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 |
| 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-prerel: MG1StationaryProbability_0.1.2.zip, r-release: MG1StationaryProbability_0.1.2.zip, r-oldrel: MG1StationaryProbability_0.1.2.zip |
| macOS binaries: | r-prerel (arm64): MG1StationaryProbability_0.1.2.tgz, r-release (arm64): MG1StationaryProbability_0.1.2.tgz, r-oldrel (arm64): MG1StationaryProbability_0.1.2.tgz, r-prerel (x86_64): MG1StationaryProbability_0.1.2.tgz, r-release (x86_64): MG1StationaryProbability_0.1.2.tgz |
| Old sources: | MG1StationaryProbability archive |
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