Hi, does anyone know of an implementation of generalized linear models with random effects, where the random effects are non-gaussian?
Actually, what I need is to do a logistic regression (or binomial regression) where the linear predictor in addition to fixed effects and gaussian random effects also has a term b*z where z is a random effect variable with p(z=1)=p(z=-1)=0.5 and b is a parameter of interest. I am very grateful to you for any help or comments. Sincerely, Line ______________________________________________ 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.
