Package: PPSFS 0.1.3
Zengchao Xu
PPSFS: Partial Profile Score Feature Selection in High-Dimensional Generalized Linear Interaction Models
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>.
Authors:
PPSFS_0.1.3.tar.gz
PPSFS_0.1.3.zip(r-4.7-x86_64)PPSFS_0.1.3.zip(r-4.7-arm64)PPSFS_0.1.3.zip(r-4.6-x86_64)PPSFS_0.1.3.zip(r-4.6-arm64)
PPSFS_0.1.3.tar.gz(r-4.7-arm64)PPSFS_0.1.3.tar.gz(r-4.7-x86_64)PPSFS_0.1.3.tar.gz(r-4.6-arm64)PPSFS_0.1.3.tar.gz(r-4.6-x86_64)
PPSFS_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PPSFS/json (API)
| # Install 'PPSFS' in R: |
| install.packages('PPSFS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/paradoxical-rhapsody/ppsfs/issues
Last updated from:73dba0fea5. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 134 | ||
| linux-devel-x86_64 | OK | 106 | ||
| source / vignettes | OK | 148 | ||
| linux-release-arm64 | OK | 92 | ||
| linux-release-x86_64 | OK | 112 | ||
| windows-devel-arm64 | OK | 212 | ||
| windows-devel-x86_64 | OK | 144 | ||
| windows-release-arm64 | OK | 186 | ||
| windows-release-x86_64 | OK | 148 | ||
| wasm-release | OK | 97 |
Dependencies:brglm2enrichwithlatticeMASSMatrixnleqslvnnetnumDerivRcppRcppArmadillostatmod
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Partial Profile Score Feature Selection for GLMs | PPS-method ppsfs ppsfsi |
| Partial Profile Score Feature Selection for GLMs | ppsfs.fit |