Are there any R functions that allow you to easily compare quasi-Poisson and negative binomial models to determine which error distribution is more appropriate for your data? Or - does this require writing a simulation from scratch?
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Already asked here: https://stats.stackexchange.com/questions/378901/compairing-the-fit-of-quasi-poisson-and-negative-binomial-models – kjetil b halvorsen Mar 05 '19 at 16:12