A process-oriented and trajectory-based Discrete-Event Simulation (DES) package for R. Designed to be a generic framework like SimPy or SimJulia, it leverages the power of Rcpp to boost the performance and turning DES in R feasible. As a noteworthy characteristic, simmer exploits the concept of trajectory: a common path in the simulation model for entities of the same type. It is pretty flexible and simple to use, and leverages the chaining/piping workflow introduced by the magrittr package.
Iñaki Ucar and Bart Smeets
Iñaki Ucar, Bart Smeets and Arturo Azcorra (2018). simmer: Discrete-Event Simulation for R. Journal of Statistical Software, accepted for publication.
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