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✨
DESCRIPTION |NEWS
card.svg |card.png
PPSFS/json (API)

# 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 510 downloads 3 exports 11 dependencies

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

Target	Result	Time
linux-devel-arm64	OK	135
linux-devel-x86_64	OK	131
source / vignettes	OK	142
linux-release-arm64	OK	140
linux-release-x86_64	OK	131
macos-release-arm64	OK	89
macos-release-x86_64	OK	186
macos-oldrel-arm64	OK	129
macos-oldrel-x86_64	OK	215
windows-devel	OK	103
windows-release	OK	96
windows-oldrel	OK	100
wasm-release	OK	138