Reputation: 1
Does anyone have ideas why when running a TSR in R Iend up getting NA for AIC to checkmodel fit?
my comands looks like this.
model2 <- glm(cases ~ fourier + time,analysis_data,family=quasipoisson)
summary(model2)
part of the returns below.
> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
>
> (Dispersion parameter for quasipoisson family taken to be 5.207482)
>
> Null deviance: 20466.2 on 481 degrees of freedom
>
> Residual deviance: 2151.8 on 446 degrees of freedom
> AIC: NA
>
> Number of Fisher Scoring iterations: 6
Upvotes: 0
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