Glmperm: A permutation of regressor residuals test for inference in generalized linear models

Abstract

We introduce a new R package called glmperm for inference in generalized linear models especially for small and moderate-sized data sets. The inference is based on the permutation of regressor residuals test introduced by Potter (2005). The implementation of glmperm outperforms currently available permutation test software as glmperm can be applied in situations wheremore than one covariate is involved.