[R] zero random effect sizes with binomial lmer

Gregor Gorjanc gregor.gorjanc at bfro.uni-lj.si
Sun Dec 31 22:58:30 CET 2006


Daniel Ezra Johnson <johnson4 <at> babel.ling.upenn.edu> writes:
...
> More broadly, is it hopeless to analyze this data in this manner, or  
> else, what should I try doing differently? It would be very useful to  
> be able to have reliable estimates of random effect sizes, even when  
> they are rather small.
...

You might try with mcmcsamp to get a better view of posterior distributions of
your parameters. It might be the case that MLE for item variance is near 0, while
its posterior distribution covers also values that are higher than 0.

Gregor



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