This is an implementation of the partial profile score feature selection (PPSFS) approach to generalized linear (interaction) models. The PPSFS is highly scalable even for ultra-high-dimensional feature space. See the paper by Xu, Luo and Chen (2022, <doi:10.4310/21-SII706>).
| Version: | 0.1.1 |
| Imports: | Rcpp,brglm2 |
| LinkingTo: | Rcpp,RcppArmadillo |
| Published: | 2025-07-04 |
| DOI: | 10.32614/CRAN.package.PPSFS |
| Author: | Zengchao Xu [aut, cre], Shan Luo [aut], Zehua Chen [aut] |
| Maintainer: | Zengchao Xu <zengc.xu at aliyun.com> |
| BugReports: | https://github.com/paradoxical-rhapsody/PPSFS/issues |
| License: | GPL-3 |
| URL: | https://github.com/paradoxical-rhapsody/PPSFS |
| NeedsCompilation: | yes |
| Language: | en-US |
| Materials: | README,NEWS |
| CRAN checks: | PPSFS results |
| Reference manual: | PPSFS.html ,PPSFS.pdf |
| Package source: | PPSFS_0.1.1.tar.gz |
| Windows binaries: | r-devel:PPSFS_0.1.1.zip, r-release:PPSFS_0.1.1.zip, r-oldrel:PPSFS_0.1.1.zip |
| macOS binaries: | r-release (arm64):PPSFS_0.1.1.tgz, r-oldrel (arm64):PPSFS_0.1.1.tgz, r-release (x86_64):PPSFS_0.1.1.tgz, r-oldrel (x86_64):PPSFS_0.1.1.tgz |
| Old sources: | PPSFS archive |
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