<div dir="ltr"><div dir="ltr"><div dir="ltr">A resposta está no 1º parágrafo da <i>vignette</i> para o pacote <font face="monospace, monospace">quasi</font>: «
Computing “quasi-AIC” (QAIC), in R is a minor pain, because the R Core
team (or at least the ones who wrote glm, glmmPQL, etc.) are purists and don’t
believe that quasi- models should report a likelihood. »</div><div dir="ltr"><br></div><div dir="ltr"><br></div><div>HTH</div><div>--</div><div>Cesar Rabak</div><div><br></div></div></div><br><div class="gmail_quote"><div dir="ltr">On Thu, Nov 8, 2018 at 9:34 PM Lucas Stempkowski por (R-br) <<a href="mailto:r-br@listas.c3sl.ufpr.br">r-br@listas.c3sl.ufpr.br</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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Olá boa noite,</div>
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Estou utilizando um GLM para análise de incidência de doença. Utilizei o seguinte comando:</div>
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<span>Call:<br>
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<div><b>glm(formula = incid ~ factor(bloco) + factor(cod) + cultivar + <br>
</b></div>
<div><b> Amostragem, family = quasibinomial("probit"), data = dados)</b><br>
</div>
<div><br>
</div>
<div>e obtive os resultados a seguir:</div>
<div><br>
</div>
<div>Minha dúvida fica em relação ao<b> AIC: NA, </b>há algo errado no modelo usado?</div>
<div><br>
</div>
<div>Deviance Residuals: <br>
</div>
<div> Min 1Q Median 3Q Max <br>
</div>
<div>-0.62644 -0.17630 -0.07311 0.07820 0.85815 <br>
</div>
<div><br>
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<div>Coefficients:<br>
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<div> Estimate Std. Error t value Pr(>|t|) <br>
</div>
<div>(Intercept) -0.717767 0.107812 -6.658 1.40e-10 ***<br>
</div>
<div>factor(bloco)2 -0.002541 0.087289 -0.029 0.9768 <br>
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<div>factor(bloco)3 -0.093526 0.089447 -1.046 0.2966 <br>
</div>
<div>factor(bloco)4 -0.051161 0.088405 -0.579 0.5632 <br>
</div>
<div>factor(cod)2 -0.153266 0.083405 -1.838 0.0671 . <br>
</div>
<div>factor(cod)3 0.027784 0.079826 0.348 0.7280 <br>
</div>
<div>factor(cod)4 -1.132366 0.135880 -8.334 3.21e-15 ***<br>
</div>
<div>factor(cod)5 -1.266976 0.151660 -8.354 2.79e-15 ***<br>
</div>
<div>cultivarParrudo -0.752089 0.084474 -8.903 < 2e-16 ***<br>
</div>
<div>cultivarReponte -0.331743 0.071247 -4.656 4.92e-06 ***<br>
</div>
<div>Amostragem -0.038367 0.022256 -1.724 0.0858 . <br>
</div>
<div>---<br>
</div>
<div>Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1<br>
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<div><br>
</div>
<div>(Dispersion parameter for quasibinomial family taken to be 0.06977337)<br>
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<div><br>
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<div> Null deviance: 39.898 on 299 degrees of freedom<br>
</div>
<div>Residual deviance: 18.381 on 289 degrees of freedom<br>
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<div>AIC: NA<br>
</div>
<div><br>
</div>
<span>Number of Fisher Scoring iterations: 7</span><br>
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<span style="font-size:16px;background-color:rgb(255,255,255);display:inline!important">Minha dúvida fica em relação ao</span><b style="font-size:16px;background-color:rgb(255,255,255)"><span> </span>AIC: NA,<span> </span></b><span style="font-size:16px;background-color:rgb(255,255,255);display:inline!important">há
algo errado no modelo usado? </span><br>
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<i><br>
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<i>--</i></p>
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<span style="font-family:"Century Gothic",sans-serif;font-size:11pt">Lucas Antonio Stempkowski</span></p>
<p style="margin-top:0px;margin-bottom:0px"><font face="Century Gothic, sans-serif"><span style="font-size:8pt">Eng. Agronômo - </span><span style="font-size:8pt">UFFS</span></font></p>
<p style="margin-top:0px;margin-bottom:0px"><font face="Century Gothic, sans-serif"><span style="font-size:8pt">Mestrando em Produção Vegetal CAV/UDESC</span></font></p>
<p style="margin-top:0px;margin-bottom:0px"><font face="Century Gothic, sans-serif"><span style="font-size:8pt">+55 54 99153-0124/ 98448-4633</span></font></p>
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