Package: grpreg
Title: Regularization Paths for Regression Models with Grouped
        Covariates
Version: 3.6.0
Authors@R: c(
  person("Patrick", "Breheny", role=c("aut","cre"), email="patrick-breheny@uiowa.edu", comment=c(ORCID="0000-0002-0650-1119")),
  person("Yaohui", "Zeng", role="ctb"),
  person("Ryan", "Miller", role="aut", comment=c(ORCID="0000-0003-0446-9992")),
  person("Ryan", "Kurth", role="ctb"))
Description: Efficient algorithms for fitting the regularization path
        of linear regression, GLM, and Cox regression models with
        grouped penalties.  This includes group selection methods such
        as group lasso, group MCP, and group SCAD as well as bi-level
        selection methods such as the group exponential lasso, the
        composite MCP, and the group bridge.  For more information, see
        Breheny and Huang (2009) <doi:10.4310/sii.2009.v2.n3.a10>,
        Huang, Breheny, and Ma (2012) <doi:10.1214/12-sts392>, Breheny
        and Huang (2015) <doi:10.1007/s11222-013-9424-2>, and Breheny
        (2015) <doi:10.1111/biom.12300>, or visit the package homepage
        <https://pbreheny.github.io/grpreg/>.
License: GPL-3
URL: https://pbreheny.github.io/grpreg/,
        https://github.com/pbreheny/grpreg
BugReports: https://github.com/pbreheny/grpreg/issues
Depends: R (>= 3.1.0)
Imports: Matrix
Suggests: knitr, rmarkdown, splines, survival, tinytest
VignetteBuilder: knitr
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Config/roxygen2/version: 7.3.3.9000
Repository: https://pbreheny.r-universe.dev
Date/Publication: 2026-06-24 21:25:41 UTC
RemoteUrl: https://github.com/pbreheny/grpreg
RemoteRef: HEAD
RemoteSha: 3a93cf6c604dbb8466be68cfd4600084bbd11009
NeedsCompilation: yes
Packaged: 2026-06-24 22:17:15 UTC; root
Author: Patrick Breheny [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0650-1119>),
  Yaohui Zeng [ctb],
  Ryan Miller [aut] (ORCID: <https://orcid.org/0000-0003-0446-9992>),
  Ryan Kurth [ctb]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>