[R] Include Random Effects in Poisson Regressing (Nested Data)
el_alisio
malnamalja at gmx.de
Sat Mar 29 19:52:46 CET 2014
Hi,
one way to include a random effect would be:
require("lme4")
mymodel <- lmer(counts ~ Season + Rainfall + (1 | Year), family =
quasipoisson, data = mydata)
Nevertheless, there are other ways to include a random effect using R.
In any case, you need to provide justification why you are using a
quasipoisson method as this is just a quick-and-dirty solution for
overdispersion. Furthermore, there have been already various discussions on
random effects and poisson models. Please have a look at them before posting
a comment. Additionally, there are some excellent books on mixed-effects
models with R (e.g., Zuur et al., 2009).
Cheers,
Jannes
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