Hi all,
We have count data, but it appears that this is overdispersed. Therefore the assumed Poisson distribution should be replaced by a quasi-Poisson or a negative binomial.... moreHi all,
We have count data, but it appears that this is overdispersed. Therefore the assumed Poisson distribution should be replaced by a quasi-Poisson or a negative binomial. Although there is some literature around this topic (for instance see http://fisher.utstat.toronto.edu/reid/sta2201s/QUASI-POISSON.pdf), it is rather technical, and we were wondering if there is a pragmatic approach in R to determine whether to use Poisson, quiasi-Poisson or negative binomial as the underlying distribution of the response data?
Thanks in advance! less