--- imach/src/imach.c 2018/04/27 14:27:04 1.286 +++ imach/src/imach.c 2022/05/24 08:10:59 1.318 @@ -1,6 +1,132 @@ -/* $Id: imach.c,v 1.286 2018/04/27 14:27:04 brouard Exp $ +/* $Id: imach.c,v 1.318 2022/05/24 08:10:59 brouard Exp $ $State: Exp $ $Log: imach.c,v $ + Revision 1.318 2022/05/24 08:10:59 brouard + * imach.c (Module): Some attempts to find a bug of wrong estimates + of confidencce intervals with product in the equation modelC + + Revision 1.317 2022/05/15 15:06:23 brouard + * imach.c (Module): Some minor improvements + + Revision 1.316 2022/05/11 15:11:31 brouard + Summary: r27 + + Revision 1.315 2022/05/11 15:06:32 brouard + *** empty log message *** + + Revision 1.314 2022/04/13 17:43:09 brouard + * imach.c (Module): Adding link to text data files + + Revision 1.313 2022/04/11 15:57:42 brouard + * imach.c (Module): Error in rewriting the 'r' file with yearsfproj or yearsbproj fixed + + Revision 1.312 2022/04/05 21:24:39 brouard + *** empty log message *** + + Revision 1.311 2022/04/05 21:03:51 brouard + Summary: Fixed quantitative covariates + + Fixed covariates (dummy or quantitative) + with missing values have never been allowed but are ERRORS and + program quits. Standard deviations of fixed covariates were + wrongly computed. Mean and standard deviations of time varying + covariates are still not computed. + + Revision 1.310 2022/03/17 08:45:53 brouard + Summary: 99r25 + + Improving detection of errors: result lines should be compatible with + the model. + + Revision 1.309 2021/05/20 12:39:14 brouard + Summary: Version 0.99r24 + + Revision 1.308 2021/03/31 13:11:57 brouard + Summary: Version 0.99r23 + + + * imach.c (Module): Still bugs in the result loop. Thank to Holly Benett + + Revision 1.307 2021/03/08 18:11:32 brouard + Summary: 0.99r22 fixed bug on result: + + Revision 1.306 2021/02/20 15:44:02 brouard + Summary: Version 0.99r21 + + * imach.c (Module): Fix bug on quitting after result lines! + (Module): Version 0.99r21 + + Revision 1.305 2021/02/20 15:28:30 brouard + * imach.c (Module): Fix bug on quitting after result lines! + + Revision 1.304 2021/02/12 11:34:20 brouard + * imach.c (Module): The use of a Windows BOM (huge) file is now an error + + Revision 1.303 2021/02/11 19:50:15 brouard + * (Module): imach.c Someone entered 'results:' instead of 'result:'. Now it is an error which is printed. + + Revision 1.302 2020/02/22 21:00:05 brouard + * (Module): imach.c Update mle=-3 (for computing Life expectancy + and life table from the data without any state) + + Revision 1.301 2019/06/04 13:51:20 brouard + Summary: Error in 'r'parameter file backcast yearsbproj instead of yearsfproj + + Revision 1.300 2019/05/22 19:09:45 brouard + Summary: version 0.99r19 of May 2019 + + Revision 1.299 2019/05/22 18:37:08 brouard + Summary: Cleaned 0.99r19 + + Revision 1.298 2019/05/22 18:19:56 brouard + *** empty log message *** + + Revision 1.297 2019/05/22 17:56:10 brouard + Summary: Fix bug by moving date2dmy and nhstepm which gaefin=-1 + + Revision 1.296 2019/05/20 13:03:18 brouard + Summary: Projection syntax simplified + + + We can now start projections, forward or backward, from the mean date + of inteviews up to or down to a number of years of projection: + prevforecast=1 yearsfproj=15.3 mobil_average=0 + or + prevforecast=1 starting-proj-date=1/1/2007 final-proj-date=12/31/2017 mobil_average=0 + or + prevbackcast=1 yearsbproj=12.3 mobil_average=1 + or + prevbackcast=1 starting-back-date=1/10/1999 final-back-date=1/1/1985 mobil_average=1 + + Revision 1.295 2019/05/18 09:52:50 brouard + Summary: doxygen tex bug + + Revision 1.294 2019/05/16 14:54:33 brouard + Summary: There was some wrong lines added + + Revision 1.293 2019/05/09 15:17:34 brouard + *** empty log message *** + + Revision 1.292 2019/05/09 14:17:20 brouard + Summary: Some updates + + Revision 1.291 2019/05/09 13:44:18 brouard + Summary: Before ncovmax + + Revision 1.290 2019/05/09 13:39:37 brouard + Summary: 0.99r18 unlimited number of individuals + + The number n which was limited to 20,000 cases is now unlimited, from firstobs to lastobs. If the number is too for the virtual memory, probably an error will occur. + + Revision 1.289 2018/12/13 09:16:26 brouard + Summary: Bug for young ages (<-30) will be in r17 + + Revision 1.288 2018/05/02 20:58:27 brouard + Summary: Some bugs fixed + + Revision 1.287 2018/05/01 17:57:25 brouard + Summary: Bug fixed by providing frequencies only for non missing covariates + Revision 1.286 2018/04/27 14:27:04 brouard Summary: some minor bugs @@ -1040,14 +1166,15 @@ typedef struct { #define NINTERVMAX 8 #define NLSTATEMAX 8 /**< Maximum number of live states (for func) */ #define NDEATHMAX 8 /**< Maximum number of dead states (for func) */ -#define NCOVMAX 20 /**< Maximum number of covariates, including generated covariates V1*V2 */ +#define NCOVMAX 30 /**< Maximum number of covariates, including generated covariates V1*V2 */ #define codtabm(h,k) (1 & (h-1) >> (k-1))+1 /*#define decodtabm(h,k,cptcoveff)= (h <= (1<> (k-1)) & 1) +1 : -1)*/ #define decodtabm(h,k,cptcoveff) (((h-1) >> (k-1)) & 1) +1 -#define MAXN 20000 +/*#define MAXN 20000 */ /* Should by replaced by nobs, real number of observations and unlimited */ #define YEARM 12. /**< Number of months per year */ /* #define AGESUP 130 */ -#define AGESUP 150 +/* #define AGESUP 150 */ +#define AGESUP 200 #define AGEINF 0 #define AGEMARGE 25 /* Marge for agemin and agemax for(iage=agemin-AGEMARGE; iage <= agemax+3+AGEMARGE; iage++) */ #define AGEBASE 40 @@ -1063,12 +1190,12 @@ typedef struct { #define ODIRSEPARATOR '\\' #endif -/* $Id: imach.c,v 1.286 2018/04/27 14:27:04 brouard Exp $ */ +/* $Id: imach.c,v 1.318 2022/05/24 08:10:59 brouard Exp $ */ /* $State: Exp $ */ #include "version.h" char version[]=__IMACH_VERSION__; -char copyright[]="April 2018,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2018"; -char fullversion[]="$Revision: 1.286 $ $Date: 2018/04/27 14:27:04 $"; +char copyright[]="May 2022,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2020, Nihon University 2021-202, INED 2000-2022"; +char fullversion[]="$Revision: 1.318 $ $Date: 2022/05/24 08:10:59 $"; char strstart[80]; char optionfilext[10], optionfilefiname[FILENAMELENGTH]; int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */ @@ -1091,8 +1218,9 @@ int nqfveff=0; /**< nqfveff Number of Qu int ntveff=0; /**< ntveff number of effective time varying variables */ int nqtveff=0; /**< ntqveff number of effective time varying quantitative variables */ int cptcov=0; /* Working variable */ +int nobs=10; /* Number of observations in the data lastobs-firstobs */ int ncovcombmax=NCOVMAX; /* Maximum calculated number of covariate combination = pow(2, cptcoveff) */ -int npar=NPARMAX; +int npar=NPARMAX; /* Number of parameters (nlstate+ndeath-1)*nlstate*ncovmodel; */ int nlstate=2; /* Number of live states */ int ndeath=1; /* Number of dead states */ int ncovmodel=0, ncovcol=0; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */ @@ -1231,7 +1359,12 @@ double **pmmij, ***probs; /* Global poin double ***mobaverage, ***mobaverages; /* New global variable */ double *ageexmed,*agecens; double dateintmean=0; + double anprojd, mprojd, jprojd; /* For eventual projections */ + double anprojf, mprojf, jprojf; + double anbackd, mbackd, jbackd; /* For eventual backprojections */ + double anbackf, mbackf, jbackf; + double jintmean,mintmean,aintmean; double *weight; int **s; /* Status */ double *agedc; @@ -1243,6 +1376,10 @@ double ***cotvar; /* Time varying covari double ***cotqvar; /* Time varying quantitative covariate itqv */ double idx; int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */ +/* ncovcol=1(Males=0 Females=1) nqv=1(raedyrs) ntv=2(withoutiadl=0 withiadl=1, witoutadl=0 withoutadl=1) nqtv=1(bmi) nlstate=3 ndeath=1 + # States 1=Coresidence, 2 Living alone, 3 Institution + # V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi +*/ /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /*k 1 2 3 4 5 6 7 8 9 */ /*Tvar[k]= 5 4 3 6 5 2 7 1 1 */ @@ -1266,17 +1403,21 @@ int *TvarsDind; int *TvarsQ; int *TvarsQind; -#define MAXRESULTLINES 10 +#define MAXRESULTLINESPONE 10+1 int nresult=0; int parameterline=0; /* # of the parameter (type) line */ -int TKresult[MAXRESULTLINES]; -int Tresult[MAXRESULTLINES][NCOVMAX];/* For dummy variable , value (output) */ -int Tinvresult[MAXRESULTLINES][NCOVMAX];/* For dummy variable , value (output) */ -int Tvresult[MAXRESULTLINES][NCOVMAX]; /* For dummy variable , variable # (output) */ -double Tqresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , value (output) */ -double Tqinvresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , value (output) */ -int Tvqresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , variable # (output) */ - +int TKresult[MAXRESULTLINESPONE]; +int Tresult[MAXRESULTLINESPONE][NCOVMAX];/* For dummy variable , value (output) */ +int Tinvresult[MAXRESULTLINESPONE][NCOVMAX];/* For dummy variable , value (output) */ +int Tvresult[MAXRESULTLINESPONE][NCOVMAX]; /* For dummy variable , variable # (output) */ +double Tqresult[MAXRESULTLINESPONE][NCOVMAX]; /* For quantitative variable , value (output) */ +double Tqinvresult[MAXRESULTLINESPONE][NCOVMAX]; /* For quantitative variable , value (output) */ +int Tvqresult[MAXRESULTLINESPONE][NCOVMAX]; /* For quantitative variable , variable # (output) */ + +/* ncovcol=1(Males=0 Females=1) nqv=1(raedyrs) ntv=2(withoutiadl=0 withiadl=1, witoutadl=0 withoutadl=1) nqtv=1(bmi) nlstate=3 ndeath=1 + # States 1=Coresidence, 2 Living alone, 3 Institution + # V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi +*/ /* int *TDvar; /\**< TDvar[1]=4, TDvarF[2]=3, TDvar[3]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\/ */ int *TvarF; /**< TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ int *TvarFind; /**< TvarFind[1]=6, TvarFind[2]=7, Tvarind[3]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ @@ -1478,7 +1619,7 @@ char *cutl(char *blocc, char *alocc, cha { /* 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". + gives alocc="abcdef" and blocc="ghi2j". If occ is not found blocc is null and alocc is equal to in. Returns blocc */ char *s, *t; @@ -1760,7 +1901,9 @@ char *subdirf(char fileres[]) /*************** function subdirf2 ***********/ char *subdirf2(char fileres[], char *preop) { - + /* Example subdirf2(optionfilefiname,"FB_") with optionfilefiname="texte", result="texte/FB_texte" + Errors in subdirf, 2, 3 while printing tmpout is + rewritten within the same printf. Workaround: many printfs */ /* Caution optionfilefiname is hidden */ strcpy(tmpout,optionfilefiname); strcat(tmpout,"/"); @@ -2131,10 +2274,10 @@ void linmin(double p[], double xi[], int #endif #ifdef LINMINORIGINAL #else - if(fb == fx){ /* Flat function in the direction */ - xmin=xx; + if(fb == fx){ /* Flat function in the direction */ + xmin=xx; *flat=1; - }else{ + }else{ *flat=0; #endif /*Flat mnbrak2 shift (*ax=0.000000000000, *fa=51626.272983130431), (*bx=-1.618034000000, *fb=51590.149499362531), (*cx=-4.236068025156, *fc=51590.149499362531) */ @@ -2192,10 +2335,10 @@ void linmin(double p[], double xi[], int /*************** 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 +Minimization of a function func of n variables. Input consists in 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 in 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. */ @@ -2350,13 +2493,13 @@ void powell(double p[], double **xi, int /* 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) */ for(j=1;j<=n;j++) { - if(flatdir[j] >0){ - printf(" p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); - fprintf(ficlog," p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); - } - /* printf("\n"); */ - /* fprintf(ficlog,"\n"); */ - } + if(flatdir[j] >0){ + printf(" p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); + fprintf(ficlog," p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); + } + /* printf("\n"); */ + /* fprintf(ficlog,"\n"); */ + } /* if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /\* Did we reach enough precision? *\/ */ if (2.0*fabs(fp-(*fret)) <= ftol) { /* Did we reach enough precision? */ /* We could compare with a chi^2. chisquare(0.95,ddl=1)=3.84 */ @@ -2574,6 +2717,7 @@ void powell(double p[], double **xi, int double **newm; double agefin, delaymax=200. ; /* 100 Max number of years to converge */ int ncvloop=0; + int first=0; min=vector(1,nlstate); max=vector(1,nlstate); @@ -2670,10 +2814,22 @@ void powell(double p[], double **xi, int free_vector(meandiff,1,nlstate); return prlim; } - } /* age loop */ + } /* agefin 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); + if(!first){ + first=1; + printf("Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d). Others in log file only...\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); + fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); + }else if (first >=1 && first <10){ + fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); + first++; + }else if (first ==10){ + fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); + printf("Warning: the stable prevalence dit not converge. This warning came too often, IMaCh will stop notifying, even in its log file. Look at the graphs to appreciate the non convergence.\n"); + fprintf(ficlog,"Warning: the stable prevalence no convergence; too many cases, giving up noticing, even in log file\n"); + first++; + } + /* 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); @@ -2739,7 +2895,8 @@ Earliest age to start was %d-%d=%d, ncvl /* Even if hstepm = 1, at least one multiplication by the unit matrix */ /* Start at agefin= age, computes the matrix of passage and loops decreasing agefin until convergence is reached */ /* for(agefin=age+stepm/YEARM; agefin<=age+delaymax; agefin=agefin+stepm/YEARM){ /\* A changer en age *\/ */ - for(agefin=age; agefin ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. Others in log file only...\n\ Oldest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, delaymax, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear); @@ -2938,8 +3095,8 @@ double **pmij(double **ps, double *cov, ps[ii][ii]=1; } } - - + + /* for(ii=1; ii<= nlstate+ndeath; ii++){ */ /* for(jj=1; jj<= nlstate+ndeath; jj++){ */ /* printf(" pmij ps[%d][%d]=%lf ",ii,jj,ps[ii][jj]); */ @@ -2959,7 +3116,7 @@ double **pmij(double **ps, double *cov, /* double **bmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate, double ***prevacurrent, double ***dnewm, double **doldm, double **dsavm, int ij ) */ double **bmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate, double ***prevacurrent, int ij ) { - /* Computes the backward probability at age agefin and covariate combination ij. In fact cov is already filled and x too. + /* Computes the backward probability at age agefin, cov[2], and covariate combination 'ij'. In fact cov is already filled and x too. * Call to pmij(cov and x), call to cross prevalence, sums and inverses, left multiply, and returns in **ps as well as **bmij. */ int i, ii, j,k; @@ -2967,14 +3124,16 @@ double **pmij(double **ps, double *cov, double **out, **pmij(); double sumnew=0.; double agefin; - double k3=0.; /* constant of the w_x diagonal matrixe (in order for B to sum to 1 even for death state) */ + double k3=0.; /* constant of the w_x diagonal matrix (in order for B to sum to 1 even for death state) */ double **dnewm, **dsavm, **doldm; double **bbmij; doldm=ddoldms; /* global pointers */ dnewm=ddnewms; dsavm=ddsavms; - + + /* Debug */ + /* printf("Bmij ij=%d, cov[2}=%f\n", ij, cov[2]); */ agefin=cov[2]; /* Bx = Diag(w_x) P_x Diag(Sum_i w^i_x p^ij_x */ /* bmij *//* age is cov[2], ij is included in cov, but we need for @@ -2986,11 +3145,11 @@ double **pmij(double **ps, double *cov, /* outputs pmmij which is a stochastic matrix in row */ /* Diag(w_x) */ - /* Problem with prevacurrent which can be zero */ + /* Rescaling the cross-sectional prevalence: Problem with prevacurrent which can be zero */ sumnew=0.; /*for (ii=1;ii<=nlstate+ndeath;ii++){*/ for (ii=1;ii<=nlstate;ii++){ /* Only on live states */ - /* printf(" agefin=%d, ii=%d, ij=%d, prev=%f\n",(int)agefin,ii, ij, prevacurrent[(int)agefin][ii][ij]); */ + /* printf(" agefin=%d, ii=%d, ij=%d, prev=%f\n",(int)agefin,ii, ij, prevacurrent[(int)agefin][ii][ij]); */ sumnew+=prevacurrent[(int)agefin][ii][ij]; } if(sumnew >0.01){ /* At least some value in the prevalence */ @@ -3013,10 +3172,10 @@ double **pmij(double **ps, double *cov, } /* End doldm, At the end doldm is diag[(w_i)] */ - /* left Product of this diag matrix by pmmij=Px (dnewm=dsavm*doldm) */ - bbmij=matprod2(dnewm, doldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, pmmij); /* Bug Valgrind */ + /* Left product of this diag matrix by pmmij=Px (dnewm=dsavm*doldm): diag[(w_i)*Px */ + bbmij=matprod2(dnewm, doldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, pmmij); /* was a Bug Valgrind */ - /* Diag(Sum_i w^i_x p^ij_x */ + /* Diag(Sum_i w^i_x p^ij_x, should be the prevalence at age x+stepm */ /* w1 p11 + w2 p21 only on live states N1./N..*N11/N1. + N2./N..*N21/N2.=(N11+N21)/N..=N.1/N.. */ for (j=1;j<=nlstate+ndeath;j++){ sumnew=0.; @@ -3034,7 +3193,7 @@ double **pmij(double **ps, double *cov, } /*End ii */ } /* End j, At the end dsavm is diag[1/(w_1p1i+w_2 p2i)] for ALL states even if the sum is only for live states */ - ps=matprod2(ps, dnewm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, dsavm); /* Bug Valgrind */ + ps=matprod2(ps, dnewm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, dsavm); /* was a Bug Valgrind */ /* ps is now diag[w_i] * Px * diag [1/(w_1p1i+w_2 p2i)] */ /* end bmij */ return ps; /*pointer is unchanged */ @@ -3106,7 +3265,7 @@ double **bpmij(double **ps, double *cov, ps[ii][ii]=1; } } - /* Added for backcast */ /* Transposed matrix too */ + /* Added for prevbcast */ /* Transposed matrix too */ for(jj=1; jj<= nlstate+ndeath; jj++){ s1=0.; for(ii=1; ii<= nlstate+ndeath; ii++){ @@ -3298,6 +3457,8 @@ double ***hbxij(double ***po, int nhstep cov[1]=1.; agexact=age-( (h-1)*hstepm + (d) )*stepm/YEARM; /* age just before transition, d or d-1? */ /* agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; /\* age just before transition *\/ */ + /* Debug */ + /* printf("hBxij age=%lf, agexact=%lf\n", age, agexact); */ cov[2]=agexact; if(nagesqr==1) cov[3]= agexact*agexact; @@ -3449,10 +3610,10 @@ double func( double *x) if(nagesqr==1) cov[3]= agexact*agexact; /* Should be changed here */ for (kk=1; kk<=cptcovage;kk++) { - if(!FixedV[Tvar[Tage[kk]]]) - cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ - else - cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]*agexact; + if(!FixedV[Tvar[Tage[kk]]]) + cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ + else + cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]*agexact; } out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); @@ -3739,7 +3900,7 @@ double funcone( double *x) /* Fixed */ /* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */ /* for (k=1; k<=ncoveff;k++){ /\* Simple and product fixed Dummy covariates without age* products *\/ */ - for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products */ + for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products *//* Missing values are set to -1 but should be dropped */ cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ /* cov[ioffset+TvarFind[1]]=covar[Tvar[TvarFind[1]]][i]; */ /* cov[2+6]=covar[Tvar[6]][i]; */ @@ -3866,7 +4027,7 @@ return -l; /*************** function likelione ***********/ -void likelione(FILE *ficres,double p[], int npar, int nlstate, int *globpri, long *ipmx, double *sw, double *fretone, double (*funcone)(double [])) +void likelione(FILE *ficres,double p[], int npar, int nlstate, int *globpri, long *ipmx, double *sw, double *fretone, double (*func)(double [])) { /* This routine should help understanding what is done with the selection of individuals/waves and @@ -3890,7 +4051,7 @@ void likelione(FILE *ficres,double p[], fprintf(ficresilk," -2*gipw/gsw*weight*ll(total)\n"); } - *fretone=(*funcone)(p); + *fretone=(*func)(p); if(*globpri !=0){ fclose(ficresilk); if (mle ==0) @@ -4365,6 +4526,20 @@ void pstamp(FILE *fichier) fprintf(fichier,"# %s.%s\n#IMaCh version %s, %s\n#%s\n# %s", optionfilefiname,optionfilext,version,copyright, fullversion, strstart); } +void date2dmy(double date,double *day, double *month, double *year){ + double yp=0., yp1=0., yp2=0.; + + yp1=modf(date,&yp);/* extracts integral of date in yp and + fractional in yp1 */ + *year=yp; + yp2=modf((yp1*12),&yp); + *month=yp; + yp1=modf((yp2*30.5),&yp); + *day=yp; + if(*day==0) *day=1; + if(*month==0) *month=1; +} + /************ Frequencies ********************/ @@ -4580,10 +4755,13 @@ Title=%s
Datafile=%s Firstpass=%d La if(s[m][iind]==-1) printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind],agebegin, ageend, (int)((agebegin+ageend)/2.)); freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ - for (z1=1; z1<= nqfveff; z1++) { /* Quantitative variables, calculating mean */ - idq[z1]=idq[z1]+weight[iind]; - meanq[z1]+=covar[ncovcol+z1][iind]*weight[iind]; /* Computes mean of quantitative with selected filter */ - stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]*weight[iind]; /* *weight[iind];*/ /* Computes mean of quantitative with selected filter */ + for (z1=1; z1<= nqfveff; z1++) { /* Quantitative variables, calculating mean on known values only */ + if(!isnan(covar[ncovcol+z1][iind])){ + idq[z1]=idq[z1]+weight[iind]; + meanq[z1]+=covar[ncovcol+z1][iind]*weight[iind]; /* Computes mean of quantitative with selected filter */ + /* stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]*weight[iind]; *//*error*/ + stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]; /* *weight[iind];*/ /* Computes mean of quantitative with selected filter */ + } } /* if((int)agev[m][iind] == 55) */ /* printf("j=%d, j1=%d Age %d, iind=%d, num=%09ld m=%d\n",j,j1,(int)agev[m][iind],iind, num[iind],m); */ @@ -4646,16 +4824,19 @@ Title=%s
Datafile=%s Firstpass=%d La Printing means of quantitative variables if any */ for (z1=1; z1<= nqfveff; z1++) { - fprintf(ficlog,"Mean of fixed quantitative variable V%d on %.0f individuals sum=%f", ncovcol+z1, idq[z1], meanq[z1]); + fprintf(ficlog,"Mean of fixed quantitative variable V%d on %.3g (weighted) individuals sum=%f", ncovcol+z1, idq[z1], meanq[z1]); fprintf(ficlog,", mean=%.3g\n",meanq[z1]/idq[z1]); if(weightopt==1){ printf(" Weighted mean and standard deviation of"); fprintf(ficlog," Weighted mean and standard deviation of"); fprintf(ficresphtmfr," Weighted mean and standard deviation of"); } - printf(" fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1])); - fprintf(ficlog," fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1])); - fprintf(ficresphtmfr," fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)

\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1])); + /* mu = \frac{w x}{\sum w} + var = \frac{\sum w (x-mu)^2}{\sum w} = \frac{w x^2}{\sum w} - mu^2 + */ + printf(" fixed quantitative variable V%d on %.3g (weighted) representatives of the population : %8.5g (%8.5g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1])); + fprintf(ficlog," fixed quantitative variable V%d on %.3g (weighted) representatives of the population : %8.5g (%8.5g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1])); + fprintf(ficresphtmfr," fixed quantitative variable V%d on %.3g (weighted) representatives of the population : %8.5g (%8.5g)

\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1])); } /* for (z1=1; z1<= nqtveff; z1++) { */ /* for(m=1;m<=lastpass;m++){ */ @@ -4939,6 +5120,7 @@ Title=%s
Datafile=%s Firstpass=%d La } } /* end mle=-2 */ dateintmean=dateintsum/k2cpt; + date2dmy(dateintmean,&jintmean,&mintmean,&aintmean); fclose(ficresp); fclose(ficresphtm); @@ -5052,7 +5234,7 @@ void prevalence(double ***probs, double /*j=cptcoveff;*/ if (cptcovn<1) {j=1;ncodemax[1]=1;} - first=1; + first=0; for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ /* For each combination of covariate */ for (i=1; i<=nlstate; i++) for(iage=iagemin-AGEMARGE; iage <= iagemax+4+AGEMARGE; iage++) @@ -5110,12 +5292,11 @@ void prevalence(double ***probs, double if(posprop>=1.e-5){ probs[i][jk][j1]= prop[jk][i]/posprop; } else{ - if(first==1){ - first=0; + if(!first){ + first=1; printf("Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]); - fprintf(ficlog,"Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]); }else{ - fprintf(ficlog,"Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]); + fprintf(ficlog,"Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases.\n",jk,i,jk, j1,probs[i][jk][j1]); } } } @@ -5133,11 +5314,11 @@ void prevalence(double ***probs, double void concatwav(int wav[], int **dh, int **bh, int **mw, int **s, double *agedc, double **agev, int firstpass, int lastpass, int imx, int nlstate, int stepm) { - /* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i. + /* Concatenates waves: wav[i] is the number of effective (useful waves in the sense that a non interview is useless) of individual i. Death is a valid wave (if date is known). mw[mi][i] is the mi (mi=1 to wav[i]) effective wave of individual i dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i] - and mw[mi+1][i]. dh depends on stepm. + and mw[mi+1][i]. dh depends on stepm. s[m][i] exists for any wave from firstpass to lastpass */ int i=0, mi=0, m=0, mli=0; @@ -5158,33 +5339,41 @@ void concatwav(int wav[], int **dh, int for(i=1; i<=imx; i++){ /* For simple cases and if state is death */ mi=0; /* First valid wave */ mli=0; /* Last valid wave */ - m=firstpass; - while(s[m][i] <= nlstate){ /* a live state */ + m=firstpass; /* Loop on waves */ + while(s[m][i] <= nlstate){ /* a live state or unknown state */ if(m >firstpass && s[m][i]==s[m-1][i] && mint[m][i]==mint[m-1][i] && anint[m][i]==anint[m-1][i]){/* Two succesive identical information on wave m */ mli=m-1;/* mw[++mi][i]=m-1; */ }else 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; + mw[++mi][i]=m; /* Valid wave: incrementing mi and updating mi; mw[mi] is the wave number of mi_th valid transition */ mli=m; } /* else might be a useless wave -1 and mi is not incremented and mw[mi] not updated */ if(m < lastpass){ /* m < lastpass, standard case */ m++; /* mi gives the "effective" current wave, m the current wave, go to next wave by incrementing m */ } - else{ /* m >= lastpass, eventual special issue with warning */ + else{ /* m = lastpass, eventual special issue with warning */ #ifdef UNKNOWNSTATUSNOTCONTRIBUTING break; #else - if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){ + if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){ /* no death date and known date of interview, case -2 (vital status unknown is warned later */ if(firsthree == 0){ - printf("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 as 1-p%d%d .\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, s[m][i], nlstate+ndeath); + printf("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 as 1-p_{%d%d} .\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, s[m][i], nlstate+ndeath); firsthree=1; + }else if(firsthree >=1 && firsthree < 10){ + 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 as 1-p_{%d%d} .\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, s[m][i], nlstate+ndeath); + firsthree++; + }else if(firsthree == 10){ + printf("Information, too many Information flags: no more reported to log either\n"); + fprintf(ficlog,"Information, too many Information flags: no more reported to log either\n"); + firsthree++; + }else{ + firsthree++; } - 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 as 1-p%d%d .\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, s[m][i], nlstate+ndeath); - mw[++mi][i]=m; + mw[++mi][i]=m; /* Valid transition with unknown status */ mli=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? */ + if((int)anint[m][i] == 9999){ /* Has the vital status really been verified?not a transition */ 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.\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m); } @@ -5209,34 +5398,35 @@ void concatwav(int wav[], int **dh, int #ifndef DISPATCHINGKNOWNDEATHAFTERLASTWAVE else if ((int) andc[i] != 9999) { /* Date of death is known */ if ((int)anint[m][i]!= 9999) { /* date of last interview is known */ - if((andc[i]+moisdc[i]/12.) <=(anint[m][i]+mint[m][i]/12.)){ /* death occured before last wave and status should have been death instead of -1 */ + if((andc[i]+moisdc[i]/12.) <=(anint[m][i]+mint[m][i]/12.)){ /* month of death occured before last wave month and status should have been death instead of -1 */ nbwarn++; if(firstfiv==0){ - printf("Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d interviewed at %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing 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], s[m][i], i,m ); + printf("Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d, interviewed on %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing 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], s[m][i], i,m ); firstfiv=1; }else{ - fprintf(ficlog,"Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d interviewed at %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); + fprintf(ficlog,"Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d, interviewed on %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); } - }else{ /* Death occured afer last wave potential bias */ + s[m][i]=nlstate+1; /* Fixing the status as death. Be careful if multiple death states */ + }else{ /* Month of Death occured afer last wave month, potential bias */ nberr++; if(firstwo==0){ - printf("Error! Death for individual %ld line=%d occurred at %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. Please add a new fictive wave at the date of last vital status scan, with a dead status or alive but unknown state status (-1). See documentation\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 ); + printf("Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d with status %d. Potential bias if other individuals are still alive on this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictitious wave at the date of last vital status scan, with a dead status. See documentation\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); firstwo=1; } - fprintf(ficlog,"Error! Death for individual %ld line=%d occurred at %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. Please add a new fictive wave at the date of last vital status scan, with a dead status or alive but unknown state status (-1). See documentation\n\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 at %d/%d after last wave %d interviewed at %d/%d with status %d. Potential bias if other individuals are still alive on this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictitious wave at the date of last vital status scan, with a dead status. See documentation\n\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); } }else{ /* if date of interview is unknown */ /* death is known but not confirmed by death status at any wave */ if(firstfour==0){ - printf("Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); + printf("Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d with status %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], s[m][i], i,m ); firstfour=1; } - fprintf(ficlog,"Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); + fprintf(ficlog,"Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d with status %d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); } } /* end if date of death is known */ #endif - wav[i]=mi; /* mi should be the last effective wave (or mli) */ - /* wav[i]=mw[mi][i]; */ + wav[i]=mi; /* mi should be the last effective wave (or mli), */ + /* wav[i]=mw[mi][i]; */ if(mi==0){ nbwarn++; if(first==0){ @@ -5250,7 +5440,10 @@ void concatwav(int wav[], int **dh, int } /* End individuals */ /* wav and mw are no more changed */ - + printf("Information, you have to check %d informations which haven't been logged!\n",firsthree); + fprintf(ficlog,"Information, you have to check %d informations which haven't been logged!\n",firsthree); + + for(i=1; i<=imx; i++){ for(mi=1; mi NCOVMAX)){ + if (ij <0 || ij >1 ){ + printf("ERROR, IMaCh doesn't treat covariate with missing values V%d=-1, individual %d will be skipped.\n",Tvar[k],i); + fprintf(ficlog,"ERROR, currently IMaCh doesn't treat covariate with missing values V%d=-1, individual %d will be skipped.\n",Tvar[k],i); + fflush(ficlog); + exit(1); + } + if ((ij < -1) || (ij > NCOVMAX)){ printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); exit(1); }else @@ -5430,12 +5630,18 @@ void concatwav(int wav[], int **dh, int /* 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*/ + + /* 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*/ + /* Skipping the case of missing values by reducing nbcode to 0 and 1 and not -1, 0, 1 */ + /* model=V1+V2+V3, if V2=-1, 0 or 1, then nbcode[2][1]=0 and nbcode[2][2]=1 instead of + * nbcode[2][1]=-1, nbcode[2][2]=0 and nbcode[2][3]=1 */ + /*, could be restored in the future */ + for (i=0; i<=1; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/ if (Ndum[i] == 0) { /* If nobody responded to this modality k */ break; } ij++; - nbcode[Tvar[k]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality. nbcode[1][1]=0 nbcode[1][2]=1*/ + nbcode[Tvar[k]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality. nbcode[1][1]=0 nbcode[1][2]=1 . Could be -1*/ cptcode = ij; /* New max modality for covar j */ } /* end of loop on modality i=-1 to 1 or more */ break; @@ -5451,21 +5657,17 @@ void concatwav(int wav[], int **dh, int break; } /* end switch */ } /* end dummy test */ - - /* 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*/ + if(Dummy[k]==1 && Typevar[k] !=1){ /* Dummy covariate and not age product */ + for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the modality of this covariate Vj*/ + if(isnan(covar[Tvar[k]][i])){ + printf("ERROR, IMaCh doesn't treat fixed quantitative covariate with missing values V%d=., individual %d will be skipped.\n",Tvar[k],i); + fprintf(ficlog,"ERROR, currently IMaCh doesn't treat covariate with missing values V%d=., individual %d will be skipped.\n",Tvar[k],i); + fflush(ficlog); + exit(1); + } + } + } + } /* end of loop on model-covariate k. nbcode[Tvark][1]=-1, nbcode[Tvark][1]=0 and nbcode[Tvark][2]=1 sets the value of covariate k*/ for (k=-1; k< maxncov; k++) Ndum[k]=0; /* Look at fixed dummy (single or product) covariates to check empty modalities */ @@ -5849,6 +6051,7 @@ void concatwav(int wav[], int **dh, int double **dnewm,**doldm; double **dnewmp,**doldmp; int i, j, nhstepm, hstepm, h, nstepm ; + int first=0; int k; double *xp; double **gp, **gm; /**< for var eij */ @@ -5973,7 +6176,7 @@ void concatwav(int wav[], int **dh, int } /**< Computes the prevalence limit with parameter theta shifted of delta up to ftolpl precision and * returns into prlim . - */ + */ prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij, nres); /* If popbased = 1 we use crossection prevalences. Previous step is useless but prlim is created */ @@ -5986,10 +6189,10 @@ void concatwav(int wav[], int **dh, int prlim[i][i]=mobaverage[(int)age][i][ij]; } } - /**< Computes the shifted transition matrix \f$ {}{h}_p^{ij}_x\f$ at horizon h. + /**< Computes the shifted transition matrix \f$ {}{h}_p^{ij}x\f$ at horizon h. */ hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij,nres); /* Returns p3mat[i][j][h] for h=0 to nhstepm */ - /**< And for each alive state j, sums over i \f$ w^i_x {}{h}_p^{ij}_x\f$, which are the probability + /**< And for each alive state j, sums over i \f$ w^i_x {}{h}_p^{ij}x\f$, which are the probability * at horizon h in state j including mortality. */ for(j=1; j<= nlstate; j++){ @@ -6011,7 +6214,7 @@ void concatwav(int wav[], int **dh, int for(i=1; i<=npar; i++) /* Computes gradient x - delta */ xp[i] = x[i] - (i==theta ?delti[theta]:0); - + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp, ij, nres); if (popbased==1) { @@ -6197,7 +6400,7 @@ void concatwav(int wav[], int **dh, int int theta; pstamp(ficresvpl); - fprintf(ficresvpl,"# Standard deviation of period (stable) prevalences \n"); + fprintf(ficresvpl,"# Standard deviation of period (forward stable) prevalences \n"); fprintf(ficresvpl,"# Age "); if(nresult >=1) fprintf(ficresvpl," Result# "); @@ -6226,20 +6429,20 @@ void concatwav(int wav[], int **dh, int for(i=1; i<=npar; i++){ /* Computes gradient */ xp[i] = x[i] + (i==theta ?delti[theta]:0); } - if((int)age==79 ||(int)age== 80 ||(int)age== 81 ) - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); - else - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); + /* if((int)age==79 ||(int)age== 80 ||(int)age== 81 ) */ + /* prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); */ + /* else */ + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); 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); - if((int)age==79 ||(int)age== 80 ||(int)age== 81 ) - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); - else - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); + /* if((int)age==79 ||(int)age== 80 ||(int)age== 81 ) */ + /* prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); */ + /* else */ + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); for(i=1;i<=nlstate;i++){ gm[i] = prlim[i][i]; mgm[theta][i] = prlim[i][i]; @@ -6288,8 +6491,11 @@ void concatwav(int wav[], int **dh, int fprintf(ficresvpl,"%.0f ",age ); if(nresult >=1) fprintf(ficresvpl,"%d ",nres ); - for(i=1; i<=nlstate;i++) + for(i=1; i<=nlstate;i++){ fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age])); + /* for(j=1;j<=nlstate;j++) */ + /* fprintf(ficresvpl," %d %.5f ",j,prlim[j][i]); */ + } fprintf(ficresvpl,"\n"); free_vector(gp,1,nlstate); free_vector(gm,1,nlstate); @@ -6506,7 +6712,7 @@ void varprob(char optionfilefiname[], do fprintf(fichtm,"\n

  • Computing and drawing one step probabilities with their confidence intervals

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

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

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

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

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

    Matrix of variance-covariance of pairs of step probabilities

    \n",optionfilehtmcov, optionfilehtmcov); fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (pij, pkl) are estimated \ and drawn. It helps understanding how is the covariance between two incidences.\ @@ -6569,7 +6775,7 @@ To be simple, these graphs help to under /* nbcode[1][1]=0 nbcode[1][2]=1;*/ } /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ - for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; + for (k=1; k<=cptcovage;k++) cov[2+Tage[k]+nagesqr]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; for (k=1; k<=cptcovprod;k++) cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; @@ -6776,9 +6982,9 @@ To be simple, these graphs help to under 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 mobilav, int prevfcast, int mobilavproj, int backcast, int estepm , \ - double jprev1, double mprev1,double anprev1, double dateprev1, double dateproj1, double dateback1, \ - double jprev2, double mprev2,double anprev2, double dateprev2, double dateproj2, double dateback2){ + int popforecast, int mobilav, int prevfcast, int mobilavproj, int prevbcast, int estepm , \ + double jprev1, double mprev1,double anprev1, double dateprev1, double dateprojd, double dateback1, \ + double jprev2, double mprev2,double anprev2, double dateprev2, double dateprojf, double dateback2){ int jj1, k1, i1, cpt, k4, nres; fprintf(fichtm,"