What is GLMs?

Generalized Linear Models (GLMs) are a flexible generalization of ordinary linear regression that allows for response variables that have error distribution models other than a normal distribution. They are commonly used for regression analysis when the response variable is not normally distributed, such as count data (Poisson regression), binary data (logistic regression), or positive data (gamma regression).