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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "combss" in publications use:'
type: software
license: GPL-3.0-only
title: 'combss: Continuous Optimisation Towards Best Subset Selection'
version: 0.1.0
abstract: 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) <https://doi.org/10.1007/s11222-024-10387-8>
  and Mathur, Liquet, Muller and Moka (2026) <https://doi.org/10.48550/arXiv.2603.21952>.
authors:
- family-names: Liquet
  given-names: Benoit
  email: benoit.liquet@univ-pau.fr
  orcid: https://orcid.org/0000-0002-8136-2294
- family-names: Mathur
  given-names: Anant
- family-names: Moka
  given-names: Sarat
repository: https://cran.r-universe.dev
repository-code: https://github.com/benoit-liquet/combss
commit: 27b27725d35294f943e1ac131d70739c9beef1af
url: https://github.com/benoit-liquet/combss
date-released: '2026-05-11'
contact:
- family-names: Liquet
  given-names: Benoit
  email: benoit.liquet@univ-pau.fr
  orcid: https://orcid.org/0000-0002-8136-2294