line,ficparo);
! 1672: }
! 1673: ungetc(c,ficpar);
! 1674:
! 1675: param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
! 1676: for(i=1; i <=nlstate; i++)
! 1677: for(j=1; j <=nlstate+ndeath-1; j++){
! 1678: fscanf(ficpar,"%1d%1d",&i1,&j1);
! 1679: fprintf(ficparo,"%1d%1d",i1,j1);
! 1680: printf("%1d%1d",i,j);
! 1681: for(k=1; k<=ncovmodel;k++){
! 1682: fscanf(ficpar," %lf",¶m[i][j][k]);
! 1683: printf(" %lf",param[i][j][k]);
! 1684: fprintf(ficparo," %lf",param[i][j][k]);
! 1685: }
! 1686: fscanf(ficpar,"\n");
! 1687: printf("\n");
! 1688: fprintf(ficparo,"\n");
! 1689: }
! 1690:
! 1691: npar= (nlstate+ndeath-1)*nlstate*ncovmodel;
! 1692: p=param[1][1];
! 1693:
! 1694: /* Reads comments: lines beginning with '#' */
! 1695: while((c=getc(ficpar))=='#' && c!= EOF){
! 1696: ungetc(c,ficpar);
! 1697: fgets(line, MAXLINE, ficpar);
! 1698: puts(line);
! 1699: fputs(line,ficparo);
! 1700: }
! 1701: ungetc(c,ficpar);
! 1702:
! 1703: delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
! 1704: delti=vector(1,npar); /* Scale of each paramater (output from hesscov) */
! 1705: for(i=1; i <=nlstate; i++){
! 1706: for(j=1; j <=nlstate+ndeath-1; j++){
! 1707: fscanf(ficpar,"%1d%1d",&i1,&j1);
! 1708: printf("%1d%1d",i,j);
! 1709: fprintf(ficparo,"%1d%1d",i1,j1);
! 1710: for(k=1; k<=ncovmodel;k++){
! 1711: fscanf(ficpar,"%le",&delti3[i][j][k]);
! 1712: printf(" %le",delti3[i][j][k]);
! 1713: fprintf(ficparo," %le",delti3[i][j][k]);
! 1714: }
! 1715: fscanf(ficpar,"\n");
! 1716: printf("\n");
! 1717: fprintf(ficparo,"\n");
! 1718: }
! 1719: }
! 1720: delti=delti3[1][1];
! 1721:
! 1722: /* Reads comments: lines beginning with '#' */
! 1723: while((c=getc(ficpar))=='#' && c!= EOF){
! 1724: ungetc(c,ficpar);
! 1725: fgets(line, MAXLINE, ficpar);
! 1726: puts(line);
! 1727: fputs(line,ficparo);
! 1728: }
! 1729: ungetc(c,ficpar);
! 1730:
! 1731: matcov=matrix(1,npar,1,npar);
! 1732: for(i=1; i <=npar; i++){
! 1733: fscanf(ficpar,"%s",&str);
! 1734: printf("%s",str);
! 1735: fprintf(ficparo,"%s",str);
! 1736: for(j=1; j <=i; j++){
! 1737: fscanf(ficpar," %le",&matcov[i][j]);
! 1738: printf(" %.5le",matcov[i][j]);
! 1739: fprintf(ficparo," %.5le",matcov[i][j]);
! 1740: }
! 1741: fscanf(ficpar,"\n");
! 1742: printf("\n");
! 1743: fprintf(ficparo,"\n");
! 1744: }
! 1745: for(i=1; i <=npar; i++)
! 1746: for(j=i+1;j<=npar;j++)
! 1747: matcov[i][j]=matcov[j][i];
! 1748:
! 1749: printf("\n");
! 1750:
! 1751:
! 1752: if(mle==1){
! 1753: /*-------- data file ----------*/
! 1754: if((ficres =fopen(fileres,"w"))==NULL) {
! 1755: printf("Problem with resultfile: %s\n", fileres);goto end;
! 1756: }
! 1757: fprintf(ficres,"#%s\n",version);
! 1758:
! 1759: if((fic=fopen(datafile,"r"))==NULL) {
! 1760: printf("Problem with datafile: %s\n", datafile);goto end;
! 1761: }
! 1762:
! 1763: n= lastobs;
! 1764: severity = vector(1,maxwav);
! 1765: outcome=imatrix(1,maxwav+1,1,n);
! 1766: num=ivector(1,n);
! 1767: moisnais=vector(1,n);
! 1768: annais=vector(1,n);
! 1769: moisdc=vector(1,n);
! 1770: andc=vector(1,n);
! 1771: agedc=vector(1,n);
! 1772: cod=ivector(1,n);
! 1773: weight=vector(1,n);
! 1774: for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */
! 1775: mint=matrix(1,maxwav,1,n);
! 1776: anint=matrix(1,maxwav,1,n);
! 1777: s=imatrix(1,maxwav+1,1,n);
! 1778: adl=imatrix(1,maxwav+1,1,n);
! 1779: tab=ivector(1,NCOVMAX);
! 1780: ncodemax=ivector(1,NCOVMAX);
! 1781:
! 1782: i=1;
! 1783: while (fgets(line, MAXLINE, fic) != NULL) {
! 1784: if ((i >= firstobs) && (i <=lastobs)) {
! 1785:
! 1786: for (j=maxwav;j>=1;j--){
! 1787: cutv(stra, strb,line,' '); s[j][i]=atoi(strb);
! 1788: strcpy(line,stra);
! 1789: cutv(stra, strb,line,'/'); anint[j][i]=(double)(atoi(strb)); strcpy(line,stra);
! 1790: cutv(stra, strb,line,' '); mint[j][i]=(double)(atoi(strb)); strcpy(line,stra);
! 1791: }
! 1792:
! 1793: cutv(stra, strb,line,'/'); andc[i]=(double)(atoi(strb)); strcpy(line,stra);
! 1794: cutv(stra, strb,line,' '); moisdc[i]=(double)(atoi(strb)); strcpy(line,stra);
! 1795:
! 1796: cutv(stra, strb,line,'/'); annais[i]=(double)(atoi(strb)); strcpy(line,stra);
! 1797: cutv(stra, strb,line,' '); moisnais[i]=(double)(atoi(strb)); strcpy(line,stra);
! 1798:
! 1799: cutv(stra, strb,line,' '); weight[i]=(double)(atoi(strb)); strcpy(line,stra);
! 1800: for (j=ncov;j>=1;j--){
! 1801: cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra);
! 1802: }
! 1803: num[i]=atol(stra);
! 1804:
! 1805: /* printf("%d %.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]));*/
! 1806:
! 1807: /*printf("%d %.lf %.lf %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]),(covar[3][i]), (covar[4][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]));*/
! 1808:
! 1809: i=i+1;
! 1810: }
! 1811: }
! 1812: /*scanf("%d",i);*/
! 1813:
! 1814: imx=i-1; /* Number of individuals */
! 1815:
! 1816: /* Calculation of the number of parameter from char model*/
! 1817: Tvar=ivector(1,8);
! 1818:
! 1819: if (strlen(model) >1){
! 1820: j=0;
! 1821: j=nbocc(model,'+');
! 1822: cptcovn=j+1;
! 1823:
! 1824: strcpy(modelsav,model);
! 1825: if (j==0) {
! 1826: cutv(stra,strb,modelsav,'V'); Tvar[1]=atoi(strb);
! 1827: }
! 1828: else {
! 1829: for(i=j; i>=1;i--){
! 1830: cutv(stra,strb,modelsav,'+');
! 1831: if (strchr(strb,'*')) {
! 1832: cutv(strd,strc,strb,'*');
! 1833: cutv(strb,stre,strc,'V');Tvar[i+1]=ncov+1;
! 1834: cutv(strb,strc,strd,'V');
! 1835: for (k=1; k<=lastobs;k++)
! 1836: covar[ncov+1][k]=covar[atoi(stre)][k]*covar[atoi(strc)][k];
! 1837: }
! 1838: else {
! 1839: cutv(strd,strc,strb,'V');
! 1840: Tvar[i+1]=atoi(strc);
! 1841: }
! 1842: strcpy(modelsav,stra);
! 1843: }
! 1844: /*cutv(strd,strc,stra,'V');*/
! 1845: Tvar[1]=atoi(strc);
! 1846: }
! 1847: }
! 1848: /*printf("tvar=%d ",Tvar[1]);*/
! 1849: /*scanf("%d ",i);*/
! 1850: fclose(fic);
! 1851:
! 1852: if (weightopt != 1) { /* Maximisation without weights*/
! 1853: for(i=1;i<=n;i++) weight[i]=1.0;
! 1854: }
! 1855: /*-calculation of age at interview from date of interview and age at death -*/
! 1856: agev=matrix(1,maxwav,1,imx);
! 1857:
! 1858: for (i=1; i<=imx; i++) {
! 1859: agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);
! 1860: for(m=1; (m<= maxwav); m++){
! 1861: if (mint[m][i]==99 || anint[m][i]==9999) s[m][i]=-1;
! 1862: if(s[m][i] >0){
! 1863: if (s[m][i] == nlstate+1) {
! 1864: if(agedc[i]>0)
! 1865: if(moisdc[i]!=99 && andc[i]!=9999)
! 1866: agev[m][i]=agedc[i];
! 1867: else{
! 1868: printf("Warning negative age at death: %d line:%d\n",num[i],i);
! 1869: agev[m][i]=-1;
! 1870: }
! 1871: }
! 1872: else if(s[m][i] !=9){ /* Should no more exist */
! 1873: agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);
! 1874: if(mint[m][i]==99 || anint[m][i]==9999){
! 1875: agev[m][i]=1;
! 1876: /* printf("i=%d m=%d agev=%lf \n",i,m, agev[m][i]); */
! 1877: }
! 1878: else if(agev[m][i] <agemin){
! 1879: agemin=agev[m][i];
! 1880: /*printf(" Min anint[%d][%d]=%.2f annais[%d]=%.2f, agemin=%.2f\n",m,i,anint[m][i], i,annais[i], agemin);*/
! 1881: }
! 1882: else if(agev[m][i] >agemax){
! 1883: agemax=agev[m][i];
! 1884: /* printf(" anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.0f\n",m,i,anint[m][i], i,annais[i], agemax);*/
! 1885: }
! 1886: /*agev[m][i]=anint[m][i]-annais[i];*/
! 1887: /* agev[m][i] = age[i]+2*m;*/
! 1888: }
! 1889: else { /* =9 */
! 1890: agev[m][i]=1;
! 1891: s[m][i]=-1;
! 1892: }
! 1893: }
! 1894: else /*= 0 Unknown */
! 1895: agev[m][i]=1;
! 1896: }
! 1897:
! 1898: }
! 1899: for (i=1; i<=imx; i++) {
! 1900: for(m=1; (m<= maxwav); m++){
! 1901: if (s[m][i] > (nlstate+ndeath)) {
! 1902: printf("Error: Wrong value in nlstate or ndeath\n");
! 1903: goto end;
! 1904: }
! 1905: }
! 1906: }
! 1907:
! 1908: printf("Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);
! 1909:
! 1910: free_vector(severity,1,maxwav);
! 1911: free_imatrix(outcome,1,maxwav+1,1,n);
! 1912: free_vector(moisnais,1,n);
! 1913: free_vector(annais,1,n);
! 1914: free_matrix(mint,1,maxwav,1,n);
! 1915: free_matrix(anint,1,maxwav,1,n);
! 1916: free_vector(moisdc,1,n);
! 1917: free_vector(andc,1,n);
! 1918:
! 1919:
! 1920: wav=ivector(1,imx);
! 1921: dh=imatrix(1,lastpass-firstpass+1,1,imx);
! 1922: mw=imatrix(1,lastpass-firstpass+1,1,imx);
! 1923:
! 1924: /* Concatenates waves */
! 1925: concatwav(wav, dh, mw, s, agedc, agev, firstpass, lastpass, imx, nlstate, stepm);
! 1926:
! 1927:
! 1928: Tcode=ivector(1,100);
! 1929: nbcode=imatrix(1,nvar,1,8);
! 1930: ncodemax[1]=1;
! 1931: if (cptcovn > 0) tricode(Tvar,nbcode,imx);
! 1932:
! 1933: codtab=imatrix(1,100,1,10);
! 1934: h=0;
! 1935: m=pow(2,cptcovn);
! 1936:
! 1937: for(k=1;k<=cptcovn; k++){
! 1938: for(i=1; i <=(m/pow(2,k));i++){
! 1939: for(j=1; j <= ncodemax[k]; j++){
! 1940: for(cpt=1; cpt <=(m/pow(2,cptcovn+1-k)); cpt++){
! 1941: h++;
! 1942: if (h>m) h=1;codtab[h][k]=j;
! 1943: }
! 1944: }
! 1945: }
! 1946: }
! 1947:
! 1948: /*for(i=1; i <=m ;i++){
! 1949: for(k=1; k <=cptcovn; k++){
! 1950: printf("i=%d k=%d %d ",i,k,codtab[i][k]);
! 1951: }
! 1952: printf("\n");
! 1953: }
! 1954: scanf("%d",i);*/
! 1955:
! 1956: /* Calculates basic frequencies. Computes observed prevalence at single age
! 1957: and prints on file fileres'p'. */
! 1958: freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax);
! 1959:
! 1960: pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
! 1961: oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
! 1962: newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
! 1963: savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
! 1964: oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */
! 1965:
! 1966: /* For Powell, parameters are in a vector p[] starting at p[1]
! 1967: so we point p on param[1][1] so that p[1] maps on param[1][1][1] */
! 1968: p=param[1][1]; /* *(*(*(param +1)+1)+0) */
! 1969: /*scanf("%d",i);*/
! 1970: mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);
! 1971:
! 1972:
! 1973: /*--------- results files --------------*/
! 1974: fprintf(ficres,"\ntitle=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncov, nlstate, ndeath, maxwav, mle,weightopt,model);
! 1975:
! 1976: jk=1;
! 1977: fprintf(ficres,"# Parameters\n");
! 1978: printf("# Parameters\n");
! 1979: for(i=1,jk=1; i <=nlstate; i++){
! 1980: for(k=1; k <=(nlstate+ndeath); k++){
! 1981: if (k != i)
! 1982: {
! 1983: printf("%d%d ",i,k);
! 1984: fprintf(ficres,"%1d%1d ",i,k);
! 1985: for(j=1; j <=ncovmodel; j++){
! 1986: printf("%f ",p[jk]);
! 1987: fprintf(ficres,"%f ",p[jk]);
! 1988: jk++;
! 1989: }
! 1990: printf("\n");
! 1991: fprintf(ficres,"\n");
! 1992: }
! 1993: }
! 1994: }
! 1995:
! 1996: /* Computing hessian and covariance matrix */
! 1997: ftolhess=ftol; /* Usually correct */
! 1998: hesscov(matcov, p, npar, delti, ftolhess, func);
! 1999: fprintf(ficres,"# Scales\n");
! 2000: printf("# Scales\n");
! 2001: for(i=1,jk=1; i <=nlstate; i++){
! 2002: for(j=1; j <=nlstate+ndeath; j++){
! 2003: if (j!=i) {
! 2004: fprintf(ficres,"%1d%1d",i,j);
! 2005: printf("%1d%1d",i,j);
! 2006: for(k=1; k<=ncovmodel;k++){
! 2007: printf(" %.5e",delti[jk]);
! 2008: fprintf(ficres," %.5e",delti[jk]);
! 2009: jk++;
! 2010: }
! 2011: printf("\n");
! 2012: fprintf(ficres,"\n");
! 2013: }
! 2014: }
! 2015: }
! 2016:
! 2017: k=1;
! 2018: fprintf(ficres,"# Covariance\n");
! 2019: printf("# Covariance\n");
! 2020: for(i=1;i<=npar;i++){
! 2021: /* if (k>nlstate) k=1;
! 2022: i1=(i-1)/(ncovmodel*nlstate)+1;
! 2023: fprintf(ficres,"%s%d%d",alph[k],i1,tab[i]);
! 2024: printf("%s%d%d",alph[k],i1,tab[i]);*/
! 2025: fprintf(ficres,"%3d",i);
! 2026: printf("%3d",i);
! 2027: for(j=1; j<=i;j++){
! 2028: fprintf(ficres," %.5e",matcov[i][j]);
! 2029: printf(" %.5e",matcov[i][j]);
! 2030: }
! 2031: fprintf(ficres,"\n");
! 2032: printf("\n");
! 2033: k++;
! 2034: }
! 2035:
! 2036: while((c=getc(ficpar))=='#' && c!= EOF){
! 2037: ungetc(c,ficpar);
! 2038: fgets(line, MAXLINE, ficpar);
! 2039: puts(line);
! 2040: fputs(line,ficparo);
! 2041: }
! 2042: ungetc(c,ficpar);
! 2043:
! 2044: fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf\n",&agemin,&agemax, &bage, &fage);
! 2045:
! 2046: if (fage <= 2) {
! 2047: bage = agemin;
! 2048: fage = agemax;
! 2049: }
! 2050:
! 2051: fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");
! 2052: fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",agemin,agemax,bage,fage);
! 2053: /*------------ gnuplot -------------*/
! 2054: chdir(pathcd);
! 2055: if((ficgp=fopen("graph.plt","w"))==NULL) {
! 2056: printf("Problem with file graph.gp");goto end;
! 2057: }
! 2058: #ifdef windows
! 2059: fprintf(ficgp,"cd \"%s\" \n",pathc);
! 2060: #endif
! 2061: m=pow(2,cptcovn);
! 2062:
! 2063: /* 1eme*/
! 2064: for (cpt=1; cpt<= nlstate ; cpt ++) {
! 2065: for (k1=1; k1<= m ; k1 ++) {
! 2066:
! 2067: #ifdef windows
! 2068: fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter gif small size 400,300\nplot [%.f:%.f] \"vpl%s\" every :::%d::%d u 1:2 \"\%%lf",agemin,fage,fileres,k1-1,k1-1);
! 2069: #endif
! 2070: #ifdef unix
! 2071: fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nplot [%.f:%.f] \"vpl%s\" u 1:2 \"\%%lf",agemin,fage,fileres);
! 2072: #endif
! 2073:
! 2074: for (i=1; i<= nlstate ; i ++) {
! 2075: if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
! 2076: else fprintf(ficgp," \%%*lf (\%%*lf)");
! 2077: }
! 2078: fprintf(ficgp,"\" t\"Stationary prevalence\" w l 0,\"vpl%s\" every :::%d::%d u 1:($2+2*$3) \"\%%lf",fileres,k1-1,k1-1);
! 2079: for (i=1; i<= nlstate ; i ++) {
! 2080: if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
! 2081: else fprintf(ficgp," \%%*lf (\%%*lf)");
! 2082: }
! 2083: fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"vpl%s\" every :::%d::%d u 1:($2-2*$3) \"\%%lf",fileres,k1-1,k1-1);
! 2084: for (i=1; i<= nlstate ; i ++) {
! 2085: if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
! 2086: else fprintf(ficgp," \%%*lf (\%%*lf)");
! 2087: }
! 2088: fprintf(ficgp,"\" t\"\" w l 1,\"p%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",fileres,k1-1,k1-1,2+4*(cpt-1));
! 2089: #ifdef unix
! 2090: fprintf(ficgp,"\nset ter gif small size 400,300");
! 2091: #endif
! 2092: fprintf(ficgp,"\nset out \"v%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);
! 2093: }
! 2094: }
! 2095: /*2 eme*/
! 2096:
! 2097: for (k1=1; k1<= m ; k1 ++) {
! 2098: fprintf(ficgp,"set ylabel \"Years\" \nset ter gif small size 400,300\nplot [%.f:%.f] ",agemin,fage);
! 2099:
! 2100: for (i=1; i<= nlstate+1 ; i ++) {
! 2101: k=2*i;
! 2102: fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:2 \"\%%lf",fileres,k1-1,k1-1);
! 2103: for (j=1; j<= nlstate+1 ; j ++) {
! 2104: if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
! 2105: else fprintf(ficgp," \%%*lf (\%%*lf)");
! 2106: }
! 2107: if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");
! 2108: else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);
! 2109: fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2-$3*2) \"\%%lf",fileres,k1-1,k1-1);
! 2110: for (j=1; j<= nlstate+1 ; j ++) {
! 2111: if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
! 2112: else fprintf(ficgp," \%%*lf (\%%*lf)");
! 2113: }
! 2114: fprintf(ficgp,"\" t\"\" w l 0,");
! 2115: fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",fileres,k1-1,k1-1);
! 2116: for (j=1; j<= nlstate+1 ; j ++) {
! 2117: if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
! 2118: else fprintf(ficgp," \%%*lf (\%%*lf)");
! 2119: }
! 2120: if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l 0");
! 2121: else fprintf(ficgp,"\" t\"\" w l 0,");
! 2122: }
! 2123: fprintf(ficgp,"\nset out \"e%s%d.gif\" \nreplot\n\n",strtok(optionfile, "."),k1);
! 2124: }
! 2125:
! 2126: /*3eme*/
! 2127:
! 2128: for (k1=1; k1<= m ; k1 ++) {
! 2129: for (cpt=1; cpt<= nlstate ; cpt ++) {
! 2130: k=2+nlstate*(cpt-1);
! 2131: fprintf(ficgp,"set ter gif small size 400,300\nplot [%.f:%.f] \"e%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",agemin,fage,fileres,k1-1,k1-1,k,cpt);
! 2132: for (i=1; i< nlstate ; i ++) {
! 2133: fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",fileres,k1-1,k1-1,k+i,cpt,i+1);
! 2134: }
! 2135: fprintf(ficgp,"\nset out \"exp%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);
! 2136: }
! 2137: }
! 2138:
! 2139: /* CV preval stat */
! 2140: for (k1=1; k1<= m ; k1 ++) {
! 2141: for (cpt=1; cpt<nlstate ; cpt ++) {
! 2142: k=3;
! 2143: fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter gif small size 400,300\nplot [%.f:%.f] \"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",agemin,agemax,fileres,k1,k+cpt+1,k+1);
! 2144: for (i=1; i< nlstate ; i ++)
! 2145: fprintf(ficgp,"+$%d",k+i+1);
! 2146: fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);
! 2147:
! 2148: l=3+(nlstate+ndeath)*cpt;
! 2149: fprintf(ficgp,",\"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",fileres,k1,l+cpt+1,l+1);
! 2150: for (i=1; i< nlstate ; i ++) {
! 2151: l=3+(nlstate+ndeath)*cpt;
! 2152: fprintf(ficgp,"+$%d",l+i+1);
! 2153: }
! 2154: fprintf(ficgp,")) t\"prev(%d,%d)\" w l\n",cpt+1,cpt+1);
! 2155: fprintf(ficgp,"set out \"p%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);
! 2156: }
! 2157: }
! 2158:
! 2159: /* proba elementaires */
! 2160: for(i=1,jk=1; i <=nlstate; i++){
! 2161: for(k=1; k <=(nlstate+ndeath); k++){
! 2162: if (k != i) {
! 2163: /* fprintf(ficgp,"%1d%1d ",i,k);*/
! 2164: for(j=1; j <=ncovmodel; j++){
! 2165: fprintf(ficgp,"%s%1d%1d=%f ",alph[j],i,k,p[jk]);
! 2166: jk++;
! 2167: fprintf(ficgp,"\n");
! 2168: }
! 2169: }
! 2170: }
! 2171: }
! 2172: for(jk=1; jk <=m; jk++) {
! 2173: fprintf(ficgp,"\nset ter gif small size 400,300\nset log y\nplot [%.f:%.f] ",agemin,agemax);
! 2174: for(i=1; i <=nlstate; i++) {
! 2175: for(k=1; k <=(nlstate+ndeath); k++){
! 2176: if (k != i) {
! 2177: fprintf(ficgp," exp(a%d%d+b%d%d*x",i,k,i,k);
! 2178: for(j=3; j <=ncovmodel; j++)
! 2179: fprintf(ficgp,"+%s%d%d*%d",alph[j],i,k,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
! 2180: fprintf(ficgp,")/(1");
! 2181: for(k1=1; k1 <=(nlstate+ndeath); k1++)
! 2182: if (k1 != i) {
! 2183: fprintf(ficgp,"+exp(a%d%d+b%d%d*x",i,k1,i,k1);
! 2184: for(j=3; j <=ncovmodel; j++)
! 2185: fprintf(ficgp,"+%s%d%d*%d",alph[j],i,k,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
! 2186: fprintf(ficgp,")");
! 2187: }
! 2188: fprintf(ficgp,") t \"p%d%d\" ", i,k);
! 2189: if ((i+k)!= (nlstate*2+ndeath)) fprintf(ficgp,",");
! 2190: }
! 2191: }
! 2192: }
! 2193: fprintf(ficgp,"\nset out \"pe%s%d.gif\" \nreplot\n\n",strtok(optionfile, "."),jk);
! 2194: }
! 2195: fclose(ficgp);
! 2196:
! 2197: chdir(path);
! 2198: free_matrix(agev,1,maxwav,1,imx);
! 2199: free_ivector(wav,1,imx);
! 2200: free_imatrix(dh,1,lastpass-firstpass+1,1,imx);
! 2201: free_imatrix(mw,1,lastpass-firstpass+1,1,imx);
! 2202:
! 2203: free_imatrix(s,1,maxwav+1,1,n);
! 2204:
! 2205:
! 2206: free_ivector(num,1,n);
! 2207: free_vector(agedc,1,n);
! 2208: free_vector(weight,1,n);
! 2209: /*free_matrix(covar,1,NCOVMAX,1,n);*/
! 2210: fclose(ficparo);
! 2211: fclose(ficres);
! 2212: }
! 2213:
! 2214: /*________fin mle=1_________*/
! 2215:
! 2216:
! 2217:
! 2218: /* No more information from the sample is required now */
! 2219: /* Reads comments: lines beginning with '#' */
! 2220: while((c=getc(ficpar))=='#' && c!= EOF){
! 2221: ungetc(c,ficpar);
! 2222: fgets(line, MAXLINE, ficpar);
! 2223: puts(line);
! 2224: fputs(line,ficparo);
! 2225: }
! 2226: ungetc(c,ficpar);
! 2227:
! 2228: fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf\n",&agemin,&agemax, &bage, &fage);
! 2229: printf("agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",agemin,agemax, bage, fage);
! 2230: fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",agemin,agemax,bage,fage);
! 2231: /*--------- index.htm --------*/
! 2232:
! 2233: if((fichtm=fopen("index.htm","w"))==NULL) {
! 2234: printf("Problem with index.htm \n");goto end;
! 2235: }
! 2236:
! 2237: fprintf(fichtm,"<body><ul> Imach, Version 0.63<hr> <li>Outputs files<br><br>\n
! 2238: - Observed prevalence in each state: <a href=\"p%s\">p%s</a> <br>\n
! 2239: - Estimated parameters and the covariance matrix: <a href=\"%s\">%s</a> <br>
! 2240: - Stationary prevalence in each state: <a href=\"pl%s\">pl%s</a> <br>
! 2241: - Transition probabilities: <a href=\"pij%s\">pij%s</a><br>
! 2242: - Copy of the parameter file: <a href=\"o%s\">o%s</a><br>
! 2243: - Life expectancies by age and initial health status: <a href=\"e%s\">e%s</a> <br>
! 2244: - Variances of life expectancies by age and initial health status: <a href=\"v%s\">v%s</a><br>
! 2245: - Health expectancies with their variances: <a href=\"t%s\">t%s</a> <br>
! 2246: - Standard deviation of stationary prevalences: <a href=\"vpl%s\">vpl%s</a> <br><br>",fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres);
! 2247:
! 2248: fprintf(fichtm," <li>Graphs</li>\n<p>");
! 2249:
! 2250: m=cptcovn;
! 2251: if (cptcovn < 1) {m=1;ncodemax[1]=1;}
! 2252:
! 2253: j1=0;
! 2254: for(k1=1; k1<=m;k1++){
! 2255: for(i1=1; i1<=ncodemax[k1];i1++){
! 2256: j1++;
! 2257: if (cptcovn > 0) {
! 2258: fprintf(fichtm,"<hr>************ Results for covariates");
! 2259: for (cpt=1; cpt<=cptcovn;cpt++)
! 2260: fprintf(fichtm," V%d=%d ",Tvar[cpt],nbcode[Tvar[cpt]][codtab[j1][cpt]]);
! 2261: fprintf(fichtm," ************\n<hr>");
! 2262: }
! 2263: fprintf(fichtm,"<br>- Probabilities: pe%s%d.gif<br>
! 2264: <img src=\"pe%s%d.gif\">",strtok(optionfile, "."),j1,strtok(optionfile, "."),j1);
! 2265: for(cpt=1; cpt<nlstate;cpt++){
! 2266: fprintf(fichtm,"<br>- Prevalence of disability : p%s%d%d.gif<br>
! 2267: <img src=\"p%s%d%d.gif\">",strtok(optionfile, "."),cpt,j1,strtok(optionfile, "."),cpt,j1);
! 2268: }
! 2269: for(cpt=1; cpt<=nlstate;cpt++) {
! 2270: fprintf(fichtm,"<br>- Observed and stationary prevalence (with confident
! 2271: interval) in state (%d): v%s%d%d.gif <br>
! 2272: <img src=\"v%s%d%d.gif\">",cpt,strtok(optionfile, "."),cpt,j1,strtok(optionfile, "."),cpt,j1);
! 2273: }
! 2274: for(cpt=1; cpt<=nlstate;cpt++) {
! 2275: fprintf(fichtm,"\n<br>- Health life expectancies by age and initial health state (%d): exp%s%d%d.gif <br>
! 2276: <img src=\"exp%s%d%d.gif\">",cpt,strtok(optionfile, "."),cpt,j1,strtok(optionfile, "."),cpt,j1);
! 2277: }
! 2278: fprintf(fichtm,"\n<br>- Total life expectancy by age and
! 2279: health expectancies in states (1) and (2): e%s%d.gif<br>
! 2280: <img src=\"e%s%d.gif\">",strtok(optionfile, "."),j1,strtok(optionfile, "."),j1);
! 2281: fprintf(fichtm,"\n</body>");
! 2282: }
! 2283: }
! 2284: fclose(fichtm);
! 2285:
! 2286: /*--------------- Prevalence limit --------------*/
! 2287:
! 2288: strcpy(filerespl,"pl");
! 2289: strcat(filerespl,fileres);
! 2290: if((ficrespl=fopen(filerespl,"w"))==NULL) {
! 2291: printf("Problem with Prev limit resultfile: %s\n", filerespl);goto end;
! 2292: }
! 2293: printf("Computing prevalence limit: result on file '%s' \n", filerespl);
! 2294: fprintf(ficrespl,"#Prevalence limit\n");
! 2295: fprintf(ficrespl,"#Age ");
! 2296: for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);
! 2297: fprintf(ficrespl,"\n");
! 2298:
! 2299: prlim=matrix(1,nlstate,1,nlstate);
! 2300: pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
! 2301: oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
! 2302: newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
! 2303: savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
! 2304: oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */
! 2305: k=0;
! 2306: agebase=agemin;
! 2307: agelim=agemax;
! 2308: ftolpl=1.e-10;
! 2309: i1=cptcovn;
! 2310: if (cptcovn < 1){i1=1;}
! 2311:
! 2312: for(cptcov=1;cptcov<=i1;cptcov++){
! 2313: for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
! 2314: k=k+1;
! 2315: /*printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);*/
! 2316: fprintf(ficrespl,"\n#****** ");
! 2317: for(j=1;j<=cptcovn;j++)
! 2318: fprintf(ficrespl,"V%d=%d ",Tvar[j],nbcode[Tvar[j]][codtab[k][j]]);
! 2319: fprintf(ficrespl,"******\n");
! 2320:
! 2321: for (age=agebase; age<=agelim; age++){
! 2322: prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
! 2323: fprintf(ficrespl,"%.0f",age );
! 2324: for(i=1; i<=nlstate;i++)
! 2325: fprintf(ficrespl," %.5f", prlim[i][i]);
! 2326: fprintf(ficrespl,"\n");
! 2327: }
! 2328: }
! 2329: }
! 2330: fclose(ficrespl);
! 2331: /*------------- h Pij x at various ages ------------*/
! 2332:
! 2333: strcpy(filerespij,"pij"); strcat(filerespij,fileres);
! 2334: if((ficrespij=fopen(filerespij,"w"))==NULL) {
! 2335: printf("Problem with Pij resultfile: %s\n", filerespij);goto end;
! 2336: }
! 2337: printf("Computing pij: result on file '%s' \n", filerespij);
! 2338:
! 2339: stepsize=(int) (stepm+YEARM-1)/YEARM;
! 2340: if (stepm<=24) stepsize=2;
! 2341:
! 2342: agelim=AGESUP;
! 2343: hstepm=stepsize*YEARM; /* Every year of age */
! 2344: hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */
! 2345:
! 2346: k=0;
! 2347: for(cptcov=1;cptcov<=i1;cptcov++){
! 2348: for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
! 2349: k=k+1;
! 2350: fprintf(ficrespij,"\n#****** ");
! 2351: for(j=1;j<=cptcovn;j++)
! 2352: fprintf(ficrespij,"V%d=%d ",Tvar[j],nbcode[Tvar[j]][codtab[k][j]]);
! 2353: fprintf(ficrespij,"******\n");
! 2354:
! 2355: for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */
! 2356: nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */
! 2357: nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
! 2358: p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
! 2359: oldm=oldms;savm=savms;
! 2360: hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);
! 2361: fprintf(ficrespij,"# Age");
! 2362: for(i=1; i<=nlstate;i++)
! 2363: for(j=1; j<=nlstate+ndeath;j++)
! 2364: fprintf(ficrespij," %1d-%1d",i,j);
! 2365: fprintf(ficrespij,"\n");
! 2366: for (h=0; h<=nhstepm; h++){
! 2367: fprintf(ficrespij,"%d %.0f %.0f",k,agedeb, agedeb+ h*hstepm/YEARM*stepm );
! 2368: for(i=1; i<=nlstate;i++)
! 2369: for(j=1; j<=nlstate+ndeath;j++)
! 2370: fprintf(ficrespij," %.5f", p3mat[i][j][h]);
! 2371: fprintf(ficrespij,"\n");
! 2372: }
! 2373: free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
! 2374: fprintf(ficrespij,"\n");
! 2375: }
! 2376: }
! 2377: }
! 2378:
! 2379: fclose(ficrespij);
! 2380:
! 2381: /*---------- Health expectancies and variances ------------*/
! 2382:
! 2383: strcpy(filerest,"t");
! 2384: strcat(filerest,fileres);
! 2385: if((ficrest=fopen(filerest,"w"))==NULL) {
! 2386: printf("Problem with total LE resultfile: %s\n", filerest);goto end;
! 2387: }
! 2388: printf("Computing Total LEs with variances: file '%s' \n", filerest);
! 2389:
! 2390:
! 2391: strcpy(filerese,"e");
! 2392: strcat(filerese,fileres);
! 2393: if((ficreseij=fopen(filerese,"w"))==NULL) {
! 2394: printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
! 2395: }
! 2396: printf("Computing Health Expectancies: result on file '%s' \n", filerese);
! 2397:
! 2398: strcpy(fileresv,"v");
! 2399: strcat(fileresv,fileres);
! 2400: if((ficresvij=fopen(fileresv,"w"))==NULL) {
! 2401: printf("Problem with variance resultfile: %s\n", fileresv);exit(0);
! 2402: }
! 2403: printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
! 2404:
! 2405: k=0;
! 2406: for(cptcov=1;cptcov<=i1;cptcov++){
! 2407: for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
! 2408: k=k+1;
! 2409: fprintf(ficrest,"\n#****** ");
! 2410: for(j=1;j<=cptcovn;j++)
! 2411: fprintf(ficrest,"V%d=%d ",Tvar[j],nbcode[Tvar[j]][codtab[k][j]]);
! 2412: fprintf(ficrest,"******\n");
! 2413:
! 2414: fprintf(ficreseij,"\n#****** ");
! 2415: for(j=1;j<=cptcovn;j++)
! 2416: fprintf(ficreseij,"V%d=%d ",j,nbcode[j][codtab[k][j]]);
! 2417: fprintf(ficreseij,"******\n");
! 2418:
! 2419: fprintf(ficresvij,"\n#****** ");
! 2420: for(j=1;j<=cptcovn;j++)
! 2421: fprintf(ficresvij,"V%d=%d ",j,nbcode[j][codtab[k][j]]);
! 2422: fprintf(ficresvij,"******\n");
! 2423:
! 2424: eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
! 2425: oldm=oldms;savm=savms;
! 2426: evsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k);
! 2427: vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
! 2428: oldm=oldms;savm=savms;
! 2429: varevsij(fileres, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);
! 2430:
! 2431: fprintf(ficrest,"#Total LEs with variances: e.. (std) ");
! 2432: for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);
! 2433: fprintf(ficrest,"\n");
! 2434:
! 2435: hf=1;
! 2436: if (stepm >= YEARM) hf=stepm/YEARM;
! 2437: epj=vector(1,nlstate+1);
! 2438: for(age=bage; age <=fage ;age++){
! 2439: prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
! 2440: fprintf(ficrest," %.0f",age);
! 2441: for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){
! 2442: for(i=1, epj[j]=0.;i <=nlstate;i++) {
! 2443: epj[j] += prlim[i][i]*hf*eij[i][j][(int)age];
! 2444: }
! 2445: epj[nlstate+1] +=epj[j];
! 2446: }
! 2447: for(i=1, vepp=0.;i <=nlstate;i++)
! 2448: for(j=1;j <=nlstate;j++)
! 2449: vepp += vareij[i][j][(int)age];
! 2450: fprintf(ficrest," %.2f (%.2f)", epj[nlstate+1],hf*sqrt(vepp));
! 2451: for(j=1;j <=nlstate;j++){
! 2452: fprintf(ficrest," %.2f (%.2f)", epj[j],hf*sqrt(vareij[j][j][(int)age]));
! 2453: }
! 2454: fprintf(ficrest,"\n");
! 2455: }
! 2456: }
! 2457: }
! 2458:
! 2459: fclose(ficreseij);
! 2460: fclose(ficresvij);
! 2461: fclose(ficrest);
! 2462: fclose(ficpar);
! 2463: free_vector(epj,1,nlstate+1);
! 2464: /* scanf("%d ",i); */
! 2465:
! 2466: /*------- Variance limit prevalence------*/
! 2467:
! 2468: strcpy(fileresvpl,"vpl");
! 2469: strcat(fileresvpl,fileres);
! 2470: if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
! 2471: printf("Problem with variance prev lim resultfile: %s\n", fileresvpl);
! 2472: exit(0);
! 2473: }
! 2474: printf("Computing Variance-covariance of Prevalence limit: file '%s' \n", fileresvpl);
! 2475:
! 2476: k=0;
! 2477: for(cptcov=1;cptcov<=i1;cptcov++){
! 2478: for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
! 2479: k=k+1;
! 2480: fprintf(ficresvpl,"\n#****** ");
! 2481: for(j=1;j<=cptcovn;j++)
! 2482: fprintf(ficresvpl,"V%d=%d ",Tvar[j],nbcode[Tvar[j]][codtab[k][j]]);
! 2483: fprintf(ficresvpl,"******\n");
! 2484:
! 2485: varpl=matrix(1,nlstate,(int) bage, (int) fage);
! 2486: oldm=oldms;savm=savms;
! 2487: varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);
! 2488: }
! 2489: }
! 2490:
! 2491: fclose(ficresvpl);
! 2492:
! 2493: /*---------- End : free ----------------*/
! 2494: free_matrix(varpl,1,nlstate,(int) bage, (int)fage);
! 2495:
! 2496: free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);
! 2497: free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
! 2498:
! 2499:
! 2500: free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);
! 2501: free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);
! 2502: free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);
! 2503: free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);
! 2504:
! 2505: free_matrix(matcov,1,npar,1,npar);
! 2506: free_vector(delti,1,npar);
! 2507:
! 2508: free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
! 2509:
! 2510: printf("End of Imach\n");
! 2511: /* gettimeofday(&end_time, (struct timezone*)0);*/ /* after time */
! 2512:
! 2513: /* printf("Total time was %d Sec. %d uSec.\n", end_time.tv_sec -start_time.tv_sec, end_time.tv_usec -start_time.tv_usec);*/
! 2514: /*printf("Total time was %d uSec.\n", total_usecs);*/
! 2515: /*------ End -----------*/
! 2516:
! 2517: end:
! 2518: #ifdef windows
! 2519: chdir(pathcd);
! 2520: #endif
! 2521: system("wgnuplot ../gp37mgw/graph.plt");
! 2522:
! 2523: #ifdef windows
! 2524: while (z[0] != 'q') {
! 2525: chdir(pathcd);
! 2526: printf("\nType e to edit output files, c to start again, and q for exiting: ");
! 2527: scanf("%s",z);
! 2528: if (z[0] == 'c') system("./imach");
! 2529: else if (z[0] == 'e') {
! 2530: chdir(path);
! 2531: system("index.htm");
! 2532: }
! 2533: else if (z[0] == 'q') exit(0);
! 2534: }
! 2535: #endif
! 2536: }
! 2537:
! 2538:
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