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PLStests  

Model Checking for High-Dimensional GLMs via Random Projections
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PLStests", "0.1.0")



Attach the package and use:
library("PLStests")
Maintained by
Wen Chen
[Scholar Profile | Author Map]
First Published: 2025-01-20
Latest Update: 2025-01-20
Description:
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>).
How to cite:
Wen Chen (2025). PLStests: Model Checking for High-Dimensional GLMs via Random Projections. R package version 0.1.0, https://cran.r-project.org/web/packages/PLStests. Accessed 23 Feb. 2025.
Previous versions and publish date:
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Complete documentation for PLStests
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