EMaximization_HMmdl: Maximization step of EM algorithm for Hidden Markov model
In MSTest: Hypothesis Testing for Markov Switching Models
EMaximization_HMmdl R Documentation
Maximization step of EM algorithm for Hidden Markov model
Description
This function performs the maximization step of the Expectation Maximization algorithm for Hidden Markov models.
Usage
EMaximization_HMmdl(theta, mdl, MSloglik_output, k)
Arguments
theta
Vector of model parameters.
mdl
List with model attributes.
MSloglik_output
List with output from ExpectationM_HMmdl.
k
Integer determining the number of regimes.
Value
List with new maximized parameters.
MSTest documentation built on Oct. 31, 2024, 1:06 a.m.
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| EMaximization_HMmdl | R Documentation |
Maximization step of EM algorithm for Hidden Markov model
Description
This function performs the maximization step of the Expectation Maximization algorithm for Hidden Markov models.
Usage
EMaximization_HMmdl(theta, mdl, MSloglik_output, k)
Arguments
theta |
Vector of model parameters. |
mdl |
List with model attributes. |
MSloglik_output |
List with output from |
k |
Integer determining the number of regimes. |
Value
List with new maximized parameters.
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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