# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "ohun" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'ohun: Optimizing Acoustic Signal Detection'
version: 1.0.4
doi: 10.1111/2041-210X.14170
identifiers:
- type: doi
  value: 10.32614/CRAN.package.ohun
- type: url
  value: https://github.com/ropensci/ohun/
abstract: Facilitates the automatic detection of acoustic signals, providing functions
  to diagnose and optimize the performance of detection routines. Detections from
  other software can also be explored and optimized. This package has been peer-reviewed
  by rOpenSci. Araya-Salas et al. (2022) <https://doi.org/10.1101/2022.12.13.520253>.
authors:
- family-names: Araya-Salas
  given-names: Marcelo
  email: marcelo.araya@ucr.ac.cr
  orcid: https://orcid.org/0000-0003-3594-619X
preferred-citation:
  type: article
  title: 'ohun: automatic detection of acoustic signals'
  authors:
  - family-names: Araya-Salas
    given-names: M.
  - family-names: Smith-Vidaurre
    given-names: G.
  - name: Brenes
  - name: J.C.
  - family-names: Chirino
    given-names: F.
  - family-names: Elizondo-Calvo
    given-names: J
  - family-names: Rico-Guevara
    given-names: A.
  entry: MISC
  year: '2023'
  journal: Methods in Ecology and Evolution
  url: https://doi.org/10.1111/2041-210X.14170
  doi: 10.1111/2041-210X.14170
repository: https://marce10.r-universe.dev
repository-code: https://github.com/ropensci/ohun/issues/
commit: 98d3c46aba0c89dc7ec2b414956246c900008e34
url: https://docs.ropensci.org/ohun/
date-released: '2025-10-30'
contact:
- family-names: Araya-Salas
  given-names: Marcelo
  email: marcelo.araya@ucr.ac.cr
  orcid: https://orcid.org/0000-0003-3594-619X