simmer-package: 'simmer': Discrete-Event Simulation for R

Description Author(s) References See Also Examples

Description

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.

Author(s)

Iñaki Ucar and Bart Smeets

References

Iñaki Ucar, Bart Smeets and Arturo Azcorra (2018). simmer: Discrete-Event Simulation for R. Journal of Statistical Software, accepted for publication.

See Also

simmer's homepage http://r-simmer.org and GitHub repository https://github.com/r-simmer/simmer.

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
## Not run: 
# introduction to simmer
vignette("simmer-01-introduction")

# JSS paper available as vignette
vignette("simmer-02-jss")

# more vignettes
vignette(package = "simmer")

## End(Not run)

r-simmer/simmer documentation built on Sept. 10, 2018, 5:29 p.m.