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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:

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!

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Version

Install

install.packages('SongEvo')

Monthly Downloads

138

Version

1.0.0

License

GPL-3

Maintainer

Raymond Danner

Last Published

March 5th, 2019

Functions in SongEvo (1.0.0)

h.test

Test hypotheses about song evolution
song.data

White Crown Sparrow Song Observations
glo.parms

Default model parameters
SongEvo

Model bird song evolution
par.opt

Parameter optimization
par.sens

Parameter sensitivity
mod.val

Model validation