version 1.319, 2022/06/02 04:45:11
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version 1.321, 2022/07/22 12:04:24
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/* $Id$ |
/* $Id$ |
$State$ |
$State$ |
$Log$ |
$Log$ |
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Revision 1.321 2022/07/22 12:04:24 brouard |
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Summary: r28 |
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* imach.c (Module): Output of Wald test in the htm file and not only in the log. |
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Revision 1.320 2022/06/02 05:10:11 brouard |
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*** empty log message *** |
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Revision 1.319 2022/06/02 04:45:11 brouard |
Revision 1.319 2022/06/02 04:45:11 brouard |
* imach.c (Module): Adding the Wald tests from the log to the main |
* imach.c (Module): Adding the Wald tests from the log to the main |
htm for better display of the maximum likelihood estimators. |
htm for better display of the maximum likelihood estimators. |
Line 1422 int **nbcode, *Tvar; /**< model=V2 => Tv
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Line 1430 int **nbcode, *Tvar; /**< model=V2 => Tv
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/* Tage[cptcovage]=k 5 8 */ /* Position in the model of ith cov*age */ |
/* Tage[cptcovage]=k 5 8 */ /* Position in the model of ith cov*age */ |
/* Tvard[1][1]@4={4,3,1,2} V4*V3 V1*V2 */ /* Position in model of the ith prod without age */ |
/* Tvard[1][1]@4={4,3,1,2} V4*V3 V1*V2 */ /* Position in model of the ith prod without age */ |
/* TvarF TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 ID of fixed covariates or product V2, V1*V2, V1 */ |
/* TvarF TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 ID of fixed covariates or product V2, V1*V2, V1 */ |
/* TvarFind; /**< TvarFind[1]=6, TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod) */ |
/* TvarFind; TvarFind[1]=6, TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod) */ |
/* Type */ |
/* Type */ |
/* V 1 2 3 4 5 */ |
/* V 1 2 3 4 5 */ |
/* F F V V V */ |
/* F F V V V */ |
Line 3645 double func( double *x)
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Line 3653 double func( double *x)
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/* # V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi */ |
/* # V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi */ |
/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
/* TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 ID of fixed covariates or product V2, V1*V2, V1 */ |
/* TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 ID of fixed covariates or product V2, V1*V2, V1 */ |
/* TvarFind; /**< TvarFind[1]=6, TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod) */ |
/* TvarFind; TvarFind[1]=6, TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod) */ |
cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (TvarFind[1]=6)*/ |
cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (TvarFind[1]=6)*/ |
/* V1*V2 (7) TvarFind[2]=7, TvarFind[3]=9 */ |
/* V1*V2 (7) TvarFind[2]=7, TvarFind[3]=9 */ |
} |
} |
Line 6118 void concatwav(int wav[], int **dh, int
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Line 6126 void concatwav(int wav[], int **dh, int
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varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf; |
varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf; |
} |
} |
} |
} |
if((int)age ==50){ |
/* if((int)age ==50){ */ |
printf(" age=%d cij=%d nres=%d varhe[%d][%d]=%f ",(int)age, cij, nres, 1,2,varhe[1][2]); |
/* printf(" age=%d cij=%d nres=%d varhe[%d][%d]=%f ",(int)age, cij, nres, 1,2,varhe[1][2]); */ |
} |
/* } */ |
/* Computing expectancies */ |
/* Computing expectancies */ |
hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij,nres); |
hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij,nres); |
for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
Line 7237 void printinghtml(char fileresu[], char
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Line 7245 void printinghtml(char fileresu[], char
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} |
} |
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/* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
/* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
fprintf(fichtm," (model=%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model); |
if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
fprintf(fichtm,"\n<h3>Combination (%d) ignored because no cases </h3>\n",k1); |
fprintf(fichtm,"\n<h3>Combination (%d) ignored because no cases </h3>\n",k1); |
printf("\nCombination (%d) ignored because no cases \n",k1); |
printf("\nCombination (%d) ignored because no cases \n",k1); |
Line 7424 See page 'Matrix of variance-covariance
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Line 7432 See page 'Matrix of variance-covariance
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fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
} |
} |
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fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
fprintf(fichtm," (model=%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model); |
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if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
fprintf(fichtm,"\n<h4>Combination (%d) ignored because no cases </h4>\n",k1); |
fprintf(fichtm,"\n<h4>Combination (%d) ignored because no cases </h4>\n",k1); |
Line 7560 void printinggnuplot(char fileresu[], ch
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Line 7568 void printinggnuplot(char fileresu[], ch
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fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres); |
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres); |
fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres); |
fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres); |
/* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */ |
/* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */ |
fprintf(ficgp,"set title \"Alive state %d %s\" font \"Helvetica,12\"\n",cpt,gplotlabel); |
fprintf(ficgp,"set title \"Alive state %d %s model=%s\" font \"Helvetica,12\"\n",cpt,gplotlabel,model); |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres); |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres); |
/* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */ |
/* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */ |
/* k1-1 error should be nres-1*/ |
/* k1-1 error should be nres-1*/ |
Line 12548 Please run with mle=-1 to get a correct
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Line 12556 Please run with mle=-1 to get a correct
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hesscov(matcov, hess, p, npar, delti, ftolhess, func); |
hesscov(matcov, hess, p, npar, delti, ftolhess, func); |
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"); |
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fprintf(fichtm, "\n<p>Parameters, Wald tests and Wald-based confidence intervals\n</br> W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n</br> And Wald-based confidence intervals plus and minus 1.96 * W \n </br> It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n</br>"); |
fprintf(fichtm,"\n<table style=\"text-align:center; border: 1px solid\">"); |
fprintf(fichtm,"\n<table style=\"text-align:center; border: 1px solid\">"); |
fprintf(fichtm, "\n<tr><th>Model=</th><th>1</th><th>+ age</th>"); |
fprintf(fichtm, "\n<tr><th>Model=</th><th>1</th><th>+ age</th>"); |
if(nagesqr==1){ |
if(nagesqr==1){ |
Line 12578 Please run with mle=-1 to get a correct
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Line 12587 Please run with mle=-1 to get a correct
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fprintf(fichtm, "<td>%1d%1d</td>",i,k); |
fprintf(fichtm, "<td>%1d%1d</td>",i,k); |
for(j=1; j <=ncovmodel; j++){ |
for(j=1; j <=ncovmodel; j++){ |
wald=p[jk]/sqrt(matcov[jk][jk]); |
wald=p[jk]/sqrt(matcov[jk][jk]); |
printf("%12.7f(%12.7f) W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][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(%12.7f) sqrt(W)=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][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(%12.7f) W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][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(%12.7f) sqrt(W)=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][jk]), p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
if(fabs(wald) > 1.96){ |
if(fabs(wald) > 1.96){ |
fprintf(fichtm, "<td><b>%12.7f</b> (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk])); |
fprintf(fichtm, "<td><b>%12.7f</b></br> (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk])); |
fprintf(fichtm,"<b>W=%8.3f</b></br>",wald); |
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}else{ |
}else{ |
fprintf(fichtm, "<td>%12.7f (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk])); |
fprintf(fichtm, "<td>%12.7f (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk])); |
fprintf(fichtm,"W=%8.3f</br>",wald); |
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} |
} |
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fprintf(fichtm,"sqrt(W)=%8.3f</br>",wald); |
fprintf(fichtm,"[%12.7f;%12.7f]</br></td>", p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
fprintf(fichtm,"[%12.7f;%12.7f]</br></td>", p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
jk++; |
jk++; |
} |
} |
Line 13188 Please run with mle=-1 to get a correct
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Line 13196 Please run with mle=-1 to get a correct
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for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ |
for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ |
if(i1 != 1 && TKresult[nres]!= k) |
if(i1 != 1 && TKresult[nres]!= k) |
continue; |
continue; |
printf("\n#****** Result for:"); |
printf("\n# model %s \n#****** Result for:", model); |
fprintf(ficrest,"\n#****** Result for:"); |
fprintf(ficrest,"\n# model %s \n#****** Result for:", model); |
fprintf(ficlog,"\n#****** Result for:"); |
fprintf(ficlog,"\n# model %s \n#****** Result for:", model); |
for(j=1;j<=cptcoveff;j++){ |
for(j=1;j<=cptcoveff;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(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |