glmperm: A Permutation of Regressor Residuals Test for Inference in Generalized Linear Models

Authors

Wiebke Werft, German Cancer Research Center
Axel Benner, German Cancer Research Center

Date of this Version

6-2010

Document Type

Article

Citation

The R Journal (June 2010) 2(1)

Comments

Copyright 2010, The R Foundation. Open access material. License: CC BY 3.0 Unported

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 per mutation 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 where more than one covariate is involved.