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. This package has been peer-reviewed by rOpenSci. Araya-Salas et al. (2022) <doi:10.1101/2022.12.13.520253>.
| Version: | 1.0.2 |
| 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: | 2024-08-19 |
| 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 |
Documentation:
| Reference manual: | ohun.pdf |
| Vignettes: |
3. Energy-based detection (source, R code) 1. Introduction to ohun (source, R code) 2. Template-based detection (source, R code) |
Downloads:
| Package source: | ohun_1.0.2.tar.gz |
| Windows binaries: | r-devel: ohun_1.0.2.zip, r-release: ohun_1.0.2.zip, r-oldrel: ohun_1.0.2.zip |
| macOS binaries: | r-release (arm64): ohun_1.0.2.tgz, r-oldrel (arm64): ohun_1.0.2.tgz, r-release (x86_64): ohun_1.0.2.tgz, r-oldrel (x86_64): ohun_1.0.2.tgz |
| Old sources: | ohun archive |
Reverse dependencies:
| Reverse depends: | baRulho |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=ohun to link to this page.