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 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.
|simmer.plot||Plotting Methods for
|simmer.bricks||Helper Methods for
|simmer.optim||Parameter Optimization Functions for
|simmer.json||Read / Load
|simmer.mon||Monitoring Backends for
For bugs and/or issues, create a new issue on GitHub. For other questions or comments, please subscribe to the simmer-devel mailing list. You must be a member to post messages, but anyone can read the archived discussions.
Documentation is available at r-simmer.org/reference. To get started, please explore our vignettes online, or in R:
vignette(package = "simmer")
Install the release version from CRAN:
The installation from GitHub requires the remotes package.
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).