# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "synthesis" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'synthesis: Generate Synthetic Data from Statistical Models'
version: 1.2.5
doi: 10.32614/CRAN.package.synthesis
abstract: Generate synthetic time series from commonly used statistical models, including
  linear, nonlinear and chaotic systems. Applications to testing methods can be found
  in Jiang, Z., Sharma, A., & Johnson, F. (2019) <https://doi.org/10.1016/j.advwatres.2019.103430>
  and Jiang, Z., Sharma, A., & Johnson, F. (2020) <https://doi.org/10.1029/2019WR026962>
  associated with an open-source tool by Jiang, Z., Rashid, M. M., Johnson, F., &
  Sharma, A. (2020) <https://doi.org/10.1016/j.envsoft.2020.104907>.
authors:
- family-names: Jiang
  given-names: Ze
  email: ze.jiang@unsw.edu.au
  orcid: https://orcid.org/0000-0002-3472-0829
repository: https://hydroclimatex.r-universe.dev
repository-code: https://github.com/zejiang-unsw/synthesis
commit: a6b68e7269d12144d21165ec7c955649dae925bd
url: https://github.com/zejiang-unsw/synthesis#readme
date-released: '2024-06-24'
contact:
- family-names: Jiang
  given-names: Ze
  email: ze.jiang@unsw.edu.au
  orcid: https://orcid.org/0000-0002-3472-0829