SongEvo: An Individual-Based Model of Bird Song Evolution (original) (raw)
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 |
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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 |
BugReports: | https://github.com/raydanner/SongEvo/issues |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | SongEvo results |
Documentation:
Downloads:
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