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.


SongEvo 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. See the vignette for examples.

To get the current released version from CRAN:

install.packages("SongEvo")
library(SongEvo)

To get the current development version from GitHub:

In order to install the vignette along with the package use the following code with build_vignettes = TRUE. Note it takes quite a bit longer to download the package when build_vignettes = TRUE.

install.packages("devtools")
library(devtools)
devtools::install_github("raydanner/SongEvo", build_vignettes = TRUE)
library(SongEvo)

Issues

Find a bug? Want to request an enhancement? Check out our issues page!

News

SongEvo 1.0.0

First release of SongEvo.

Reference manual

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install.packages("SongEvo")

1.0.0 by Raymond Danner, 6 months ago


Report a bug at https://github.com/raydanner/SongEvo/issues


Browse source code at https://github.com/cran/SongEvo


Authors: Raymond Danner [aut, cre] , Elizabeth Derryberry [aut] , Graham Derryberry [aut] , Julie Danner [aut] , David Luther [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports boot, geosphere, lattice, sp

Suggests reshape2, Hmisc, knitr, rmarkdown


See at CRAN