Description Usage Arguments Value References Examples

For a given model, computes the probability of the process being in the different states at each time point.

1 | ```
stateProbs(m)
``` |

`m` |
A |

The matrix of state probabilities, with element [i,j] the probability of being in state j in observation i.

Zucchini, W. and MacDonald, I.L. 2009. Hidden Markov Models for Time Series: An Introduction Using R. Chapman & Hall (London).

1 2 3 4 | ```
# m is a moveHMM object (as returned by fitHMM), automatically loaded with the package
m <- example$m
sp <- stateProbs(m)
``` |

moveHMM documentation built on June 7, 2018, 5:05 p.m.

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