# How would you go about modelling Gamma GLM with overdispersion?

In R, you can use quasipoisson or quasibinomial for overdispersed Poisson or Binomial GLMs. But what if you have overdispersed Gamma GLM or other continuous variables?

The gamma already has a dispersion parameter, so there's no "overdispersed" case. It's like the normal in that sense (where $\sigma^2$ is a parameter, so there's no "overdispersed" Gaussian).