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>.
Version: 1.0.8 Imports: Matrix, r2r, Rcpp, methods, stringr, utils LinkingTo: Rcpp, RcppEigen Suggests: ggplot2, gridExtra, testthat (≥ 3.0.0), knitr, rmarkdown Published: 2025-07-01 DOI: 10.32614/CRAN.package.adelie Author: James Yang [aut, cph], Trevor Hastie [aut, cph, cre], Balasubramanian Narasimhan [aut] Maintainer: Trevor Hastie <hastie at stanford.edu> BugReports: https://github.com/JamesYang007/adelie-r/issues License: MIT + file LICENSE URL: https://github.com/JamesYang007/adelie-r NeedsCompilation: yes SystemRequirements: C++17 Materials: NEWS CRAN checks: adelie results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=adelie to link to this page.
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