markovchain (version 0.0.9.5)

conditionalDistribution: conditionalDistribution of a Markov Chain

Description

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

Usage

conditionalDistribution(object,state)

Arguments

object

A markovchain object.

state

Subsequent state.

Value

• A named probability vector

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")