Message-ID: <CALNBOCMH_ESPJOVL0n2kkjWjz8su7zLPs3ShT+gkm_mWAimuDQ@mail.gmail.com>
Date: 2013-01-23T17:46:27Z
From: Gabriela Agostini
Subject: Evaluating the significance of the random effects in GLMM
In-Reply-To: <loom.20130123T160316-924@post.gmane.org>
Thanks!
The comments and the information provided were extremely helpful to me.
According to DRAFT r-sig-mixed-models FAQ, "do not compare lmer models
with the corresponding lm fits, or glmer/glm; the log-likelihoods are
not commensurate". The problem is not the link function but rather the
different additive terms.
Maybe, I made a mistake in explaining my problem
I want to compare Model A whit model B in order to evaluate the
significance of the random effects.
A<-lmer(Ymat~stu+spi+(1|ber),data=data,family="binomial")
B<-glm(Ymat~stu+spi,family="binomial",data=data)
I'm looking for an alternative way.
I made these questions to r-sig-mixed-models at r-project.org as you recommended.
Thanks again for your time!
Gabriela