Have you thought about using AIC weights? As long as you are not considering models where you drop your random effects, calculating AIC values (or AICc values) and doing multimodel inference is one way to approach your problem.
If you are fitting models with and without random effects, it gets trickier - see Vaida and Blanchard 2005 Biometrika. -Jarrett -- View this message in context: http://www.nabble.com/lmer4-and-variable-selection-tp19146850p19147125.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
