[R-sig-ME] Help with specifying interaction term involving nested factor
rev@theth|||@|kum@r @end|ng |rom gm@||@com
Fri Nov 19 05:22:54 CET 2021
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
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.
Animal Behaviour and Sociogenetics lab
Evolutionary and Organismal Biology Unit
Jawaharlal Nehru Centre for Advanced Scientific Research
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