version 1.204, 2015/10/01 16:20:26
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version 1.206, 2015/10/24 07:14:11
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/* $Id$ |
/* $Id$ |
$State$ |
$State$ |
$Log$ |
$Log$ |
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Revision 1.206 2015/10/24 07:14:11 brouard |
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*** empty log message *** |
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Revision 1.205 2015/10/23 15:50:53 brouard |
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Summary: 0.98r3 some clarification for graphs on likelihood contributions |
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Revision 1.204 2015/10/01 16:20:26 brouard |
Revision 1.204 2015/10/01 16:20:26 brouard |
Summary: Some new graphs of contribution to likelihood |
Summary: Some new graphs of contribution to likelihood |
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Line 943 static int split( char *path, char *dirc
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Line 949 static int split( char *path, char *dirc
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} |
} |
/* got dirc from getcwd*/ |
/* got dirc from getcwd*/ |
printf(" DIRC = %s \n",dirc); |
printf(" DIRC = %s \n",dirc); |
} else { /* strip direcotry from path */ |
} else { /* strip directory from path */ |
ss++; /* after this, the filename */ |
ss++; /* after this, the filename */ |
l2 = strlen( ss ); /* length of filename */ |
l2 = strlen( ss ); /* length of filename */ |
if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH ); |
if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH ); |
Line 1957 double **prevalim(double **prlim, int nl
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Line 1963 double **prevalim(double **prlim, int nl
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{ |
{ |
/* Computes the prevalence limit in each live state at age x by left multiplying the unit |
/* Computes the prevalence limit in each live state at age x by left multiplying the unit |
matrix by transitions matrix until convergence is reached with precision ftolpl */ |
matrix by transitions matrix until convergence is reached with precision ftolpl */ |
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/* Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1 = Wx-n Px-n ... Px-2 Px-1 I */ |
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/* Wx is row vector: population in state 1, population in state 2, population dead */ |
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/* or prevalence in state 1, prevalence in state 2, 0 */ |
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/* newm is the matrix after multiplications, its rows are identical at a factor */ |
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/* Initial matrix pimij */ |
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/* {0.85204250825084937, 0.13044499163996345, 0.017512500109187184, */ |
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/* 0.090851990222114765, 0.88271245433047185, 0.026435555447413338, */ |
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/* 0, 0 , 1} */ |
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/* |
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* and after some iteration: */ |
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/* {0.45504275246439968, 0.42731458730878791, 0.11764266022681241, */ |
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/* 0.45201005341706885, 0.42865420071559901, 0.11933574586733192, */ |
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/* 0, 0 , 1} */ |
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/* And prevalence by suppressing the deaths are close to identical rows in prlim: */ |
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/* {0.51571254859325999, 0.4842874514067399, */ |
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/* 0.51326036147820708, 0.48673963852179264} */ |
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/* If we start from prlim again, prlim tends to a constant matrix */ |
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int i, ii,j,k; |
int i, ii,j,k; |
double min, max, maxmin, maxmax,sumnew=0.; |
double min, max, maxmin, maxmax,sumnew=0.; |
/* double **matprod2(); */ /* test */ |
/* double **matprod2(); */ /* test */ |
Line 2013 double **prevalim(double **prlim, int nl
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Line 2036 double **prevalim(double **prlim, int nl
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prlim[i][j]= newm[i][j]/(1-sumnew); |
prlim[i][j]= newm[i][j]/(1-sumnew); |
max=FMAX(max,prlim[i][j]); |
max=FMAX(max,prlim[i][j]); |
min=FMIN(min,prlim[i][j]); |
min=FMIN(min,prlim[i][j]); |
/* printf(" age= %d prevalim i=%d, j=%d, prmlim[%d][%d]=%f, agefin=%d max=%f min=%f\n", (int)age, i, j, i, j, prlim[i][j],(int)agefin, max, min); */ |
printf(" age= %d prevalim i=%d, j=%d, prmlim[%d][%d]=%f, agefin=%d max=%f min=%f\n", (int)age, i, j, i, j, prlim[i][j],(int)agefin, max, min); |
} |
} |
maxmin=(max-min)/(max+min)*2; |
maxmin=(max-min)/(max+min)*2; |
maxmax=FMAX(maxmax,maxmin); |
maxmax=FMAX(maxmax,maxmin); |
} /* j loop */ |
} /* j loop */ |
*ncvyear= (int)age- (int)agefin; |
*ncvyear= (int)age- (int)agefin; |
/* printf("maxmax=%lf maxmin=%lf ncvloop=%ld, age=%d, agefin=%d ncvyear=%d \n", maxmax, maxmin, ncvloop, (int)age, (int)agefin, *ncvyear); */ |
printf("maxmax=%lf maxmin=%lf ncvloop=%ld, age=%d, agefin=%d ncvyear=%d \n", maxmax, maxmin, ncvloop, (int)age, (int)agefin, *ncvyear); |
if(maxmax < ftolpl){ |
if(maxmax < ftolpl){ |
/* printf("maxmax=%lf maxmin=%lf ncvloop=%ld, age=%d, agefin=%d ncvyear=%d \n", maxmax, maxmin, ncvloop, (int)age, (int)agefin, *ncvyear); */ |
/* printf("maxmax=%lf maxmin=%lf ncvloop=%ld, age=%d, agefin=%d ncvyear=%d \n", maxmax, maxmin, ncvloop, (int)age, (int)agefin, *ncvyear); */ |
return prlim; |
return prlim; |
Line 2603 double funcone( double *x)
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Line 2626 double funcone( double *x)
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ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
/*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */ |
/*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */ |
if(globpr){ |
if(globpr){ |
fprintf(ficresilk,"%9ld %6.1f %6d %2d %2d %2d %2d %3d %11.6f %8.4f\ |
fprintf(ficresilk,"%9ld %6.1f %6d %2d %2d %2d %2d %3d %11.6f %8.4f %8.3f\ |
%11.6f %11.6f %11.6f ", \ |
%11.6f %11.6f %11.6f ", \ |
num[i], agexact, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i], |
num[i], agexact, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, |
2*weight[i]*lli,out[s1][s2],savm[s1][s2]); |
2*weight[i]*lli,out[s1][s2],savm[s1][s2]); |
for(k=1,llt=0.,l=0.; k<=nlstate; k++){ |
for(k=1,llt=0.,l=0.; k<=nlstate; k++){ |
llt +=ll[k]*gipmx/gsw; |
llt +=ll[k]*gipmx/gsw; |
Line 2643 void likelione(FILE *ficres,double p[],
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Line 2666 void likelione(FILE *ficres,double p[],
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printf("Problem with resultfile: %s\n", fileresilk); |
printf("Problem with resultfile: %s\n", fileresilk); |
fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk); |
fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk); |
} |
} |
fprintf(ficresilk, "#individual(line's_record) s1 s2 wave# effective_wave# number_of_matrices_product pij weight -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total\n"); |
fprintf(ficresilk, "#individual(line's_record) count age s1 s2 wave# effective_wave# number_of_matrices_product pij weight weight/gpw -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total\n"); |
fprintf(ficresilk, "#num_i age i s1 s2 mi mw dh likeli weight 2wlli out sav "); |
fprintf(ficresilk, "#num_i age i s1 s2 mi mw dh likeli weight %weight 2wlli out sav "); |
/* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2*weight[i]*lli,out[s1][s2],savm[s1][s2]); */ |
/* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2*weight[i]*lli,out[s1][s2],savm[s1][s2]); */ |
for(k=1; k<=nlstate; k++) |
for(k=1; k<=nlstate; k++) |
fprintf(ficresilk," -2*gipw/gsw*weight*ll[%d]++",k); |
fprintf(ficresilk," -2*gipw/gsw*weight*ll[%d]++",k); |
Line 2654 void likelione(FILE *ficres,double p[],
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Line 2677 void likelione(FILE *ficres,double p[],
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*fretone=(*funcone)(p); |
*fretone=(*funcone)(p); |
if(*globpri !=0){ |
if(*globpri !=0){ |
fclose(ficresilk); |
fclose(ficresilk); |
fprintf(fichtm,"\n<br>File of contributions to the likelihood computed with initial parameters and mle >= 1. You should at least run with mle >= 1 and starting values corresponding to the optimized parameters in order to visualize the real contribution of each individual/wave: <a href=\"%s\">%s</a><br>\n",subdirf(fileresilk),subdirf(fileresilk)); |
if (mle ==0) |
fprintf(fichtm,"<br>- The function drawn is -2Log(L) in Log scale: by state of origin <a href=\"%s-ori.png\">%s-ori.png</a><br> \ |
fprintf(fichtm,"\n<br>File of contributions to the likelihood computed with initial parameters and mle = %d.",mle); |
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else if(mle >=1) |
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fprintf(fichtm,"\n<br>File of contributions to the likelihood computed with optimized parameters mle = %d.",mle); |
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fprintf(fichtm," You should at least run with mle >= 1 to get starting values corresponding to the optimized parameters in order to visualize the real contribution of each individual/wave: <a href=\"%s\">%s</a><br>\n",subdirf(fileresilk),subdirf(fileresilk)); |
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fprintf(fichtm,"<br>- The function drawn is -2Log(L) in Log scale: by state of origin <a href=\"%s-ori.png\">%s-ori.png</a><br> \ |
<img src=\"%s-ori.png\">",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_")); |
<img src=\"%s-ori.png\">",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_")); |
fprintf(fichtm,"<br>- and by state of destination <a href=\"%s-dest.png\">%s-dest.png</a><br> \ |
fprintf(fichtm,"<br>- and by state of destination <a href=\"%s-dest.png\">%s-dest.png</a><br> \ |
<img src=\"%s-dest.png\">",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_")); |
<img src=\"%s-dest.png\">",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_")); |
fflush(fichtm); |
fflush(fichtm); |
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for (k=1; k<= nlstate ; k++) { |
for (k=1; k<= nlstate ; k++) { |
fprintf(fichtm,"<br>- Probability p%dj by origin %d and destination j <a href=\"%s-p%dj.png\">%s-p%dj.png</a><br> \ |
fprintf(fichtm,"<br>- Probability p%dj by origin %d and destination j <a href=\"%s-p%dj.png\">%s-p%dj.png</a><br> \ |
<img src=\"%s-p%dj.png\">",k,k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k); |
<img src=\"%s-p%dj.png\">",k,k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k); |
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} |
} |
} |
} |
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return; |
return; |
} |
} |
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Line 4275 void cvevsij(double ***eij, double x[],
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Line 4302 void cvevsij(double ***eij, double x[],
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/************ Variance of prevlim ******************/ |
/************ Variance of prevlim ******************/ |
void varprevlim(char fileres[], double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyear, int ij, char strstart[]) |
void varprevlim(char fileres[], double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyear, int ij, char strstart[]) |
{ |
{ |
/* Variance of prevalence limit */ |
/* Variance of prevalence limit for each state ij using current parameters x[] and estimates of neighbourhood give by delti*/ |
/* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/ |
/* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/ |
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double **dnewm,**doldm; |
double **dnewm,**doldm; |
Line 4334 void cvevsij(double ***eij, double x[],
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Line 4361 void cvevsij(double ***eij, double x[],
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for(i=1;i<=nlstate;i++) |
for(i=1;i<=nlstate;i++) |
varpl[i][(int)age] =0.; |
varpl[i][(int)age] =0.; |
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if((int)age==67 ||(int)age== 66 ){ |
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matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov); |
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matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg); |
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}else{ |
matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov); |
matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov); |
matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg); |
matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg); |
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} |
for(i=1;i<=nlstate;i++) |
for(i=1;i<=nlstate;i++) |
varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */ |
varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */ |
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Line 4766 divided by h: hPij/h : <a href=\"%s_%d-3
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Line 4798 divided by h: hPij/h : <a href=\"%s_%d-3
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<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); |
} |
} |
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 *\/ */ |
Line 4836 See page 'Matrix of variance-covariance
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Line 4868 See page 'Matrix of variance-covariance
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} |
} |
for(cpt=1; cpt<=nlstate;cpt++) { |
for(cpt=1; cpt<=nlstate;cpt++) { |
fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \ |
fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \ |
prevalence (with 95%% confidence interval) in state (%d): %s%d_%d.svg <br>\ |
prevalence (with 95%% confidence interval) in state (%d): <a href=\"%s_%d%d.svg\"> %s_%d-%d.svg <br>\ |
<img src=\"%s_%d-%d.svg\">",cpt,subdirf2(optionfilefiname,"V_"),cpt,jj1,subdirf2(optionfilefiname,"V_"),cpt,jj1); |
<img src=\"%s_%d-%d.svg\">",cpt,subdirf2(optionfilefiname,"V_"),cpt,jj1,subdirf2(optionfilefiname,"V_"),cpt,jj1,subdirf2(optionfilefiname,"V_"),cpt,jj1); |
} |
} |
fprintf(fichtm,"\n<br>- Total life expectancy by age and \ |
fprintf(fichtm,"\n<br>- Total life expectancy by age and \ |
health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \ |
health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \ |
true period expectancies (those weighted with period prevalences are also\ |
true period expectancies (those weighted with period prevalences are also\ |
drawn in addition to the population based expectancies computed using\ |
drawn in addition to the population based expectancies computed using\ |
observed and cahotic prevalences: %s_%d.svg<br>\ |
observed and cahotic prevalences: <a href=\"%s_%d.svg\">%s_%d.svg<br>\ |
<img src=\"%s_%d.svg\">",subdirf2(optionfilefiname,"E_"),jj1,subdirf2(optionfilefiname,"E_"),jj1); |
<img src=\"%s_%d.svg\">",subdirf2(optionfilefiname,"E_"),jj1,subdirf2(optionfilefiname,"E_"),jj1,subdirf2(optionfilefiname,"E_"),jj1); |
/* } /\* end i1 *\/ */ |
/* } /\* end i1 *\/ */ |
}/* End k1 */ |
}/* End k1 */ |
fprintf(fichtm,"</ul>"); |
fprintf(fichtm,"</ul>"); |
Line 4873 void printinggnuplot(char fileresu[], ch
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Line 4905 void printinggnuplot(char fileresu[], ch
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fprintf(ficgp,"\n# Contributions to the Likelihood, mle >=1. For mle=4 no interpolation, pure matrix products.\n#\n"); |
fprintf(ficgp,"\n# Contributions to the Likelihood, mle >=1. For mle=4 no interpolation, pure matrix products.\n#\n"); |
fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Likelihood (-2Log(L))\";"); |
fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Likelihood (-2Log(L))\";"); |
/* fprintf(ficgp,"\nset ter svg size 640, 480"); */ /* Too big for svg */ |
/* fprintf(ficgp,"\nset ter svg size 640, 480"); */ /* Too big for svg */ |
fprintf(ficgp,"\nset ter png size 640, 480"); |
fprintf(ficgp,"\nset ter pngcairo size 640, 480"); |
/* nice for mle=4 plot by number of matrix products. |
/* nice for mle=4 plot by number of matrix products. |
replot "rrtest1/toto.txt" u 2:($4 == 1 && $5==2 ? $9 : 1/0):5 t "p12" with point lc 1 */ |
replot "rrtest1/toto.txt" u 2:($4 == 1 && $5==2 ? $9 : 1/0):5 t "p12" with point lc 1 */ |
/* replot exp(p1+p2*x)/(1+exp(p1+p2*x)+exp(p3+p4*x)+exp(p5+p6*x)) t "p12(x)" */ |
/* replot exp(p1+p2*x)/(1+exp(p1+p2*x)+exp(p3+p4*x)+exp(p5+p6*x)) t "p12(x)" */ |
/* fprintf(ficgp,"\nset out \"%s.svg\";",subdirf2(optionfilefiname,"ILK_")); */ |
/* fprintf(ficgp,"\nset out \"%s.svg\";",subdirf2(optionfilefiname,"ILK_")); */ |
fprintf(ficgp,"\nset out \"%s-dest.png\";",subdirf2(optionfilefiname,"ILK_")); |
fprintf(ficgp,"\nset out \"%s-dest.png\";",subdirf2(optionfilefiname,"ILK_")); |
fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$11):5 t \"All sample, transitions colored by destination\" with dots lc variable; set out;\n",subdirf(fileresilk)); |
fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$12):5 t \"All sample, transitions colored by destination\" with dots lc variable; set out;\n",subdirf(fileresilk)); |
fprintf(ficgp,"\nset out \"%s-ori.png\";",subdirf2(optionfilefiname,"ILK_")); |
fprintf(ficgp,"\nset out \"%s-ori.png\";",subdirf2(optionfilefiname,"ILK_")); |
fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$11):4 t \"All sample, transitions colored by origin\" with dots lc variable; set out;\n\n",subdirf(fileresilk)); |
fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$12):4 t \"All sample, transitions colored by origin\" with dots lc variable; set out;\n\n",subdirf(fileresilk)); |
for (i=1; i<= nlstate ; i ++) { |
for (i=1; i<= nlstate ; i ++) { |
fprintf(ficgp,"\nset out \"%s-p%dj.png\";set ylabel \"Probability for each individual/wave\";",subdirf2(optionfilefiname,"ILK_"),i); |
fprintf(ficgp,"\nset out \"%s-p%dj.png\";set ylabel \"Probability for each individual/wave\";",subdirf2(optionfilefiname,"ILK_"),i); |
fprintf(ficgp,"unset log;\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:($4 == %d && $5==%d ? $9 : 1/0):5 t \"p%d%d\" with points lc variable \\\n",i,1,i,1); |
fprintf(ficgp," u 2:($4 == %d && $5==%d ? $9 : 1/0):($11/4.):5 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,", \"\" u 2:($4 == %d && $5==%d ? $9 : 1/0):5 t \"p%d%d\" with points lc variable ",i,j,i,j); |
fprintf(ficgp,",\\\n \"\" u 2:($4 == %d && $5==%d ? $9 : 1/0):($11/4.):5 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 6742 int main(int argc, char *argv[])
|
Line 6774 int main(int argc, char *argv[])
|
printf("\nIMaCh version %s, %s\n%s",version, copyright, fullversion); |
printf("\nIMaCh version %s, %s\n%s",version, copyright, fullversion); |
if(argc <=1){ |
if(argc <=1){ |
printf("\nEnter the parameter file name: "); |
printf("\nEnter the parameter file name: "); |
fgets(pathr,FILENAMELENGTH,stdin); |
if(!fgets(pathr,FILENAMELENGTH,stdin)){ |
|
printf("ERROR Empty parameter file name\n"); |
|
goto end; |
|
} |
i=strlen(pathr); |
i=strlen(pathr); |
if(pathr[i-1]=='\n') |
if(pathr[i-1]=='\n') |
pathr[i-1]='\0'; |
pathr[i-1]='\0'; |
i=strlen(pathr); |
i=strlen(pathr); |
if(pathr[i-1]==' ') /* This may happen when dragging on oS/X! */ |
if(i >= 1 && pathr[i-1]==' ') {/* This may happen when dragging on oS/X! */ |
pathr[i-1]='\0'; |
pathr[i-1]='\0'; |
for (tok = pathr; tok != NULL; ){ |
} |
|
i=strlen(pathr); |
|
if( i==0 ){ |
|
printf("ERROR Empty parameter file name\n"); |
|
goto end; |
|
} |
|
for (tok = pathr; tok != NULL; ){ |
printf("Pathr |%s|\n",pathr); |
printf("Pathr |%s|\n",pathr); |
while ((val = strsep(&tok, "\"" )) != NULL && *val == '\0'); |
while ((val = strsep(&tok, "\"" )) != NULL && *val == '\0'); |
printf("val= |%s| pathr=%s\n",val,pathr); |
printf("val= |%s| pathr=%s\n",val,pathr); |
Line 7645 Please run with mle=-1 to get a correct
|
Line 7686 Please run with mle=-1 to get a correct
|
free_matrix(ximort,1,NDIM,1,NDIM); |
free_matrix(ximort,1,NDIM,1,NDIM); |
#endif |
#endif |
} /* Endof if mle==-3 mortality only */ |
} /* Endof if mle==-3 mortality only */ |
/* Standard maximisation */ |
/* Standard */ |
else{ /* For mle !=- 3 */ |
else{ /* For mle !=- 3, could be 0 or 1 or 4 etc. */ |
globpr=0;/* debug */ |
globpr=0;/* Computes sum of likelihood for globpr=1 and funcone */ |
/* Computes likelihood for initial parameters */ |
/* Computes likelihood for initial parameters, uses funcone to compute gpimx and gsw */ |
likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */ |
likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */ |
printf("First Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw); |
printf("First Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw); |
for (k=1; k<=npar;k++) |
for (k=1; k<=npar;k++) |
printf(" %d %8.5f",k,p[k]); |
printf(" %d %8.5f",k,p[k]); |
printf("\n"); |
printf("\n"); |
globpr=1; /* again, to print the contributions */ |
if(mle>=1){ /* Could be 1 or 2, Real Maximization */ |
|
/* mlikeli uses func not funcone */ |
|
mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func); |
|
} |
|
if(mle==0) {/* No optimization, will print the likelihoods for the datafile */ |
|
globpr=0;/* Computes sum of likelihood for globpr=1 and funcone */ |
|
/* Computes likelihood for initial parameters, uses funcone to compute gpimx and gsw */ |
|
likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */ |
|
} |
|
globpr=1; /* again, to print the individual contributions using computed gpimx and gsw */ |
likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */ |
likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */ |
printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw); |
printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw); |
for (k=1; k<=npar;k++) |
for (k=1; k<=npar;k++) |
printf(" %d %8.5f",k,p[k]); |
printf(" %d %8.5f",k,p[k]); |
printf("\n"); |
printf("\n"); |
if(mle>=1){ /* Could be 1 or 2, Real Maximisation */ |
|
mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func); |
|
} |
|
|
|
/*--------- results files --------------*/ |
/*--------- results files --------------*/ |
fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model); |
fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model); |
Line 8115 Please run with mle=-1 to get a correct
|
Line 8162 Please run with mle=-1 to get a correct
|
} |
} |
|
|
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 */ |
/* printf(" age %4.0f ",age); */ |
/* printf(" age %4.0f ",age); */ |
for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){ |
for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){ |
for(i=1, epj[j]=0.;i <=nlstate;i++) { |
for(i=1, epj[j]=0.;i <=nlstate;i++) { |