simmer: Discrete-Event Simulation for R
A process-oriented and trajectory-based Discrete-Event Simulation
(DES) package for R. It is designed as a generic yet powerful 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 that
revolves around the concept of trajectory, a common path in the simulation
model for entities of the same type. Documentation about 'simmer' is provided
by several vignettes included in this package, via the paper by Ucar, Smeets
& Azcorra (2019, <doi:10.18637/jss.v090.i02>), and the paper by Ucar,
Hernández, Serrano & Azcorra (2018, <doi:10.1109/MCOM.2018.1700960>);
see 'citation("simmer")' for details.
Version: |
4.4.7 |
Depends: |
R (≥ 3.4.0) |
Imports: |
Rcpp, magrittr, codetools, utils |
LinkingTo: |
Rcpp (≥ 0.12.9) |
Suggests: |
simmer.plot, parallel, testthat, knitr, rmarkdown, rticles |
Published: |
2024-09-28 |
DOI: |
10.32614/CRAN.package.simmer |
Author: |
Iñaki Ucar [aut,
cph, cre],
Bart Smeets [aut, cph] |
Maintainer: |
Iñaki Ucar <iucar at fedoraproject.org> |
BugReports: |
https://github.com/r-simmer/simmer/issues |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://r-simmer.org, https://github.com/r-simmer/simmer |
NeedsCompilation: |
yes |
Citation: |
simmer citation info |
Materials: |
NEWS |
CRAN checks: |
simmer results |
Documentation:
Reference manual: |
simmer.pdf |
Vignettes: |
01. Introduction to simmer (source, R code)
02. JSS paper (source, R code)
03. Advanced Trajectory Usage (source, R code)
04. The Bank Tutorial: Part I (source, R code)
04. The Bank Tutorial: Part II (source, R code)
05. Other SimPy Examples (source, R code)
06. Queueing Systems (source, R code)
07. Continuous-Time Markov Chains (source, R code)
08. Dining Philosophers Problem (source, R code)
AA. Design and Analysis of 5G Scenarios (source, R code)
|
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