Package: regnet
Type: Package
Title: Network-Based Regularization for Generalized Linear Models
Version: 1.0.2
Authors@R: c(
  person(given = "Jie", family = "Ren", role = c("aut", "cre"),
         email = "renjie0910@gmail.com"),
  person(given = c("Luann", "C."), family = "Jung", role = "aut"),
  person(given = "Yinhao", family = "Du", role = "aut"),
  person(given = "Cen", family = "Wu", role = "aut"),
  person(given = "Yu", family = "Jiang", role = "aut"),
  person(given = "Junhao", family = "Liu", role = "aut"))
Maintainer: Jie Ren <renjie0910@gmail.com>
Description: Network-based regularization has achieved success in
        variable selection for high-dimensional biological data due to
        its ability to incorporate correlations among genomic features.
        This package provides procedures of network-based variable
        selection for generalized linear models (Ren et al. (2017)
        <doi:10.1186/s12863-017-0495-5> and Ren et al.(2019)
        <doi:10.1002/gepi.22194>). Continuous, binary, and survival
        response are supported. Robust network-based methods are
        available for continuous and survival responses.
Depends: R (>= 4.0.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: glmnet, stats, Rcpp, igraph, utils
URL: https://github.com/jrhub/regnet
BugReports: https://github.com/jrhub/regnet/issues
RoxygenNote: 7.3.2
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, covr
NeedsCompilation: yes
Packaged: 2026-11-02 09:22:31 UTC; root
Author: Jie Ren [aut, cre], Luann C. Jung [aut], Yinhao Du [aut], Cen
        Wu [aut], Yu Jiang [aut], Junhao Liu [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2025-02-10 01:56:33 UTC
RemoteUrl: https://github.com/cran/regnet
RemoteRef: HEAD
RemoteSha: 77c400d7db90b195b744567c2580252c34a46285