firstPassageMultiple {markovchain} | R Documentation |
function to calculate first passage probabilities
Description
The function calculates first passage probability for a subset of states given an initial state.
Usage
firstPassageMultiple(object, state, set, n)
Arguments
object |
a markovchain-class object |
state |
intital state of the process (charactervector) |
set |
set of states A, first passage of which is to be calculated |
n |
Number of rows on which compute the distribution |
Value
A vector of size n showing the first time proabilities
Author(s)
Vandit Jain
References
Renaldo Feres, Notes for Math 450 Matlab listings for Markov chains; MIT OCW, course - 6.262, Discrete Stochastic Processes, course-notes, chap -05
See Also
Examples
statesNames <- c("a", "b", "c")
markovB <- new("markovchain", states = statesNames, transitionMatrix =
matrix(c(0.2, 0.5, 0.3,
0, 1, 0,
0.1, 0.8, 0.1), nrow = 3, byrow = TRUE,
dimnames = list(statesNames, statesNames)
))
firstPassageMultiple(markovB,"a",c("b","c"),4)
[Package markovchain version 0.9.5 Index]