ohun: Optimizing Acoustic Signal Detection (original) (raw)
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) <doi:10.1101/2022.12.13.520253>.
| Version: | 1.0.4 |
|---|---|
| Depends: | R (≥ 3.2.1) |
| Imports: | tuneR, warbleR (≥ 1.1.32), cli, methods, stats, utils, seewave (≥ 2.0.1), fftw, rlang, sf, igraph, checkmate, ggplot2 |
| Suggests: | knitr, rmarkdown, testthat, viridis, Sim.DiffProc, vdiffr |
| Published: | 2025-10-22 |
| DOI: | 10.32614/CRAN.package.ohun |
| Author: | Marcelo Araya-Salas [aut, cre], Alec L. Robitaille [rev], Sam Lapp [rev] |
| Maintainer: | Marcelo Araya-Salas <marcelo.araya at ucr.ac.cr> |
| BugReports: | https://github.com/ropensci/ohun/issues/ |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://docs.ropensci.org/ohun/, https://github.com/ropensci/ohun/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | ohun citation info |
| Materials: | README, NEWS |
| CRAN checks: | ohun results |
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