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cff-version: 1.2.0
message: 'To cite package "GGMncv" in publications use:'
type: software
license: GPL-2.0-only
title: 'GGMncv: Gaussian Graphical Models with Nonconvex Regularization'
version: 2.1.1
doi: 10.32614/CRAN.package.GGMncv
abstract: Estimate Gaussian graphical models with nonconvex penalties <https://doi.org/10.31234/osf.io/ad57p>,
  including the atan Wang and Zhu (2016) <https://doi.org/10.1155/2016/6495417>, seamless
  L0 Dicker, Huang, and Lin (2013) <https://doi.org/10.5705/ss.2011.074>, exponential
  Wang, Fan, and Zhu <https://doi.org/10.1007/s10463-016-0588-3>, smooth integration
  of counting and absolute deviation Lv and Fan (2009) <https://doi.org/10.1214/09-AOS683>,
  logarithm Mazumder, Friedman, and Hastie (2011) <https://doi.org/10.1198/jasa.2011.tm09738>,
  Lq, smoothly clipped absolute deviation Fan and Li (2001) <https://doi.org/10.1198/016214501753382273>,
  and minimax concave penalty Zhang (2010) <https://doi.org/10.1214/09-AOS729>. There
  are also extensions for computing variable inclusion probabilities, multiple regression
  coefficients, and statistical inference <https://doi.org/10.1214/15-EJS1031>.
authors:
- family-names: Williams
  given-names: Donald
  email: drwwilliams@ucdavis.edu
repository: https://CRAN.R-project.org/package=GGMncv
repository-code: https://github.com/donaldRwilliams/GGMncv
url: https://github.com/donaldRwilliams/GGMncv
date-released: '2021-12-13'
contact:
- family-names: Williams
  given-names: Donald
  email: drwwilliams@ucdavis.edu