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

In simmer: Discrete-Event Simulation for R

simmer: Discrete-Event Simulation for R

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

Ucar I., Smeets B., Azcorra A. (2019). "simmer: Discrete-Event Simulation for R." Journal of Statistical Software, 90(2), 1-30. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v090.i02")}.

Ucar I., Hernández J.A., Serrano P., Azcorra A. (2018). "Design and Analysis of 5G Scenarios with simmer: An R Package for Fast DES Prototyping." IEEE Communications Magazine, 56(11), 145-151. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1109/MCOM.2018.1700960")}.

See Also

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

Examples

## 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)

simmer documentation built on Aug. 22, 2023, 5:09 p.m.