MG1StationaryProbability: Computes Stationary Distribution for M/G/1 Queuing System

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

Documentation:

Reference manual: MG1StationaryProbability.pdf

Downloads:

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
Old sources: MG1StationaryProbability archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MG1StationaryProbability to link to this page.