mixEMStep: Mixture EM Update
In SWotherspoon/MVNSeq: Normal Mixture and Hidden Markov Models
mixEMStep R Documentation
Mixture EM Update
Description
The mixture update step of the EM algorithm.
Usage
mixEMStep(K, y, pars)
Arguments
K
the number of classes
y
the sequence of observations
pars
current sequence parameters
Details
Perform a single step of the EM algorithm to fit the mixture
component of a multivariate Normal mixture model.
Value
the updated set of parameters
SWotherspoon/MVNSeq documentation built on June 1, 2022, 10:49 p.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.
| mixEMStep | R Documentation |
Mixture EM Update
Description
The mixture update step of the EM algorithm.
Usage
mixEMStep(K, y, pars)
Arguments
K |
the number of classes |
y |
the sequence of observations |
pars |
current sequence parameters |
Details
Perform a single step of the EM algorithm to fit the mixture component of a multivariate Normal mixture model.
Value
the updated set of 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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.