simulate

Using R to make sense of the generalised linear model

What is the difference between the errors and the residuals? What does it mean for a model to *predict* something? What is a link function? In the current post, we use four R functions (viz., the `predict`, `fitted`, `residuals` and `simulate` functions) to illustrate the mechanisms and assumptions of the generalised linear model.