Package: PLStests 0.1.0
Wen Chen
PLStests: Model Checking for High-Dimensional GLMs via Random Projections
Provides methods for testing the goodness-of-fit of generalized linear models (GLMs) using random projections. It is specifically designed for high-dimensional scenarios where the number of predictors substantially exceeds the sample size. The statistical methodologies implemented in this package are detailed in the paper by Wen Chen and Falong Tan (2024, <doi:10.48550/arXiv.2412.10721>).
Authors:
PLStests_0.1.0.tar.gz
PLStests_0.1.0.tar.gz(r-4.5-noble)PLStests_0.1.0.tar.gz(r-4.4-noble)
PLStests_0.1.0.tgz(r-4.4-emscripten)PLStests_0.1.0.tgz(r-4.3-emscripten)
PLStests.pdf |PLStests.html✨
PLStests/json (API)
| # Install 'PLStests' in R: |
| install.packages('PLStests', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- sonar_mines - Example Dataset: sonar_mines
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 hours agofrom:1723bd864f. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 14 2025 |
| R-4.5-linux | OK | Jan 14 2025 |
Exports:PLStests
Dependencies:codetoolsFMStableforeachglmnetGPArotationharmonicmeanpiteratorslatticeMASSMatrixmnormtnlmepsychRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Model checking for high dimensional generalized linear models based on random projections | PLStests |
| Example Dataset: sonar_mines | sonar_mines |
