Computationally Efficient Queue Simulation [R package queuecomputer version 1.2.0]

Anthony Ebert

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年11月15日

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

URL: https://github.com/AnthonyEbert/queuecomputer

NeedsCompilation: yes

Citation: queuecomputer citation info

Materials: README, NEWS

CRAN checks: queuecomputer results

Documentation:

Reference manual: queuecomputer.html , queuecomputer.pdf

Vignettes: Using the queuecomputer package (source, R code)
MMk queues (source, R code)

Downloads:

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

Linking:

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