Displaying 1 result from an estimated 1 matches for "check_overdispersion".
2023 Oct 31
1
weights vs. offset (negative binomial regression)
...> #
>
> library(MASS)
> g1 <- glm.nb(Catch~xx1+xx2+xx3+offset(log(Effort)), data=edata)
> g2 <- update(g1, . ~ . + log(Effort))
> g0 <- glm(Catch~xx1+xx2+xx3+offset(log(Effort)), data=edata,
> ? ? ? ? ? ?family = poisson)
> performance::check_overdispersion(g0)
> summary(g1)
> summary(g2)
> options(digits = 3)
> confint(g2)
> summary(g1)
>
>
>
> On 2023-10-28 3:30 a.m., ??? wrote:
> > Colleagues,
> >
> >
> >
> > I have a dataset that includes f...