SongEvo: An Individual-Based Model of Bird Song Evolution

Simulates the cultural evolution of quantitative traits of bird song. 'SongEvo' is an individual- (agent-) based model. 'SongEvo' is spatially-explicit and can be parameterized with, and tested against, measured song data. Functions are available for model implementation, sensitivity analyses, parameter optimization, model validation, and hypothesis testing.

Version: 1.0.0
Depends: R (≥ 3.1.0)
Imports: boot, geosphere, lattice, sp
Suggests: reshape2, Hmisc, knitr, rmarkdown
Published: 2019-03-05
Author: Raymond Danner [aut, cre], Elizabeth Derryberry [aut], Graham Derryberry [aut], Julie Danner [aut], David Luther [aut]
Maintainer: Raymond Danner <dannerR at uncw.edu>
BugReports: https://github.com/raydanner/SongEvo/issues
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SongEvo results

Downloads:

Reference manual: SongEvo.pdf
Vignettes: SongEvo package
Package source: SongEvo_1.0.0.tar.gz
Windows binaries: r-devel: SongEvo_1.0.0.zip, r-devel-gcc8: SongEvo_1.0.0.zip, r-release: SongEvo_1.0.0.zip, r-oldrel: SongEvo_1.0.0.zip
OS X binaries: r-release: SongEvo_1.0.0.tgz, r-oldrel: SongEvo_1.0.0.tgz

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