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 |
| 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-release: SongEvo_1.0.0.zip, r-oldrel: SongEvo_1.0.0.zip |
| macOS binaries: | r-release: SongEvo_1.0.0.tgz, r-oldrel: SongEvo_1.0.0.tgz |
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