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.
| Package | Description | Status |
|---|---|---|
| simmer.plot | Plotting Methods for 'simmer' | |
| simmer.bricks | Helper Methods for 'simmer' Trajectories | |
| simmer.optim | Parameter Optimization Functions for 'simmer' | |
| simmer.json | Read / Load 'simmer' Definitions in JSON Format |
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:
install.packages("simmer")The installation from GitHub requires the remotes package.
remotes::install_github("r-simmer/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).
