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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 "msaenet" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'msaenet: Multi-Step Adaptive Estimation Methods for Sparse Regressions'
version: 3.1.2.9000
doi: 10.1080/00949655.2015.1016944
identifiers:
- type: doi
  value: 10.32614/CRAN.package.msaenet
abstract: Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection
  in high-dimensional regressions proposed in Xiao and Xu (2015) <DOI:10.1080/00949655.2015.1016944>,
  with support for multi-step adaptive MCP-net (MSAMNet) and multi-step adaptive SCAD-net
  (MSASNet) methods.
authors:
- family-names: Xiao
  given-names: Nan
  email: me@nanx.me
  orcid: https://orcid.org/0000-0002-0250-5673
- family-names: Xu
  given-names: Qing-Song
  email: qsxu@csu.edu.cn
preferred-citation:
  type: article
  title: 'Multi-step adaptive elastic-net: reducing false positives in high-dimensional
    variable selection'
  authors:
  - family-names: Xiao
    given-names: Nan
    email: me@nanx.me
    orcid: https://orcid.org/0000-0002-0250-5673
  - family-names: Xu
    given-names: Qing-Song
    email: qsxu@csu.edu.cn
  journal: Journal of Statistical Computation and Simulation
  volume: '85'
  issue: '18'
  year: '2015'
  doi: 10.1080/00949655.2015.1016944
  start: '3755'
  end: '3765'
repository: https://nanxstats.r-universe.dev
repository-code: https://github.com/nanxstats/msaenet
commit: 8cb5ef6ffc4ed691fa5a6b611f0cbeec836010c9
url: https://nanx.me/msaenet/
contact:
- family-names: Xiao
  given-names: Nan
  email: me@nanx.me
  orcid: https://orcid.org/0000-0002-0250-5673