# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "l0ara" in publications use:' type: software license: GPL-2.0-only title: 'l0ara: Sparse Generalized Linear Model with L0 Approximation for Feature Selection' version: 0.1.7 doi: 10.32614/CRAN.package.l0ara abstract: Fits sparse generalized linear models using an adaptive ridge approximation to an L0 penalty. Supported model families include Gaussian, logistic, Poisson, gamma, and inverse Gaussian regression. The package also provides cross-validation for selecting the penalty parameter. authors: - family-names: Guo given-names: Wenchuan email: wguo1017@gmail.com - family-names: Ma given-names: Shujie - family-names: Liu given-names: Zhenqiu repository: https://wgost.r-universe.dev commit: 1cb2c0bf3deb6974238ad7b0c812d9c2aff467cd date-released: '2026-04-25' contact: - family-names: Guo given-names: Wenchuan email: wguo1017@gmail.com