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 |
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