Package: combss
Type: Package
Title: Continuous Optimisation Towards Best Subset Selection
Version: 0.1.0
Authors@R: c(person(given = "Benoit", family = "Liquet", email = "benoit.liquet@univ-pau.fr", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8136-2294")),person(given = "Anant", family = "Mathur", role = "aut"), person(given = "Sarat", family = "Moka", role = "aut"))
Author: Benoit Liquet [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8136-2294>),
  Anant Mathur [aut],
  Sarat Moka [aut]
Maintainer: Benoit Liquet <benoit.liquet@univ-pau.fr>
Description: Best subset selection in generalised linear models via continuous
    optimisation. Reformulates the NP-hard discrete subset selection problem as
    a continuous optimisation over the hypercube [0,1]^p, solved via a
    Frank-Wolfe homotopy algorithm with closed-form ridge inner solves.
    Supports linear (Gaussian), binary logistic, and multinomial regression.
    For methodological details see Moka, Liquet, Zhu and Muller (2024)
    <doi:10.1007/s11222-024-10387-8> and Mathur, Liquet, Muller and Moka
    (2026) <doi:10.48550/arXiv.2603.21952>.
License: GPL-3
URL: https://github.com/benoit-liquet/combss
Encoding: UTF-8
Imports: glmnet (>= 4.0), stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-06 06:20:54 UTC; benoit
Repository: CRAN
Date/Publication: 2026-05-11 19:10:26 UTC
Built: R 4.5.2; ; 2026-05-11 21:57:42 UTC; unix
