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Discrete-Event Simulation for R
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README.md

simmer

Build Status Coverage Status Coverity Status CRAN_Status_Badge Downloads

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' CRAN_Status_Badge
simmer.bricks Helper Methods for 'simmer' Trajectories CRAN_Status_Badge
simmer.optim Parameter Optimization Functions for 'simmer' Status_Badge
simmer.json Read / Load 'simmer' Definitions in JSON Format Status_Badge
simmer.mon Monitoring Backends for 'simmer' Status_Badge

Mailing list

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

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).

Hexagon stickers!

You can purchase simmer hex stickers on Redbubble (sticker 1, sticker 2). Browse there for more stuff such as T-shirts and mugs!

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