Pt2: Tool to computate the transition matrix for a Continuous Time...

In modesto: Modeling and Analysis of Stochastic Systems

Tool to computate the transition matrix for a Continuous Time Markov Chain, CTMC.

Description

Pt2 is used to obtain the transition matrix of a homogeneous continuous time Markov chain for a period of time of t.

Usage

Pt2(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 P(t). Default values is 0.001.

Author(s)

Carlos Alberto Cardozo Delgado <[e-mail]>.

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 two states CTMC example
Pt2(matrix(c(0,2,3,0),2,2,byrow=TRUE),t=0.7,epsilon=0.005)
# A four states CTMC example
R <- matrix(c(0,2,3,0,4,0,2,0,0,2,0,2,1,0,3,0),4,4,byrow=TRUE)
Pt2(R,t=0.7,epsilon=0.005)
# require(microbenchmark)
# microbenchmark(Pt(R,t=0.7,epsilon=0.005),Pt2(R,t=0.7,epsilon=0.005),times=1000L)

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