Group Lasso and Elastic Net Solver for Generalized Linear Models R package adelie version 1.0.10 Extremely efficient procedures for fitting the entire group lasso and group elastic net regularization path for GLMs, multinomial, the Cox model and multi-task Gaussian models. Similar to the R package 'glmnet' in scope of models, and in computational speed. This package provides R bindings to the C++ code underlying the corresponding Python package 'adelie'. These bindings offer a general purpose group elastic net solver, a wide range of matrix classes that can exploit special structure to allow large-scale inputs, and an assortment of generalized linear model classes for fitting various types of data. The package is an implementation of Yang, J. and Hastie, T. (2024) <doi:10.48550/arXiv.2405.08631>. Software Imports: Matrix, r2r, Rcpp, methods, stringr, utils LinkingTo: Rcpp, RcppEigen Suggests: ggplot2, gridExtra, testthat (>= 3.0.0), knitr, rmarkdown Trevor Hastie <hastie@stanford.edu> Comprehensive R Archive Network (CRAN) James Yang [aut, cph], Trevor Hastie [aut, cph, cre], Balasubramanian Narasimhan [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=adelie/LICENSE) 2026-06-03 application/tgz https://CRAN.R-project.org/package=adelie doi:10.32614/CRAN.package.adelie