glmperm: A Permutation of Regressor Residuals Test for Inference in Generalized Linear Models
glmperm: A Permutation of Regressor Residuals Test for Inference in Generalized Linear Models
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glmperm：广义线性模型中推理的回归残差检验的排列
DOI：
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发表时间：
2010
期刊：
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通讯作者：
A. Benner
中科院分区：
文献类型：
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作者：
W. Werft;A. Benner
我们引入了一个新的R包称为glmperm的广义线性模型的推理，特别是对于小型和中型的数据集。该推断基于Potter（2005）引入的回归变量残差检验的置换突变。glm-perm的实现优于目前可用的置换测试软件，因为glmperm可以应用于涉及多个协变量的情况。
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 glm- perm outperforms currently available permuta- tion test software as glmperm can be applied in situations where more than one covariate is in- volved.