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. Araya-Salas et al. (2022) <doi:10.1101/2022.12.13.520253>.
Version: | 1.0.1 |
Depends: | R (≥ 3.2.1) |
Imports: | tuneR, warbleR (≥ 1.1.29), cli, methods, stats, utils, seewave (≥ 2.0.1), fftw, rlang, sf, igraph, checkmate, ggplot2 |
Suggests: | knitr, rmarkdown, testthat, viridis, Sim.DiffProc, vdiffr |
Published: | 2023-11-17 |
Author: | Marcelo Araya-Salas
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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 |
Reference manual: | ohun.pdf |
Vignettes: |
3. Energy-based detection 1. Introduction to ohun 2. Template-based detection |
Package source: | ohun_1.0.1.tar.gz |
Windows binaries: | r-devel: ohun_1.0.1.zip, r-release: ohun_1.0.1.zip, r-oldrel: ohun_1.0.1.zip |
macOS binaries: | r-release (arm64): ohun_1.0.1.tgz, r-oldrel (arm64): ohun_1.0.1.tgz, r-release (x86_64): ohun_1.0.1.tgz, r-oldrel (x86_64): not available |
Old sources: | ohun archive |
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