Package: glmpermu 0.0.1
glmpermu: Permutation-Based Inference for Generalized Linear Models
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.
Authors:
glmpermu_0.0.1.tar.gz
glmpermu_0.0.1.zip(r-4.5)glmpermu_0.0.1.zip(r-4.4)glmpermu_0.0.1.zip(r-4.3)
glmpermu_0.0.1.tgz(r-4.4-any)glmpermu_0.0.1.tgz(r-4.3-any)
glmpermu_0.0.1.tar.gz(r-4.5-noble)glmpermu_0.0.1.tar.gz(r-4.4-noble)
glmpermu_0.0.1.tgz(r-4.4-emscripten)glmpermu_0.0.1.tgz(r-4.3-emscripten)
glmpermu.pdf |glmpermu.html✨
glmpermu/json (API)
# Install 'glmpermu' in R: |
install.packages('glmpermu', repos = c('https://ubcxzhang.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 months agofrom:a6490814ae. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 08 2024 |
R-4.5-win | OK | Nov 08 2024 |
R-4.5-linux | OK | Nov 08 2024 |
R-4.4-win | OK | Nov 08 2024 |
R-4.4-mac | OK | Nov 08 2024 |
R-4.3-win | OK | Nov 08 2024 |
R-4.3-mac | OK | Nov 08 2024 |
Exports:glm.permu
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Permutation-Based Inference for Generalized Linear Models | glm.permu |
Permutation Function | permu |