[R] Multilevel modeling with count variables

[dadrivr]

Thanks everyone for the helpful ideas.  It appears that this will be more
difficult than I thought.  I don't necessary have an inclination toward
p-values, but many journals certainly do.  I would be willing to try to
calculate the confidence intervals around the estimates, but I haven't
gotten any functions to work when applied to glmer & (quasi-)poisson
distributions.  Alternatively, it appears that I could look at using model
comparison, Bayesian (BUGS), or other software (SAS/Stata).  Model
comparison seems a little inadequate for reporting on fixed effects.  I'm
not yet very familiar with Bayesian approaches, so I would prefer to avoid
that direction -- at least for now.  As for other software, I may very well
end up using SAS for confirmatory analysis (and potentially reporting), but
for exploratory analysis, I'd prefer to stick with R to continue to learn
about the ever-advancing approach to analyzing statistics.  I'm still a
novice with R, but I recognize that its flexibility and user community will
make it a strong statistics package now and into the future.  Thanks again
guys!
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