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.
|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)|
|Author:||Olga Zoldaka [aut, cre]|
|Maintainer:||Olga Zoldaka <zoldaka at gmail.com>|
|License:||MIT + file LICENSE|
|CRAN checks:||MG1StationaryProbability results|
|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.