foralg_covar: Execute the forward algorithm
In simonecollier/lizardHMM: Fitting Lizard Movement Data with HMMs
Description
Execute the forward algorithm
Usage
1
foralg_covar(n, N, foo, gamma, allprobs)
Arguments
n
The length of the timeseries.
N
The number of states in the HMM.
foo
The initial state distributions (delta).
gamma
An array containing the transition probability matrices.
allprobs
As outputted by the funtions norm_allporbs
simonecollier/lizardHMM documentation built on Dec. 23, 2021, 2:24 a.m.
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Description
Execute the forward algorithm
Usage
1 | foralg_covar(n, N, foo, gamma, allprobs)
|
Arguments
n |
The length of the timeseries. |
N |
The number of states in the HMM. |
foo |
The initial state distributions (delta). |
gamma |
An array containing the transition probability matrices. |
allprobs |
As outputted by the funtions norm_allporbs |
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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