Mt: Tool to computate the Occupancy Matrix for a Continuous Time...
In modesto: Modeling and Analysis of Stochastic Systems

Mt	R Documentation

Tool to computate the Occupancy Matrix for a Continuous Time Markov Chain, CTMC.

Description

Mt is used to obtain the Occupancy matrix of a homogeneous continuous time Markov chain for a period of time [0,t].

Usage

Mt(R, t, epsilon = 0.001)

Arguments

`R`	numeric, represents the rate matrix of a CTMC.
`t`	numeric, represents the length of time.
`epsilon`	numeric, represents the error bound of the approximation of M(t). Default value is 0.001.

Author(s)

Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>.

References

Ross, S, Introduction to Probability Models, Eleven Edition. Academic Press, 2014.

Kulkarni V, Introduction to modeling and analysis of stochastic systems. Second Edition. Springer-Verlag, 2011.

Examples

library(modesto)
# A five states CTMC example
R <- matrix(c(0,1,0,0,0, 1/72,0,1,0,0, 0,2/72,0,1,0, 0,0,3/72,0,1/2, 0,0,0,4/72,0),5,5,byrow=TRUE)
Mt(R,t=24,epsilon=0.005)

modesto documentation built on June 1, 2022, 1:06 a.m.