markovchain (version 0.9.5)

conditionalDistribution: conditionalDistribution of a Markov Chain

Description

It extracts the conditional distribution of the subsequent state, given current state.

Usage

conditionalDistribution(object, state)

Value

A named probability vector

Arguments

object

A markovchain object.

state

Subsequent state.

Author

Giorgio Spedicato, Deepak Yadav

References

A First Course in Probability (8th Edition), Sheldon Ross, Prentice Hall 2010

See Also

markovchain

Examples

# define a markov chain
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)))
                      
conditionalDistribution(markovB, "b")