Distribution-Free Goodness-of-Fit Testing for Regression

Implements the distribution-free goodness-of-fit regression testing procedure, introduced by Estate Khmaladze (2021, ) to test whether or not the mean structure of a parametric model belongs to a specified model family. The test is implemented for general mean functions with minimal distributional assumptions as well as common models (e.g., lm, glm) with the usual model assumptions.