Package: PPSFS
Type: Package
Title: Partial Profile Score Feature Selection in High-Dimensional
        Generalized Linear Interaction Models
Version: 0.1.2
Authors@R: c(
    person("Zengchao", "Xu", role = c("aut", "cre"), email = "zengc.xu@aliyun.com"),
    person("Shan", "Luo",    role="aut"),
    person("Zehua", "Chen",  role="aut"))
Maintainer: Zengchao Xu <zengc.xu@aliyun.com>
Description: 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>).
URL: https://github.com/paradoxical-rhapsody/PPSFS
BugReports: https://github.com/paradoxical-rhapsody/PPSFS/issues
Imports: Rcpp, brglm2, stats
LinkingTo: Rcpp, RcppArmadillo
License: GPL-3
Encoding: UTF-8
Language: en-US
Roxygen: list(load="source", markdown=TRUE)
RoxygenNote: 7.3.3
Repository: https://paradoxical-rhapsody.r-universe.dev
Date/Publication: 2025-12-29 10:00:56 UTC
RemoteUrl: https://github.com/paradoxical-rhapsody/ppsfs
RemoteRef: HEAD
RemoteSha: 8303394c4783aa79cd84e8749a312b8ade563b55
NeedsCompilation: yes
Packaged: 2026-07-04 13:58:20 UTC; root
Author: Zengchao Xu [aut, cre],
  Shan Luo [aut],
  Zehua Chen [aut]