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.
Extensions
| Package | Description | Status |
|---|---|---|
| simmer.plot | Plotting Methods for simmer
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| simmer.bricks | Helper Methods for simmer Trajectories |
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| simmer.optim | Parameter Optimization Functions for simmer
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| simmer.json | Read / Load simmer Definitions in JSON Format |
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| simmer.mon | Monitoring Backends for simmer
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Help
For bugs and/or issues, create a new issue on GitHub. For other questions or comments, please use the Discussions forum on GitHub.
Documentation
Documentation is available at r-simmer.org/reference. To get started, please explore our vignettes online, or in R:
vignette(package = "simmer")Installation
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).
