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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "adelie" in publications use:'
type: software
license: MIT
title: 'adelie: Group Lasso and Elastic Net Solver for Generalized Linear Models'
version: 1.0.3
doi: 10.32614/CRAN.package.adelie
abstract: 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 includes The package is an implementation of
  Yang, J. and Hastie, T. (2024) <https://doi.org/10.48550/arXiv.2405.08631>.
authors:
- family-names: Yang
  given-names: James
  email: jamesyang916@gmail.com
- family-names: Hastie
  given-names: Trevor
  email: hastie@stanford.edu
- family-names: Narasimhan
  given-names: Balasubramanian
  email: naras@stanford.edu
repository: https://jamesyang007.r-universe.dev
repository-code: https://github.com/JamesYang007/adelie-r
commit: ea37d8251178f76cc1f8b36ece49da94bda747b6
url: https://github.com/JamesYang007/adelie-r
date-released: '2024-09-04'
contact:
- family-names: Hastie
  given-names: Trevor
  email: hastie@stanford.edu