# A function to compute multinomial confidence intervals of DTMC

### Description

These functions return multinomial confidence intervals of the `markovchain`

objects.

### Usage

1 | ```
multinomialConfidenceIntervals(transitionMatrix, countsTransitionMatrix, confidencelevel)
``` |

### Arguments

`transitionMatrix` |
Transition matrix. |

`countsTransitionMatrix` |
Counts transition matrix. |

`confidencelevel` |
Confidence level. |

### Value

A list with two matrices

### Author(s)

Tae Seung Kang, Giorgio Alfredo Spedicato

### References

Feres, Matlab listing for markov chain.

### See Also

`markovchain`

### Examples

1 2 3 4 | ```
seq<-c("a", "b", "a", "a", "a", "a", "b", "a", "b", "a", "b", "a", "a", "b", "b", "b", "a")
mcfit<-markovchainFit(data=seq,byrow=TRUE)
seqmat<-createSequenceMatrix(seq)
multinomialConfidenceIntervals(mcfit$estimate@transitionMatrix, seqmat, 0.95)
``` |

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