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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "cossonet" in publications use:'
type: software
license: GPL-3.0-only
title: 'cossonet: Sparse Nonparametric Regression for High-Dimensional Data'
version: '1.0'
doi: 10.32614/CRAN.package.cossonet
abstract: Estimation of sparse nonlinear functions in nonparametric regression using
  component selection and smoothing. Designed for the analysis of high-dimensional
  data, the models support various data types, including exponential family models
  and Cox proportional hazards models. The methodology is based on Lin and Zhang (2006)
  <https://doi.org/10.1214/009053606000000722>.
authors:
- family-names: Shin
  given-names: Jieun
  email: jieunstat@uos.ac.kr
repository: https://CRAN.R-project.org/package=cossonet
date-released: '2025-03-13'
contact:
- family-names: Shin
  given-names: Jieun
  email: jieunstat@uos.ac.kr