NetLogoR
is an R package to build and run spatially explicit agent-based models using only the R platform.
It follows the same framework as NetLogo (Wilensky, 1999) and is a translation in R language of the structure and functions of NetLogo (NetLogo primitives).
NetLogoR
provides new R classes to define model agents and functions to implement spatially explicit agent-based models in the R environment.
This package allows benefiting of the fast and easy coding phase from the highly developed NetLogo's framework, coupled with the versatility, power and massive resources of the R software.
Examples of three models (Ants, Butterfly (Railsback and Grimm, 2012) and Wolf-Sheep-Predation) written using NetLogoR
are available. The NetLogo code of the original version of these models is provided alongside.
A programming guide inspired from the NetLogo Programming Guide and a dictionary of NetLogo primitives equivalences are also available.
#install.packages("devtools")
devtools::install_github("PredictiveEcology/NetLogoR")