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
DOI:	10.32614/CRAN.package.SongEvo
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

Documentation:

Reference manual:	SongEvo.pdf
Vignettes:	SongEvo package

Downloads:

Package source:	SongEvo_1.0.0.tar.gz
Windows binaries:	r-devel: SongEvo_1.0.0.zip, r-release: SongEvo_1.0.0.zip, r-oldrel: SongEvo_1.0.0.zip
macOS binaries:	r-release (arm64): SongEvo_1.0.0.tgz, r-oldrel (arm64): SongEvo_1.0.0.tgz, r-release (x86_64): SongEvo_1.0.0.tgz, r-oldrel (x86_64): SongEvo_1.0.0.tgz

Linking:

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