Scaling of the overdispersion in negative binomial models

Great! The doc on the link of shape says “if predicted” which we don’t do in this situation. Since this question has come up multiple times now, I will adjust the doc to make this clearer.

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With regard to other families, it is certaintly implementable for some of them, if they have a closed form expression of the sum distribution, such as for exponential and gamma. However, until someone actually requires it, I don’t want to invest the time figuring the details out for each family.

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You may want to look at this paper:

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Hello, just wondering, is it not the same as to talk something similar to quasi-Poisson when the rate is scaled with N? When it is not scaled, then it is Neg. Binomial.