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MG1StationaryProbability
View on CRAN: Click
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Download and install MG1StationaryProbability package within the R console
Install from CRAN:
install.packages("MG1StationaryProbability")
Install from Github:
library("remotes")
install_github("cran/MG1StationaryProbability")
Install by package version:
library("remotes")
install_version("MG1StationaryProbability", "0.1.2")
Attach the package and use:
library("MG1StationaryProbability")
Maintained by
Olga Zoldaka
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-07
Latest Update: 2023-06-13
Description:
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.
How to cite:
Olga Zoldaka (2023). MG1StationaryProbability: Computes Stationary Distribution for M/G/1 Queuing System. R package version 0.1.2, https://cran.r-project.org/web/packages/MG1StationaryProbability
Previous versions and publish date:
0.1.1 (2023-06-07 15:40)
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