Goodness of Fit Tests for High-Dimensional Linear Regression
Models
Description
Performs goodness of fits tests for both high and low-dimensional linear models.
It can test for a variety of model misspecifications including nonlinearity and heteroscedasticity.
In addition one can test the significance of potentially large groups of variables, and also
produce p-values for the significance of individual variables in high-dimensional linear
regression.