EM: EM algorithm for estimation of system variance in Gaussian...
In ParisaBagheriTookanlou/FieldReadiness: A Markov decision process (MDP) used for scheduling tillage operations
Description
Usage
Arguments
Value
Description
EM algorithm for estimation of system variance in Gaussian SSM
Usage
1
EM(mod, fdlm1, sdlm1, Wm)
Arguments
mod
Set of parameters needed in the GSSM model.
fdlm1
Output information of filtering the GSSM using the function DLMfilter.
sdlm1
Output information of smoothing the GSSM using the function Smoother.
Wm
Updated system variance of the GSSM.
Value
Updated information of system variance W
ParisaBagheriTookanlou/FieldReadiness documentation built on Dec. 18, 2021, 6:40 a.m.
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Description Usage Arguments Value
Description
EM algorithm for estimation of system variance in Gaussian SSM
Usage
1 | EM(mod, fdlm1, sdlm1, Wm)
|
Arguments
mod |
Set of parameters needed in the GSSM model. |
fdlm1 |
Output information of filtering the GSSM using the function DLMfilter. |
sdlm1 |
Output information of smoothing the GSSM using the function Smoother. |
Wm |
Updated system variance of the GSSM. |
Value
Updated information of system variance W
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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