Nothing
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>).
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Wen Chen [aut, cre], Jie Liu [aut], Heng Peng [aut], FaLong Tan [aut], Lixing Zhu [aut] |
| Maintainer | Wen Chen <tlqdcw@gmail.com> |
| License | GPL-3 |
| Version | 0.1.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the PLStests package in your browser
Any scripts or data that you put into this service are public.
