By the way, my concern with lmer and glmer is that they don't produce p-values, and the techniques used to approximate the p-values with those functions (pvals.fnc, HPDinterval, mcmcsamp, etc.) only apply to Gaussian distributions. Given that I would likely be working with quasi-poisson distributions, is there a good alternative mixed effects modeling approach that would output significance values? Thanks! -- View this message in context: http://n4.nabble.com/Multilevel-modeling-with-count-variables-tp1692632p1692960.html Sent from the R help mailing list archive at Nabble.com.
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