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. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
