[R-sig-ME] Extracting a p-value for a random effect in glmer

Phillip Alday phillip@@ld@y @ending from mpi@nl
Tue Sep 18 20:14:10 CEST 2018

Not answering your question at all, but a binomial model doesn't seem
like the right choice for litter_size, which I assume is a count
variable and not binomially distributed, just on account of biology ....

Related to that: why do you want a p-value for your random effects? In
other words, what's your actual inferential question? Are you interested
in whether mothers differ? Do you have multiple litters from each mother?


On 09/18/2018 07:15 PM, Michel, Eric wrote:
> Good Afternoon,
> I am responding to a reviewers request to provide a p-value for the random effect I used in a glmer model in the lme4 package. I have found plenty of code to produce p-values for lmer models, but not glmer models. Here is my model structure:
> Int.litter<-glmer(litter_size~maternal_mass*repro_status + (1|maternal_id), family=binomial, data=litter).
> I'd greatly appreciate any help.
> 	[[alternative HTML version deleted]]
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