A process-oriented and trajectory-based Discrete-Event Simulation (DES) package for R. Designed to be a generic framework, it leverages the power of 'Rcpp' to boost the performance, 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.

Maintainer: Iñaki Ucar <i.ucar86 at gmail.com>

Author(s): Iñaki Ucar*, Bart Smeets*

Install package and any missing dependencies by running this line in your R console:

install.packages("simmer")

Depends R (>= 3.1.2)
Imports Rcpp, R6, magrittr, methods, utils
Suggests parallel, dplyr, tidyr, ggplot2, scales, testthat, knitr, rmarkdown, covr
Enhances
Linking to Rcpp(>=0.12.8), BH(>=1.62.0-1)
Reverse
depends
simmer.plot
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imports
Reverse
suggests
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enhances
Reverse
linking to

Package simmer
Materials
URL http://r-simmer.org https://github.com/r-simmer/simmer
Task Views
Version 3.6.0
Published 2016-12-28
License MIT + file LICENSE
BugReports https://github.com/r-simmer/simmer/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks simmer check results
Package source simmer_3.6.0.tar.gz