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simmer is a process-oriented and trajectory-based Discrete-Event Simulation (DES) package for R. Designed to be a generic framework likeSimPy orSimJulia, it leverages the power ofRcpp to boost the performance and turning DES in R feasible. As a noteworthy characteristic, simmer exploits the concept oftrajectory: 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 themagrittr package.

Package	Description	Status
simmer.plot	Plotting Methods forsimmer
simmer.bricks	Helper Methods forsimmer Trajectories
simmer.optim	Parameter Optimization Functions forsimmer
simmer.json	Read / Loadsimmer Definitions in JSON Format
simmer.mon	Monitoring Backends forsimmer

For bugs and/or issues, create a newissue on GitHub.For other questions or comments, please use theDiscussions forum on GitHub.

Documentation is available atr-simmer.org/reference. To get started, please explore ourvignettes online, or in R:

vignette(package="simmer")

Install the release version from CRAN:

install.packages("simmer")

The installation from GitHub requires theremotes 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).

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