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

[Philippi, Tom]

Eric--
Ben Bolker has kindly covered that in his useful Mixed Models FAQ:
http://bbolker.github.io/mixedmodels-misc/glmmFAQ.html#testing-significance-of-random-effects


Tom

"To do science is to search for repeated patterns, not simply to accumulate
facts..."   --Robert MacArthur 1972, Geographical Ecology
"Statistical methods of analysis are intended to aid the interpretation of
data that are subject to appreciable haphazard variability"    --Cox &
Hinkley 1974; Theoretical Statistics

-------------------------------------------
Tom Philippi
Quantitative Ecologist & Data Therapist
Inventory and Monitoring Program
National Park Service


On Tue, Sep 18, 2018 at 11:04 AM Michel, Eric <Eric.Michel using sdstate.edu>
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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>
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