The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
Please use the canonical form https://CRAN.R-project.org/package=MG1StationaryProbability to link to this page.
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.
Health stats visible at Monitor.