HMMparams: Hidden Markov Model parameter estimation
In uHMM: Construct an Unsupervised Hidden Markov Model
Description
Usage
Arguments
Value
See Also
Description
This function is used by the uHMMinterface to estimate parameters of a Hidden Markov Model.
Usage
1
HMMparams(stateSeq, symbolSeq)
Arguments
stateSeq
a numeric vector of state sequencing.
symbolSeq
a numeric vector of symbol sequencing.
Value
HMMparams returns a list containing :
trans
The transition matrix.
emis
The emission matrix.
startProb
The vector of initial probability distribution (initial states are supposed equiprobable).
See Also
transitionMatrix emissionMatrix
uHMM documentation built on May 2, 2019, 9:16 a.m.
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Description Usage Arguments Value See Also
Description
This function is used by the uHMMinterface to estimate parameters of a Hidden Markov Model.
Usage
1 | HMMparams(stateSeq, symbolSeq)
|
Arguments
stateSeq |
a numeric vector of state sequencing. |
symbolSeq |
a numeric vector of symbol sequencing. |
Value
HMMparams returns a list containing :
trans |
The transition matrix. |
emis |
The emission matrix. |
startProb |
The vector of initial probability distribution (initial states are supposed equiprobable). |
See Also
transitionMatrix emissionMatrix
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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