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

[Phillip Alday]

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?

Phillip

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.
> 
> 
> 
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