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cff-version: 1.2.0
message: 'To cite package "fasterElasticNet" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'fasterElasticNet: An Amazing Fast Way to Fit Elastic Net'
version: 1.1.2
doi: 10.32614/CRAN.package.fasterElasticNet
abstract: Fit Elastic Net, Lasso, and Ridge regression and do cross-validation in
  a fast way. We build the algorithm based on Least Angle Regression by Bradley Efron,
  Trevor Hastie, Iain Johnstone, etc. (2004)(<https://doi.org/10.1214/009053604000000067
  >) and some algorithms like Givens rotation and Forward/Back Substitution. In this
  way, many matrices to be computed are retained as triangular matrices which can
  eventually speed up the computation. The fitting algorithm for Elastic Net is written
  in C++ using Armadillo linear algebra library.
authors:
- family-names: Ma
  given-names: Jingyi
  email: jingyima@163.com
- family-names: Zuo
  given-names: Linyu
  email: zuozhe5959@gmail.com
repository: https://CRAN.R-project.org/package=fasterElasticNet
repository-code: https://github.com/CUFESAM/Elastic-Net
url: https://github.com/CUFESAM/Elastic-Net
date-released: '2018-08-01'
contact:
- family-names: Zuo
  given-names: Linyu
  email: zuozhe5959@gmail.com