Package: PPSFS 0.1.2

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:Zengchao Xu [aut, cre], Shan Luo [aut], Zehua Chen [aut]

PPSFS_0.1.2.tar.gz
PPSFS_0.1.2.zip(r-4.7)PPSFS_0.1.2.zip(r-4.6)PPSFS_0.1.2.zip(r-4.5)
PPSFS_0.1.2.tgz(r-4.6-x86_64)PPSFS_0.1.2.tgz(r-4.6-arm64)PPSFS_0.1.2.tgz(r-4.5-x86_64)PPSFS_0.1.2.tgz(r-4.5-arm64)
PPSFS_0.1.2.tar.gz(r-4.7-arm64)PPSFS_0.1.2.tar.gz(r-4.7-x86_64)PPSFS_0.1.2.tar.gz(r-4.6-arm64)PPSFS_0.1.2.tar.gz(r-4.6-x86_64)
PPSFS_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PPSFS/json (API)
NEWS

# Install 'PPSFS' in R:

install.packages('PPSFS', repos = c('https://paradoxical-rhapsody.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/paradoxical-rhapsody/ppsfs/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

openblas cpp

3.00 score 1 stars 508 downloads 3 exports 11 dependencies

Last updated from:8303394c47. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	132
linux-devel-x86_64	OK	162
source / vignettes	OK	156
linux-release-arm64	OK	125
linux-release-x86_64	OK	118
macos-release-arm64	OK	110
macos-release-x86_64	OK	303
macos-oldrel-arm64	OK	120
macos-oldrel-x86_64	OK	144
windows-devel	OK	115
windows-release	OK	109
windows-oldrel	OK	113
wasm-release	OK	110