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.

Version: 3.7.0
Depends: R (≥ 3.1.2)
Imports: Rcpp, R6, magrittr, codetools
LinkingTo: Rcpp (≥ 0.12.9), BH (≥ 1.62.0-1)
Suggests: simmer.plot, parallel, dplyr, tidyr, testthat, knitr, rmarkdown, rticles
Published: 2018-03-03
Author: Iñaki Ucar ORCID iD [aut, cph, cre], Bart Smeets [aut, cph]
Maintainer: Iñaki Ucar <i.ucar86 at>
License: MIT + file LICENSE
NeedsCompilation: yes
Citation: simmer citation info
Materials: NEWS
CRAN checks: simmer results


Reference manual: simmer.pdf
Vignettes: 01. Introduction to simmer
02. JSS paper
03. Advanced Trajectory Usage
04. The Bank Tutorial: Part I
04. The Bank Tutorial: Part II
05. Other SimPy Examples
06. Queueing Systems
07. Continuous-Time Markov Chains
08. Dining Philosophers Problem
AA. Design and Analysis of 5G Scenarios
Package source: simmer_3.7.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: simmer_3.7.0.tgz
OS X Mavericks binaries: r-oldrel: simmer_3.6.5.tgz
Old sources: simmer archive

Reverse dependencies:

Reverse depends: simmer.bricks, simmer.plot


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