Package: adelie
Title: Group Lasso and Elastic Net Solver for Generalized Linear Models
Version: 1.0.10
Date: 2026-06-03
Authors@R: c(
    person("James", "Yang", role = c("aut", "cph")),
    person("Trevor", "Hastie", email="hastie@stanford.edu", role = c("aut", "cph", "cre")),
    person("Balasubramanian", "Narasimhan", role = c("aut")))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
LinkingTo: Rcpp, RcppEigen
SystemRequirements: C++17
Imports: Matrix, r2r, Rcpp, methods, stringr, utils
Suggests: ggplot2, gridExtra, testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/JamesYang007/adelie-r
BugReports: https://github.com/JamesYang007/adelie-r/issues
Config/pak/sysreqs: libicu-dev
Repository: https://jamesyang007.r-universe.dev
Date/Publication: 2026-06-04 19:00:36 UTC
RemoteUrl: https://github.com/jamesyang007/adelie-r
RemoteRef: HEAD
RemoteSha: 58de493f51b5b2bbd2e59103c7f895a2eb02661c
NeedsCompilation: yes
Packaged: 2026-07-04 09:20:04 UTC; root
Author: James Yang [aut, cph],
  Trevor Hastie [aut, cph, cre],
  Balasubramanian Narasimhan [aut]
Maintainer: Trevor Hastie <hastie@stanford.edu>