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cff-version: 1.2.0
message: 'To cite package "regnet" in publications use:'
type: software
license: GPL-2.0-only
title: 'regnet: Network-Based Regularization for Generalized Linear Models'
version: 1.0.2
doi: 10.32614/CRAN.package.regnet
abstract: Network-based regularization has achieved success in variable selection
  for high-dimensional biological data due to its ability to incorporate correlations
  among genomic features. This package provides procedures of network-based variable
  selection for generalized linear models (Ren et al. (2017) <https://doi.org/10.1186/s12863-017-0495-5>
  and Ren et al.(2019) <https://doi.org/10.1002/gepi.22194>). Continuous, binary,
  and survival response are supported. Robust network-based methods are available
  for continuous and survival responses.
authors:
- family-names: Ren
  given-names: Jie
  email: renjie0910@gmail.com
- family-names: Jung
  given-names: Luann C.
- family-names: Du
  given-names: Yinhao
- family-names: Wu
  given-names: Cen
- family-names: Jiang
  given-names: Yu
- family-names: Liu
  given-names: Junhao
repository: https://jrenstat.r-universe.dev
repository-code: https://github.com/jrhub/regnet
commit: 96ef4a22f755d1ff2c6294a182584ef36f94c511
url: https://github.com/jrhub/regnet
contact:
- family-names: Ren
  given-names: Jie
  email: renjie0910@gmail.com