The idea of GLMs is that given some covariates, has a distribution in the exponential family (Gaussian, Poisson, Gamma, etc). But that does not mean that has a similar distribution… so there is no reason to test for a Gamma model for before running a Gamma regression, for instance. But are there cases where it might work? That the non-conditional distribution is...