R: 'conditionalDistribution' of a Markov Chain

conditionalDistribution {markovchain} | R Documentation

## `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

### Author(s)

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")

[Package markovchain version 0.8.6 Index]