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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "RSO" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'RSO: Ridge Selection Operator for Sparse Linear Regression'
version: 1.0.0
abstract: Implements the Ridge Selection Operator (RSO) for variable selection in
  linear regression as proposed by Wu (2021) <https://doi.org/10.1080/00401706.2020.1791254>.
  The RSO method extends classical ridge regression by using individually penalized
  ridge parameters, inducing sparsity through reciprocal penalty parameters. This
  package provides a fast C++ implementation ('RSOFast') using 'Armadillo' linear
  algebra routines. The fast implementation precomputes matrix products, uses Cholesky
  factorization with primal/dual switching, and performs golden-section search for
  coordinate optimization.
authors:
- family-names: Genc
  given-names: Murat
  email: mgenc@cu.edu.tr
- family-names: Lukman
  given-names: Adewale
  email: adewale.lukman@und.edu
repository: https://cran.r-universe.dev
commit: 9de59d1f429827a96e5ce12f147b30fb1af11323
date-released: '2026-07-06'
contact:
- family-names: Genc
  given-names: Murat
  email: mgenc@cu.edu.tr