Dear list members,
I am fitting a negative binomial model but I get a very large dispersion
parameter. Why is that?
quine.nb2 - glm.nb(Pt ~ Agua + Dist10, data = Abundancia)
summary(quine.nb2)
Deviance Residuals:
Min1QMedian3Q Max
-2.20911 -0.67157 0.04411
Hi Manuel,
This means that your data is closer to Poisson.
Here is an example where I simulate Poisson data and try to fit the NB
distribution. I get behavior from glm.nb that is similar to your results (large
dispersion parameter and warning about iteration limit reached).
x=rep(1:5, 10)
Thank you very much Mollie.
Best,
Manuel
2013/2/3 Mollie Brooks mbro...@ufl.edu
Hi Manuel,
This means that your data is closer to Poisson.
Here is an example where I simulate Poisson data and try to fit the NB
distribution. I get behavior from glm.nb that is similar to your results
