Package: MG1StationaryProbability 0.1.2

Olga Zoldaka

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.

Authors:Olga Zoldaka [aut, cre]

MG1StationaryProbability_0.1.2.tar.gz
MG1StationaryProbability_0.1.2.zip(r-4.5)MG1StationaryProbability_0.1.2.zip(r-4.4)MG1StationaryProbability_0.1.2.zip(r-4.3)
MG1StationaryProbability_0.1.2.tgz(r-4.4-any)MG1StationaryProbability_0.1.2.tgz(r-4.3-any)
MG1StationaryProbability_0.1.2.tar.gz(r-4.5-noble)MG1StationaryProbability_0.1.2.tar.gz(r-4.4-noble)
MG1StationaryProbability_0.1.2.tgz(r-4.4-emscripten)MG1StationaryProbability_0.1.2.tgz(r-4.3-emscripten)
MG1StationaryProbability.pdf |MG1StationaryProbability.html✨
MG1StationaryProbability/json (API)

Peer review:

Bug tracker:https://github.com/mashroommole/mg1stationaryprobability/issues

On CRAN:

28 exports 0.51 score 8 dependencies 1 scripts 137 downloads

Last updated 1 years agofrom:a0832ee140. Checks:OK: 7. Indexed: yes.

Exports:bdensityOfSojournTimeAtState_iENENUfinalStateProbabilityflowIntensityMeanhloadCoefficientmeanSojournTimeWithFSPmeanSoujournTimemeanTimeEmptyFixedmeanTimeOfBusyPeriodETWmeanTimeOfBusyPeriodEWmeanTimeOfEmptyPeriodMETMSTnot_ip0p1piprobabilitiesMatrixprobabilityOfNArrivalprobabilityOfNArrivalWPrTrresultingMatrixserviceDistributionstationaryProbabilitiesstationaryProbabilitiesOfEmptyStates

Dependencies:cachemcodetoolsdoParallelfastmapforeachiteratorsmemoiserlang