README.md

In SongEvo: An Individual-Based Model of Bird Song Evolution

SongEvo

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:

```{r eval = FALSE} 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`.

```{r eval = FALSE}
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!

SongEvo documentation built on May 1, 2019, 11:30 p.m.