Package: queuecomputer 1.2.0

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.

Authors:Anthony Ebert [aut, cre], Kerrie Mengersen [ths], Paul Wu [ths], Fabrizio Ruggeri [ths]

queuecomputer_1.2.0.tar.gz
queuecomputer_1.2.0.zip(r-4.5)queuecomputer_1.2.0.zip(r-4.4)queuecomputer_1.2.0.zip(r-4.3)
queuecomputer_1.2.0.tgz(r-4.4-x86_64)queuecomputer_1.2.0.tgz(r-4.4-arm64)queuecomputer_1.2.0.tgz(r-4.3-x86_64)queuecomputer_1.2.0.tgz(r-4.3-arm64)
queuecomputer_1.2.0.tar.gz(r-4.5-noble)queuecomputer_1.2.0.tar.gz(r-4.4-noble)
queuecomputer_1.2.0.tgz(r-4.4-emscripten)queuecomputer_1.2.0.tgz(r-4.3-emscripten)
queuecomputer.pdf |queuecomputer.html
queuecomputer/json (API)
NEWS

# Install 'queuecomputer' in R:
install.packages('queuecomputer', repos = c('https://anthonyebert.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/anthonyebert/queuecomputer/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

queueing

6.28 score 35 stars 55 scripts 280 downloads 10 exports 23 dependencies

Last updated 3 months agofrom:97c3bfdb36. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-win-x86_64OKNov 08 2024
R-4.5-linux-x86_64OKNov 08 2024
R-4.4-win-x86_64OKNov 08 2024
R-4.4-mac-x86_64OKNov 08 2024
R-4.4-mac-aarch64OKNov 08 2024
R-4.3-win-x86_64OKNov 08 2024
R-4.3-mac-x86_64OKNov 08 2024
R-4.3-mac-aarch64OKNov 08 2024

Exports:as.server.listas.server.stepfunaverage_queuedepartlag_stepql_summaryqueuequeue_lengthsqueue_stepwait_step

Dependencies:clicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6RcppRcppArmadillorlangstringistringrtibbletidyrtidyselectutf8vctrswithr

M/M/k queues

Rendered fromMMk_queues.Rmdusingknitr::rmarkdownon Nov 08 2024.

Last update: 2017-04-11
Started: 2016-11-14

Using the queuecomputer package

Rendered fromHowto.Rmdusingknitr::rmarkdownon Nov 08 2024.

Last update: 2020-07-18
Started: 2016-11-14