[EXTERNAL] Extracting a p-value for a random effect in glmer
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 at 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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