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glmpermu  

Permutation-Based Inference for Generalized Linear Models
View on CRAN: Click here


Download and install glmpermu package within the R console
Install from CRAN:
install.packages("glmpermu")

Install from Github:
library("remotes")
install_github("cran/glmpermu")

Install by package version:
library("remotes")
install_version("glmpermu", "0.0.1")



Attach the package and use:
library("glmpermu")
Maintained by
Xuekui Zhang
[Scholar Profile | Author Map]
First Published: 2024-03-12
Latest Update: 2024-03-12
Description:
In practical applications, the assumptions underlying generalized linear models frequently face violations, including incorrect specifications of the outcome variable's distribution or omitted predictors. These deviations can render the results of standard generalized linear models unreliable. As the sample size increases, what might initially appear as minor issues can escalate to critical concerns. To address these challenges, we adopt a permutation-based inference method tailored for generalized linear models. This approach offers robust estimations that effectively counteract the mentioned problems, and its effectiveness remains consistent regardless of the sample size.
How to cite:
Xuekui Zhang (2024). glmpermu: Permutation-Based Inference for Generalized Linear Models. R package version 0.0.1, https://cran.r-project.org/web/packages/glmpermu. Accessed 03 May. 2025.
Previous versions and publish date:
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