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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 "surveynnet" in publications use:'
type: software
license: MIT
title: 'surveynnet: Neural Network for Complex Survey Data'
version: 1.0.1
abstract: The goal of 'surveynnet' is to extend the functionality of 'nnet', 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 as outlined by Chen and Rust (2017), <https://doi.org/10.1093/jssam/smw036>,
  and performed by 'deffCR' in the package 'PracTools' (Valliant, Dever, and Kreuter
  (2018), <https://doi.org/10.1007/978-3-319-93632-1>).
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://cran.r-universe.dev
repository-code: https://github.com/237triangle/surveynnet
commit: 2f41c9f2187fb6921df400c613e6cac4e823c533
url: https://github.com/237triangle/surveynnet
date-released: '2026-10-27'
contact:
- family-names: Cohen
  given-names: Aaron
  email: cohenaa@iu.edu
  orcid: https://orcid.org/0009-0003-1971-1072