- Observed prevalence in each state: <a href=\"p%s\">p%s</a> <br>\n\r
- Stationary prevalence in each state: <a href=\"pl%s\">pl%s</a> <br>\n\r
- Transition probabilities: <a href=\"pij%s\">pij%s</a><br>\n\r
- - Life expectancies by age and initial health status (estepm=%2d months): <a href=\"e%s\">e%s</a> <br>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,optionfilegnuplot,optionfilegnuplot,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,estepm);\r
+ - Life expectancies by age and initial health status (estepm=%2d months): <a href=\"e%s\">e%s</a> <br>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,optionfilegnuplot,optionfilegnuplot,fileres,fileres,fileres,fileres,fileres,fileres,estepm,fileres,fileres);\r
\r
fprintf(fichtm,"\n\r
- Parameter file with estimated parameters and the covariance matrix: <a href=\"%s\">%s</a> <br>\n\r
for(i=1, vepp=0.;i <=nlstate;i++)\r
for(j=1;j <=nlstate;j++)\r
vepp += vareij[i][j][(int)age];\r
- fprintf(ficrest," %7.2f (%7.2f)", epj[nlstate+1],sqrt(vepp));\r
+ fprintf(ficrest," %7.3f (%7.3f)", epj[nlstate+1],sqrt(vepp));\r
for(j=1;j <=nlstate;j++){\r
- fprintf(ficrest," %7.2f (%7.2f)", epj[j],sqrt(vareij[j][j][(int)age]));\r
+ fprintf(ficrest," %7.3f (%7.3f)", epj[j],sqrt(vareij[j][j][(int)age]));\r
}\r
fprintf(ficrest,"\n");\r
}\r