The R Journal: article published in 2010, volume 2:1

glmperm: A Permutation of Regressor Residuals Test for Inference in Generalized Linear Models
Wiebke Werft and Axel Benner , The R Journal (2010) 2:1, pages 39-43.

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 where more than one covariate is involved.

@article{RJ-2010-007,
  author = {Wiebke Werft and Axel Benner},
  title = {{glmperm: A Permutation of Regressor Residuals Test for
          Inference in Generalized Linear Models}},
  year = {2010},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2010-007},
  url = {https://doi.org/10.32614/RJ-2010-007},
  pages = {39--43},
  volume = {2},
  number = {1}
}