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) <>. 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>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: MG1StationaryProbability results


Reference manual: MG1StationaryProbability.pdf


Package source: MG1StationaryProbability_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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