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
Hello!
I want to fit a dataset with a sum of two distribution: Gaussin + Poisson.
The dataset can have up to 3000 numbers, this should be enough for reasonable fitting. Is there... moreHello!
I want to fit a dataset with a sum of two distribution: Gaussin + Poisson.
The dataset can have up to 3000 numbers, this should be enough for reasonable fitting. Is there any convenient way to do it without programming? For example, with Origin software? Or RStudio?