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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 "surveynnet" in publications use:'
type: software
license: MIT
title: 'surveynnet: Neural Network for Complex Survey Data'
version: 1.0.0
doi: 10.32614/CRAN.package.surveynnet
abstract: The surveynnet package extends the functionality of nnet (Venables and Ripley,
  2002), which already supports survey weights, by enabling it to handle clustered
  and stratified data. It achieves this by incorporating design effects through the
  use of effective sample sizes in the calculations, performed by the package described
  in Valliant et al. (2023), by following the methods outlined by Chen and Rust (2017)
  and Valliant et al. (2018).
authors:
- family-names: Cohen
  given-names: Aaron
  email: cohenaa@iu.edu
  orcid: https://orcid.org/0009-0003-1971-1072
- family-names: Cruz-Cano
  given-names: Raul
  email: raulcruz@iu.edu
  orcid: https://orcid.org/0000-0001-7715-1198
repository: https://237triangle.r-universe.dev
repository-code: https://github.com/237triangle/surveynnet
commit: 0887c4091963e278c48162ddb125e0f27df82c10
url: https://github.com/237triangle/surveynnet
contact:
- family-names: Cohen
  given-names: Aaron
  email: cohenaa@iu.edu
  orcid: https://orcid.org/0009-0003-1971-1072