extracting p values for main effects of binomial glmm

________________________________________ From: R-sig-mixed-models 
[r-sig-mixed-models-bounces at r-project.org] on behalf of Megan
Kutzer [makutzer at gmail.com] Sent: Wednesday, March 04, 2015 3:11 PM
To: r-sig-mixed-models at r-project.org Subject: [R-sig-ME] extracting
p values for main effects of binomial glmm

Hi,

I'm fairly new to mixed models and have done a lot of reading
without much success. Unfortunately there is no one at my
institution who is really familiar with them so I thought I would
try this list.

I'm running a binomial generalized linear mixed effects model and
I need p-values for the main effects. I know this isn't entirely 
correct with this type of model but my supervisor wants the 
p-values!

The model is:

glmer (Proportion hatched ~ Diet * Infection status * Day + 
(1|SubjectID) + (1|Day), family=binomial)

where,

Proportion hatched = cbind(Offspring, Eggs-Offspring) Diet is a 
factor with 2 levels Infection status is a factor with 4 levels
Day is a factor with 3 levels

Using Subject ID number and Day as random effects is supposed to 
control for pseudoreplication in the model, although I am not 
entirely sure that this is specified in the correct way. I wanted
to include experimental replicate here too but the model failed to 
converge.

My question is: is there a way to get p-values for the main fixed 
effects of Diet, Infection and Day?

If you need more specific model information or the model output I 
would be happy to provide it.

Thanks, Megan

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