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.
 
Many thanks
 
John
	[[alternative HTML version deleted]]

