Hello all,
I have a doubt regarding how to specify a Poisson model and NBM with nested
effects using glmer, glmer.nb, and glmmTMB functions. I will explain the
factors below:
X - response variable
A - fixed factor
B - random factor; nested within C
I want to check the effect of A, B (nested within C), and the interaction
effect: B (nested within C) * A. I understand that the nested random factor
can be specified as (1 | C/B), but I am not sure how the interaction term
should be specified.
mF <- glmer(X ~ A + (1 | C/B) + (1 | C/B : A), family = "poisson", data = d)
If I run the above formula, the effect of C is computed twice, and I am not
interested in looking at that effect.
Could someone please help me with this? Thank you very much.
Best regards,
Revathe
--
PhD student
Animal Behaviour and Sociogenetics lab
Evolutionary and Organismal Biology Unit
Jawaharlal Nehru Centre for Advanced Scientific Research
Bengaluru
India