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 (in prep) and check 'SoundShape' repository on GitHub for news and updates <https://github.com/p-rocha/SoundShape>.

Version: 1.0
Depends: R (≥ 3.3.1)
Imports: abind, geomorph (≥ 3.0.2), graphics, grDevices, plot3D, reshape2, seewave, stats, tuneR, utils
Suggests: vegan, knitr, rmarkdown
Published: 2020-10-29
Author: Pedro Rocha [aut, cre], Pedro Romano [ctb]
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

Downloads:

Reference manual: SoundShape.pdf
Vignettes: Getting-started
Package source: SoundShape_1.0.tar.gz
Windows binaries: r-devel: SoundShape_1.0.zip, r-release: SoundShape_1.0.zip, r-oldrel: SoundShape_1.0.zip
macOS binaries: r-release: SoundShape_1.0.tgz, r-oldrel: SoundShape_1.0.tgz

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