[R] How to obtain individual log-likelihood value from glm?

[Bert Gunter]

If you look at

stats:::logLik.glm  #3 ":" because it's unexported, as is true of most
methods

it should be obvious.

Cheers,
Bert

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Tue, Aug 25, 2020 at 8:34 AM John Smith <jswhct using gmail.com> wrote:

> Dear R-help,
>
> The function logLik can be used to obtain the maximum log-likelihood value
> from a glm object. This is an aggregated value, a summation of individual
> log-likelihood values. How do I obtain individual values? In the following
> example, I would expect 9 numbers since the response has length 9. I could
> write a function to compute the values, but there are lots of
> family members in glm, and I am trying not to reinvent wheels. Thanks!
>
> counts <- c(18,17,15,20,10,20,25,13,12)
>      outcome <- gl(3,1,9)
>      treatment <- gl(3,3)
>      data.frame(treatment, outcome, counts) # showing data
>      glm.D93 <- glm(counts ~ outcome + treatment, family = poisson())
>      (ll <- logLik(glm.D93))
>
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>
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