Package: PPSFS
Type: Package
Title: Partial Profile Score Feature Selection in High-Dimensional
        Generalized Linear Interaction Models
Version: 0.1.3
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
RoxygenNote: 7.3.3
NeedsCompilation: yes
Packaged: 2026-10-05 11:23:49 UTC; root
Author: Zengchao Xu [aut, cre], Shan Luo [aut], Zehua Chen [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2026-04-11 10:58:04 UTC
RemoteUrl: https://github.com/cran/PPSFS
RemoteRef: HEAD
RemoteSha: 73dba0fea52a67c7b83ccbb4acdd182f508e0362