Sparse-Group Lasso via Semismooth Newton Augmented Lagrangian R package sglssnal version 0.1.0 Implements the sparse-group lasso method of Zhang et al. (2020) <doi:10.1007/s10107-018-1329-6>. Unlike many widely available methods based on first-order descent, this method uses second-order information to solve the dual optimization problem via a semismooth Newton method. Software Depends: R (>= 4.4.0) Imports: Matrix, Rcpp, RSpectra, methods, utils LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0) Robin Liu <robin28liu@gmail.com> Comprehensive R Archive Network (CRAN) Robin Liu [aut, cre], Yangjing Zhang [ctb] (Author of the original MATLAB SSNAL implementation this package ports) MIT + file LICENSE (https://CRAN.R-project.org/package=sglssnal/LICENSE) 2026-09-11 application/tgz https://CRAN.R-project.org/package=sglssnal doi:10.32614/CRAN.package.sglssnal en-US