On Mon, 25 Aug 2008, jebyrnes wrote:
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.
Also if you are setting variances to zero ....
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-- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ 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.
