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# CITATION.cff 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 "glmgraph" in publications use:'
type: software
license: GPL-2.0-only
title: 'glmgraph: Graph-Constrained Regularization for Sparse Generalized Linear Models'
version: 1.0.3
doi: 10.32614/CRAN.package.glmgraph
abstract: We propose to use sparse regression model to achieve variable selection
  while accounting for graph-constraints among coefficients. Different linear combination
  of a sparsity penalty(L1) and a smoothness(MCP) penalty has been used, which induces
  both sparsity of the solution and certain smoothness on the linear coefficients.
authors:
- family-names: Chen
  given-names: Li
  email: li.chen@emory.edu
- family-names: Chen
  given-names: Jun
repository: https://djghosh1123.r-universe.dev
commit: c0183019510ee8fc4bb657e3b5f6d5b5ddc0fd54
date-released: '2015-07-19'
contact:
- family-names: Chen
  given-names: Li
  email: li.chen@emory.edu