Sparse Generalized Linear Model with L0 Approximation for Feature Selection R package l0ara version 0.1.7 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. Software Imports: Rcpp (>= 0.12.6) LinkingTo: Rcpp, RcppArmadillo Wenchuan Guo <wguo1017@gmail.com> Comprehensive R Archive Network (CRAN) Wenchuan Guo [aut, cre], Shujie Ma [aut], Zhenqiu Liu [aut] GPL-2 2026-04-27 application/tgz https://CRAN.R-project.org/package=l0ara doi:10.32614/CRAN.package.l0ara