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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 |
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 (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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.