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: 2026-04-10 11:05:51 UTC; zengchao
Author: Zengchao Xu [aut, cre],
  Shan Luo [aut],
  Zehua Chen [aut]
Repository: CRAN
Date/Publication: 2026-04-11 09:20:14 UTC
Built: R 4.5.2; x86_64-apple-darwin20; 2026-04-11 10:43:05 UTC; unix
Archs: PPSFS.so.dSYM
