Package: PPSFS 0.1.0
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 (2021, <doi:10.4310/21-SII706>).
Authors:
PPSFS_0.1.0.tar.gz
PPSFS_0.1.0.tar.gz(r-4.5-noble)PPSFS_0.1.0.tar.gz(r-4.4-noble)
PPSFS_0.1.0.tgz(r-4.4-emscripten)PPSFS_0.1.0.tgz(r-4.3-emscripten)
PPSFS.pdf |PPSFS.html✨
PPSFS/json (API)
NEWS
| # 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 3 years agofrom:30b1722fc4. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 20 2024 |
| R-4.5-linux-x86_64 | NOTE | Sep 20 2024 |
Dependencies:brglm2enrichwithlatticeMASSMatrixnnetnumDerivRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Partial Profile Score Feature Selection for GLMs | PPS-method ppsfs ppsfsi |