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The idea of a computational algorithm described in the article by Andronov M. et al. (2022) <https://link.springer.com/chapter/10.1007/978-3-030-92507-9_13>. The purpose of this package is to automate computations for a Markov-Modulated M/G/1 queuing system with alternating Poisson flow of arrivals. It offers a set of functions to calculate various mean indices of the system, including mean flow intensity, mean service busy and idle times, and the system's stationary probability.
Version: | 0.1.2 |
Depends: | R (≥ 4.0.0) |
Imports: | parallel, stats, doParallel (≥ 1.0.17), foreach (≥ 1.5.2), memoise (≥ 2.0.1) |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2023-06-13 |
DOI: | 10.32614/CRAN.package.MG1StationaryProbability |
Author: | Olga Zoldaka [aut, cre] |
Maintainer: | Olga Zoldaka <zoldaka at gmail.com> |
BugReports: | https://github.com/MashroomMole/MG1StationaryProbability/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/MashroomMole/MG1StationaryProbability |
NeedsCompilation: | no |
CRAN checks: | MG1StationaryProbability results |
Reference manual: | MG1StationaryProbability.pdf |
Package source: | MG1StationaryProbability_0.1.2.tar.gz |
Windows binaries: | r-devel: MG1StationaryProbability_0.1.2.zip, r-release: MG1StationaryProbability_0.1.2.zip, r-oldrel: MG1StationaryProbability_0.1.2.zip |
macOS binaries: | r-release (arm64): MG1StationaryProbability_0.1.2.tgz, r-oldrel (arm64): MG1StationaryProbability_0.1.2.tgz, r-release (x86_64): MG1StationaryProbability_0.1.2.tgz, r-oldrel (x86_64): MG1StationaryProbability_0.1.2.tgz |
Old sources: | MG1StationaryProbability archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.