[R-sig-ME] Evaluating the significance of the random effects in GLMM

[Ben Bolker]

Gabriela Agostini <gabrielaagostini18 at ...> writes:

> 
> Hi all!
> 
> I am working with GLMM using the binomial family
> I use the following codes
> 
> I dropped no significant terms, refitting the model and comparing the
> changes with likelihood:
> 
> G.1<-lmer(data$Ymat~stu+spi+stu*sp1+(1|ber),data=data,family="binomial")
> 
> G.1b<-lmer(data$Ymat~stu+spi+(1|ber),data=data,family="binomial")
> 
> anova (G.1,G.2)
> 
> But, when I want to evaluate the significance of random effect (1|ber)
> I cannot use a likelihood-ratio test, probably because the link
> function of both models is different.
> 

  Please don't cross-post between r-help and r-sig-mixed-models ...
I gave a partial answer to your question on r-help
( http://article.gmane.org/gmane.comp.lang.r.general/285341 )
but indicated that we need more information before we can answer.

  Follow-up here, not on r-help.

 Ben Bolker