If the family is Poisson or binomial and the dispersion= argument to summary
is omitted then sigma is 1. See ?summary.glm
On Tue, Dec 24, 2024 at 8:45 AM Christofer Bogaso
wrote:
>
> Hi,
>
> I have below GLM fit
>
> clotting <- data.frame(
> u = c(5,10,15,20,30,40,60,80,100),
> lot1 = c(
Às 23:29 de 24/12/2024, Bert Gunter escreveu:
... but do note:
glm(lot1 ~ log(u), data = clotting, family = gaussian)
is a plain old *linear model*, which is of course a specific type of
glm, but not one that requires the machinery of glm() to fit. That
is, the above is exactly the same as:
lm
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