When dealing with count data, one consideration is the dispersion. Here is a good post on modeling count data regression in R

Here is a link on dispersion with a few kernels

A comment based on McCullagh and Nelder, with a online course from pennstate explains on the theoretical level. With a special dedication to an R session here

To estimate the dispersion, it is as simple as fit a GLM model with link function chosen accordingly