stateProbs: State probabilities
In moveHMM: Animal Movement Modelling using Hidden Markov Models
stateProbs R Documentation
State probabilities
Description
For a given model, computes the probability of the process being in the different states
at each time point.
Usage
stateProbs(m)
Arguments
m
A moveHMM object.
Value
The matrix of state probabilities, with element [i,j] the probability
of being in state j in observation i.
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$m
sp <- stateProbs(m)
moveHMM documentation built on May 31, 2023, 6:13 p.m.
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| stateProbs | R Documentation |
State probabilities
Description
For a given model, computes the probability of the process being in the different states at each time point.
Usage
stateProbs(m)
Arguments
m |
A |
Value
The matrix of state probabilities, with element [i,j] the probability of being in state j in observation i.
References
Zucchini, W. and MacDonald, I.L. 2009. Hidden Markov Models for Time Series: An Introduction Using R. Chapman & Hall (London).
Examples
# m is a moveHMM object (as returned by fitHMM), automatically loaded with the package
m <- example$m
sp <- stateProbs(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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