glmperm: A Permutation of Regressor Residuals Test for Inference in Generalized Linear Models
TL;DRAbstract
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 ( The implementation of glmperm outperforms currently available permutation test software as glmperm can be applied in situations where more than one covariate is involved.
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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 ( The implementation of glmperm outperforms currently available permutation test software as glmperm can be applied in situations where more than one covariate is involved.
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