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:
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