Generalized linear models are the workhorse of many inferential problems. Also in modern era with high-dimensional settings, such have been proven to be effective exploratory tools. Most attention has paid Gaussian, binomial and Poisson which efficient computational implementations where either dispersion parameter is largely irrelevant or absent. However, general GLMs parameters $\phi$ that af...