Wald tests GLMM with glmer
Dear Thomas, There are others on this list who are more knowledgeable than me, but I can suggest a couple things:
I couldn't use mcmcsamp function neither mcsamp function. What are the other possibilities ?
With the new lme4, try: ? bootMer
Finally, I tried to use MCMCglmm package, despite my poor familiarity with these techniques (maybe a mistake). When specifying family="categorical" (as my response variable is binary) the plot of the traces were really bad , while there were really better with family="gaussian". Does it make any sense ? Not really to me ... Moreover, I also have a problem with one of the 2 random effects (traces stucked at zero). It has only 5 levels and I think I read that there might some problems with random effects with few levels.
Five levels is not enough. In most instances, I think, you need at least 20, and ideally more than that. Though it depends on the context, and to some extent who you ask.
How to deal with this kind of problem ?
Could you turn this random classification into a series of fixed effects, using dummy variables? Hope that's useful. - Malcolm