Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Iñaki Ucar, Bart Smeets, Arturo Azcorra
Title: simmer: Discrete-Event Simulation for R
Abstract: The simmer package brings discrete-event simulation to R. It is designed as a generic yet powerful process-oriented framework. The architecture encloses a robust and fast simulation core written in C++ with automatic monitoring capabilities. It provides a rich and flexible R API (application programming interface) that revolves around the concept of trajectory, a common path in the simulation model for entities of the same type.

Page views:: 1160. Submitted: 2017-03-25. Published: 2019-07-31.
Paper: simmer: Discrete-Event Simulation for R     Download PDF (Downloads: 392)
Supplements:
simmer_4.3.0.tar.gz: R source package Download (Downloads: 16; 1MB)
v90i02.R: R replication code Download (Downloads: 23; 9KB)
v90i02-julia.R: R/Julia replication code Download (Downloads: 18; 1KB)

DOI: 10.18637/jss.v090.i02

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.