Package: lmSubsets
Version: 0.5-4
Date: 2026-01-15
Title: Exact Variable-Subset Selection in Linear Regression
Authors@R: c(person(given = "Marc", family = "Hofmann",
                    role  = c("aut", "cre"),
                    email = "marc.hofmann@gmail.com"),
             person(given = "Cristian", family = "Gatu",
                    role  = "aut",
                    email = "cgatu@info.uaic.ro"),
             person(given = "Erricos J.", family = "Kontoghiorghes",
                    role = "aut",
                    email = "erricos@dcs.bbk.ac.uk"),
             person(given = "Ana", family = "Colubi",
                    role = "aut",
                    email = "ana.colubi@gmail.com"),
             person(given = "Achim", family = "Zeileis",
                    role = "aut",
                    email = "Achim.Zeileis@R-project.org",
                    comment = c(ORCID = "0000-0003-0918-3766")),
             person(given = "Martin", family = "Moene",
                    role = "cph",
                    comment = "for the GSL Lite library"),
             person(given = "Microsoft Corporation",
                    role = "cph",
                    comment = "for the GSL Lite library"))
Maintainer: Marc Hofmann <marc.hofmann@gmail.com>
Description: Exact and approximation algorithms for variable-subset
        selection in ordinary linear regression models.  Either compute
        all submodels with the lowest residual sum of squares, or
        determine the single-best submodel according to a
        pre-determined statistical criterion.  Hofmann et al. (2020)
        <doi:10.18637/jss.v093.i03>.
Depends: R (>= 3.5.0)
SystemRequirements: C++17,
Imports: stats, graphics, utils
License: GPL (>= 3)
URL: https://github.com/marc-hofmann/lmSubsets.R
NeedsCompilation: yes
Packaged: 2026-10-25 10:21:14 UTC; root
Author: Marc Hofmann [aut, cre], Cristian Gatu [aut], Erricos J.
        Kontoghiorghes [aut], Ana Colubi [aut], Achim Zeileis [aut]
        (ORCID: <https://orcid.org/0000-0003-0918-3766>), Martin Moene
        [cph] (for the GSL Lite library), Microsoft Corporation [cph]
        (for the GSL Lite library)
Repository: https://cran.r-universe.dev
Date/Publication: 2026-01-15 13:09:50 UTC
RemoteUrl: https://github.com/cran/lmSubsets
RemoteRef: HEAD
RemoteSha: 5e64b3b78c5d31cdbb8bd8e5df95f81a3e057fa0