CRAN/E | ohun

ohun

Optimizing Acoustic Signal Detection

Installation

About

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.

Citation ohun citation info
docs.ropensci.org/ohun/
github.com/ropensci/ohun/
Bug report File report

Key Metrics

Version 1.0.0
R ≥ 3.2.1
Published 2023-09-23 215 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks ohun results
Language en-US

Downloads

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Last 365 days 4.108 +434%

Maintainer

Maintainer

Marcelo Araya-Salas

marcelo.araya@ucr.ac.cr

Authors

Marcelo Araya-Salas

aut / cre

Alec L. Robitaille

rev

Sam Lapp

rev

Material

README
NEWS
Reference manual
Package source

Vignettes

3. Energy-based detection
1. Introduction to ohun
2. Template-based detection

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ohun archive

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