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prediction for linear mixed model
2 messages · array chip, Ben Bolker
array chip <arrayprofile <at> yahoo.com> writes:
Hi, I am wondering if we can make prediction on a linear mixed model by lmer() from lme4 package?
Specifically I am fitting a very simple glmer() with binomial family distribution, and want to see if I can get the predicted probability like that in regular logistic regression?
fit<-glmer(y~x+(1|id),dat,family=binomial)
where y is the response variable (0, 1), and x is a continuous variable. I would like to get a predicted probability at a given value of x.
See (1) code on http://glmm.wikidot.com/faq for this precise task, and (2) the 'predict' method in the bleeding-edge development version (lme4Eigen). This question is probably slightly better suited for the r-sig-mixed-models <at> r-project.org mailing list.