# --------------------------------------------
# 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: 1.0.2
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
repository: https://ropensci.r-universe.dev
repository-code: https://github.com/ropensci/ohun/issues/
commit: 2be88b518b841b0e996ce7765c218314a967b035
url: https://docs.ropensci.org/ohun/
contact:
- family-names: Araya-Salas
  given-names: Marcelo
  email: marcelo.araya@ucr.ac.cr
  orcid: https://orcid.org/0000-0003-3594-619X