viterbi: Viterbi algorithm
In moveHMM: Animal Movement Modelling using Hidden Markov Models
viterbi R Documentation
Viterbi algorithm
Description
For a given model, reconstructs the most probable states sequence,
using the Viterbi algorithm.
Usage
viterbi(m, newdata = NULL)
Arguments
m
An object moveHMM
newdata
An object moveData (optional)
Value
The sequence of most probable states.
References
Zucchini, W. and MacDonald, I.L. 2009.
Hidden Markov Models for Time Series: An Introduction Using R.
Chapman & Hall (London).
Examples
# m is a moveHMM object (as returned by fitHMM), automatically loaded with the package
m <- example$m
# reconstruction of states sequence
states <- viterbi(m)
moveHMM documentation built on May 31, 2023, 6:13 p.m.
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| viterbi | R Documentation |
Viterbi algorithm
Description
For a given model, reconstructs the most probable states sequence, using the Viterbi algorithm.
Usage
viterbi(m, newdata = NULL)
Arguments
m |
An object |
newdata |
An object |
Value
The sequence of most probable states.
References
Zucchini, W. and MacDonald, I.L. 2009. Hidden Markov Models for Time Series: An Introduction Using R. Chapman & Hall (London).
Examples
# m is a moveHMM object (as returned by fitHMM), automatically loaded with the package
m <- example$m
# reconstruction of states sequence
states <- viterbi(m)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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