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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.
{r eval = FALSE} install.packages("SongEvo") library(SongEvo)
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
.
{r eval = FALSE} install.packages("devtools") library(devtools) devtools::install_github("raydanner/SongEvo", build_vignettes = TRUE) library(SongEvo)
Find a bug? Want to request an enhancement? Check out our issues page!
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.