ohun: Optimizing Acoustic Signal Detection

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. Reference: Hossin & Sulaiman (2015) <doi:10.5121/ijdkp.2015.5201>.

Version: 0.1.0
Depends: R (≥ 3.2.1), tuneR, warbleR (≥ 1.1.28)
Imports: pbapply, viridis, crayon, methods, stats, utils, seewave (≥ 2.0.1), RCurl, fftw, knitr, rjson, rlang, sp, igraph, Sim.DiffProc
Suggests: rmarkdown, testthat (≥ 3.0.0), formatR
Published: 2022-12-19
Author: Marcelo Araya-Salas ORCID iD [aut, cre]
Maintainer: Marcelo Araya-Salas <marcelo.araya at ucr.ac.cr>
BugReports: https://github.com/maRce10/ohun/issues/
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://marce10.github.io/ohun/
NeedsCompilation: no
Language: en-US
Citation: ohun citation info
Materials: README
CRAN checks: ohun results


Reference manual: ohun.pdf
Vignettes: 1. Introduction to ohun


Package source: ohun_0.1.0.tar.gz
Windows binaries: r-devel: ohun_0.1.0.zip, r-release: ohun_0.1.0.zip, r-oldrel: ohun_0.1.0.zip
macOS binaries: r-release (arm64): ohun_0.1.0.tgz, r-oldrel (arm64): ohun_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): ohun_0.1.0.tgz


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