I've just been using lme4.0 in R for the first time to create a GLMM, its a poisson GLM with 3 predictors and a random intercept, 336 observation of 42 subjects.
glmer(Bh~FORAGE + TEMP +X250PCURB+ (1|TRANSECT), data = bees, family =poisson)
I'm used to using lm() and glm() and diagnostic plots are very simple to produce:
how do I produce similar plots or otherwise check that there is no trend in the residuals or leverage issues?
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