simmer

by Bart Smeets, Iñaki Ucar

simmer is 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 use 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.

Installation

Install the release version from CRAN:

install.packages("simmer")

The installation from GitHub requires the devtools package.

devtools::install_github("Enchufa2/simmer")

Please note that the package contains some C++ code and thus you need a development environment to build the package (e.g. Rtools for Windows).

Learning simmer

To get started, please explore the vignettes:

vignette(package = "simmer")

These are currently available:

• Introduction to simmer
• Terminology
• Advanced trajectory usage
• Queueing systems
• Continuous-Time Markov Chains

Contact

• For bugs and/or issues, create a new issue on GitHub.
• For other questions or comments, subscribe to the simmer-devel mailing list.