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version 1.218, 2016/02/12 11:29:23
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version 1.221, 2016/02/15 23:35:36
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| /* $Id$ |
/* $Id$ |
| $State$ |
$State$ |
| $Log$ |
$Log$ |
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Revision 1.221 2016/02/15 23:35:36 brouard |
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Summary: minor bug |
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Revision 1.219 2016/02/15 00:48:12 brouard |
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*** empty log message *** |
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| Revision 1.218 2016/02/12 11:29:23 brouard |
Revision 1.218 2016/02/12 11:29:23 brouard |
| Summary: 0.99 Back projections |
Summary: 0.99 Back projections |
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Line 733 Back prevalence and projections:
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Line 739 Back prevalence and projections:
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| /* #define DEBUGLINMIN */ |
/* #define DEBUGLINMIN */ |
| /* #define DEBUGHESS */ |
/* #define DEBUGHESS */ |
| #define DEBUGHESSIJ |
#define DEBUGHESSIJ |
| /* #define LINMINORIGINAL /\* Don't use loop on scale in linmin (accepting nan)*\/ */ |
#define LINMINORIGINAL /* Don't use loop on scale in linmin (accepting nan)*/ |
| #define POWELL /* Instead of NLOPT */ |
#define POWELL /* Instead of NLOPT */ |
| #define POWELLF1F3 /* Skip test */ |
#define POWELLF1F3 /* Skip test */ |
| /* #define POWELLORIGINAL /\* Don't use Directest to decide new direction but original Powell test *\/ */ |
/* #define POWELLORIGINAL /\* Don't use Directest to decide new direction but original Powell test *\/ */ |
|
Line 976 int *ncodemaxwundef; /* ncodemax[j]= Nu
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Line 982 int *ncodemaxwundef; /* ncodemax[j]= Nu
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| undefined. Usually 3: -1, 0 and 1. */ |
undefined. Usually 3: -1, 0 and 1. */ |
| double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint; |
double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint; |
| double **pmmij, ***probs; /* Global pointer */ |
double **pmmij, ***probs; /* Global pointer */ |
| double ***mobaverage; /* New global variable */ |
double ***mobaverage, ***mobaverages; /* New global variable */ |
| double *ageexmed,*agecens; |
double *ageexmed,*agecens; |
| double dateintmean=0; |
double dateintmean=0; |
| |
|
|
Line 991 int **nbcode, *Tvar; /**< model=V2 => Tv
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Line 997 int **nbcode, *Tvar; /**< model=V2 => Tv
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| int *Tage; |
int *Tage; |
| int *Ndum; /** Freq of modality (tricode */ |
int *Ndum; /** Freq of modality (tricode */ |
| /* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */ |
/* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */ |
| int **Tvard, *Tprod, cptcovprod, *Tvaraff; |
int **Tvard, *Tprod, cptcovprod, *Tvaraff, *invalidvarcomb; |
| double *lsurv, *lpop, *tpop; |
double *lsurv, *lpop, *tpop; |
| |
|
| double ftol=FTOL; /**< Tolerance for computing Max Likelihood */ |
double ftol=FTOL; /**< Tolerance for computing Max Likelihood */ |
|
Line 2286 Earliest age to start was %d-%d=%d, ncvl
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Line 2292 Earliest age to start was %d-%d=%d, ncvl
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| *ncvyear= -( (int)age- (int)agefin); |
*ncvyear= -( (int)age- (int)agefin); |
| /* printf("Back maxmax=%lf ncvloop=%d, age=%d, agefin=%d ncvyear=%d \n", maxmax, ncvloop, (int)age, (int)agefin, *ncvyear);*/ |
/* printf("Back maxmax=%lf ncvloop=%d, age=%d, agefin=%d ncvyear=%d \n", maxmax, ncvloop, (int)age, (int)agefin, *ncvyear);*/ |
| if(maxmax < ftolpl){ |
if(maxmax < ftolpl){ |
| printf("OK Back maxmax=%lf ncvloop=%d, age=%d, agefin=%d ncvyear=%d \n", maxmax, ncvloop, (int)age, (int)agefin, *ncvyear); |
/* printf("OK Back maxmax=%lf ncvloop=%d, age=%d, agefin=%d ncvyear=%d \n", maxmax, ncvloop, (int)age, (int)agefin, *ncvyear); */ |
| free_vector(min,1,nlstate); |
free_vector(min,1,nlstate); |
| free_vector(max,1,nlstate); |
free_vector(max,1,nlstate); |
| free_vector(meandiff,1,nlstate); |
free_vector(meandiff,1,nlstate); |
|
Line 3668 void pstamp(FILE *fichier)
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Line 3674 void pstamp(FILE *fichier)
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| } |
} |
| |
|
| /************ Frequencies ********************/ |
/************ Frequencies ********************/ |
| void freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, \ |
void freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, \ |
| int *Tvaraff, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[],\ |
int *Tvaraff, int *invalidvarcomb, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[], \ |
| int firstpass, int lastpass, int stepm, int weightopt, char model[]) |
int firstpass, int lastpass, int stepm, int weightopt, char model[]) |
| { /* Some frequencies */ |
{ /* Some frequencies */ |
| |
|
| int i, m, jk, j1, bool, z1,j; |
int i, m, jk, j1, bool, z1,j; |
| int mi; /* Effective wave */ |
int iind=0, iage=0; |
| int first; |
int mi; /* Effective wave */ |
| double ***freq; /* Frequencies */ |
int first; |
| double *pp, **prop; |
double ***freq; /* Frequencies */ |
| double pos,posprop, k2, dateintsum=0,k2cpt=0; |
double *pp, **prop, *posprop, *pospropt; |
| char fileresp[FILENAMELENGTH], fileresphtm[FILENAMELENGTH], fileresphtmfr[FILENAMELENGTH]; |
double pos=0., posproptt=0., pospropta=0., k2, dateintsum=0,k2cpt=0; |
| double agebegin, ageend; |
char fileresp[FILENAMELENGTH], fileresphtm[FILENAMELENGTH], fileresphtmfr[FILENAMELENGTH]; |
| |
double agebegin, ageend; |
| pp=vector(1,nlstate); |
|
| prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+3+AGEMARGE); |
pp=vector(1,nlstate); |
| /* prop=matrix(1,nlstate,iagemin,iagemax+3); */ |
prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+3+AGEMARGE); |
| strcpy(fileresp,"P_"); |
posprop=vector(1,nlstate); /* Counting the number of transition starting from a live state per age */ |
| strcat(fileresp,fileresu); |
pospropt=vector(1,nlstate); /* Counting the number of transition starting from a live state */ |
| /*strcat(fileresphtm,fileresu);*/ |
/* prop=matrix(1,nlstate,iagemin,iagemax+3); */ |
| if((ficresp=fopen(fileresp,"w"))==NULL) { |
strcpy(fileresp,"P_"); |
| printf("Problem with prevalence resultfile: %s\n", fileresp); |
strcat(fileresp,fileresu); |
| fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp); |
/*strcat(fileresphtm,fileresu);*/ |
| exit(0); |
if((ficresp=fopen(fileresp,"w"))==NULL) { |
| } |
printf("Problem with prevalence resultfile: %s\n", fileresp); |
| |
fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp); |
| |
exit(0); |
| |
} |
| |
|
| strcpy(fileresphtm,subdirfext(optionfilefiname,"PHTM_",".htm")); |
strcpy(fileresphtm,subdirfext(optionfilefiname,"PHTM_",".htm")); |
| if((ficresphtm=fopen(fileresphtm,"w"))==NULL) { |
if((ficresphtm=fopen(fileresphtm,"w"))==NULL) { |
| printf("Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); |
printf("Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); |
| fprintf(ficlog,"Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); |
fprintf(ficlog,"Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); |
| fflush(ficlog); |
fflush(ficlog); |
| exit(70); |
exit(70); |
| } |
} |
| else{ |
else{ |
| fprintf(ficresphtm,"<html><head>\n<title>IMaCh PHTM_ %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
fprintf(ficresphtm,"<html><head>\n<title>IMaCh PHTM_ %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
| <hr size=\"2\" color=\"#EC5E5E\"> \n\ |
<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
| Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
| fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
| } |
} |
| fprintf(ficresphtm,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies and prevalence by age at begin of transition</h4>\n",fileresphtm, fileresphtm); |
fprintf(ficresphtm,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies and prevalence by age at begin of transition</h4>\n",fileresphtm, fileresphtm); |
| |
|
| strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm")); |
strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm")); |
| if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) { |
if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) { |
| printf("Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); |
printf("Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); |
| fprintf(ficlog,"Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); |
fprintf(ficlog,"Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); |
| fflush(ficlog); |
fflush(ficlog); |
| exit(70); |
exit(70); |
| } |
} |
| else{ |
else{ |
| fprintf(ficresphtmfr,"<html><head>\n<title>IMaCh PHTM_Frequency table %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
fprintf(ficresphtmfr,"<html><head>\n<title>IMaCh PHTM_Frequency table %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
| <hr size=\"2\" color=\"#EC5E5E\"> \n\ |
<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
| Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
| fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
| } |
} |
| fprintf(ficresphtmfr,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies of all effective transitions by age at begin of transition </h4>Unknown status is -1<br/>\n",fileresphtmfr, fileresphtmfr); |
fprintf(ficresphtmfr,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies of all effective transitions by age at begin of transition </h4>Unknown status is -1<br/>\n",fileresphtmfr, fileresphtmfr); |
| |
|
| freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin-AGEMARGE,iagemax+3+AGEMARGE); |
freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin-AGEMARGE,iagemax+3+AGEMARGE); |
| j1=0; |
j1=0; |
| |
|
| j=cptcoveff; |
j=cptcoveff; |
| if (cptcovn<1) {j=1;ncodemax[1]=1;} |
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
| |
|
| first=1; |
first=1; |
| |
|
| |
/* Detects if a combination j1 is empty: for a multinomial variable like 3 education levels: |
| |
reference=low_education V1=0,V2=0 |
| |
med_educ V1=1 V2=0, |
| |
high_educ V1=0 V2=1 |
| |
Then V1=1 and V2=1 is a noisy combination that we want to exclude for the list 2**cptcoveff |
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*/ |
| |
|
| |
for (j1 = 1; j1 <= (int) pow(2,cptcoveff); j1++){ /* Loop on covariates combination */ |
| |
posproptt=0.; |
| |
/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); |
| |
scanf("%d", i);*/ |
| |
for (i=-5; i<=nlstate+ndeath; i++) |
| |
for (jk=-5; jk<=nlstate+ndeath; jk++) |
| |
for(m=iagemin; m <= iagemax+3; m++) |
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freq[i][jk][m]=0; |
| |
|
| |
for (i=1; i<=nlstate; i++) { |
| |
for(m=iagemin; m <= iagemax+3; m++) |
| |
prop[i][m]=0; |
| |
posprop[i]=0; |
| |
pospropt[i]=0; |
| |
} |
| |
|
| |
dateintsum=0; |
| |
k2cpt=0; |
| |
|
| for (j1 = 1; j1 <= (int) pow(2,cptcoveff); j1++){ /* Loop on covariates combination */ |
for (iind=1; iind<=imx; iind++) { /* For each individual iind */ |
| /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); |
bool=1; |
| scanf("%d", i);*/ |
if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
| for (i=-5; i<=nlstate+ndeath; i++) |
for (z1=1; z1<=cptcoveff; z1++) { |
| for (jk=-5; jk<=nlstate+ndeath; jk++) |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){ |
| for(m=iagemin; m <= iagemax+3; m++) |
/* Tests if the value of each of the covariates of i is equal to filter j1 */ |
| freq[i][jk][m]=0; |
bool=0; |
| |
/* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", |
| for (i=1; i<=nlstate; i++) |
|
| for(m=iagemin; m <= iagemax+3; m++) |
|
| prop[i][m]=0; |
|
| |
|
| dateintsum=0; |
|
| k2cpt=0; |
|
| for (i=1; i<=imx; i++) { /* For each individual i */ |
|
| bool=1; |
|
| if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
|
| for (z1=1; z1<=cptcoveff; z1++) |
|
| if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){ |
|
| /* Tests if the value of each of the covariates of i is equal to filter j1 */ |
|
| bool=0; |
|
| /* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", |
|
| bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1), |
bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1), |
| j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/ |
j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/ |
| /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ |
/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ |
| } |
} |
| } /* cptcovn > 0 */ |
} /* end z1 */ |
| |
} /* cptcovn > 0 */ |
| if (bool==1){ |
|
| /* for(m=firstpass; m<=lastpass; m++){ */ |
if (bool==1){ |
| for(mi=1; mi<wav[i];mi++){ |
/* for(m=firstpass; m<=lastpass; m++){ */ |
| m=mw[mi][i]; |
for(mi=1; mi<wav[iind];mi++){ |
| /* dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective (mi) waves m=mw[mi][i] |
m=mw[mi][iind]; |
| and mw[mi+1][i]. dh depends on stepm. */ |
/* dh[m][iind] or dh[mw[mi][iind]][iind] is the delay between two effective (mi) waves m=mw[mi][iind] |
| agebegin=agev[m][i]; /* Age at beginning of wave before transition*/ |
and mw[mi+1][iind]. dh depends on stepm. */ |
| ageend=agev[m][i]+(dh[m][i])*stepm/YEARM; /* Age at end of wave and transition */ |
agebegin=agev[m][iind]; /* Age at beginning of wave before transition*/ |
| if(m >=firstpass && m <=lastpass){ |
ageend=agev[m][iind]+(dh[m][iind])*stepm/YEARM; /* Age at end of wave and transition */ |
| k2=anint[m][i]+(mint[m][i]/12.); |
if(m >=firstpass && m <=lastpass){ |
| /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/ |
k2=anint[m][iind]+(mint[m][iind]/12.); |
| if(agev[m][i]==0) agev[m][i]=iagemax+1; /* All ages equal to 0 are in iagemax+1 */ |
/*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/ |
| if(agev[m][i]==1) agev[m][i]=iagemax+2; /* All ages equal to 1 are in iagemax+2 */ |
if(agev[m][iind]==0) agev[m][iind]=iagemax+1; /* All ages equal to 0 are in iagemax+1 */ |
| if (s[m][i]>0 && s[m][i]<=nlstate) /* If status at wave m is known and a live state */ |
if(agev[m][iind]==1) agev[m][iind]=iagemax+2; /* All ages equal to 1 are in iagemax+2 */ |
| prop[s[m][i]][(int)agev[m][i]] += weight[i]; /* At age of beginning of transition, where status is known */ |
if (s[m][iind]>0 && s[m][iind]<=nlstate) /* If status at wave m is known and a live state */ |
| if (m<lastpass) { |
prop[s[m][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
| /* if(s[m][i]==4 && s[m+1][i]==4) */ |
if (m<lastpass) { |
| /* printf(" num=%ld m=%d, i=%d s1=%d s2=%d agev at m=%d\n", num[i], m, i,s[m][i],s[m+1][i], (int)agev[m][i]); */ |
/* if(s[m][iind]==4 && s[m+1][iind]==4) */ |
| if(s[m][i]==-1) |
/* printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind]); */ |
| printf(" num=%ld m=%d, i=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[i], m, i,s[m][i],s[m+1][i], (int)agev[m][i],agebegin, ageend, (int)((agebegin+ageend)/2.)); |
if(s[m][iind]==-1) |
| freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i]; /* At age of beginning of transition, where status is known */ |
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][i]][s[m+1][i]][(int)((agebegin+ageend)/2.)] += weight[i]; */ |
freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
| freq[s[m][i]][s[m+1][i]][iagemax+3] += weight[i]; /* Total is in iagemax+3 *//* At age of beginning of transition, where status is known */ |
/* freq[s[m][iind]][s[m+1][iind]][(int)((agebegin+ageend)/2.)] += weight[iind]; */ |
| } |
freq[s[m][iind]][s[m+1][iind]][iagemax+3] += weight[iind]; /* Total is in iagemax+3 *//* At age of beginning of transition, where status is known */ |
| } |
} |
| if ((agev[m][i]>1) && (agev[m][i]< (iagemax+3)) && (anint[m][i]!=9999) && (mint[m][i]!=99)) { |
} |
| dateintsum=dateintsum+k2; |
if ((agev[m][iind]>1) && (agev[m][iind]< (iagemax+3)) && (anint[m][iind]!=9999) && (mint[m][iind]!=99)) { |
| k2cpt++; |
dateintsum=dateintsum+k2; |
| /* printf("i=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",i, dateintsum/k2cpt, dateintsum,k2cpt, k2); */ |
k2cpt++; |
| } |
/* printf("iind=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",iind, dateintsum/k2cpt, dateintsum,k2cpt, k2); */ |
| /*}*/ |
} |
| } /* end m */ |
/*}*/ |
| } /* end bool */ |
} /* end m */ |
| } /* end i = 1 to imx */ |
} /* end bool */ |
| |
} /* end iind = 1 to imx */ |
| /* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/ |
/* prop[s][age] is feeded for any initial and valid live state as well as |
| pstamp(ficresp); |
freq[s1][s2][age] at single age of beginning the transition, for a combination j1 */ |
| if (cptcovn>0) { |
|
| fprintf(ficresp, "\n#********** Variable "); |
|
| fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable "); |
/* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/ |
| fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable "); |
pstamp(ficresp); |
| for (z1=1; z1<=cptcoveff; z1++){ |
if (cptcovn>0) { |
| fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresp, "\n#********** Variable "); |
| fprintf(ficresphtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable "); |
| fprintf(ficresphtmfr, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable "); |
| } |
for (z1=1; z1<=cptcoveff; z1++){ |
| fprintf(ficresp, "**********\n#"); |
fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficresphtm, "**********</h3>\n"); |
fprintf(ficresphtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficresphtmfr, "**********</h3>\n"); |
fprintf(ficresphtmfr, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficlog, "\n#********** Variable "); |
} |
| for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresp, "**********\n#"); |
| fprintf(ficlog, "**********\n"); |
fprintf(ficresphtm, "**********</h3>\n"); |
| } |
fprintf(ficresphtmfr, "**********</h3>\n"); |
| fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">"); |
fprintf(ficlog, "\n#********** Variable "); |
| for(i=1; i<=nlstate;i++) { |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i); |
fprintf(ficlog, "**********\n"); |
| fprintf(ficresphtm, "<th>Age</th><th>Prev(%d)</th><th>N(%d)</th><th>N</th>",i,i); |
} |
| } |
fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">"); |
| fprintf(ficresp, "\n"); |
for(i=1; i<=nlstate;i++) { |
| fprintf(ficresphtm, "\n"); |
fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i); |
| |
fprintf(ficresphtm, "<th>Age</th><th>Prev(%d)</th><th>N(%d)</th><th>N</th>",i,i); |
| /* Header of frequency table by age */ |
} |
| fprintf(ficresphtmfr,"<table style=\"text-align:center; border: 1px solid\">"); |
fprintf(ficresp, "\n"); |
| fprintf(ficresphtmfr,"<th>Age</th> "); |
fprintf(ficresphtm, "\n"); |
| for(jk=-1; jk <=nlstate+ndeath; jk++){ |
|
| for(m=-1; m <=nlstate+ndeath; m++){ |
|
| if(jk!=0 && m!=0) |
|
| fprintf(ficresphtmfr,"<th>%d%d</th> ",jk,m); |
|
| } |
|
| } |
|
| fprintf(ficresphtmfr, "\n"); |
|
| |
|
| /* For each age */ |
/* Header of frequency table by age */ |
| for(i=iagemin; i <= iagemax+3; i++){ |
fprintf(ficresphtmfr,"<table style=\"text-align:center; border: 1px solid\">"); |
| fprintf(ficresphtm,"<tr>"); |
fprintf(ficresphtmfr,"<th>Age</th> "); |
| if(i==iagemax+1){ |
for(jk=-1; jk <=nlstate+ndeath; jk++){ |
| fprintf(ficlog,"1"); |
for(m=-1; m <=nlstate+ndeath; m++){ |
| fprintf(ficresphtmfr,"<tr><th>0</th> "); |
if(jk!=0 && m!=0) |
| }else if(i==iagemax+2){ |
fprintf(ficresphtmfr,"<th>%d%d</th> ",jk,m); |
| fprintf(ficlog,"0"); |
} |
| fprintf(ficresphtmfr,"<tr><th>Unknown</th> "); |
} |
| }else if(i==iagemax+3){ |
fprintf(ficresphtmfr, "\n"); |
| fprintf(ficlog,"Total"); |
|
| fprintf(ficresphtmfr,"<tr><th>Total</th> "); |
/* For each age */ |
| }else{ |
for(iage=iagemin; iage <= iagemax+3; iage++){ |
| if(first==1){ |
fprintf(ficresphtm,"<tr>"); |
| first=0; |
if(iage==iagemax+1){ |
| printf("See log file for details...\n"); |
fprintf(ficlog,"1"); |
| } |
fprintf(ficresphtmfr,"<tr><th>0</th> "); |
| fprintf(ficresphtmfr,"<tr><th>%d</th> ",i); |
}else if(iage==iagemax+2){ |
| fprintf(ficlog,"Age %d", i); |
fprintf(ficlog,"0"); |
| } |
fprintf(ficresphtmfr,"<tr><th>Unknown</th> "); |
| for(jk=1; jk <=nlstate ; jk++){ |
}else if(iage==iagemax+3){ |
| for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) |
fprintf(ficlog,"Total"); |
| pp[jk] += freq[jk][m][i]; |
fprintf(ficresphtmfr,"<tr><th>Total</th> "); |
| } |
}else{ |
| for(jk=1; jk <=nlstate ; jk++){ |
if(first==1){ |
| for(m=-1, pos=0; m <=0 ; m++) |
first=0; |
| pos += freq[jk][m][i]; |
printf("See log file for details...\n"); |
| if(pp[jk]>=1.e-10){ |
} |
| if(first==1){ |
fprintf(ficresphtmfr,"<tr><th>%d</th> ",iage); |
| printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); |
fprintf(ficlog,"Age %d", iage); |
| } |
} |
| fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); |
for(jk=1; jk <=nlstate ; jk++){ |
| }else{ |
for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) |
| if(first==1) |
pp[jk] += freq[jk][m][iage]; |
| printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); |
} |
| fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); |
for(jk=1; jk <=nlstate ; jk++){ |
| } |
for(m=-1, pos=0; m <=0 ; m++) |
| } |
pos += freq[jk][m][iage]; |
| |
if(pp[jk]>=1.e-10){ |
| for(jk=1; jk <=nlstate ; jk++){ |
if(first==1){ |
| for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++) |
printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); |
| pp[jk] += freq[jk][m][i]; |
} |
| } |
fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); |
| for(jk=1,pos=0,posprop=0; jk <=nlstate ; jk++){ |
}else{ |
| pos += pp[jk]; |
if(first==1) |
| posprop += prop[jk][i]; |
printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); |
| } |
fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); |
| for(jk=1; jk <=nlstate ; jk++){ |
} |
| if(pos>=1.e-5){ |
} |
| if(first==1) |
|
| printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); |
for(jk=1; jk <=nlstate ; jk++){ |
| fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); |
/* posprop[jk]=0; */ |
| }else{ |
for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)/* Summing on all ages */ |
| if(first==1) |
pp[jk] += freq[jk][m][iage]; |
| printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); |
} /* pp[jk] is the total number of transitions starting from state jk and any ending status until this age */ |
| fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); |
|
| } |
for(jk=1,pos=0, pospropta=0.; jk <=nlstate ; jk++){ |
| if( i <= iagemax){ |
pos += pp[jk]; /* pos is the total number of transitions until this age */ |
| if(pos>=1.e-5){ |
posprop[jk] += prop[jk][iage]; /* prop is the number of transitions from a live state |
| fprintf(ficresp," %d %.5f %.0f %.0f",i,prop[jk][i]/posprop, prop[jk][i],posprop); |
from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ |
| fprintf(ficresphtm,"<th>%d</th><td>%.5f</td><td>%.0f</td><td>%.0f</td>",i,prop[jk][i]/posprop, prop[jk][i],posprop); |
pospropta += prop[jk][iage]; /* prop is the number of transitions from a live state |
| /*probs[i][jk][j1]= pp[jk]/pos;*/ |
from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ |
| /*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/ |
} |
| } |
for(jk=1; jk <=nlstate ; jk++){ |
| else{ |
if(pos>=1.e-5){ |
| fprintf(ficresp," %d NaNq %.0f %.0f",i,prop[jk][i],posprop); |
if(first==1) |
| fprintf(ficresphtm,"<th>%d</th><td>NaNq</td><td>%.0f</td><td>%.0f</td>",i, prop[jk][i],posprop); |
printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); |
| } |
fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); |
| } |
}else{ |
| } |
if(first==1) |
| |
printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); |
| for(jk=-1; jk <=nlstate+ndeath; jk++){ |
fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); |
| for(m=-1; m <=nlstate+ndeath; m++){ |
} |
| if(freq[jk][m][i] !=0 ) { /* minimizing output */ |
if( iage <= iagemax){ |
| if(first==1){ |
if(pos>=1.e-5){ |
| printf(" %d%d=%.0f",jk,m,freq[jk][m][i]); |
fprintf(ficresp," %d %.5f %.0f %.0f",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); |
| } |
fprintf(ficresphtm,"<th>%d</th><td>%.5f</td><td>%.0f</td><td>%.0f</td>",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); |
| fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]); |
/*probs[iage][jk][j1]= pp[jk]/pos;*/ |
| } |
/*printf("\niage=%d jk=%d j1=%d %.5f %.0f %.0f %f",iage,jk,j1,pp[jk]/pos, pp[jk],pos,probs[iage][jk][j1]);*/ |
| if(jk!=0 && m!=0) |
} |
| fprintf(ficresphtmfr,"<td>%.0f</td> ",freq[jk][m][i]); |
else{ |
| } |
fprintf(ficresp," %d NaNq %.0f %.0f",iage,prop[jk][iage],pospropta); |
| } |
fprintf(ficresphtm,"<th>%d</th><td>NaNq</td><td>%.0f</td><td>%.0f</td>",iage, prop[jk][iage],pospropta); |
| fprintf(ficresphtmfr,"</tr>\n "); |
} |
| if(i <= iagemax){ |
} |
| fprintf(ficresp,"\n"); |
pospropt[jk] +=posprop[jk]; |
| fprintf(ficresphtm,"</tr>\n"); |
} /* end loop jk */ |
| } |
/* pospropt=0.; */ |
| if(first==1) |
for(jk=-1; jk <=nlstate+ndeath; jk++){ |
| printf("Others in log...\n"); |
for(m=-1; m <=nlstate+ndeath; m++){ |
| fprintf(ficlog,"\n"); |
if(freq[jk][m][iage] !=0 ) { /* minimizing output */ |
| } /* end loop i */ |
if(first==1){ |
| fprintf(ficresphtm,"</table>\n"); |
printf(" %d%d=%.0f",jk,m,freq[jk][m][iage]); |
| fprintf(ficresphtmfr,"</table>\n"); |
} |
| /*}*/ |
fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][iage]); |
| } /* end j1 */ |
} |
| dateintmean=dateintsum/k2cpt; |
if(jk!=0 && m!=0) |
| |
fprintf(ficresphtmfr,"<td>%.0f</td> ",freq[jk][m][iage]); |
| fclose(ficresp); |
} |
| fclose(ficresphtm); |
} /* end loop jk */ |
| fclose(ficresphtmfr); |
posproptt=0.; |
| free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin-AGEMARGE, iagemax+3+AGEMARGE); |
for(jk=1; jk <=nlstate; jk++){ |
| free_vector(pp,1,nlstate); |
posproptt += pospropt[jk]; |
| free_matrix(prop,1,nlstate,iagemin-AGEMARGE, iagemax+3+AGEMARGE); |
} |
| /* End of Freq */ |
fprintf(ficresphtmfr,"</tr>\n "); |
| } |
if(iage <= iagemax){ |
| |
fprintf(ficresp,"\n"); |
| |
fprintf(ficresphtm,"</tr>\n"); |
| |
} |
| |
if(first==1) |
| |
printf("Others in log...\n"); |
| |
fprintf(ficlog,"\n"); |
| |
} /* end loop age iage */ |
| |
fprintf(ficresphtm,"<tr><th>Tot</th>"); |
| |
for(jk=1; jk <=nlstate ; jk++){ |
| |
if(posproptt < 1.e-5){ |
| |
fprintf(ficresphtm,"<td>Nanq</td><td>%.0f</td><td>%.0f</td>",pospropt[jk],posproptt); |
| |
}else{ |
| |
fprintf(ficresphtm,"<td>%.5f</td><td>%.0f</td><td>%.0f</td>",pospropt[jk]/posproptt,pospropt[jk],posproptt); |
| |
} |
| |
} |
| |
fprintf(ficresphtm,"</tr>\n"); |
| |
fprintf(ficresphtm,"</table>\n"); |
| |
fprintf(ficresphtmfr,"</table>\n"); |
| |
if(posproptt < 1.e-5){ |
| |
fprintf(ficresphtm,"\n <p><b> This combination (%d) is not valid and no result will be produced</b></p>",j1); |
| |
fprintf(ficresphtmfr,"\n <p><b> This combination (%d) is not valid and no result will be produced</b></p>",j1); |
| |
fprintf(ficres,"\n This combination (%d) is not valid and no result will be produced\n\n",j1); |
| |
invalidvarcomb[j1]=1; |
| |
}else{ |
| |
fprintf(ficresphtm,"\n <p> This combination (%d) is valid and result will be produced.</p>",j1); |
| |
invalidvarcomb[j1]=0; |
| |
} |
| |
fprintf(ficresphtmfr,"</table>\n"); |
| |
} /* end selected combination of covariate j1 */ |
| |
dateintmean=dateintsum/k2cpt; |
| |
|
| |
fclose(ficresp); |
| |
fclose(ficresphtm); |
| |
fclose(ficresphtmfr); |
| |
free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin-AGEMARGE, iagemax+3+AGEMARGE); |
| |
free_vector(pospropt,1,nlstate); |
| |
free_vector(posprop,1,nlstate); |
| |
free_matrix(prop,1,nlstate,iagemin-AGEMARGE, iagemax+3+AGEMARGE); |
| |
free_vector(pp,1,nlstate); |
| |
/* End of Freq */ |
| |
} |
| |
|
| /************ Prevalence ********************/ |
/************ Prevalence ********************/ |
| void prevalence(double ***probs, double agemin, double agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, int firstpass, int lastpass) |
void prevalence(double ***probs, double agemin, double agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, int firstpass, int lastpass) |
|
Line 3969 void prevalence(double ***probs, double
|
Line 4024 void prevalence(double ***probs, double
|
| if (cptcovn<1) {j=1;ncodemax[1]=1;} |
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
| |
|
| first=1; |
first=1; |
| for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ |
for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ /* For each combination of covariate */ |
| for (i=1; i<=nlstate; i++) |
for (i=1; i<=nlstate; i++) |
| for(iage=iagemin-AGEMARGE; iage <= iagemax+3+AGEMARGE; iage++) |
for(iage=iagemin-AGEMARGE; iage <= iagemax+3+AGEMARGE; iage++) |
| prop[i][iage]=0.0; |
prop[i][iage]=0.0; |
|
Line 3977 void prevalence(double ***probs, double
|
Line 4032 void prevalence(double ***probs, double
|
| for (i=1; i<=imx; i++) { /* Each individual */ |
for (i=1; i<=imx; i++) { /* Each individual */ |
| bool=1; |
bool=1; |
| if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
| for (z1=1; z1<=cptcoveff; z1++) |
for (z1=1; z1<=cptcoveff; z1++) /* For each covariate, look at the value for individual i and checks if it is equal to the corresponding value of this covariate according to current combination j1*/ |
| if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) |
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) |
| bool=0; |
bool=0; |
| } |
} |
| if (bool==1) { |
if (bool==1) { /* For this combination of covariates values, this individual fits */ |
| /* for(m=firstpass; m<=lastpass; m++){/\* Other selection (we can limit to certain interviews*\/ */ |
/* for(m=firstpass; m<=lastpass; m++){/\* Other selection (we can limit to certain interviews*\/ */ |
| for(mi=1; mi<wav[i];mi++){ |
for(mi=1; mi<wav[i];mi++){ |
| m=mw[mi][i]; |
m=mw[mi][i]; |
|
Line 4219 void concatwav(int wav[], int **dh, int
|
Line 4274 void concatwav(int wav[], int **dh, int
|
| } |
} |
| |
|
| /*********** Tricode ****************************/ |
/*********** Tricode ****************************/ |
| void tricode(int *Tvar, int **nbcode, int imx, int *Ndum) |
void tricode(int *cptcov, int *Tvar, int **nbcode, int imx, int *Ndum) |
| { |
{ |
| /**< Uses cptcovn+2*cptcovprod as the number of covariates */ |
/**< Uses cptcovn+2*cptcovprod as the number of covariates */ |
| /* Tvar[i]=atoi(stre); find 'n' in Vn and stores in Tvar. If model=V2+V1 Tvar[1]=2 and Tvar[2]=1 |
/* Tvar[i]=atoi(stre); find 'n' in Vn and stores in Tvar. If model=V2+V1 Tvar[1]=2 and Tvar[2]=1 |
| * Boring subroutine which should only output nbcode[Tvar[j]][k] |
* Boring subroutine which should only output nbcode[Tvar[j]][k] |
| * Tvar[5] in V2+V1+V3*age+V2*V4 is 2 (V2) |
* Tvar[5] in V2+V1+V3*age+V2*V4 is 2 (V2) |
| * nbcode[Tvar[j]][1]= |
* nbcode[Tvar[5]][1]= nbcode[2][1]=0, nbcode[2][2]=1 (usually); |
| */ |
*/ |
| |
|
| int ij=1, k=0, j=0, i=0, maxncov=NCOVMAX; |
int ij=1, k=0, j=0, i=0, maxncov=NCOVMAX; |
|
Line 4234 void tricode(int *Tvar, int **nbcode, in
|
Line 4289 void tricode(int *Tvar, int **nbcode, in
|
| int modmincovj=0; /* Modality min of covariates j */ |
int modmincovj=0; /* Modality min of covariates j */ |
| |
|
| |
|
| cptcoveff=0; |
/* cptcoveff=0; */ |
| |
*cptcov=0; |
| |
|
| for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */ |
for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */ |
| |
|
|
Line 4242 void tricode(int *Tvar, int **nbcode, in
|
Line 4298 void tricode(int *Tvar, int **nbcode, in
|
| for (j=1; j<=(cptcovs); j++) { /* From model V1 + V2*age+ V3 + V3*V4 keeps V1 + V3 = 2 only */ |
for (j=1; j<=(cptcovs); j++) { /* From model V1 + V2*age+ V3 + V3*V4 keeps V1 + V3 = 2 only */ |
| for (k=-1; k < maxncov; k++) Ndum[k]=0; |
for (k=-1; k < maxncov; k++) Ndum[k]=0; |
| for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the |
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*/ |
modality of this covariate Vj*/ |
| ij=(int)(covar[Tvar[j]][i]); /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i |
ij=(int)(covar[Tvar[j]][i]); /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i |
| * If product of Vn*Vm, still boolean *: |
* If product of Vn*Vm, still boolean *: |
| * If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables |
* If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables |
| * 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0 */ |
* 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0 */ |
| /* Finds for covariate j, n=Tvar[j] of Vn . ij is the |
/* Finds for covariate j, n=Tvar[j] of Vn . ij is the |
| modality of the nth covariate of individual i. */ |
modality of the nth covariate of individual i. */ |
| if (ij > modmaxcovj) |
if (ij > modmaxcovj) |
| modmaxcovj=ij; |
modmaxcovj=ij; |
| else if (ij < modmincovj) |
else if (ij < modmincovj) |
| modmincovj=ij; |
modmincovj=ij; |
| if ((ij < -1) && (ij > NCOVMAX)){ |
if ((ij < -1) && (ij > NCOVMAX)){ |
| printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); |
printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); |
| exit(1); |
exit(1); |
| }else |
}else |
| Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/ |
Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/ |
| /* If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */ |
/* If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */ |
|
Line 4273 void tricode(int *Tvar, int **nbcode, in
|
Line 4329 void tricode(int *Tvar, int **nbcode, in
|
| printf("Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]); |
printf("Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]); |
| fprintf(ficlog, "Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]); |
fprintf(ficlog, "Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]); |
| if( Ndum[k] != 0 ){ /* Counts if nobody answered modality k ie empty modality, we skip it and reorder */ |
if( Ndum[k] != 0 ){ /* Counts if nobody answered modality k ie empty modality, we skip it and reorder */ |
| if( k != -1){ |
if( k != -1){ |
| ncodemax[j]++; /* ncodemax[j]= Number of modalities of the j th |
ncodemax[j]++; /* ncodemax[j]= Number of modalities of the j th |
| covariate for which somebody answered excluding |
covariate for which somebody answered excluding |
| undefined. Usually 2: 0 and 1. */ |
undefined. Usually 2: 0 and 1. */ |
| } |
} |
| ncodemaxwundef[j]++; /* ncodemax[j]= Number of modalities of the j th |
ncodemaxwundef[j]++; /* ncodemax[j]= Number of modalities of the j th |
| covariate for which somebody answered including |
covariate for which somebody answered including |
| undefined. Usually 3: -1, 0 and 1. */ |
undefined. Usually 3: -1, 0 and 1. */ |
| } |
} |
| /* In fact ncodemax[j]=2 (dichotom. variables only) but it could be more for |
/* In fact ncodemax[j]=2 (dichotom. variables only) but it could be more for |
| historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */ |
historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */ |
| } /* Ndum[-1] number of undefined modalities */ |
} /* Ndum[-1] number of undefined modalities */ |
| |
|
| /* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */ |
/* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */ |
| /* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7. |
/* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7. |
| If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125; |
If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125; |
|
Line 4302 void tricode(int *Tvar, int **nbcode, in
|
Line 4358 void tricode(int *Tvar, int **nbcode, in
|
| ij=0; /* ij is similar to i but can jump over null modalities */ |
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*/ |
| if (Ndum[i] == 0) { /* If nobody responded to this modality k */ |
if (Ndum[i] == 0) { /* If nobody responded to this modality k */ |
| break; |
break; |
| } |
} |
| ij++; |
ij++; |
| nbcode[Tvar[j]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality.*/ |
nbcode[Tvar[j]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality.*/ |
| cptcode = ij; /* New max modality for covar j */ |
cptcode = ij; /* New max modality for covar j */ |
|
Line 4324 void tricode(int *Tvar, int **nbcode, in
|
Line 4380 void tricode(int *Tvar, int **nbcode, in
|
| /* } /\* end of loop on modality k *\/ */ |
/* } /\* 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*/ |
} /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/ |
| |
|
| for (k=-1; k< maxncov; k++) Ndum[k]=0; |
for (k=-1; k< maxncov; k++) Ndum[k]=0; |
| |
|
| for (i=1; i<=ncovmodel-2-nagesqr; i++) { /* -2, cste and age and eventually age*age */ |
for (i=1; i<=ncovmodel-2-nagesqr; i++) { /* -2, cste and age and eventually age*age */ |
| /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/ |
/* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/ |
| ij=Tvar[i]; /* Tvar might be -1 if status was unknown */ |
ij=Tvar[i]; /* Tvar might be -1 if status was unknown */ |
| Ndum[ij]++; /* Might be supersed V1 + V1*age */ |
Ndum[ij]++; /* Might be supersed V1 + V1*age */ |
| } |
} |
| |
|
| ij=0; |
ij=0; |
| for (i=0; i<= maxncov-1; i++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ |
for (i=0; i<= maxncov-1; i++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ |
| /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ |
/*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ |
| if((Ndum[i]!=0) && (i<=ncovcol)){ |
if((Ndum[i]!=0) && (i<=ncovcol)){ |
| ij++; |
ij++; |
| /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ |
/*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ |
| Tvaraff[ij]=i; /*For printing (unclear) */ |
Tvaraff[ij]=i; /*For printing (unclear) */ |
| }else{ |
}else{ |
| /* Tvaraff[ij]=0; */ |
/* Tvaraff[ij]=0; */ |
| } |
} |
| } |
} |
| /* ij--; */ |
/* ij--; */ |
| cptcoveff=ij; /*Number of total covariates*/ |
/* cptcoveff=ij; /\*Number of total covariates*\/ */ |
| |
*cptcov=ij; /*Number of total covariates*/ |
| |
|
| } |
} |
| |
|
| |
|
|
Line 5196 To be simple, these graphs help to under
|
Line 5253 To be simple, these graphs help to under
|
| tj = (int) pow(2,cptcoveff); |
tj = (int) pow(2,cptcoveff); |
| if (cptcovn<1) {tj=1;ncodemax[1]=1;} |
if (cptcovn<1) {tj=1;ncodemax[1]=1;} |
| j1=0; |
j1=0; |
| for(j1=1; j1<=tj;j1++){ |
for(j1=1; j1<=tj;j1++){ /* For each valid combination of covariates */ |
| /*for(i1=1; i1<=ncodemax[t];i1++){ */ |
if (cptcovn>0) { |
| /*j1++;*/ |
fprintf(ficresprob, "\n#********** Variable "); |
| if (cptcovn>0) { |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficresprob, "\n#********** Variable "); |
fprintf(ficresprob, "**********\n#\n"); |
| for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresprobcov, "\n#********** Variable "); |
| fprintf(ficresprob, "**********\n#\n"); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficresprobcov, "\n#********** Variable "); |
fprintf(ficresprobcov, "**********\n#\n"); |
| for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
|
| fprintf(ficresprobcov, "**********\n#\n"); |
fprintf(ficgp, "\n#********** Variable "); |
| |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficgp, "\n#********** Variable "); |
fprintf(ficgp, "**********\n#\n"); |
| for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
|
| fprintf(ficgp, "**********\n#\n"); |
|
| |
fprintf(fichtmcov, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable "); |
| |
for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(fichtmcov, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable "); |
fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">"); |
| for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
|
| fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">"); |
fprintf(ficresprobcor, "\n#********** Variable "); |
| |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
| fprintf(ficresprobcor, "\n#********** Variable "); |
fprintf(ficresprobcor, "**********\n#"); |
| for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
if(invalidvarcomb[j1]){ |
| fprintf(ficresprobcor, "**********\n#"); |
fprintf(ficgp,"\n#Combination (%d) ignored because no cases \n",j1); |
| } |
fprintf(fichtmcov,"\n<h3>Combination (%d) ignored because no cases </h3>\n",j1); |
| |
continue; |
| gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath)); |
} |
| trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar); |
} |
| gp=vector(1,(nlstate)*(nlstate+ndeath)); |
gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath)); |
| gm=vector(1,(nlstate)*(nlstate+ndeath)); |
trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar); |
| for (age=bage; age<=fage; age ++){ |
gp=vector(1,(nlstate)*(nlstate+ndeath)); |
| cov[2]=age; |
gm=vector(1,(nlstate)*(nlstate+ndeath)); |
| if(nagesqr==1) |
for (age=bage; age<=fage; age ++){ |
| cov[3]= age*age; |
cov[2]=age; |
| for (k=1; k<=cptcovn;k++) { |
if(nagesqr==1) |
| cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)]; |
cov[3]= age*age; |
| /*cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];*//* j1 1 2 3 4 |
for (k=1; k<=cptcovn;k++) { |
| * 1 1 1 1 1 |
cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)]; |
| * 2 2 1 1 1 |
/*cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];*//* j1 1 2 3 4 |
| * 3 1 2 1 1 |
* 1 1 1 1 1 |
| */ |
* 2 2 1 1 1 |
| /* nbcode[1][1]=0 nbcode[1][2]=1;*/ |
* 3 1 2 1 1 |
| } |
*/ |
| /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ |
/* nbcode[1][1]=0 nbcode[1][2]=1;*/ |
| for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
} |
| for (k=1; k<=cptcovprod;k++) |
/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ |
| cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; |
for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
| |
for (k=1; k<=cptcovprod;k++) |
| |
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; |
| for(theta=1; theta <=npar; theta++){ |
|
| for(i=1; i<=npar; i++) |
|
| xp[i] = x[i] + (i==theta ?delti[theta]:(double)0); |
for(theta=1; theta <=npar; theta++){ |
| |
for(i=1; i<=npar; i++) |
| pmij(pmmij,cov,ncovmodel,xp,nlstate); |
xp[i] = x[i] + (i==theta ?delti[theta]:(double)0); |
| |
|
| k=0; |
pmij(pmmij,cov,ncovmodel,xp,nlstate); |
| for(i=1; i<= (nlstate); i++){ |
|
| for(j=1; j<=(nlstate+ndeath);j++){ |
k=0; |
| k=k+1; |
for(i=1; i<= (nlstate); i++){ |
| gp[k]=pmmij[i][j]; |
for(j=1; j<=(nlstate+ndeath);j++){ |
| } |
k=k+1; |
| } |
gp[k]=pmmij[i][j]; |
| |
} |
| for(i=1; i<=npar; i++) |
} |
| xp[i] = x[i] - (i==theta ?delti[theta]:(double)0); |
|
| |
for(i=1; i<=npar; i++) |
| pmij(pmmij,cov,ncovmodel,xp,nlstate); |
xp[i] = x[i] - (i==theta ?delti[theta]:(double)0); |
| k=0; |
|
| for(i=1; i<=(nlstate); i++){ |
pmij(pmmij,cov,ncovmodel,xp,nlstate); |
| for(j=1; j<=(nlstate+ndeath);j++){ |
k=0; |
| k=k+1; |
for(i=1; i<=(nlstate); i++){ |
| gm[k]=pmmij[i][j]; |
for(j=1; j<=(nlstate+ndeath);j++){ |
| } |
k=k+1; |
| } |
gm[k]=pmmij[i][j]; |
| |
} |
| for(i=1; i<= (nlstate)*(nlstate+ndeath); i++) |
} |
| gradg[theta][i]=(gp[i]-gm[i])/(double)2./delti[theta]; |
|
| } |
for(i=1; i<= (nlstate)*(nlstate+ndeath); i++) |
| |
gradg[theta][i]=(gp[i]-gm[i])/(double)2./delti[theta]; |
| for(j=1; j<=(nlstate)*(nlstate+ndeath);j++) |
} |
| for(theta=1; theta <=npar; theta++) |
|
| trgradg[j][theta]=gradg[theta][j]; |
|
| |
|
| matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov); |
|
| matprod2(doldm,dnewm,1,(nlstate)*(nlstate+ndeath),1,npar,1,(nlstate)*(nlstate+ndeath),gradg); |
|
| |
|
| pmij(pmmij,cov,ncovmodel,x,nlstate); |
for(j=1; j<=(nlstate)*(nlstate+ndeath);j++) |
| |
for(theta=1; theta <=npar; theta++) |
| k=0; |
trgradg[j][theta]=gradg[theta][j]; |
| for(i=1; i<=(nlstate); i++){ |
|
| for(j=1; j<=(nlstate+ndeath);j++){ |
matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov); |
| k=k+1; |
matprod2(doldm,dnewm,1,(nlstate)*(nlstate+ndeath),1,npar,1,(nlstate)*(nlstate+ndeath),gradg); |
| mu[k][(int) age]=pmmij[i][j]; |
|
| } |
pmij(pmmij,cov,ncovmodel,x,nlstate); |
| } |
|
| |
k=0; |
| |
for(i=1; i<=(nlstate); i++){ |
| |
for(j=1; j<=(nlstate+ndeath);j++){ |
| |
k=k+1; |
| |
mu[k][(int) age]=pmmij[i][j]; |
| |
} |
| |
} |
| for(i=1;i<=(nlstate)*(nlstate+ndeath);i++) |
for(i=1;i<=(nlstate)*(nlstate+ndeath);i++) |
| for(j=1;j<=(nlstate)*(nlstate+ndeath);j++) |
for(j=1;j<=(nlstate)*(nlstate+ndeath);j++) |
| varpij[i][j][(int)age] = doldm[i][j]; |
varpij[i][j][(int)age] = doldm[i][j]; |
| |
|
| /*printf("\n%d ",(int)age); |
/*printf("\n%d ",(int)age); |
| for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){ |
for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){ |
| printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); |
printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); |
| fprintf(ficlog,"%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); |
fprintf(ficlog,"%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); |
| }*/ |
}*/ |
| |
|
| fprintf(ficresprob,"\n%d ",(int)age); |
fprintf(ficresprob,"\n%d ",(int)age); |
| fprintf(ficresprobcov,"\n%d ",(int)age); |
fprintf(ficresprobcov,"\n%d ",(int)age); |
| fprintf(ficresprobcor,"\n%d ",(int)age); |
fprintf(ficresprobcor,"\n%d ",(int)age); |
| |
|
| for (i=1; i<=(nlstate)*(nlstate+ndeath);i++) |
for (i=1; i<=(nlstate)*(nlstate+ndeath);i++) |
| fprintf(ficresprob,"%11.3e (%11.3e) ",mu[i][(int) age],sqrt(varpij[i][i][(int)age])); |
fprintf(ficresprob,"%11.3e (%11.3e) ",mu[i][(int) age],sqrt(varpij[i][i][(int)age])); |
| for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){ |
for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){ |
| fprintf(ficresprobcov,"%11.3e ",mu[i][(int) age]); |
fprintf(ficresprobcov,"%11.3e ",mu[i][(int) age]); |
| fprintf(ficresprobcor,"%11.3e ",mu[i][(int) age]); |
fprintf(ficresprobcor,"%11.3e ",mu[i][(int) age]); |
| } |
} |
| i=0; |
i=0; |
| for (k=1; k<=(nlstate);k++){ |
for (k=1; k<=(nlstate);k++){ |
| for (l=1; l<=(nlstate+ndeath);l++){ |
for (l=1; l<=(nlstate+ndeath);l++){ |
| i++; |
i++; |
| fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l); |
fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l); |
| fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l); |
fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l); |
| for (j=1; j<=i;j++){ |
for (j=1; j<=i;j++){ |
| /* printf(" k=%d l=%d i=%d j=%d\n",k,l,i,j);fflush(stdout); */ |
/* printf(" k=%d l=%d i=%d j=%d\n",k,l,i,j);fflush(stdout); */ |
| fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]); |
fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]); |
| fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age])); |
fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age])); |
| } |
} |
| } |
} |
| }/* end of loop for state */ |
}/* end of loop for state */ |
| } /* end of loop for age */ |
} /* end of loop for age */ |
| free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath)); |
free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath)); |
| free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath)); |
free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath)); |
| free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); |
free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); |
| free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); |
free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); |
| |
|
| /* Confidence intervalle of pij */ |
/* Confidence intervalle of pij */ |
| /* |
/* |
| fprintf(ficgp,"\nunset parametric;unset label"); |
fprintf(ficgp,"\nunset parametric;unset label"); |
| fprintf(ficgp,"\nset log y;unset log x; set xlabel \"Age\";set ylabel \"probability (year-1)\""); |
fprintf(ficgp,"\nset log y;unset log x; set xlabel \"Age\";set ylabel \"probability (year-1)\""); |
| fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65"); |
fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65"); |
| fprintf(fichtm,"\n<br>Probability with confidence intervals expressed in year<sup>-1</sup> :<a href=\"pijgr%s.png\">pijgr%s.png</A>, ",optionfilefiname,optionfilefiname); |
fprintf(fichtm,"\n<br>Probability with confidence intervals expressed in year<sup>-1</sup> :<a href=\"pijgr%s.png\">pijgr%s.png</A>, ",optionfilefiname,optionfilefiname); |
| fprintf(fichtm,"\n<br><img src=\"pijgr%s.png\"> ",optionfilefiname); |
fprintf(fichtm,"\n<br><img src=\"pijgr%s.png\"> ",optionfilefiname); |
| fprintf(ficgp,"\nset out \"pijgr%s.png\"",optionfilefiname); |
fprintf(ficgp,"\nset out \"pijgr%s.png\"",optionfilefiname); |
| fprintf(ficgp,"\nplot \"%s\" every :::%d::%d u 1:2 \"\%%lf",k1,k2,xfilevarprob); |
fprintf(ficgp,"\nplot \"%s\" every :::%d::%d u 1:2 \"\%%lf",k1,k2,xfilevarprob); |
| */ |
*/ |
| |
|
| /* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/ |
/* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/ |
| first1=1;first2=2; |
first1=1;first2=2; |
| for (k2=1; k2<=(nlstate);k2++){ |
for (k2=1; k2<=(nlstate);k2++){ |
| for (l2=1; l2<=(nlstate+ndeath);l2++){ |
for (l2=1; l2<=(nlstate+ndeath);l2++){ |
| if(l2==k2) continue; |
if(l2==k2) continue; |
| j=(k2-1)*(nlstate+ndeath)+l2; |
j=(k2-1)*(nlstate+ndeath)+l2; |
| for (k1=1; k1<=(nlstate);k1++){ |
for (k1=1; k1<=(nlstate);k1++){ |
| for (l1=1; l1<=(nlstate+ndeath);l1++){ |
for (l1=1; l1<=(nlstate+ndeath);l1++){ |
| if(l1==k1) continue; |
if(l1==k1) continue; |
| i=(k1-1)*(nlstate+ndeath)+l1; |
i=(k1-1)*(nlstate+ndeath)+l1; |
| if(i<=j) continue; |
if(i<=j) continue; |
| for (age=bage; age<=fage; age ++){ |
for (age=bage; age<=fage; age ++){ |
| if ((int)age %5==0){ |
if ((int)age %5==0){ |
| v1=varpij[i][i][(int)age]/stepm*YEARM/stepm*YEARM; |
v1=varpij[i][i][(int)age]/stepm*YEARM/stepm*YEARM; |
| v2=varpij[j][j][(int)age]/stepm*YEARM/stepm*YEARM; |
v2=varpij[j][j][(int)age]/stepm*YEARM/stepm*YEARM; |
| cv12=varpij[i][j][(int)age]/stepm*YEARM/stepm*YEARM; |
cv12=varpij[i][j][(int)age]/stepm*YEARM/stepm*YEARM; |
| mu1=mu[i][(int) age]/stepm*YEARM ; |
mu1=mu[i][(int) age]/stepm*YEARM ; |
| mu2=mu[j][(int) age]/stepm*YEARM; |
mu2=mu[j][(int) age]/stepm*YEARM; |
| c12=cv12/sqrt(v1*v2); |
c12=cv12/sqrt(v1*v2); |
| /* Computing eigen value of matrix of covariance */ |
/* Computing eigen value of matrix of covariance */ |
| lc1=((v1+v2)+sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.; |
lc1=((v1+v2)+sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.; |
| lc2=((v1+v2)-sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.; |
lc2=((v1+v2)-sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.; |
| if ((lc2 <0) || (lc1 <0) ){ |
if ((lc2 <0) || (lc1 <0) ){ |
| if(first2==1){ |
if(first2==1){ |
| first1=0; |
first1=0; |
| printf("Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS. See log file for details...\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor); |
printf("Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS. See log file for details...\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor); |
| } |
} |
| fprintf(ficlog,"Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS.\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);fflush(ficlog); |
fprintf(ficlog,"Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS.\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);fflush(ficlog); |
| /* lc1=fabs(lc1); */ /* If we want to have them positive */ |
/* lc1=fabs(lc1); */ /* If we want to have them positive */ |
| /* lc2=fabs(lc2); */ |
/* lc2=fabs(lc2); */ |
| } |
} |
| |
|
| /* Eigen vectors */ |
/* Eigen vectors */ |
| v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12)); |
v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12)); |
| /*v21=sqrt(1.-v11*v11); *//* error */ |
/*v21=sqrt(1.-v11*v11); *//* error */ |
| v21=(lc1-v1)/cv12*v11; |
v21=(lc1-v1)/cv12*v11; |
| v12=-v21; |
v12=-v21; |
| v22=v11; |
v22=v11; |
| tnalp=v21/v11; |
tnalp=v21/v11; |
| if(first1==1){ |
if(first1==1){ |
| first1=0; |
first1=0; |
| printf("%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tang %.3f\nOthers in log...\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp); |
printf("%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tang %.3f\nOthers in log...\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp); |
| } |
} |
| fprintf(ficlog,"%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp); |
fprintf(ficlog,"%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp); |
| /*printf(fignu*/ |
/*printf(fignu*/ |
| /* mu1+ v11*lc1*cost + v12*lc2*sin(t) */ |
/* mu1+ v11*lc1*cost + v12*lc2*sin(t) */ |
| /* mu2+ v21*lc1*cost + v22*lc2*sin(t) */ |
/* mu2+ v21*lc1*cost + v22*lc2*sin(t) */ |
| if(first==1){ |
if(first==1){ |
| first=0; |
first=0; |
| fprintf(ficgp,"\n# Ellipsoids of confidence\n#\n"); |
fprintf(ficgp,"\n# Ellipsoids of confidence\n#\n"); |
| fprintf(ficgp,"\nset parametric;unset label"); |
fprintf(ficgp,"\nset parametric;unset label"); |
| fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2); |
fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2); |
| fprintf(ficgp,"\nset ter svg size 640, 480"); |
fprintf(ficgp,"\nset ter svg size 640, 480"); |
| fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\ |
fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\ |
| :<a href=\"%s_%d%1d%1d-%1d%1d.svg\">\ |
:<a href=\"%s_%d%1d%1d-%1d%1d.svg\"> \ |
| %s_%d%1d%1d-%1d%1d.svg</A>, ",k1,l1,k2,l2,\ |
%s_%d%1d%1d-%1d%1d.svg</A>, ",k1,l1,k2,l2,\ |
| subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2,\ |
subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2, \ |
| subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); |
subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); |
| fprintf(fichtmcov,"\n<br><img src=\"%s_%d%1d%1d-%1d%1d.svg\"> ",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); |
fprintf(fichtmcov,"\n<br><img src=\"%s_%d%1d%1d-%1d%1d.svg\"> ",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); |
| fprintf(fichtmcov,"\n<br> Correlation at age %d (%.3f),",(int) age, c12); |
fprintf(fichtmcov,"\n<br> Correlation at age %d (%.3f),",(int) age, c12); |
| fprintf(ficgp,"\nset out \"%s_%d%1d%1d-%1d%1d.svg\"",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); |
fprintf(ficgp,"\nset out \"%s_%d%1d%1d-%1d%1d.svg\"",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); |
| fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2); |
fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2); |
| fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2); |
fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2); |
| fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not",\ |
fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not", \ |
| mu1,std,v11,sqrt(lc1),v12,sqrt(lc2),\ |
mu1,std,v11,sqrt(lc1),v12,sqrt(lc2), \ |
| mu2,std,v21,sqrt(lc1),v22,sqrt(lc2)); |
mu2,std,v21,sqrt(lc1),v22,sqrt(lc2)); |
| }else{ |
}else{ |
| first=0; |
first=0; |
| fprintf(fichtmcov," %d (%.3f),",(int) age, c12); |
fprintf(fichtmcov," %d (%.3f),",(int) age, c12); |
| fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2); |
fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2); |
| fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2); |
fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2); |
| fprintf(ficgp,"\nreplot %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not",\ |
fprintf(ficgp,"\nreplot %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not", \ |
| mu1,std,v11,sqrt(lc1),v12,sqrt(lc2),\ |
mu1,std,v11,sqrt(lc1),v12,sqrt(lc2), \ |
| mu2,std,v21,sqrt(lc1),v22,sqrt(lc2)); |
mu2,std,v21,sqrt(lc1),v22,sqrt(lc2)); |
| }/* if first */ |
}/* if first */ |
| } /* age mod 5 */ |
} /* age mod 5 */ |
| } /* end loop age */ |
} /* end loop age */ |
| fprintf(ficgp,"\nset out;\nset out \"%s_%d%1d%1d-%1d%1d.svg\";replot;set out;",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); |
fprintf(ficgp,"\nset out;\nset out \"%s_%d%1d%1d-%1d%1d.svg\";replot;set out;",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); |
| first=1; |
first=1; |
| } /*l12 */ |
} /*l12 */ |
| } /* k12 */ |
} /* k12 */ |
| } /*l1 */ |
} /*l1 */ |
| }/* k1 */ |
}/* k1 */ |
| /* } */ /* loop covariates */ |
} /* loop on combination of covariates j1 */ |
| } |
|
| free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage); |
free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage); |
| free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage); |
free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage); |
| free_matrix(doldm,1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath)); |
free_matrix(doldm,1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath)); |
|
Line 5485 fprintf(fichtm," \n<ul><li><b>Graphs</b>
|
Line 5543 fprintf(fichtm," \n<ul><li><b>Graphs</b>
|
| |
|
| jj1=0; |
jj1=0; |
| for(k1=1; k1<=m;k1++){ |
for(k1=1; k1<=m;k1++){ |
| |
|
| /* for(i1=1; i1<=ncodemax[k1];i1++){ */ |
/* for(i1=1; i1<=ncodemax[k1];i1++){ */ |
| jj1++; |
jj1++; |
| if (cptcovn > 0) { |
if (cptcovn > 0) { |
| fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
| for (cpt=1; cpt<=cptcoveff;cpt++){ |
for (cpt=1; cpt<=cptcoveff;cpt++){ |
| fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); |
fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); |
| printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); |
printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); |
| } |
} |
| fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
| } |
if(invalidvarcomb[k1]){ |
| /* aij, bij */ |
fprintf(fichtm,"\n<h3>Combination (%d) ignored because no cases </h3>\n",k1); |
| fprintf(fichtm,"<br>- Logit model (yours is: 1+age+%s), for example: logit(pij)=log(pij/pii)= aij+ bij age + V1 age + etc. as a function of age: <a href=\"%s_%d-1.svg\">%s_%d-1.svg</a><br> \ |
printf("\nCombination (%d) ignored because no cases \n",k1); |
| |
continue; |
| |
} |
| |
} |
| |
/* aij, bij */ |
| |
fprintf(fichtm,"<br>- Logit model (yours is: 1+age+%s), for example: logit(pij)=log(pij/pii)= aij+ bij age + V1 age + etc. as a function of age: <a href=\"%s_%d-1.svg\">%s_%d-1.svg</a><br> \ |
| <img src=\"%s_%d-1.svg\">",model,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
<img src=\"%s_%d-1.svg\">",model,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
| /* Pij */ |
/* Pij */ |
| fprintf(fichtm,"<br>\n- P<sub>ij</sub> or conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s_%d-2.svg\">%s_%d-2.svg</a><br> \ |
fprintf(fichtm,"<br>\n- P<sub>ij</sub> or conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s_%d-2.svg\">%s_%d-2.svg</a><br> \ |
| <img src=\"%s_%d-2.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
<img src=\"%s_%d-2.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
| /* Quasi-incidences */ |
/* Quasi-incidences */ |
| fprintf(fichtm,"<br>\n- I<sub>ij</sub> or Conditional probabilities to be observed in state j being in state i %d (stepm) months\ |
fprintf(fichtm,"<br>\n- I<sub>ij</sub> or Conditional probabilities to be observed in state j being in state i %d (stepm) months\ |
| before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too,\ |
before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too, \ |
| incidence (rates) are the limit when h tends to zero of the ratio of the probability <sub>h</sub>P<sub>ij</sub> \ |
incidence (rates) are the limit when h tends to zero of the ratio of the probability <sub>h</sub>P<sub>ij</sub> \ |
| divided by h: <sub>h</sub>P<sub>ij</sub>/h : <a href=\"%s_%d-3.svg\">%s_%d-3.svg</a><br> \ |
divided by h: <sub>h</sub>P<sub>ij</sub>/h : <a href=\"%s_%d-3.svg\">%s_%d-3.svg</a><br> \ |
| <img src=\"%s_%d-3.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
<img src=\"%s_%d-3.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
| /* Survival functions (period) in state j */ |
/* Survival functions (period) in state j */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Survival functions in state %d. Or probability to survive in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Survival functions in state %d. Or probability to survive in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \ |
| <img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1); |
<img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1); |
| } |
} |
| /* State specific survival functions (period) */ |
/* State specific survival functions (period) */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Survival functions from state %d in each live state and total.\ |
fprintf(fichtm,"<br>\n- Survival functions from state %d in each live state and total.\ |
| Or probability to survive in various states (1 to %d) being in state %d at different ages.\ |
Or probability to survive in various states (1 to %d) being in state %d at different ages. \ |
| <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> <img src=\"%s_%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1); |
<a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> <img src=\"%s_%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1); |
| } |
} |
| /* Period (stable) prevalence in each health state */ |
/* Period (stable) prevalence in each health state */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a><br> \ |
| <img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1); |
<img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1); |
| } |
} |
| if(backcast==1){ |
if(backcast==1){ |
| /* Period (stable) back prevalence in each health state */ |
/* Period (stable) back prevalence in each health state */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Convergence to period (stable) back prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Convergence to period (stable) back prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a><br> \ |
| <img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,jj1,subdirf2(optionfilefiname,"PB_"),cpt,jj1,subdirf2(optionfilefiname,"PB_"),cpt,jj1); |
<img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,jj1,subdirf2(optionfilefiname,"PB_"),cpt,jj1,subdirf2(optionfilefiname,"PB_"),cpt,jj1); |
| } |
} |
| } |
} |
| if(prevfcast==1){ |
if(prevfcast==1){ |
| /* Projection of prevalence up to period (stable) prevalence in each health state */ |
/* Projection of prevalence up to period (stable) prevalence in each health state */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f) up to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f) up to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \ |
| <img src=\"%s_%d-%d.svg\">", dateprev1, dateprev2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1); |
<img src=\"%s_%d-%d.svg\">", dateprev1, dateprev2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1); |
| } |
} |
| } |
} |
| |
|
| for(cpt=1; cpt<=nlstate;cpt++) { |
for(cpt=1; cpt<=nlstate;cpt++) { |
| fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s_%d%d.svg\">%s_%d%d.svg</a> <br> \ |
fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s_%d%d.svg\">%s_%d%d.svg</a> <br> \ |
| <img src=\"%s_%d%d.svg\">",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1); |
<img src=\"%s_%d%d.svg\">",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1); |
| } |
} |
| /* } /\* end i1 *\/ */ |
/* } /\* end i1 *\/ */ |
| }/* End k1 */ |
}/* End k1 */ |
| fprintf(fichtm,"</ul>"); |
fprintf(fichtm,"</ul>"); |
|
Line 5599 See page 'Matrix of variance-covariance
|
Line 5663 See page 'Matrix of variance-covariance
|
| |
|
| jj1=0; |
jj1=0; |
| for(k1=1; k1<=m;k1++){ |
for(k1=1; k1<=m;k1++){ |
| /* for(i1=1; i1<=ncodemax[k1];i1++){ */ |
/* for(i1=1; i1<=ncodemax[k1];i1++){ */ |
| jj1++; |
jj1++; |
| if (cptcovn > 0) { |
if (cptcovn > 0) { |
| fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
| for (cpt=1; cpt<=cptcoveff;cpt++) |
for (cpt=1; cpt<=cptcoveff;cpt++) |
| fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); |
fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); |
| fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
| |
|
| |
if(invalidvarcomb[k1]){ |
| |
fprintf(fichtm,"\n<h4>Combination (%d) ignored because no cases </h4>\n",k1); |
| |
continue; |
| |
} |
| } |
} |
| for(cpt=1; cpt<=nlstate;cpt++) { |
for(cpt=1; cpt<=nlstate;cpt++) { |
| fprintf(fichtm,"\n<br>- Observed (cross-sectional) and period (incidence based) \ |
fprintf(fichtm,"\n<br>- Observed (cross-sectional) and period (incidence based) \ |
|
Line 5628 true period expectancies (those weighted
|
Line 5697 true period expectancies (those weighted
|
| void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , int prevfcast, int backcast, char pathc[], double p[]){ |
void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , int prevfcast, int backcast, char pathc[], double p[]){ |
| |
|
| char dirfileres[132],optfileres[132]; |
char dirfileres[132],optfileres[132]; |
| |
char gplotcondition[132]; |
| int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0; |
int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0; |
| int lv=0, vlv=0, kl=0; |
int lv=0, vlv=0, kl=0; |
| int ng=0; |
int ng=0; |
| int vpopbased; |
int vpopbased; |
| |
int ioffset; /* variable offset for columns */ |
| |
|
| /* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */ |
/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */ |
| /* printf("Problem with file %s",optionfilegnuplot); */ |
/* printf("Problem with file %s",optionfilegnuplot); */ |
| /* fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */ |
/* fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */ |
|
Line 5661 true period expectancies (those weighted
|
Line 5733 true period expectancies (those weighted
|
| fprintf(ficgp,"unset log;\n# plot weighted, mean weight should have point size of 0.5\n plot \"%s\"",subdirf(fileresilk)); |
fprintf(ficgp,"unset log;\n# plot weighted, mean weight should have point size of 0.5\n plot \"%s\"",subdirf(fileresilk)); |
| fprintf(ficgp," u 2:($5 == %d && $6==%d ? $10 : 1/0):($12/4.):6 t \"p%d%d\" with points pointtype 7 ps variable lc variable \\\n",i,1,i,1); |
fprintf(ficgp," u 2:($5 == %d && $6==%d ? $10 : 1/0):($12/4.):6 t \"p%d%d\" with points pointtype 7 ps variable lc variable \\\n",i,1,i,1); |
| for (j=2; j<= nlstate+ndeath ; j ++) { |
for (j=2; j<= nlstate+ndeath ; j ++) { |
| fprintf(ficgp,",\\\n \"\" u 2:($5 == %d && $6==%d ? $10 : 1/0):($12/4.):6 t \"p%d%d\" with points pointtype 7 ps variable lc variable ",i,j,i,j); |
fprintf(ficgp,",\\\n \"\" u 2:($5 == %d && $6==%d ? $10 : 1/0):($12/4.):6 t \"p%d%d\" with points pointtype 7 ps variable lc variable ",i,j,i,j); |
| } |
} |
| fprintf(ficgp,";\nset out; unset ylabel;\n"); |
fprintf(ficgp,";\nset out; unset ylabel;\n"); |
| } |
} |
|
Line 5675 true period expectancies (those weighted
|
Line 5747 true period expectancies (those weighted
|
| strcpy(optfileres,"vpl"); |
strcpy(optfileres,"vpl"); |
| /* 1eme*/ |
/* 1eme*/ |
| for (cpt=1; cpt<= nlstate ; cpt ++) { /* For each live state */ |
for (cpt=1; cpt<= nlstate ; cpt ++) { /* For each live state */ |
| for (k1=1; k1<= m ; k1 ++) { /* For each combination of covariate */ |
for (k1=1; k1<= m ; k1 ++) { /* For each valid combination of covariate */ |
| /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ |
/* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ |
| fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files "); |
fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files "); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the value of the covariate corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[lv]][lv]; |
vlv= nbcode[Tvaraff[k]][lv]; /* vlv is the value of the covariate lv, 0 or 1 */ |
| fprintf(ficgp," V%d=%d ",k,vlv); |
/* For each combination of covariate k1 (V1=1, V3=0), we printed the current covariate k and its value vlv */ |
| |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
| } |
} |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| |
if(invalidvarcomb[k1]){ |
| |
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
| |
continue; |
| |
} |
| |
|
| fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1); |
| fprintf(ficgp,"\n#set out \"V_%s_%d-%d.svg\" \n",optionfilefiname,cpt,k1); |
fprintf(ficgp,"\n#set out \"V_%s_%d-%d.svg\" \n",optionfilefiname,cpt,k1); |
| fprintf(ficgp,"set xlabel \"Age\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \n\ |
| set ylabel \"Probability\" \n\ |
set ylabel \"Probability\" \n \ |
| set ter svg size 640, 480\n\ |
set ter svg size 640, 480\n \ |
| plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"%%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1); |
plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"%%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1); |
| |
|
| for (i=1; i<= nlstate ; i ++) { |
for (i=1; i<= nlstate ; i ++) { |
| if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); |
if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); |
| else fprintf(ficgp," %%*lf (%%*lf)"); |
else fprintf(ficgp," %%*lf (%%*lf)"); |
| } |
} |
| fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1); |
fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1); |
| for (i=1; i<= nlstate ; i ++) { |
for (i=1; i<= nlstate ; i ++) { |
| if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); |
if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); |
| else fprintf(ficgp," %%*lf (%%*lf)"); |
else fprintf(ficgp," %%*lf (%%*lf)"); |
| } |
} |
| fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1); |
fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1); |
| for (i=1; i<= nlstate ; i ++) { |
for (i=1; i<= nlstate ; i ++) { |
| if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); |
if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); |
| else fprintf(ficgp," %%*lf (%%*lf)"); |
else fprintf(ficgp," %%*lf (%%*lf)"); |
| } |
} |
| fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence\" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1)); |
fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence\" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1)); |
| if(backcast==1){ |
if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */ |
| fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); |
/* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */ |
| } |
fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1 */ |
| fprintf(ficgp,"\nset out \n"); |
kl=0; |
| |
for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ |
| |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
| |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| |
vlv= nbcode[Tvaraff[k]][lv]; |
| |
kl++; |
| |
/* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ |
| |
/*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ |
| |
/*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */ |
| |
/* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/ |
| |
if(k==cptcoveff){ |
| |
fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' with line ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ |
| |
6+(cpt-1), cpt ); |
| |
}else{ |
| |
fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]); |
| |
kl++; |
| |
} |
| |
} /* end covariate */ |
| |
} |
| |
fprintf(ficgp,"\nset out \n"); |
| } /* k1 */ |
} /* k1 */ |
| } /* cpt */ |
} /* cpt */ |
| /*2 eme*/ |
/*2 eme*/ |
| for (k1=1; k1<= m ; k1 ++) { |
for (k1=1; k1<= m ; k1 ++) { |
| |
|
| fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); |
fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[lv]][lv]; |
vlv= nbcode[Tvaraff[k]][lv]; |
| fprintf(ficgp," V%d=%d ",k,vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
| } |
} |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| |
if(invalidvarcomb[k1]){ |
| fprintf(ficgp,"\nset out \"%s_%d.svg\" \n",subdirf2(optionfilefiname,"E_"),k1); |
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
| for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/ |
continue; |
| if(vpopbased==0) |
} |
| fprintf(ficgp,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage); |
|
| else |
fprintf(ficgp,"\nset out \"%s_%d.svg\" \n",subdirf2(optionfilefiname,"E_"),k1); |
| fprintf(ficgp,"\nreplot "); |
for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/ |
| for (i=1; i<= nlstate+1 ; i ++) { |
if(vpopbased==0) |
| k=2*i; |
fprintf(ficgp,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage); |
| fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ?$4 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1, vpopbased); |
else |
| for (j=1; j<= nlstate+1 ; j ++) { |
fprintf(ficgp,"\nreplot "); |
| if (j==i) fprintf(ficgp," %%lf (%%lf)"); |
for (i=1; i<= nlstate+1 ; i ++) { |
| else fprintf(ficgp," %%*lf (%%*lf)"); |
k=2*i; |
| } |
fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ?$4 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1, vpopbased); |
| if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l lt %d, \\\n",i); |
for (j=1; j<= nlstate+1 ; j ++) { |
| else fprintf(ficgp,"\" t\"LE in state (%d)\" w l lt %d, \\\n",i-1,i+1); |
if (j==i) fprintf(ficgp," %%lf (%%lf)"); |
| fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4-$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased); |
else fprintf(ficgp," %%*lf (%%*lf)"); |
| for (j=1; j<= nlstate+1 ; j ++) { |
} |
| if (j==i) fprintf(ficgp," %%lf (%%lf)"); |
if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l lt %d, \\\n",i); |
| else fprintf(ficgp," %%*lf (%%*lf)"); |
else fprintf(ficgp,"\" t\"LE in state (%d)\" w l lt %d, \\\n",i-1,i+1); |
| } |
fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4-$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased); |
| fprintf(ficgp,"\" t\"\" w l lt 0,"); |
for (j=1; j<= nlstate+1 ; j ++) { |
| fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased); |
if (j==i) fprintf(ficgp," %%lf (%%lf)"); |
| for (j=1; j<= nlstate+1 ; j ++) { |
else fprintf(ficgp," %%*lf (%%*lf)"); |
| if (j==i) fprintf(ficgp," %%lf (%%lf)"); |
} |
| else fprintf(ficgp," %%*lf (%%*lf)"); |
fprintf(ficgp,"\" t\"\" w l lt 0,"); |
| } |
fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased); |
| if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0"); |
for (j=1; j<= nlstate+1 ; j ++) { |
| else fprintf(ficgp,"\" t\"\" w l lt 0,\\\n"); |
if (j==i) fprintf(ficgp," %%lf (%%lf)"); |
| } /* state */ |
else fprintf(ficgp," %%*lf (%%*lf)"); |
| } /* vpopbased */ |
} |
| fprintf(ficgp,"\nset out;set out \"%s_%d.svg\"; replot; set out; \n",subdirf2(optionfilefiname,"E_"),k1); /* Buggy gnuplot */ |
if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0"); |
| |
else fprintf(ficgp,"\" t\"\" w l lt 0,\\\n"); |
| |
} /* state */ |
| |
} /* vpopbased */ |
| |
fprintf(ficgp,"\nset out;set out \"%s_%d.svg\"; replot; set out; \n",subdirf2(optionfilefiname,"E_"),k1); /* Buggy gnuplot */ |
| } /* k1 */ |
} /* k1 */ |
| |
|
| |
|
| /*3eme*/ |
/*3eme*/ |
| for (k1=1; k1<= m ; k1 ++) { |
for (k1=1; k1<= m ; k1 ++) { |
| |
|
| for (cpt=1; cpt<= nlstate ; cpt ++) { |
for (cpt=1; cpt<= nlstate ; cpt ++) { |
| fprintf(ficgp,"\n# 3d: Life expectancy with EXP_ files: cov=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n# 3d: Life expectancy with EXP_ files: cov=%d state=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[lv]][lv]; |
vlv= nbcode[Tvaraff[k]][lv]; |
| fprintf(ficgp," V%d=%d ",k,vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
| } |
} |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| |
if(invalidvarcomb[k1]){ |
| |
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
| |
continue; |
| |
} |
| |
|
| /* k=2+nlstate*(2*cpt-2); */ |
/* k=2+nlstate*(2*cpt-2); */ |
| k=2+(nlstate+1)*(cpt-1); |
k=2+(nlstate+1)*(cpt-1); |
| fprintf(ficgp,"\nset out \"%s_%d%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1); |
| fprintf(ficgp,"set ter svg size 640, 480\n\ |
fprintf(ficgp,"set ter svg size 640, 480\n\ |
| plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),k1-1,k1-1,k,cpt); |
plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),k1-1,k1-1,k,cpt); |
| /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); |
/*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); |
| for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); |
for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); |
| fprintf(ficgp,"\" t \"e%d1\" w l",cpt); |
fprintf(ficgp,"\" t \"e%d1\" w l",cpt); |
| fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); |
fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); |
| for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); |
for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); |
| fprintf(ficgp,"\" t \"e%d1\" w l",cpt); |
fprintf(ficgp,"\" t \"e%d1\" w l",cpt); |
| |
|
| */ |
*/ |
| for (i=1; i< nlstate ; i ++) { |
for (i=1; i< nlstate ; i ++) { |
| fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+i,cpt,i+1); |
fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+i,cpt,i+1); |
| /* fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);*/ |
/* fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);*/ |
| |
|
| } |
} |
| fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+nlstate,cpt); |
fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+nlstate,cpt); |
| } |
} |
| } |
} |
| |
|
| |
/* 4eme */ |
| /* Survival functions (period) from state i in state j by initial state i */ |
/* Survival functions (period) from state i in state j by initial state i */ |
| for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */ |
for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */ |
| |
|
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
| fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[lv]][lv]; |
vlv= nbcode[Tvaraff[k]][lv]; |
| fprintf(ficgp," V%d=%d ",k,vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
| } |
} |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| |
if(invalidvarcomb[k1]){ |
| |
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
| |
continue; |
| |
} |
| |
|
| fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1); |
| fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ |
| set ter svg size 640, 480\n\ |
set ter svg size 640, 480\n \ |
| unset log y\n\ |
unset log y\n \ |
| plot [%.f:%.f] ", ageminpar, agemaxpar); |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
| k=3; |
k=3; |
| for (i=1; i<= nlstate ; i ++){ |
for (i=1; i<= nlstate ; i ++){ |
| if(i==1){ |
if(i==1){ |
| fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
| }else{ |
}else{ |
| fprintf(ficgp,", '' "); |
fprintf(ficgp,", '' "); |
| } |
} |
| l=(nlstate+ndeath)*(i-1)+1; |
l=(nlstate+ndeath)*(i-1)+1; |
| fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); |
fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); |
| for (j=2; j<= nlstate+ndeath ; j ++) |
for (j=2; j<= nlstate+ndeath ; j ++) |
| fprintf(ficgp,"+$%d",k+l+j-1); |
fprintf(ficgp,"+$%d",k+l+j-1); |
| fprintf(ficgp,")) t \"l(%d,%d)\" w l",i,cpt); |
fprintf(ficgp,")) t \"l(%d,%d)\" w l",i,cpt); |
| } /* nlstate */ |
} /* nlstate */ |
| fprintf(ficgp,"\nset out\n"); |
fprintf(ficgp,"\nset out\n"); |
| } /* end cpt state*/ |
} /* end cpt state*/ |
| } /* end covariate */ |
} /* end covariate */ |
| |
|
| |
/* 5eme */ |
| /* Survival functions (period) from state i in state j by final state j */ |
/* Survival functions (period) from state i in state j by final state j */ |
| for (k1=1; k1<= m ; k1 ++) { /* For each covariate if any */ |
for (k1=1; k1<= m ; k1 ++) { /* For each covariate if any */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ |
| |
|
| fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[lv]][lv]; |
vlv= nbcode[Tvaraff[k]][lv]; |
| fprintf(ficgp," V%d=%d ",k,vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
| } |
} |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| |
if(invalidvarcomb[k1]){ |
| |
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
| |
continue; |
| |
} |
| |
|
| fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1); |
| fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ |
| set ter svg size 640, 480\n\ |
set ter svg size 640, 480\n \ |
| unset log y\n\ |
unset log y\n \ |
| plot [%.f:%.f] ", ageminpar, agemaxpar); |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
| k=3; |
k=3; |
| for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ |
for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ |
| if(j==1) |
if(j==1) |
| fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
| else |
else |
| fprintf(ficgp,", '' "); |
fprintf(ficgp,", '' "); |
| l=(nlstate+ndeath)*(cpt-1) +j; |
l=(nlstate+ndeath)*(cpt-1) +j; |
| fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):($%d",k1,k+l); |
fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):($%d",k1,k+l); |
| /* for (i=2; i<= nlstate+ndeath ; i ++) */ |
/* for (i=2; i<= nlstate+ndeath ; i ++) */ |
| /* fprintf(ficgp,"+$%d",k+l+i-1); */ |
/* fprintf(ficgp,"+$%d",k+l+i-1); */ |
| fprintf(ficgp,") t \"l(%d,%d)\" w l",cpt,j); |
fprintf(ficgp,") t \"l(%d,%d)\" w l",cpt,j); |
| } /* nlstate */ |
} /* nlstate */ |
| fprintf(ficgp,", '' "); |
fprintf(ficgp,", '' "); |
| fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):(",k1); |
fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):(",k1); |
| for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ |
for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ |
| l=(nlstate+ndeath)*(cpt-1) +j; |
l=(nlstate+ndeath)*(cpt-1) +j; |
| if(j < nlstate) |
if(j < nlstate) |
| fprintf(ficgp,"$%d +",k+l); |
fprintf(ficgp,"$%d +",k+l); |
| else |
else |
| fprintf(ficgp,"$%d) t\"l(%d,.)\" w l",k+l,cpt); |
fprintf(ficgp,"$%d) t\"l(%d,.)\" w l",k+l,cpt); |
| } |
} |
| fprintf(ficgp,"\nset out\n"); |
fprintf(ficgp,"\nset out\n"); |
| } /* end cpt state*/ |
} /* end cpt state*/ |
| } /* end covariate */ |
} /* end covariate */ |
| |
|
| |
/* 6eme */ |
| /* CV preval stable (period) for each covariate */ |
/* CV preval stable (period) for each covariate */ |
| for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
| |
|
| fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[lv]][lv]; |
vlv= nbcode[Tvaraff[k]][lv]; |
| fprintf(ficgp," V%d=%d ",k,vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
| } |
} |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| |
if(invalidvarcomb[k1]){ |
| |
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
| |
continue; |
| |
} |
| |
|
| fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1); |
| fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ |
|
Line 5900 unset log y\n\
|
Line 6026 unset log y\n\
|
| plot [%.f:%.f] ", ageminpar, agemaxpar); |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
| k=3; /* Offset */ |
k=3; /* Offset */ |
| for (i=1; i<= nlstate ; i ++){ |
for (i=1; i<= nlstate ; i ++){ |
| if(i==1) |
if(i==1) |
| fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
| else |
else |
| fprintf(ficgp,", '' "); |
fprintf(ficgp,", '' "); |
| l=(nlstate+ndeath)*(i-1)+1; |
l=(nlstate+ndeath)*(i-1)+1; |
| fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); |
fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); |
| for (j=2; j<= nlstate ; j ++) |
for (j=2; j<= nlstate ; j ++) |
| fprintf(ficgp,"+$%d",k+l+j-1); |
fprintf(ficgp,"+$%d",k+l+j-1); |
| fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt); |
fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt); |
| } /* nlstate */ |
} /* nlstate */ |
| fprintf(ficgp,"\nset out\n"); |
fprintf(ficgp,"\nset out\n"); |
| } /* end cpt state*/ |
} /* end cpt state*/ |
| } /* end covariate */ |
} /* end covariate */ |
| |
|
| |
|
| |
/* 7eme */ |
| if(backcast == 1){ |
if(backcast == 1){ |
| /* CV back preval stable (period) for each covariate */ |
/* CV back preval stable (period) for each covariate */ |
| for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
| fprintf(ficgp,"\n#\n#\n#CV Back preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#CV Back preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[lv]][lv]; |
vlv= nbcode[Tvaraff[k]][lv]; |
| fprintf(ficgp," V%d=%d ",k,vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
| } |
} |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| |
if(invalidvarcomb[k1]){ |
| fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PB_"),cpt,k1); |
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
| fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ |
continue; |
| set ter svg size 640, 480\n \ |
} |
| unset log y\n \ |
|
| plot [%.f:%.f] ", ageminpar, agemaxpar); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PB_"),cpt,k1); |
| k=3; /* Offset */ |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ |
| for (i=1; i<= nlstate ; i ++){ |
set ter svg size 640, 480\n \ |
| if(i==1) |
unset log y\n \ |
| fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJB_")); |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
| else |
k=3; /* Offset */ |
| fprintf(ficgp,", '' "); |
for (i=1; i<= nlstate ; i ++){ |
| /* l=(nlstate+ndeath)*(i-1)+1; */ |
if(i==1) |
| l=(nlstate+ndeath)*(cpt-1)+1; |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJB_")); |
| /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier *\/ */ |
else |
| /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier *\/ */ |
fprintf(ficgp,", '' "); |
| fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+(cpt-1)+i-1); /* a vérifier */ |
/* l=(nlstate+ndeath)*(i-1)+1; */ |
| /* for (j=2; j<= nlstate ; j ++) */ |
l=(nlstate+ndeath)*(cpt-1)+1; |
| /* fprintf(ficgp,"+$%d",k+l+j-1); */ |
/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier *\/ */ |
| /* /\* fprintf(ficgp,"+$%d",k+l+j-1); *\/ */ |
/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier *\/ */ |
| fprintf(ficgp,") t \"bprev(%d,%d)\" w l",i,cpt); |
fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+(cpt-1)+i-1); /* a vérifier */ |
| } /* nlstate */ |
/* for (j=2; j<= nlstate ; j ++) */ |
| fprintf(ficgp,"\nset out\n"); |
/* fprintf(ficgp,"+$%d",k+l+j-1); */ |
| |
/* /\* fprintf(ficgp,"+$%d",k+l+j-1); *\/ */ |
| |
fprintf(ficgp,") t \"bprev(%d,%d)\" w l",i,cpt); |
| |
} /* nlstate */ |
| |
fprintf(ficgp,"\nset out\n"); |
| } /* end cpt state*/ |
} /* end cpt state*/ |
| } /* end covariate */ |
} /* end covariate */ |
| } /* End if backcast */ |
} /* End if backcast */ |
| |
|
| |
/* 8eme */ |
| if(prevfcast==1){ |
if(prevfcast==1){ |
| /* Projection from cross-sectional to stable (period) for each covariate */ |
/* Projection from cross-sectional to stable (period) for each covariate */ |
| |
|
| for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
| fprintf(ficgp,"\n#\n#\n#Projection of prevalence to stable (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#Projection of prevalence to stable (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ |
for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[lv]][lv]; |
vlv= nbcode[Tvaraff[k]][lv]; |
| fprintf(ficgp," V%d=%d ",k,vlv); |
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
| } |
} |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| |
if(invalidvarcomb[k1]){ |
| fprintf(ficgp,"# hpijx=probability over h years, hp.jx is weighted by observed prev\n "); |
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); |
| fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1); |
continue; |
| fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Prevalence\" \n\ |
} |
| set ter svg size 640, 480\n\ |
|
| unset log y\n\ |
fprintf(ficgp,"# hpijx=probability over h years, hp.jx is weighted by observed prev\n "); |
| |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1); |
| |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Prevalence\" \n\ |
| |
set ter svg size 640, 480\n \ |
| |
unset log y\n \ |
| plot [%.f:%.f] ", ageminpar, agemaxpar); |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
| for (i=1; i<= nlstate+1 ; i ++){ /* nlstate +1 p11 p21 p.1 */ |
for (i=1; i<= nlstate+1 ; i ++){ /* nlstate +1 p11 p21 p.1 */ |
| /*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ |
/*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ |
| /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ |
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ |
| /*# yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ |
/*# yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ |
| /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ |
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ |
| if(i==1){ |
if(i==1){ |
| fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"F_")); |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"F_")); |
| }else{ |
}else{ |
| fprintf(ficgp,",\\\n '' "); |
fprintf(ficgp,",\\\n '' "); |
| } |
} |
| if(cptcoveff ==0){ /* No covariate */ |
if(cptcoveff ==0){ /* No covariate */ |
| fprintf(ficgp," u 2:("); /* Age is in 2 */ |
ioffset=2; /* Age is in 2 */ |
| /*# yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/ |
/*# yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/ |
| /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */ |
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */ |
| if(i==nlstate+1) |
/*# V1 = 1 yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/ |
| fprintf(ficgp," $%d/(1.-$%d)) t 'p.%d' with line ", \ |
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */ |
| 2+(cpt-1)*(nlstate+1)+1+(i-1), 2+1+(i-1)+(nlstate+1)*nlstate,cpt ); |
fprintf(ficgp," u %d:(", ioffset); |
| else |
if(i==nlstate+1) |
| fprintf(ficgp," $%d/(1.-$%d)) t 'p%d%d' with line ", \ |
fprintf(ficgp," $%d/(1.-$%d)) t 'pw.%d' with line ", \ |
| 2+(cpt-1)*(nlstate+1)+1+(i-1), 2+1+(i-1)+(nlstate+1)*nlstate,i,cpt ); |
ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); |
| }else{ |
else |
| fprintf(ficgp,"u 6:(("); /* Age is in 6 */ |
fprintf(ficgp," $%d/(1.-$%d)) t 'p%d%d' with line ", \ |
| /*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ |
ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,i,cpt ); |
| /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ |
}else{ /* more than 2 covariates */ |
| kl=0; |
if(cptcoveff ==1){ |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate */ |
ioffset=4; /* Age is in 4 */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
}else{ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
ioffset=6; /* Age is in 6 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ |
| vlv= nbcode[Tvaraff[lv]][lv]; |
} |
| kl++; |
fprintf(ficgp," u %d:(",ioffset); |
| /* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ |
kl=0; |
| /*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ |
strcpy(gplotcondition,"("); |
| /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate writing the chain of conditions */ |
| /* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/ |
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to combination k1 and covariate k */ |
| if(k==cptcoveff) |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| if(i==nlstate+1) |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| fprintf(ficgp,"$%d==%d && $%d==%d)? $%d/(1.-$%d) : 1/0) t 'p.%d' with line ",kl, k,kl+1,nbcode[Tvaraff[lv]][lv], \ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| 6+(cpt-1)*(nlstate+1)+1+(i-1), 6+1+(i-1)+(nlstate+1)*nlstate,cpt ); |
vlv= nbcode[Tvaraff[k]][lv]; /* Value of the modality of Tvaraff[k] */ |
| else |
kl++; |
| fprintf(ficgp,"$%d==%d && $%d==%d)? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ",kl, k,kl+1,nbcode[Tvaraff[lv]][lv], \ |
sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); |
| 6+(cpt-1)*(nlstate+1)+1+(i-1), 6+1+(i-1)+(nlstate+1)*nlstate,i,cpt ); |
kl++; |
| else{ |
if(k <cptcoveff && cptcoveff>1) |
| fprintf(ficgp,"$%d==%d && $%d==%d && ",kl, k,kl+1,nbcode[Tvaraff[lv]][lv]); |
sprintf(gplotcondition+strlen(gplotcondition)," && "); |
| kl++; |
} |
| } |
strcpy(gplotcondition+strlen(gplotcondition),")"); |
| } /* end covariate */ |
/* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ |
| } /* end if covariate */ |
/*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ |
| } /* nlstate */ |
/*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */ |
| fprintf(ficgp,"\nset out\n"); |
/* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/ |
| } /* end cpt state*/ |
if(i==nlstate+1){ |
| } /* end covariate */ |
fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p.%d' with line ", gplotcondition, \ |
| } /* End if prevfcast */ |
ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); |
| |
}else{ |
| |
fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ", gplotcondition, \ |
| /* proba elementaires */ |
ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset +1+(i-1)+(nlstate+1)*nlstate,i,cpt ); |
| fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n"); |
} |
| |
} /* end if covariate */ |
| |
} /* nlstate */ |
| |
fprintf(ficgp,"\nset out\n"); |
| |
} /* end cpt state*/ |
| |
} /* end covariate */ |
| |
} /* End if prevfcast */ |
| |
|
| |
|
| |
/* proba elementaires */ |
| |
fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n"); |
| for(i=1,jk=1; i <=nlstate; i++){ |
for(i=1,jk=1; i <=nlstate; i++){ |
| fprintf(ficgp,"# initial state %d\n",i); |
fprintf(ficgp,"# initial state %d\n",i); |
| for(k=1; k <=(nlstate+ndeath); k++){ |
for(k=1; k <=(nlstate+ndeath); k++){ |
|
Line 6175 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 6323 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
| |
|
| |
|
| /*************** Moving average **************/ |
/*************** Moving average **************/ |
| /* int movingaverage(double ***probs, double bage, double fage, double ***mobaverage, int mobilav, double bageout, double fageout){ */ |
/* int movingaverage(double ***probs, double bage, double fage, double ***mobaverage, int mobilav, double bageout, double fageout){ */ |
| int movingaverage(double ***probs, double bage, double fage, double ***mobaverage, int mobilav){ |
int movingaverage(double ***probs, double bage, double fage, double ***mobaverage, int mobilav){ |
| |
|
| int i, cpt, cptcod; |
int i, cpt, cptcod; |
| int modcovmax =1; |
int modcovmax =1; |
| int mobilavrange, mob; |
int mobilavrange, mob; |
| double age; |
|
| int iage=0; |
int iage=0; |
| |
|
| |
double sum=0.; |
| |
double age; |
| double *sumnewp, *sumnewm; |
double *sumnewp, *sumnewm; |
| double *agemingood, *agemaxgood; /* Currently identical for all covariates */ |
double *agemingood, *agemaxgood; /* Currently identical for all covariates */ |
| |
|
| sumnewp = vector(1,modcovmax); |
|
| sumnewm = vector(1,modcovmax); |
|
| agemingood = vector(1,modcovmax); |
|
| agemaxgood = vector(1,modcovmax); |
|
| |
|
| |
|
| modcovmax=2*cptcoveff;/* Max number of modalities. We suppose |
/* modcovmax=2*cptcoveff;/\* Max number of modalities. We suppose */ |
| a covariate has 2 modalities, should be equal to ncovcombmax */ |
/* a covariate has 2 modalities, should be equal to ncovcombmax *\/ */ |
| if (cptcovn<1) modcovmax=1; /* At least 1 pass */ |
|
| |
sumnewp = vector(1,ncovcombmax); |
| |
sumnewm = vector(1,ncovcombmax); |
| |
agemingood = vector(1,ncovcombmax); |
| |
agemaxgood = vector(1,ncovcombmax); |
| |
|
| |
for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ |
| |
sumnewm[cptcod]=0.; |
| |
sumnewp[cptcod]=0.; |
| |
agemingood[cptcod]=0; |
| |
agemaxgood[cptcod]=0; |
| |
} |
| |
if (cptcovn<1) ncovcombmax=1; /* At least 1 pass */ |
| |
|
| if(mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){ |
if(mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){ |
| if(mobilav==1) mobilavrange=5; /* default */ |
if(mobilav==1) mobilavrange=5; /* default */ |
| else mobilavrange=mobilav; |
else mobilavrange=mobilav; |
| for (age=bage; age<=fage; age++) |
for (age=bage; age<=fage; age++) |
| for (i=1; i<=nlstate;i++) |
for (i=1; i<=nlstate;i++) |
| for (cptcod=1;cptcod<=modcovmax;cptcod++) |
for (cptcod=1;cptcod<=ncovcombmax;cptcod++) |
| mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod]; |
mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod]; |
| /* We keep the original values on the extreme ages bage, fage and for |
/* We keep the original values on the extreme ages bage, fage and for |
| fage+1 and bage-1 we use a 3 terms moving average; for fage+2 bage+2 |
fage+1 and bage-1 we use a 3 terms moving average; for fage+2 bage+2 |
| we use a 5 terms etc. until the borders are no more concerned. |
we use a 5 terms etc. until the borders are no more concerned. |
| */ |
*/ |
| for (mob=3;mob <=mobilavrange;mob=mob+2){ |
for (mob=3;mob <=mobilavrange;mob=mob+2){ |
| for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ |
for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ |
| for (i=1; i<=nlstate;i++){ |
for (i=1; i<=nlstate;i++){ |
| for (cptcod=1;cptcod<=modcovmax;cptcod++){ |
for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ |
| mobaverage[(int)age][i][cptcod] =probs[(int)age][i][cptcod]; |
mobaverage[(int)age][i][cptcod] =probs[(int)age][i][cptcod]; |
| for (cpt=1;cpt<=(mob-1)/2;cpt++){ |
for (cpt=1;cpt<=(mob-1)/2;cpt++){ |
| mobaverage[(int)age][i][cptcod] +=probs[(int)age-cpt][i][cptcod]; |
mobaverage[(int)age][i][cptcod] +=probs[(int)age-cpt][i][cptcod]; |
| mobaverage[(int)age][i][cptcod] +=probs[(int)age+cpt][i][cptcod]; |
mobaverage[(int)age][i][cptcod] +=probs[(int)age+cpt][i][cptcod]; |
| } |
} |
| mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/mob; |
mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/mob; |
| } |
} |
| } |
} |
| }/* end age */ |
}/* end age */ |
| }/* end mob */ |
}/* end mob */ |
| }else |
}else |
| return -1; |
return -1; |
| for (cptcod=1;cptcod<=modcovmax;cptcod++){ |
for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ |
| /* for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ */ |
/* for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ */ |
| agemingood[cptcod]=fage+(mob-1)/2; |
agemingood[cptcod]=fage-(mob-1)/2; |
| for (age=fage-(mob-1)/2; age>=bage; age--){/* From oldest to youngest, finding the youngest wrong */ |
for (age=fage-(mob-1)/2; age>=bage; age--){/* From oldest to youngest, finding the youngest wrong */ |
| sumnewm[cptcod]=0.; |
sumnewm[cptcod]=0.; |
| for (i=1; i<=nlstate;i++){ |
for (i=1; i<=nlstate;i++){ |
| sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; |
sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; |
| } |
} |
| if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */ |
if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */ |
| agemingood[cptcod]=age; |
agemingood[cptcod]=age; |
| }else{ /* bad */ |
}else{ /* bad */ |
| for (i=1; i<=nlstate;i++){ |
for (i=1; i<=nlstate;i++){ |
| mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; |
mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; |
| } /* i */ |
} /* i */ |
| } /* end bad */ |
} /* end bad */ |
| }/* age */ |
}/* age */ |
| /* From youngest, finding the oldest wrong */ |
sum=0.; |
| agemaxgood[cptcod]=bage+(mob-1)/2; |
for (i=1; i<=nlstate;i++){ |
| for (age=bage+(mob-1)/2; age<=fage; age++){ |
sum+=mobaverage[(int)agemingood[cptcod]][i][cptcod]; |
| sumnewm[cptcod]=0.; |
|
| for (i=1; i<=nlstate;i++){ |
|
| sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; |
|
| } |
|
| if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */ |
|
| agemaxgood[cptcod]=age; |
|
| }else{ /* bad */ |
|
| for (i=1; i<=nlstate;i++){ |
|
| mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; |
|
| } /* i */ |
|
| } /* end bad */ |
|
| }/* age */ |
|
| for (age=bage; age<=fage; age++){ |
|
| printf("%d %d ", cptcod, (int)age); |
|
| sumnewp[cptcod]=0.; |
|
| sumnewm[cptcod]=0.; |
|
| for (i=1; i<=nlstate;i++){ |
|
| sumnewp[cptcod]+=probs[(int)age][i][cptcod]; |
|
| sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; |
|
| printf("%.4f %.4f ",probs[(int)age][i][cptcod], mobaverage[(int)age][i][cptcod]); |
|
| } |
|
| printf("%.4f %.4f \n",sumnewp[cptcod], sumnewm[cptcod]); |
|
| } |
} |
| printf("\n"); |
if(fabs(sum - 1.) > 1.e-3) { /* bad */ |
| |
printf("For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one at any descending age!\n",cptcod); |
| |
/* for (i=1; i<=nlstate;i++){ */ |
| |
/* mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; */ |
| |
/* } /\* i *\/ */ |
| |
} /* end bad */ |
| |
/* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */ |
| |
/* From youngest, finding the oldest wrong */ |
| |
agemaxgood[cptcod]=bage+(mob-1)/2; |
| |
for (age=bage+(mob-1)/2; age<=fage; age++){ |
| |
sumnewm[cptcod]=0.; |
| |
for (i=1; i<=nlstate;i++){ |
| |
sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; |
| |
} |
| |
if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */ |
| |
agemaxgood[cptcod]=age; |
| |
}else{ /* bad */ |
| |
for (i=1; i<=nlstate;i++){ |
| |
mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; |
| |
} /* i */ |
| |
} /* end bad */ |
| |
}/* age */ |
| |
sum=0.; |
| |
for (i=1; i<=nlstate;i++){ |
| |
sum+=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; |
| |
} |
| |
if(fabs(sum - 1.) > 1.e-3) { /* bad */ |
| |
printf("For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one at any ascending age!\n",cptcod); |
| |
/* for (i=1; i<=nlstate;i++){ */ |
| |
/* mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; */ |
| |
/* } /\* i *\/ */ |
| |
} /* end bad */ |
| |
|
| |
for (age=bage; age<=fage; age++){ |
| |
printf("%d %d ", cptcod, (int)age); |
| |
sumnewp[cptcod]=0.; |
| |
sumnewm[cptcod]=0.; |
| |
for (i=1; i<=nlstate;i++){ |
| |
sumnewp[cptcod]+=probs[(int)age][i][cptcod]; |
| |
sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; |
| |
/* printf("%.4f %.4f ",probs[(int)age][i][cptcod], mobaverage[(int)age][i][cptcod]); */ |
| |
} |
| |
/* printf("%.4f %.4f \n",sumnewp[cptcod], sumnewm[cptcod]); */ |
| |
} |
| |
/* printf("\n"); */ |
| |
/* } */ |
| /* brutal averaging */ |
/* brutal averaging */ |
| for (i=1; i<=nlstate;i++){ |
for (i=1; i<=nlstate;i++){ |
| for (age=1; age<=bage; age++){ |
for (age=1; age<=bage; age++){ |
| mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; |
mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; |
| printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); |
/* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); */ |
| } |
} |
| for (age=fage; age<=AGESUP; age++){ |
for (age=fage; age<=AGESUP; age++){ |
| mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; |
mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; |
| printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); |
/* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); */ |
| } |
} |
| } /* end i status */ |
} /* end i status */ |
| for (i=nlstate+1; i<=nlstate+ndeath;i++){ |
for (i=nlstate+1; i<=nlstate+ndeath;i++){ |
| for (age=1; age<=AGESUP; age++){ |
for (age=1; age<=AGESUP; age++){ |
| /*printf("i=%d, age=%d, cptcod=%d\n",i, (int)age, cptcod);*/ |
/*printf("i=%d, age=%d, cptcod=%d\n",i, (int)age, cptcod);*/ |
| mobaverage[(int)age][i][cptcod]=0.; |
mobaverage[(int)age][i][cptcod]=0.; |
| } |
} |
| } |
} |
| }/* end cptcod */ |
}/* end cptcod */ |
| free_vector(sumnewm,1, modcovmax); |
free_vector(sumnewm,1, ncovcombmax); |
| free_vector(sumnewp,1, modcovmax); |
free_vector(sumnewp,1, ncovcombmax); |
| free_vector(agemaxgood,1, modcovmax); |
free_vector(agemaxgood,1, ncovcombmax); |
| free_vector(agemingood,1, modcovmax); |
free_vector(agemingood,1, ncovcombmax); |
| return 0; |
return 0; |
| }/* End movingaverage */ |
}/* End movingaverage */ |
| |
|
|
Line 6358 void prevforecast(char fileres[], double
|
Line 6538 void prevforecast(char fileres[], double
|
| k=k+1; |
k=k+1; |
| fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#"); |
fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#"); |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| } |
} |
| fprintf(ficresf," yearproj age"); |
fprintf(ficresf," yearproj age"); |
| for(j=1; j<=nlstate+ndeath;j++){ |
for(j=1; j<=nlstate+ndeath;j++){ |
| for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
| fprintf(ficresf," p%d%d",i,j); |
fprintf(ficresf," p%d%d",i,j); |
| fprintf(ficresf," p.%d",j); |
fprintf(ficresf," wp.%d",j); |
| } |
} |
| for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { |
for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { |
| fprintf(ficresf,"\n"); |
fprintf(ficresf,"\n"); |
| fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp); |
fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp); |
| for (agec=fage; agec>=(ageminpar-1); agec--){ |
for (agec=fage; agec>=(ageminpar-1); agec--){ |
| nhstepm=(int) rint((agelim-agec)*YEARM/stepm); |
nhstepm=(int) rint((agelim-agec)*YEARM/stepm); |
| nhstepm = nhstepm/hstepm; |
nhstepm = nhstepm/hstepm; |
| p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| oldm=oldms;savm=savms; |
oldm=oldms;savm=savms; |
| hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k); |
hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k); |
| |
|
| for (h=0; h<=nhstepm; h++){ |
for (h=0; h<=nhstepm; h++){ |
| if (h*hstepm/YEARM*stepm ==yearp) { |
if (h*hstepm/YEARM*stepm ==yearp) { |
| fprintf(ficresf,"\n"); |
fprintf(ficresf,"\n"); |
| for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm); |
fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm); |
| } |
} |
| for(j=1; j<=nlstate+ndeath;j++) { |
for(j=1; j<=nlstate+ndeath;j++) { |
| ppij=0.; |
ppij=0.; |
| for(i=1; i<=nlstate;i++) { |
for(i=1; i<=nlstate;i++) { |
| if (mobilav==1) |
if (mobilav==1) |
| ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][cptcod]; |
ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][cptcod]; |
| else { |
else { |
| ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][cptcod]; |
ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][cptcod]; |
| } |
} |
| if (h*hstepm/YEARM*stepm== yearp) { |
if (h*hstepm/YEARM*stepm== yearp) { |
| fprintf(ficresf," %.3f", p3mat[i][j][h]); |
fprintf(ficresf," %.3f", p3mat[i][j][h]); |
| } |
} |
| } /* end i */ |
} /* end i */ |
| if (h*hstepm/YEARM*stepm==yearp) { |
if (h*hstepm/YEARM*stepm==yearp) { |
| fprintf(ficresf," %.3f", ppij); |
fprintf(ficresf," %.3f", ppij); |
| } |
} |
| }/* end j */ |
}/* end j */ |
| } /* end h */ |
} /* end h */ |
| free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| } /* end agec */ |
} /* end agec */ |
| } /* end yearp */ |
} /* end yearp */ |
| } /* end cptcod */ |
} /* end cptcod */ |
| } /* end cptcov */ |
} /* end cptcov */ |
| |
|
| fclose(ficresf); |
fclose(ficresf); |
| printf("End of Computing forecasting \n"); |
printf("End of Computing forecasting \n"); |
| fprintf(ficlog,"End of Computing forecasting\n"); |
fprintf(ficlog,"End of Computing forecasting\n"); |
|
Line 6843 double gompertz(double x[])
|
Line 7023 double gompertz(double x[])
|
| double A,B,L=0.0,sump=0.,num=0.; |
double A,B,L=0.0,sump=0.,num=0.; |
| int i,n=0; /* n is the size of the sample */ |
int i,n=0; /* n is the size of the sample */ |
| |
|
| for (i=0;i<=imx-1 ; i++) { |
for (i=1;i<=imx ; i++) { |
| sump=sump+weight[i]; |
sump=sump+weight[i]; |
| /* sump=sump+1;*/ |
/* sump=sump+1;*/ |
| num=num+1; |
num=num+1; |
|
Line 7656 void syscompilerinfo(int logged)
|
Line 7836 void syscompilerinfo(int logged)
|
| #endif |
#endif |
| |
|
| |
|
| } |
} |
| |
|
| int prevalence_limit(double *p, double **prlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp){ |
int prevalence_limit(double *p, double **prlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp){ |
| /*--------------- Prevalence limit (period or stable prevalence) --------------*/ |
/*--------------- Prevalence limit (period or stable prevalence) --------------*/ |
| int i, j, k, i1 ; |
int i, j, k, i1 ; |
| /* double ftolpl = 1.e-10; */ |
/* double ftolpl = 1.e-10; */ |
|
Line 7679 void syscompilerinfo(int logged)
|
Line 7859 void syscompilerinfo(int logged)
|
| for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i); |
for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i); |
| fprintf(ficrespl,"\n"); |
fprintf(ficrespl,"\n"); |
| |
|
| /* prlim=matrix(1,nlstate,1,nlstate);*/ /* back in main */ |
/* prlim=matrix(1,nlstate,1,nlstate);*/ /* back in main */ |
| |
|
| agebase=ageminpar; |
agebase=ageminpar; |
| agelim=agemaxpar; |
agelim=agemaxpar; |
| |
|
| i1=pow(2,cptcoveff); |
i1=pow(2,cptcoveff); |
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
for(k=1; k<=i1;k++){ |
| |
/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
| /* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ |
/* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ |
| //for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ |
//for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ |
| k=k+1; |
/* k=k+1; */ |
| /* to clean */ |
/* to clean */ |
| //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); |
//printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); |
| fprintf(ficrespl,"#******"); |
fprintf(ficrespl,"#******"); |
| printf("#******"); |
printf("#******"); |
| fprintf(ficlog,"#******"); |
fprintf(ficlog,"#******"); |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| } |
} |
| fprintf(ficrespl,"******\n"); |
fprintf(ficrespl,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
| fprintf(ficlog,"******\n"); |
fprintf(ficlog,"******\n"); |
| |
if(invalidvarcomb[k]){ |
| fprintf(ficrespl,"#Age "); |
printf("\nCombination (%d) ignored because no cases \n",k); |
| for(j=1;j<=cptcoveff;j++) { |
fprintf(ficrespl,"#Combination (%d) ignored because no cases \n",k); |
| fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficlog,"\nCombination (%d) ignored because no cases \n",k); |
| } |
continue; |
| for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); |
} |
| fprintf(ficrespl,"Total Years_to_converge\n"); |
|
| |
fprintf(ficrespl,"#Age "); |
| |
for(j=1;j<=cptcoveff;j++) { |
| |
fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| |
} |
| |
for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); |
| |
fprintf(ficrespl,"Total Years_to_converge\n"); |
| |
|
| for (age=agebase; age<=agelim; age++){ |
for (age=agebase; age<=agelim; age++){ |
| /* for (age=agebase; age<=agebase; age++){ */ |
/* for (age=agebase; age<=agebase; age++){ */ |
| prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k); |
prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k); |
| fprintf(ficrespl,"%.0f ",age ); |
fprintf(ficrespl,"%.0f ",age ); |
| for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| tot=0.; |
tot=0.; |
| for(i=1; i<=nlstate;i++){ |
for(i=1; i<=nlstate;i++){ |
| tot += prlim[i][i]; |
tot += prlim[i][i]; |
| fprintf(ficrespl," %.5f", prlim[i][i]); |
fprintf(ficrespl," %.5f", prlim[i][i]); |
| } |
} |
| fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp); |
fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp); |
| } /* Age */ |
} /* Age */ |
| /* was end of cptcod */ |
/* was end of cptcod */ |
| } /* cptcov */ |
} /* cptcov */ |
| return 0; |
return 0; |
| } |
} |
| |
|
| int back_prevalence_limit(double *p, double **bprlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp, double dateprev1,double dateprev2, int firstpass, int lastpass, int mobilavproj){ |
int back_prevalence_limit(double *p, double **bprlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp, double dateprev1,double dateprev2, int firstpass, int lastpass, int mobilavproj){ |
|
Line 7766 int back_prevalence_limit(double *p, dou
|
Line 7953 int back_prevalence_limit(double *p, dou
|
| |
|
| i1=pow(2,cptcoveff); |
i1=pow(2,cptcoveff); |
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
for(k=1; k<=i1;k++){ |
| |
/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
| /* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ |
/* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ |
| //for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ |
//for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ |
| k=k+1; |
/* k=k+1; */ |
| /* to clean */ |
/* to clean */ |
| //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); |
//printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); |
| fprintf(ficresplb,"#******"); |
fprintf(ficresplb,"#******"); |
|
Line 7784 int back_prevalence_limit(double *p, dou
|
Line 7972 int back_prevalence_limit(double *p, dou
|
| fprintf(ficresplb,"******\n"); |
fprintf(ficresplb,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
| fprintf(ficlog,"******\n"); |
fprintf(ficlog,"******\n"); |
| |
if(invalidvarcomb[k]){ |
| |
printf("\nCombination (%d) ignored because no cases \n",k); |
| |
fprintf(ficresplb,"#Combination (%d) ignored because no cases \n",k); |
| |
fprintf(ficlog,"\nCombination (%d) ignored because no cases \n",k); |
| |
continue; |
| |
} |
| |
|
| fprintf(ficresplb,"#Age "); |
fprintf(ficresplb,"#Age "); |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
|
Line 7798 int back_prevalence_limit(double *p, dou
|
Line 7992 int back_prevalence_limit(double *p, dou
|
| if(mobilavproj > 0){ |
if(mobilavproj > 0){ |
| /* bprevalim(bprlim, mobaverage, nlstate, p, age, ageminpar, agemaxpar, oldm, savm, doldm, dsavm, ftolpl, ncvyearp, k); */ |
/* bprevalim(bprlim, mobaverage, nlstate, p, age, ageminpar, agemaxpar, oldm, savm, doldm, dsavm, ftolpl, ncvyearp, k); */ |
| /* bprevalim(bprlim, mobaverage, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ |
/* bprevalim(bprlim, mobaverage, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ |
| bprevalim(bprlim, mobaverage, nlstate, p, age, ftolpl, ncvyearp, k); |
bprevalim(bprlim, mobaverage, nlstate, p, age, ftolpl, ncvyearp, k); |
| }else if (mobilavproj == 0){ |
}else if (mobilavproj == 0){ |
| printf("There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); |
printf("There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); |
| fprintf(ficlog,"There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); |
fprintf(ficlog,"There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); |
| exit(1); |
exit(1); |
| }else{ |
}else{ |
| /* bprevalim(bprlim, probs, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ |
/* bprevalim(bprlim, probs, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ |
| bprevalim(bprlim, probs, nlstate, p, age, ftolpl, ncvyearp, k); |
bprevalim(bprlim, probs, nlstate, p, age, ftolpl, ncvyearp, k); |
| } |
} |
| fprintf(ficresplb,"%.0f ",age ); |
fprintf(ficresplb,"%.0f ",age ); |
| for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| tot=0.; |
tot=0.; |
| for(i=1; i<=nlstate;i++){ |
for(i=1; i<=nlstate;i++){ |
| tot += bprlim[i][i]; |
tot += bprlim[i][i]; |
| fprintf(ficresplb," %.5f", bprlim[i][i]); |
fprintf(ficresplb," %.5f", bprlim[i][i]); |
| } |
} |
| fprintf(ficresplb," %.3f %d\n", tot, *ncvyearp); |
fprintf(ficresplb," %.3f %d\n", tot, *ncvyearp); |
| } /* Age */ |
} /* Age */ |
|
Line 8004 int main(int argc, char *argv[])
|
Line 8198 int main(int argc, char *argv[])
|
| double agedeb=0.; |
double agedeb=0.; |
| |
|
| double ageminpar=AGEOVERFLOW,agemin=AGEOVERFLOW, agemaxpar=-AGEOVERFLOW, agemax=-AGEOVERFLOW; |
double ageminpar=AGEOVERFLOW,agemin=AGEOVERFLOW, agemaxpar=-AGEOVERFLOW, agemax=-AGEOVERFLOW; |
| double ageminout=-AGEOVERFLOW,agemaxout=AGEOVERFLOW; /* Smaller Age range redefined after movingaverage */ |
double ageminout=-AGEOVERFLOW,agemaxout=AGEOVERFLOW; /* Smaller Age range redefined after movingaverage */ |
| |
|
| double fret; |
double fret; |
| double dum=0.; /* Dummy variable */ |
double dum=0.; /* Dummy variable */ |
|
Line 8354 int main(int argc, char *argv[])
|
Line 8548 int main(int argc, char *argv[])
|
| fclose (ficlog); |
fclose (ficlog); |
| goto end; |
goto end; |
| exit(0); |
exit(0); |
| } |
} else if(mle==-5) { /* Main Wizard */ |
| else if(mle==-3) { /* Main Wizard */ |
|
| prwizard(ncovmodel, nlstate, ndeath, model, ficparo); |
prwizard(ncovmodel, nlstate, ndeath, model, ficparo); |
| printf(" You chose mle=-3, look at file %s for a template of covariance matrix \n",filereso); |
printf(" You chose mle=-3, look at file %s for a template of covariance matrix \n",filereso); |
| fprintf(ficlog," You chose mle=-3, look at file %s for a template of covariance matrix \n",filereso); |
fprintf(ficlog," You chose mle=-3, look at file %s for a template of covariance matrix \n",filereso); |
| param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); |
param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); |
| matcov=matrix(1,npar,1,npar); |
matcov=matrix(1,npar,1,npar); |
| hess=matrix(1,npar,1,npar); |
hess=matrix(1,npar,1,npar); |
| } |
} else{ /* Begin of mle != -1 or -5 */ |
| else{ |
|
| /* Read guessed parameters */ |
/* Read guessed parameters */ |
| /* Reads comments: lines beginning with '#' */ |
/* Reads comments: lines beginning with '#' */ |
| while((c=getc(ficpar))=='#' && c!= EOF){ |
while((c=getc(ficpar))=='#' && c!= EOF){ |
|
Line 8378 int main(int argc, char *argv[])
|
Line 8570 int main(int argc, char *argv[])
|
| |
|
| param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); |
param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); |
| for(i=1; i <=nlstate; i++){ |
for(i=1; i <=nlstate; i++){ |
| j=0; |
j=0; |
| for(jj=1; jj <=nlstate+ndeath; jj++){ |
for(jj=1; jj <=nlstate+ndeath; jj++){ |
| if(jj==i) continue; |
if(jj==i) continue; |
| j++; |
j++; |
| fscanf(ficpar,"%1d%1d",&i1,&j1); |
fscanf(ficpar,"%1d%1d",&i1,&j1); |
| if ((i1 != i) || (j1 != jj)){ |
if ((i1 != i) || (j1 != jj)){ |
| printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \ |
printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \ |
| It might be a problem of design; if ncovcol and the model are correct\n \ |
It might be a problem of design; if ncovcol and the model are correct\n \ |
| run imach with mle=-1 to get a correct template of the parameter file.\n",numlinepar, i,j, i1, j1); |
run imach with mle=-1 to get a correct template of the parameter file.\n",numlinepar, i,j, i1, j1); |
| exit(1); |
exit(1); |
| } |
} |
| fprintf(ficparo,"%1d%1d",i1,j1); |
fprintf(ficparo,"%1d%1d",i1,j1); |
| if(mle==1) |
if(mle==1) |
| printf("%1d%1d",i,jj); |
printf("%1d%1d",i,jj); |
| fprintf(ficlog,"%1d%1d",i,jj); |
fprintf(ficlog,"%1d%1d",i,jj); |
| for(k=1; k<=ncovmodel;k++){ |
for(k=1; k<=ncovmodel;k++){ |
| fscanf(ficpar," %lf",¶m[i][j][k]); |
fscanf(ficpar," %lf",¶m[i][j][k]); |
| if(mle==1){ |
if(mle==1){ |
| printf(" %lf",param[i][j][k]); |
printf(" %lf",param[i][j][k]); |
| fprintf(ficlog," %lf",param[i][j][k]); |
fprintf(ficlog," %lf",param[i][j][k]); |
| } |
} |
| else |
else |
| fprintf(ficlog," %lf",param[i][j][k]); |
fprintf(ficlog," %lf",param[i][j][k]); |
| fprintf(ficparo," %lf",param[i][j][k]); |
fprintf(ficparo," %lf",param[i][j][k]); |
| } |
} |
| fscanf(ficpar,"\n"); |
fscanf(ficpar,"\n"); |
| numlinepar++; |
numlinepar++; |
| if(mle==1) |
if(mle==1) |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| fprintf(ficparo,"\n"); |
fprintf(ficparo,"\n"); |
| } |
} |
| } |
} |
| fflush(ficlog); |
fflush(ficlog); |
|
Line 8429 run imach with mle=-1 to get a correct t
|
Line 8621 run imach with mle=-1 to get a correct t
|
| |
|
| for(i=1; i <=nlstate; i++){ |
for(i=1; i <=nlstate; i++){ |
| for(j=1; j <=nlstate+ndeath-1; j++){ |
for(j=1; j <=nlstate+ndeath-1; j++){ |
| fscanf(ficpar,"%1d%1d",&i1,&j1); |
fscanf(ficpar,"%1d%1d",&i1,&j1); |
| if ( (i1-i) * (j1-j) != 0){ |
if ( (i1-i) * (j1-j) != 0){ |
| printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1); |
printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1); |
| exit(1); |
exit(1); |
| } |
} |
| printf("%1d%1d",i,j); |
printf("%1d%1d",i,j); |
| fprintf(ficparo,"%1d%1d",i1,j1); |
fprintf(ficparo,"%1d%1d",i1,j1); |
| fprintf(ficlog,"%1d%1d",i1,j1); |
fprintf(ficlog,"%1d%1d",i1,j1); |
| for(k=1; k<=ncovmodel;k++){ |
for(k=1; k<=ncovmodel;k++){ |
| fscanf(ficpar,"%le",&delti3[i][j][k]); |
fscanf(ficpar,"%le",&delti3[i][j][k]); |
| printf(" %le",delti3[i][j][k]); |
printf(" %le",delti3[i][j][k]); |
| fprintf(ficparo," %le",delti3[i][j][k]); |
fprintf(ficparo," %le",delti3[i][j][k]); |
| fprintf(ficlog," %le",delti3[i][j][k]); |
fprintf(ficlog," %le",delti3[i][j][k]); |
| } |
} |
| fscanf(ficpar,"\n"); |
fscanf(ficpar,"\n"); |
| numlinepar++; |
numlinepar++; |
| printf("\n"); |
printf("\n"); |
| fprintf(ficparo,"\n"); |
fprintf(ficparo,"\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| } |
} |
| } |
} |
| fflush(ficlog); |
fflush(ficlog); |
| |
|
| /* Reads covariance matrix */ |
/* Reads covariance matrix */ |
| delti=delti3[1][1]; |
delti=delti3[1][1]; |
| |
|
| |
|
| /* free_ma3x(delti3,1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); */ /* Hasn't to to freed here otherwise delti is no more allocated */ |
/* free_ma3x(delti3,1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); */ /* Hasn't to to freed here otherwise delti is no more allocated */ |
| |
|
| /* Reads comments: lines beginning with '#' */ |
/* Reads comments: lines beginning with '#' */ |
| while((c=getc(ficpar))=='#' && c!= EOF){ |
while((c=getc(ficpar))=='#' && c!= EOF){ |
| ungetc(c,ficpar); |
ungetc(c,ficpar); |
|
Line 8468 run imach with mle=-1 to get a correct t
|
Line 8660 run imach with mle=-1 to get a correct t
|
| fputs(line,ficlog); |
fputs(line,ficlog); |
| } |
} |
| ungetc(c,ficpar); |
ungetc(c,ficpar); |
| |
|
| matcov=matrix(1,npar,1,npar); |
matcov=matrix(1,npar,1,npar); |
| hess=matrix(1,npar,1,npar); |
hess=matrix(1,npar,1,npar); |
| for(i=1; i <=npar; i++) |
for(i=1; i <=npar; i++) |
| for(j=1; j <=npar; j++) matcov[i][j]=0.; |
for(j=1; j <=npar; j++) matcov[i][j]=0.; |
| |
|
| /* Scans npar lines */ |
/* Scans npar lines */ |
| for(i=1; i <=npar; i++){ |
for(i=1; i <=npar; i++){ |
| count=fscanf(ficpar,"%1d%1d%1d",&i1,&j1,&jk); |
count=fscanf(ficpar,"%1d%1d%1d",&i1,&j1,&jk); |
| if(count != 3){ |
if(count != 3){ |
| printf("Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\ |
printf("Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\ |
| This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\ |
This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\ |
| Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model); |
Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model); |
| fprintf(ficlog,"Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\ |
fprintf(ficlog,"Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\ |
| This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\ |
This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\ |
| Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model); |
Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model); |
| exit(1); |
exit(1); |
| }else |
}else{ |
| if(mle==1) |
if(mle==1) |
| printf("%1d%1d%1d",i1,j1,jk); |
printf("%1d%1d%1d",i1,j1,jk); |
| |
} |
| fprintf(ficlog,"%1d%1d%1d",i1,j1,jk); |
fprintf(ficlog,"%1d%1d%1d",i1,j1,jk); |
| fprintf(ficparo,"%1d%1d%1d",i1,j1,jk); |
fprintf(ficparo,"%1d%1d%1d",i1,j1,jk); |
| for(j=1; j <=i; j++){ |
for(j=1; j <=i; j++){ |
| fscanf(ficpar," %le",&matcov[i][j]); |
fscanf(ficpar," %le",&matcov[i][j]); |
| if(mle==1){ |
if(mle==1){ |
| printf(" %.5le",matcov[i][j]); |
printf(" %.5le",matcov[i][j]); |
| } |
} |
| fprintf(ficlog," %.5le",matcov[i][j]); |
fprintf(ficlog," %.5le",matcov[i][j]); |
| fprintf(ficparo," %.5le",matcov[i][j]); |
fprintf(ficparo," %.5le",matcov[i][j]); |
| } |
} |
| fscanf(ficpar,"\n"); |
fscanf(ficpar,"\n"); |
| numlinepar++; |
numlinepar++; |
| if(mle==1) |
if(mle==1) |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| fprintf(ficparo,"\n"); |
fprintf(ficparo,"\n"); |
| } |
} |
| /* End of read covariance matrix npar lines */ |
/* End of read covariance matrix npar lines */ |
| for(i=1; i <=npar; i++) |
for(i=1; i <=npar; i++) |
| for(j=i+1;j<=npar;j++) |
for(j=i+1;j<=npar;j++) |
| matcov[i][j]=matcov[j][i]; |
matcov[i][j]=matcov[j][i]; |
| |
|
| if(mle==1) |
if(mle==1) |
| printf("\n"); |
printf("\n"); |
|
Line 8536 Please run with mle=-1 to get a correct
|
Line 8729 Please run with mle=-1 to get a correct
|
| annais=vector(1,n); |
annais=vector(1,n); |
| moisdc=vector(1,n); |
moisdc=vector(1,n); |
| andc=vector(1,n); |
andc=vector(1,n); |
| |
weight=vector(1,n); |
| agedc=vector(1,n); |
agedc=vector(1,n); |
| cod=ivector(1,n); |
cod=ivector(1,n); |
| weight=vector(1,n); |
for(i=1;i<=n;i++){ |
| for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */ |
num[i]=0; |
| |
moisnais[i]=0; |
| |
annais[i]=0; |
| |
moisdc[i]=0; |
| |
andc[i]=0; |
| |
agedc[i]=0; |
| |
cod[i]=0; |
| |
weight[i]=1.0; /* Equal weights, 1 by default */ |
| |
} |
| mint=matrix(1,maxwav,1,n); |
mint=matrix(1,maxwav,1,n); |
| anint=matrix(1,maxwav,1,n); |
anint=matrix(1,maxwav,1,n); |
| s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */ |
s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */ |
|
Line 8636 Please run with mle=-1 to get a correct
|
Line 8838 Please run with mle=-1 to get a correct
|
| free_vector(andc,1,n); |
free_vector(andc,1,n); |
| |
|
| /* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */ |
/* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */ |
| |
|
| nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); |
nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); |
| ncodemax[1]=1; |
ncodemax[1]=1; |
| Ndum =ivector(-1,NCOVMAX); |
Ndum =ivector(-1,NCOVMAX); |
| if (ncovmodel-nagesqr > 2 ) /* That is if covariate other than cst, age and age*age */ |
cptcoveff=0; |
| tricode(Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */ |
if (ncovmodel-nagesqr > 2 ){ /* That is if covariate other than cst, age and age*age */ |
| |
tricode(&cptcoveff,Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */ |
| |
} |
| |
|
| |
ncovcombmax=pow(2,cptcoveff); |
| |
invalidvarcomb=ivector(1, ncovcombmax); |
| |
for(i=1;i<ncovcombmax;i++) |
| |
invalidvarcomb[i]=0; |
| |
|
| /* Nbcode gives the value of the lth modality (currently 1 to 2) of jth covariate, in |
/* Nbcode gives the value of the lth modality (currently 1 to 2) of jth covariate, in |
| V2+V1*age, there are 3 covariates Tvar[2]=1 (V1).*/ |
V2+V1*age, there are 3 covariates Tvar[2]=1 (V1).*/ |
| /* 1 to ncodemax[j] which is the maximum value of this jth covariate */ |
/* 1 to ncodemax[j] which is the maximum value of this jth covariate */ |
|
Line 8657 Please run with mle=-1 to get a correct
|
Line 8866 Please run with mle=-1 to get a correct
|
| */ |
*/ |
| |
|
| h=0; |
h=0; |
| |
|
| |
|
| /*if (cptcovn > 0) */ |
/*if (cptcovn > 0) */ |
| |
|
| |
|
| m=pow(2,cptcoveff); |
m=pow(2,cptcoveff); |
| |
|
| /**< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) + 1 |
/**< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) + 1 |
|
Line 8702 Please run with mle=-1 to get a correct
|
Line 8907 Please run with mle=-1 to get a correct
|
| * bbbbbbbb |
* bbbbbbbb |
| * 76543210 |
* 76543210 |
| * h-1 00000101 (6-1=5) |
* h-1 00000101 (6-1=5) |
| *(h-1)>>(k-1)= 00000001 >> (2-1) = 1 right shift |
*(h-1)>>(k-1)= 00000010 >> (2-1) = 1 right shift |
| * & |
* & |
| * 1 00000001 (1) |
* 1 00000001 (1) |
| * 00000001 = 1 & ((h-1) >> (k-1)) |
* 00000000 = 1 & ((h-1) >> (k-1)) |
| * +1= 00000010 =2 |
* +1= 00000001 =1 |
| * |
* |
| * h=14, k=3 => h'=h-1=13, k'=k-1=2 |
* h=14, k=3 => h'=h-1=13, k'=k-1=2 |
| * h' 1101 =2^3+2^2+0x2^1+2^0 |
* h' 1101 =2^3+2^2+0x2^1+2^0 |
|
Line 8728 Please run with mle=-1 to get a correct
|
Line 8933 Please run with mle=-1 to get a correct
|
| * 2211 |
* 2211 |
| * V1=1+1, V2=0+1, V3=1+1, V4=1+1 |
* V1=1+1, V2=0+1, V3=1+1, V4=1+1 |
| * V3=2 |
* V3=2 |
| |
* codtabm and decodtabm are identical |
| */ |
*/ |
| |
|
| /* /\* for(h=1; h <=100 ;h++){ *\/ */ |
|
| /* /\* printf("h=%2d ", h); *\/ */ |
|
| /* /\* for(k=1; k <=10; k++){ *\/ */ |
|
| /* /\* printf("k=%d %d ",k,codtabm(h,k)); *\/ */ |
|
| /* /\* codtab[h][k]=codtabm(h,k); *\/ */ |
|
| /* /\* } *\/ */ |
|
| /* /\* printf("\n"); *\/ */ |
|
| /* } */ |
|
| /* for(k=1;k<=cptcoveff; k++){ /\* scans any effective covariate *\/ */ |
|
| /* for(i=1; i <=pow(2,cptcoveff-k);i++){ /\* i=1 to 8/1=8; i=1 to 8/2=4; i=1 to 8/8=1 *\/ */ |
|
| /* for(j=1; j <= ncodemax[k]; j++){ /\* For each modality of this covariate ncodemax=2*\/ */ |
|
| /* for(cpt=1; cpt <=pow(2,k-1); cpt++){ /\* cpt=1 to 8/2**(3+1-1 or 3+1-3) =1 or 4 *\/ */ |
|
| /* h++; */ |
|
| /* if (h>m) */ |
|
| /* h=1; */ |
|
| /* codtab[h][k]=j; */ |
|
| /* /\* codtab[12][3]=1; *\/ */ |
|
| /* /\*codtab[h][Tvar[k]]=j;*\/ */ |
|
| /* /\* printf("h=%d k=%d j=%d codtab[h][k]=%d Tvar[k]=%d codtab[h][Tvar[k]]=%d \n",h, k,j,codtab[h][k],Tvar[k],codtab[h][Tvar[k]]); *\/ */ |
|
| /* } */ |
|
| /* } */ |
|
| /* } */ |
|
| /* } */ |
|
| /* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]); |
|
| codtab[1][2]=1;codtab[2][2]=2; */ |
|
| /* for(i=1; i <=m ;i++){ */ |
|
| /* for(k=1; k <=cptcovn; k++){ */ |
|
| /* printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff); */ |
|
| /* } */ |
|
| /* printf("\n"); */ |
|
| /* } */ |
|
| /* scanf("%d",i);*/ |
|
| |
|
| free_ivector(Ndum,-1,NCOVMAX); |
free_ivector(Ndum,-1,NCOVMAX); |
| |
|
|
Line 8836 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 9010 Title=%s <br>Datafile=%s Firstpass=%d La
|
| #endif |
#endif |
| |
|
| |
|
| /* Calculates basic frequencies. Computes observed prevalence at single age |
/* Calculates basic frequencies. Computes observed prevalence at single age |
| |
and for any valid combination of covariates |
| and prints on file fileres'p'. */ |
and prints on file fileres'p'. */ |
| freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart,\ |
freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx, Tvaraff, invalidvarcomb, nbcode, ncodemax,mint,anint,strstart, \ |
| firstpass, lastpass, stepm, weightopt, model); |
firstpass, lastpass, stepm, weightopt, model); |
| |
|
| fprintf(fichtm,"\n"); |
fprintf(fichtm,"\n"); |
|
Line 8847 Youngest age at first (selected) pass %.
|
Line 9022 Youngest age at first (selected) pass %.
|
| Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n",\ |
Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n",\ |
| imx,agemin,agemax,jmin,jmax,jmean); |
imx,agemin,agemax,jmin,jmax,jmean); |
| pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ |
pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ |
| oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ |
oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ |
| newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ |
newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ |
| savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ |
savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ |
| oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */ |
oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */ |
| |
|
| /* For Powell, parameters are in a vector p[] starting at p[1] |
/* For Powell, parameters are in a vector p[] starting at p[1] |
| so we point p on param[1][1] so that p[1] maps on param[1][1][1] */ |
so we point p on param[1][1] so that p[1] maps on param[1][1][1] */ |
|
Line 8860 Interval (in months) between two waves:
|
Line 9035 Interval (in months) between two waves:
|
| /* For mortality only */ |
/* For mortality only */ |
| if (mle==-3){ |
if (mle==-3){ |
| ximort=matrix(1,NDIM,1,NDIM); |
ximort=matrix(1,NDIM,1,NDIM); |
| |
for(i=1;i<=NDIM;i++) |
| |
for(j=1;j<=NDIM;j++) |
| |
ximort[i][j]=0.; |
| /* ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */ |
/* ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */ |
| cens=ivector(1,n); |
cens=ivector(1,n); |
| ageexmed=vector(1,n); |
ageexmed=vector(1,n); |
|
Line 9008 Interval (in months) between two waves:
|
Line 9186 Interval (in months) between two waves:
|
| |
|
| for(i=1; i <=NDIM; i++) |
for(i=1; i <=NDIM; i++) |
| for(j=i+1;j<=NDIM;j++) |
for(j=i+1;j<=NDIM;j++) |
| matcov[i][j]=matcov[j][i]; |
matcov[i][j]=matcov[j][i]; |
| |
|
| printf("\nCovariance matrix\n "); |
printf("\nCovariance matrix\n "); |
| fprintf(ficlog,"\nCovariance matrix\n "); |
fprintf(ficlog,"\nCovariance matrix\n "); |
| for(i=1; i <=NDIM; i++) { |
for(i=1; i <=NDIM; i++) { |
| for(j=1;j<=NDIM;j++){ |
for(j=1;j<=NDIM;j++){ |
| printf("%f ",matcov[i][j]); |
printf("%f ",matcov[i][j]); |
| fprintf(ficlog,"%f ",matcov[i][j]); |
fprintf(ficlog,"%f ",matcov[i][j]); |
| } |
} |
| printf("\n "); fprintf(ficlog,"\n "); |
printf("\n "); fprintf(ficlog,"\n "); |
| } |
} |
|
Line 9056 Interval (in months) between two waves:
|
Line 9234 Interval (in months) between two waves:
|
| |
|
| |
|
| replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */ |
replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */ |
| |
ageminpar=50; |
| |
agemaxpar=100; |
| if(ageminpar == AGEOVERFLOW ||agemaxpar == AGEOVERFLOW){ |
if(ageminpar == AGEOVERFLOW ||agemaxpar == AGEOVERFLOW){ |
| printf("Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ |
printf("Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ |
| This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ |
This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ |
|
Line 9063 Please run with mle=-1 to get a correct
|
Line 9243 Please run with mle=-1 to get a correct
|
| fprintf(ficlog,"Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ |
fprintf(ficlog,"Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ |
| This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ |
This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ |
| Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar); |
Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar); |
| }else |
}else{ |
| |
printf("Warning! ageminpar %f and agemaxpar %f have been fixed because for simplification until it is fixed...\n\n",ageminpar,agemaxpar); |
| |
fprintf(ficlog,"Warning! ageminpar %f and agemaxpar %f have been fixed because for simplification until it is fixed...\n\n",ageminpar,agemaxpar); |
| printinggnuplotmort(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p); |
printinggnuplotmort(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p); |
| |
} |
| printinghtmlmort(fileresu,title,datafile, firstpass, lastpass, \ |
printinghtmlmort(fileresu,title,datafile, firstpass, lastpass, \ |
| stepm, weightopt,\ |
stepm, weightopt,\ |
| model,imx,p,matcov,agemortsup); |
model,imx,p,matcov,agemortsup); |
|
Line 9072 Please run with mle=-1 to get a correct
|
Line 9255 Please run with mle=-1 to get a correct
|
| free_vector(lsurv,1,AGESUP); |
free_vector(lsurv,1,AGESUP); |
| free_vector(lpop,1,AGESUP); |
free_vector(lpop,1,AGESUP); |
| free_vector(tpop,1,AGESUP); |
free_vector(tpop,1,AGESUP); |
| #ifdef GSL |
free_matrix(ximort,1,NDIM,1,NDIM); |
| free_ivector(cens,1,n); |
free_ivector(cens,1,n); |
| free_vector(agecens,1,n); |
free_vector(agecens,1,n); |
| free_ivector(dcwave,1,n); |
free_ivector(dcwave,1,n); |
| free_matrix(ximort,1,NDIM,1,NDIM); |
#ifdef GSL |
| #endif |
#endif |
| } /* Endof if mle==-3 mortality only */ |
} /* Endof if mle==-3 mortality only */ |
| /* Standard */ |
/* Standard */ |
|
Line 9113 Please run with mle=-1 to get a correct
|
Line 9296 Please run with mle=-1 to get a correct
|
| fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); |
fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); |
| for(i=1,jk=1; i <=nlstate; i++){ |
for(i=1,jk=1; i <=nlstate; i++){ |
| for(k=1; k <=(nlstate+ndeath); k++){ |
for(k=1; k <=(nlstate+ndeath); k++){ |
| if (k != i) { |
if (k != i) { |
| printf("%d%d ",i,k); |
printf("%d%d ",i,k); |
| fprintf(ficlog,"%d%d ",i,k); |
fprintf(ficlog,"%d%d ",i,k); |
| fprintf(ficres,"%1d%1d ",i,k); |
fprintf(ficres,"%1d%1d ",i,k); |
| for(j=1; j <=ncovmodel; j++){ |
for(j=1; j <=ncovmodel; j++){ |
| printf("%12.7f ",p[jk]); |
printf("%12.7f ",p[jk]); |
| fprintf(ficlog,"%12.7f ",p[jk]); |
fprintf(ficlog,"%12.7f ",p[jk]); |
| fprintf(ficres,"%12.7f ",p[jk]); |
fprintf(ficres,"%12.7f ",p[jk]); |
| jk++; |
jk++; |
| } |
} |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| fprintf(ficres,"\n"); |
fprintf(ficres,"\n"); |
| } |
} |
| } |
} |
| } |
} |
| if(mle != 0){ |
if(mle != 0){ |
|
Line 9136 Please run with mle=-1 to get a correct
|
Line 9319 Please run with mle=-1 to get a correct
|
| printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
| fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
| for(i=1,jk=1; i <=nlstate; i++){ |
for(i=1,jk=1; i <=nlstate; i++){ |
| for(k=1; k <=(nlstate+ndeath); k++){ |
for(k=1; k <=(nlstate+ndeath); k++){ |
| if (k != i) { |
if (k != i) { |
| printf("%d%d ",i,k); |
printf("%d%d ",i,k); |
| fprintf(ficlog,"%d%d ",i,k); |
fprintf(ficlog,"%d%d ",i,k); |
| for(j=1; j <=ncovmodel; j++){ |
for(j=1; j <=ncovmodel; j++){ |
| printf("%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
printf("%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
| fprintf(ficlog,"%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
fprintf(ficlog,"%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
| jk++; |
jk++; |
| } |
} |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| } |
} |
| } |
} |
| } |
} |
| } /* end of hesscov and Wald tests */ |
} /* end of hesscov and Wald tests */ |
| |
|
| /* */ |
/* */ |
| fprintf(ficres,"# Scales (for hessian or gradient estimation)\n"); |
fprintf(ficres,"# Scales (for hessian or gradient estimation)\n"); |
| printf("# Scales (for hessian or gradient estimation)\n"); |
printf("# Scales (for hessian or gradient estimation)\n"); |
| fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n"); |
fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n"); |
| for(i=1,jk=1; i <=nlstate; i++){ |
for(i=1,jk=1; i <=nlstate; i++){ |
| for(j=1; j <=nlstate+ndeath; j++){ |
for(j=1; j <=nlstate+ndeath; j++){ |
| if (j!=i) { |
if (j!=i) { |
| fprintf(ficres,"%1d%1d",i,j); |
fprintf(ficres,"%1d%1d",i,j); |
| printf("%1d%1d",i,j); |
printf("%1d%1d",i,j); |
| fprintf(ficlog,"%1d%1d",i,j); |
fprintf(ficlog,"%1d%1d",i,j); |
| for(k=1; k<=ncovmodel;k++){ |
for(k=1; k<=ncovmodel;k++){ |
| printf(" %.5e",delti[jk]); |
printf(" %.5e",delti[jk]); |
| fprintf(ficlog," %.5e",delti[jk]); |
fprintf(ficlog," %.5e",delti[jk]); |
| fprintf(ficres," %.5e",delti[jk]); |
fprintf(ficres," %.5e",delti[jk]); |
| jk++; |
jk++; |
| } |
} |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| fprintf(ficres,"\n"); |
fprintf(ficres,"\n"); |
| } |
} |
| } |
} |
| } |
} |
| |
|
|
Line 9195 Please run with mle=-1 to get a correct
|
Line 9378 Please run with mle=-1 to get a correct
|
| for(itimes=1;itimes<=2;itimes++){ |
for(itimes=1;itimes<=2;itimes++){ |
| jj=0; |
jj=0; |
| for(i=1; i <=nlstate; i++){ |
for(i=1; i <=nlstate; i++){ |
| for(j=1; j <=nlstate+ndeath; j++){ |
for(j=1; j <=nlstate+ndeath; j++){ |
| if(j==i) continue; |
if(j==i) continue; |
| for(k=1; k<=ncovmodel;k++){ |
for(k=1; k<=ncovmodel;k++){ |
| jj++; |
jj++; |
| ca[0]= k+'a'-1;ca[1]='\0'; |
ca[0]= k+'a'-1;ca[1]='\0'; |
| if(itimes==1){ |
if(itimes==1){ |
| if(mle>=1) |
if(mle>=1) |
| printf("#%1d%1d%d",i,j,k); |
printf("#%1d%1d%d",i,j,k); |
| fprintf(ficlog,"#%1d%1d%d",i,j,k); |
fprintf(ficlog,"#%1d%1d%d",i,j,k); |
| fprintf(ficres,"#%1d%1d%d",i,j,k); |
fprintf(ficres,"#%1d%1d%d",i,j,k); |
| }else{ |
}else{ |
| if(mle>=1) |
if(mle>=1) |
| printf("%1d%1d%d",i,j,k); |
printf("%1d%1d%d",i,j,k); |
| fprintf(ficlog,"%1d%1d%d",i,j,k); |
fprintf(ficlog,"%1d%1d%d",i,j,k); |
| fprintf(ficres,"%1d%1d%d",i,j,k); |
fprintf(ficres,"%1d%1d%d",i,j,k); |
| } |
} |
| ll=0; |
ll=0; |
| for(li=1;li <=nlstate; li++){ |
for(li=1;li <=nlstate; li++){ |
| for(lj=1;lj <=nlstate+ndeath; lj++){ |
for(lj=1;lj <=nlstate+ndeath; lj++){ |
| if(lj==li) continue; |
if(lj==li) continue; |
| for(lk=1;lk<=ncovmodel;lk++){ |
for(lk=1;lk<=ncovmodel;lk++){ |
| ll++; |
ll++; |
| if(ll<=jj){ |
if(ll<=jj){ |
| cb[0]= lk +'a'-1;cb[1]='\0'; |
cb[0]= lk +'a'-1;cb[1]='\0'; |
| if(ll<jj){ |
if(ll<jj){ |
| if(itimes==1){ |
if(itimes==1){ |
| if(mle>=1) |
if(mle>=1) |
| printf(" Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
printf(" Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
| fprintf(ficlog," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
fprintf(ficlog," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
| fprintf(ficres," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
fprintf(ficres," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj); |
| }else{ |
}else{ |
| if(mle>=1) |
if(mle>=1) |
| printf(" %.5e",matcov[jj][ll]); |
printf(" %.5e",matcov[jj][ll]); |
| fprintf(ficlog," %.5e",matcov[jj][ll]); |
fprintf(ficlog," %.5e",matcov[jj][ll]); |
| fprintf(ficres," %.5e",matcov[jj][ll]); |
fprintf(ficres," %.5e",matcov[jj][ll]); |
| } |
} |
| }else{ |
}else{ |
| if(itimes==1){ |
if(itimes==1){ |
| if(mle>=1) |
if(mle>=1) |
| printf(" Var(%s%1d%1d)",ca,i,j); |
printf(" Var(%s%1d%1d)",ca,i,j); |
| fprintf(ficlog," Var(%s%1d%1d)",ca,i,j); |
fprintf(ficlog," Var(%s%1d%1d)",ca,i,j); |
| fprintf(ficres," Var(%s%1d%1d)",ca,i,j); |
fprintf(ficres," Var(%s%1d%1d)",ca,i,j); |
| }else{ |
}else{ |
| if(mle>=1) |
if(mle>=1) |
| printf(" %.7e",matcov[jj][ll]); |
printf(" %.7e",matcov[jj][ll]); |
| fprintf(ficlog," %.7e",matcov[jj][ll]); |
fprintf(ficlog," %.7e",matcov[jj][ll]); |
| fprintf(ficres," %.7e",matcov[jj][ll]); |
fprintf(ficres," %.7e",matcov[jj][ll]); |
| } |
} |
| } |
} |
| } |
} |
| } /* end lk */ |
} /* end lk */ |
| } /* end lj */ |
} /* end lj */ |
| } /* end li */ |
} /* end li */ |
| if(mle>=1) |
if(mle>=1) |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| fprintf(ficres,"\n"); |
fprintf(ficres,"\n"); |
| numlinepar++; |
numlinepar++; |
| } /* end k*/ |
} /* end k*/ |
| } /*end j */ |
} /*end j */ |
| } /* end i */ |
} /* end i */ |
| } /* end itimes */ |
} /* end itimes */ |
| |
|
| fflush(ficlog); |
fflush(ficlog); |
| fflush(ficres); |
fflush(ficres); |
| while(fgets(line, MAXLINE, ficpar)) { |
while(fgets(line, MAXLINE, ficpar)) { |
| /* If line starts with a # it is a comment */ |
/* If line starts with a # it is a comment */ |
| if (line[0] == '#') { |
if (line[0] == '#') { |
| numlinepar++; |
numlinepar++; |
| fputs(line,stdout); |
fputs(line,stdout); |
| fputs(line,ficparo); |
fputs(line,ficparo); |
| fputs(line,ficlog); |
fputs(line,ficlog); |
| continue; |
continue; |
| }else |
}else |
| break; |
break; |
| } |
} |
| |
|
| /* while((c=getc(ficpar))=='#' && c!= EOF){ */ |
/* while((c=getc(ficpar))=='#' && c!= EOF){ */ |
| /* ungetc(c,ficpar); */ |
/* ungetc(c,ficpar); */ |
| /* fgets(line, MAXLINE, ficpar); */ |
/* fgets(line, MAXLINE, ficpar); */ |
|
Line 9282 Please run with mle=-1 to get a correct
|
Line 9465 Please run with mle=-1 to get a correct
|
| |
|
| estepm=0; |
estepm=0; |
| if((num_filled=sscanf(line,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm, &ftolpl)) !=EOF){ |
if((num_filled=sscanf(line,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm, &ftolpl)) !=EOF){ |
| |
|
| if (num_filled != 6) { |
if (num_filled != 6) { |
| printf("Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n"); |
printf("Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); |
| printf("but line=%s\n",line); |
fprintf(ficlog,"Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); |
| goto end; |
goto end; |
| } |
} |
| printf("agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",ageminpar,agemaxpar, bage, fage, estepm, ftolpl); |
printf("agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",ageminpar,agemaxpar, bage, fage, estepm, ftolpl); |
| } |
} |
| /* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */ |
/* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */ |
| /*ftolpl=6.e-4;*/ /* 6.e-3 make convergences in less than 80 loops for the prevalence limit */ |
/*ftolpl=6.e-4;*/ /* 6.e-3 make convergences in less than 80 loops for the prevalence limit */ |
| |
|
| /* fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm); */ |
/* fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm); */ |
| if (estepm==0 || estepm < stepm) estepm=stepm; |
if (estepm==0 || estepm < stepm) estepm=stepm; |
| if (fage <= 2) { |
if (fage <= 2) { |
|
Line 9303 Please run with mle=-1 to get a correct
|
Line 9486 Please run with mle=-1 to get a correct
|
| fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n"); |
fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n"); |
| fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d ftolpl=%e\n",ageminpar,agemaxpar,bage,fage, estepm, ftolpl); |
fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d ftolpl=%e\n",ageminpar,agemaxpar,bage,fage, estepm, ftolpl); |
| fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d, ftolpl=%e\n",ageminpar,agemaxpar,bage,fage, estepm, ftolpl); |
fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d, ftolpl=%e\n",ageminpar,agemaxpar,bage,fage, estepm, ftolpl); |
| |
|
| /* Other stuffs, more or less useful */ |
/* Other stuffs, more or less useful */ |
| while((c=getc(ficpar))=='#' && c!= EOF){ |
while((c=getc(ficpar))=='#' && c!= EOF){ |
| ungetc(c,ficpar); |
ungetc(c,ficpar); |
|
Line 9360 Please run with mle=-1 to get a correct
|
Line 9543 Please run with mle=-1 to get a correct
|
| ungetc(c,ficpar); |
ungetc(c,ficpar); |
| |
|
| fscanf(ficpar,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj); |
fscanf(ficpar,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj); |
| fscanf(ficparo,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj); |
fprintf(ficparo,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); |
| fscanf(ficlog,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj); |
fprintf(ficlog,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); |
| fscanf(ficres,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj); |
fprintf(ficres,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); |
| /* day and month of proj2 are not used but only year anproj2.*/ |
/* day and month of proj2 are not used but only year anproj2.*/ |
| |
|
| |
|
| /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint); */ |
/* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint); */ |
| /* ,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); */ |
/* ,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); */ |
| |
|
| replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */ |
replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */ |
| if(ageminpar == AGEOVERFLOW ||agemaxpar == -AGEOVERFLOW){ |
if(ageminpar == AGEOVERFLOW ||agemaxpar == -AGEOVERFLOW){ |
| printf("Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ |
printf("Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ |
| This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ |
This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ |
| Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar); |
Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar); |
| fprintf(ficlog,"Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ |
fprintf(ficlog,"Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ |
| This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ |
This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ |
| Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar); |
Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar); |
| }else |
}else{ |
| printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p); |
printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p); |
| |
} |
| printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt,\ |
printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \ |
| model,imx,jmin,jmax,jmean,rfileres,popforecast,prevfcast,backcast, estepm, \ |
model,imx,jmin,jmax,jmean,rfileres,popforecast,prevfcast,backcast, estepm, \ |
| jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2); |
jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2); |
| |
|
| /*------------ free_vector -------------*/ |
/*------------ free_vector -------------*/ |
| /* chdir(path); */ |
/* chdir(path); */ |
| |
|
| /* free_ivector(wav,1,imx); */ /* Moved after last prevalence call */ |
/* free_ivector(wav,1,imx); */ /* Moved after last prevalence call */ |
| /* free_imatrix(dh,1,lastpass-firstpass+2,1,imx); */ |
/* free_imatrix(dh,1,lastpass-firstpass+2,1,imx); */ |
| /* free_imatrix(bh,1,lastpass-firstpass+2,1,imx); */ |
/* free_imatrix(bh,1,lastpass-firstpass+2,1,imx); */ |
|
Line 9397 Please run with mle=-1 to get a correct
|
Line 9580 Please run with mle=-1 to get a correct
|
| /*free_matrix(covar,1,NCOVMAX,1,n);*/ |
/*free_matrix(covar,1,NCOVMAX,1,n);*/ |
| fclose(ficparo); |
fclose(ficparo); |
| fclose(ficres); |
fclose(ficres); |
| |
|
| |
|
| /* Other results (useful)*/ |
/* Other results (useful)*/ |
| |
|
| |
|
| /*--------------- Prevalence limit (period or stable prevalence) --------------*/ |
/*--------------- Prevalence limit (period or stable prevalence) --------------*/ |
| /*#include "prevlim.h"*/ /* Use ficrespl, ficlog */ |
/*#include "prevlim.h"*/ /* Use ficrespl, ficlog */ |
| prlim=matrix(1,nlstate,1,nlstate); |
prlim=matrix(1,nlstate,1,nlstate); |
|
Line 9413 Please run with mle=-1 to get a correct
|
Line 9596 Please run with mle=-1 to get a correct
|
| hPijx(p, bage, fage); |
hPijx(p, bage, fage); |
| fclose(ficrespij); |
fclose(ficrespij); |
| |
|
| ncovcombmax= pow(2,cptcoveff); |
/* ncovcombmax= pow(2,cptcoveff); */ |
| /*-------------- Variance of one-step probabilities---*/ |
/*-------------- Variance of one-step probabilities---*/ |
| k=1; |
k=1; |
| varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart); |
varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart); |
| |
|
| /* Prevalence for each covariates in probs[age][status][cov] */ |
/* Prevalence for each covariates in probs[age][status][cov] */ |
| probs= ma3x(1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax); |
probs= ma3x(1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax); |
| for(i=1;i<=AGESUP;i++) |
for(i=1;i<=AGESUP;i++) |
| for(j=1;j<=nlstate;j++) |
for(j=1;j<=nlstate+ndeath;j++) /* ndeath is useless but a necessity to be compared with mobaverages */ |
| for(k=1;k<=ncovcombmax;k++) |
for(k=1;k<=ncovcombmax;k++) |
| probs[i][j][k]=0.; |
probs[i][j][k]=0.; |
| prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); |
prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); |
| if (mobilav!=0 ||mobilavproj !=0 ) { |
if (mobilav!=0 ||mobilavproj !=0 ) { |
| mobaverage= ma3x(1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); |
mobaverages= ma3x(1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); |
| if (mobilav!=0) { |
for(i=1;i<=AGESUP;i++) |
| |
for(j=1;j<=nlstate;j++) |
| |
for(k=1;k<=ncovcombmax;k++) |
| |
mobaverages[i][j][k]=0.; |
| |
mobaverage=mobaverages; |
| |
if (mobilav!=0) { |
| if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilav)!=0){ |
if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilav)!=0){ |
| fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); |
fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); |
| printf(" Error in movingaverage mobilav=%d\n",mobilav); |
printf(" Error in movingaverage mobilav=%d\n",mobilav); |
| } |
} |
| } |
} |
| /* /\* Prevalence for each covariates in probs[age][status][cov] *\/ */ |
/* /\* Prevalence for each covariates in probs[age][status][cov] *\/ */ |
| /* prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */ |
/* prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */ |
| else if (mobilavproj !=0) { |
else if (mobilavproj !=0) { |
| if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilavproj)!=0){ |
if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilavproj)!=0){ |
| fprintf(ficlog," Error in movingaverage mobilavproj=%d\n",mobilavproj); |
fprintf(ficlog," Error in movingaverage mobilavproj=%d\n",mobilavproj); |
| printf(" Error in movingaverage mobilavproj=%d\n",mobilavproj); |
printf(" Error in movingaverage mobilavproj=%d\n",mobilavproj); |
| } |
} |
| } |
} |
| }/* end if moving average */ |
}/* end if moving average */ |
| |
|
| /*---------- Forecasting ------------------*/ |
/*---------- Forecasting ------------------*/ |
| /*if((stepm == 1) && (strcmp(model,".")==0)){*/ |
/*if((stepm == 1) && (strcmp(model,".")==0)){*/ |
| if(prevfcast==1){ |
if(prevfcast==1){ |
|
Line 9450 Please run with mle=-1 to get a correct
|
Line 9638 Please run with mle=-1 to get a correct
|
| prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff); |
prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff); |
| } |
} |
| if(backcast==1){ |
if(backcast==1){ |
| ddnewms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
ddnewms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
| ddoldms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
ddoldms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
| ddsavms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
ddsavms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); |
| |
|
| /*--------------- Back Prevalence limit (period or stable prevalence) --------------*/ |
/*--------------- Back Prevalence limit (period or stable prevalence) --------------*/ |
| /*#include "prevlim.h"*/ /* Use ficresplb, ficlog */ |
|
| bprlim=matrix(1,nlstate,1,nlstate); |
bprlim=matrix(1,nlstate,1,nlstate); |
| back_prevalence_limit(p, bprlim, ageminpar, agemaxpar, ftolpl, &ncvyear, dateprev1, dateprev2, firstpass, lastpass, mobilavproj); |
back_prevalence_limit(p, bprlim, ageminpar, agemaxpar, ftolpl, &ncvyear, dateprev1, dateprev2, firstpass, lastpass, mobilavproj); |
| fclose(ficresplb); |
fclose(ficresplb); |
| |
|
| hBijx(p, bage, fage, mobaverage); |
/* hBijx(p, bage, fage, mobaverage); */ |
| fclose(ficrespijb); |
/* fclose(ficrespijb); */ |
| free_matrix(bprlim,1,nlstate,1,nlstate); /*here or after loop ? */ |
free_matrix(bprlim,1,nlstate,1,nlstate); /*here or after loop ? */ |
| |
|
| /* prevbackforecast(fileresu, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anback2, p, cptcoveff); */ |
/* prevbackforecast(fileresu, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, mobilavproj, |
| free_matrix(ddnewms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
bage, fage, firstpass, lastpass, anback2, p, cptcoveff); */ |
| free_matrix(ddsavms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
free_matrix(ddnewms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
| free_matrix(ddoldms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
free_matrix(ddsavms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
| } |
free_matrix(ddoldms, 1, nlstate+ndeath, 1, nlstate+ndeath); |
| /* if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ |
} |
| /* if (mobilavproj!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ |
|
| |
|
| /* (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);*/ |
|
| /* } */ |
|
| /* else{ */ |
|
| /* erreur=108; */ |
|
| /* printf("Warning %d!! You can only forecast the prevalences if the optimization\n has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */ |
|
| /* fprintf(ficlog,"Warning %d!! You can only forecast the prevalences if the optimization\n has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */ |
|
| /* } */ |
|
| |
|
| |
|
| /* ------ Other prevalence ratios------------ */ |
/* ------ Other prevalence ratios------------ */ |
| |
|
| /* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */ |
|
| |
|
| /* prevalence(probs, agemin, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */ |
|
| /* printf("ageminpar=%f, agemax=%f, s[lastpass][imx]=%d, agev[lastpass][imx]=%f, nlstate=%d, imx=%d, mint[lastpass][imx]=%f, anint[lastpass][imx]=%f,dateprev1=%f, dateprev2=%f, firstpass=%d, lastpass=%d\n",\ |
|
| ageminpar, agemax, s[lastpass][imx], agev[lastpass][imx], nlstate, imx, mint[lastpass][imx],anint[lastpass][imx], dateprev1, dateprev2, firstpass, lastpass); |
|
| */ |
|
| free_ivector(wav,1,imx); |
free_ivector(wav,1,imx); |
| free_imatrix(dh,1,lastpass-firstpass+2,1,imx); |
free_imatrix(dh,1,lastpass-firstpass+2,1,imx); |
| free_imatrix(bh,1,lastpass-firstpass+2,1,imx); |
free_imatrix(bh,1,lastpass-firstpass+2,1,imx); |
| free_imatrix(mw,1,lastpass-firstpass+2,1,imx); |
free_imatrix(mw,1,lastpass-firstpass+2,1,imx); |
| |
|
| |
|
| /* if (mobilav!=0) { */ |
|
| /* mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ |
|
| /* if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){ */ |
|
| /* fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); */ |
|
| /* printf(" Error in movingaverage mobilav=%d\n",mobilav); */ |
|
| /* } */ |
|
| /* } */ |
|
| |
|
| |
|
| /*---------- Health expectancies, no variances ------------*/ |
/*---------- Health expectancies, no variances ------------*/ |
| |
|
| strcpy(filerese,"E_"); |
strcpy(filerese,"E_"); |
|
Line 9514 Please run with mle=-1 to get a correct
|
Line 9678 Please run with mle=-1 to get a correct
|
| } |
} |
| printf("Computing Health Expectancies: result on file '%s' ...", filerese);fflush(stdout); |
printf("Computing Health Expectancies: result on file '%s' ...", filerese);fflush(stdout); |
| fprintf(ficlog,"Computing Health Expectancies: result on file '%s' ...", filerese);fflush(ficlog); |
fprintf(ficlog,"Computing Health Expectancies: result on file '%s' ...", filerese);fflush(ficlog); |
| /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){ |
|
| for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ |
|
| |
|
| for (k=1; k <= (int) pow(2,cptcoveff); k++){ |
for (k=1; k <= (int) pow(2,cptcoveff); k++){ |
| fprintf(ficreseij,"\n#****** "); |
fprintf(ficreseij,"\n#****** "); |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
| } |
} |
| fprintf(ficreseij,"******\n"); |
fprintf(ficreseij,"******\n"); |
| |
|
| eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); |
|
| oldm=oldms;savm=savms; |
|
| evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart); |
|
| |
|
| free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); |
eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); |
| /*}*/ |
oldm=oldms;savm=savms; |
| |
evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart); |
| |
|
| |
free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); |
| } |
} |
| fclose(ficreseij); |
fclose(ficreseij); |
| printf("done evsij\n");fflush(stdout); |
printf("done evsij\n");fflush(stdout); |
|
Line 9643 Please run with mle=-1 to get a correct
|
Line 9804 Please run with mle=-1 to get a correct
|
| prlim[i][i]=mobaverage[(int)age][i][k]; |
prlim[i][i]=mobaverage[(int)age][i][k]; |
| } |
} |
| } |
} |
| |
|
| fprintf(ficrest," %4.0f %d %d",age, vpopbased, mobilav); |
fprintf(ficrest," %4.0f %d %d",age, vpopbased, mobilav); |
| /* fprintf(ficrest," %4.0f %d %d %d %d",age, vpopbased, mobilav,Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ /* to be done */ |
/* fprintf(ficrest," %4.0f %d %d %d %d",age, vpopbased, mobilav,Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ /* to be done */ |
| /* printf(" age %4.0f ",age); */ |
/* printf(" age %4.0f ",age); */ |
|
Line 9656 Please run with mle=-1 to get a correct
|
Line 9817 Please run with mle=-1 to get a correct
|
| epj[nlstate+1] +=epj[j]; |
epj[nlstate+1] +=epj[j]; |
| } |
} |
| /* printf(" age %4.0f \n",age); */ |
/* printf(" age %4.0f \n",age); */ |
| |
|
| for(i=1, vepp=0.;i <=nlstate;i++) |
for(i=1, vepp=0.;i <=nlstate;i++) |
| for(j=1;j <=nlstate;j++) |
for(j=1;j <=nlstate;j++) |
| vepp += vareij[i][j][(int)age]; |
vepp += vareij[i][j][(int)age]; |
|
Line 9722 Please run with mle=-1 to get a correct
|
Line 9883 Please run with mle=-1 to get a correct
|
| fprintf(ficlog,"done variance-covariance of period prevalence\n");fflush(ficlog); |
fprintf(ficlog,"done variance-covariance of period prevalence\n");fflush(ficlog); |
| |
|
| /*---------- End : free ----------------*/ |
/*---------- End : free ----------------*/ |
| if (mobilav!=0 ||mobilavproj !=0) free_ma3x(mobaverage,1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); /* We need to have a squared matrix with prevalence of the dead! */ |
if (mobilav!=0 ||mobilavproj !=0) |
| |
free_ma3x(mobaverages,1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); /* We need to have a squared matrix with prevalence of the dead! */ |
| free_ma3x(probs,1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax); |
free_ma3x(probs,1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax); |
| } /* mle==-3 arrives here for freeing */ |
|
| /* endfree:*/ |
|
| free_matrix(prlim,1,nlstate,1,nlstate); /*here or after loop ? */ |
free_matrix(prlim,1,nlstate,1,nlstate); /*here or after loop ? */ |
| free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath); |
| |
} /* mle==-3 arrives here for freeing */ |
| |
/* endfree:*/ |
| free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath); |
| free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath); |
| free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath); |
|
Line 9744 Please run with mle=-1 to get a correct
|
Line 9906 Please run with mle=-1 to get a correct
|
| free_ivector(Tvar,1,NCOVMAX); |
free_ivector(Tvar,1,NCOVMAX); |
| free_ivector(Tprod,1,NCOVMAX); |
free_ivector(Tprod,1,NCOVMAX); |
| free_ivector(Tvaraff,1,NCOVMAX); |
free_ivector(Tvaraff,1,NCOVMAX); |
| |
free_ivector(invalidvarcomb,1,ncovcombmax); |
| free_ivector(Tage,1,NCOVMAX); |
free_ivector(Tage,1,NCOVMAX); |
| |
|
| free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX); |
free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX); |
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