SoundShape: Sound Waves Onto Morphometric Data

Implement a promising, and yet little explored protocol for bioacoustical analysis, the eigensound method by MacLeod, Krieger and Jones (2013) <doi:10.4404/hystrix-24.1-6299>. Eigensound is a multidisciplinary method focused on the direct comparison between stereotyped sounds from different species. 'SoundShape', in turn, provide the tools required for anyone to go from sound waves to Principal Components Analysis, using tools extracted from traditional bioacoustics (i.e. 'tuneR' and 'seewave' packages), geometric morphometrics (i.e. 'geomorph' package) and multivariate analysis (e.g. 'stats' package). For more information, please see Rocha and Romano (2021) and check 'SoundShape' repository on GitHub for news and updates <https://github.com/p-rocha/SoundShape>.

Version:	1.3.2
Depends:	R (≥ 3.5.0)
Imports:	abind, geomorph (≥ 3.0.2), graphics, grDevices, plot3D, reshape2, seewave, stats, tuneR, utils, stringr
Suggests:	vegan, knitr, rmarkdown
Published:	2024-11-20
DOI:	10.32614/CRAN.package.SoundShape
Author:	Pedro Rocha [aut, cre]
Maintainer:	Pedro Rocha <p.rocha1990 at gmail.com>
BugReports:	https://github.com/p-rocha/SoundShape/issues
License:	GPL-3
URL:	https://github.com/p-rocha/SoundShape
NeedsCompilation:	no
Materials:	README
CRAN checks:	SoundShape results

Documentation:

Reference manual:	SoundShape.pdf
Vignettes:	Getting-started (source, R code)

Downloads:

Package source:	SoundShape_1.3.2.tar.gz
Windows binaries:	r-devel: SoundShape_1.3.2.zip, r-release: SoundShape_1.3.2.zip, r-oldrel: SoundShape_1.3.2.zip
macOS binaries:	r-release (arm64): SoundShape_1.3.2.tgz, r-oldrel (arm64): SoundShape_1.3.2.tgz, r-release (x86_64): SoundShape_1.3.2.tgz, r-oldrel (x86_64): SoundShape_1.3.2.tgz
Old sources:	SoundShape archive

Linking:

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