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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>).
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | glmnet, harmonicmeanp, MASS, psych, stats |
| Published: | 2025-01-14 |
| DOI: | 10.32614/CRAN.package.PLStests |
| Author: | Wen Chen [aut, cre], Jie Liu [aut], Heng Peng [aut], FaLong Tan [aut], Lixing Zhu [aut] |
| Maintainer: | Wen Chen <tlqdcw at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | PLStests results |
| Reference manual: | PLStests.pdf |
| Package source: | PLStests_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: PLStests_0.1.0.zip |
| macOS binaries: | r-release (arm64): PLStests_0.1.0.tgz, r-oldrel (arm64): PLStests_0.1.0.tgz, r-release (x86_64): PLStests_0.1.0.tgz, r-oldrel (x86_64): PLStests_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.