queuecomputer: Computationally Efficient Queue Simulation

Implementation of a computationally efficient method for simulating queues with arbitrary arrival and service times. Please see Ebert, Wu, Mengersen & Ruggeri (2020, <doi:10.18637/jss.v095.i05>) for further details.

Version: 1.2.0
Depends: R (≥ 3.6)
Imports: stats, Rcpp, tidyr, dplyr, utils
LinkingTo: Rcpp, RcppArmadillo (≥ 0.7.500.0.0)
Suggests: knitr, rmarkdown, testthat, ggplot2
Published: 2022-11-15
DOI: 10.32614/CRAN.package.queuecomputer
Author: Anthony Ebert ORCID iD [aut, cre], Kerrie Mengersen [ths], Paul Wu [ths], Fabrizio Ruggeri [ths]
Maintainer: Anthony Ebert <anthonyebert+CRAN at gmail.com>
License: GPL-2 | file LICENSE
Copyright: file COPYRIGHTS
queuecomputer copyright details
URL: https://github.com/AnthonyEbert/queuecomputer
NeedsCompilation: yes
Citation: queuecomputer citation info
Materials: README NEWS
CRAN checks: queuecomputer results


Reference manual: queuecomputer.pdf
Vignettes: Using the queuecomputer package
MMk queues


Package source: queuecomputer_1.2.0.tar.gz
Windows binaries: r-devel: queuecomputer_1.2.0.zip, r-release: queuecomputer_1.2.0.zip, r-oldrel: queuecomputer_1.2.0.zip
macOS binaries: r-release (arm64): queuecomputer_1.2.0.tgz, r-oldrel (arm64): queuecomputer_1.2.0.tgz, r-release (x86_64): queuecomputer_1.2.0.tgz, r-oldrel (x86_64): queuecomputer_1.2.0.tgz
Old sources: queuecomputer archive


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