ClusterParameterUpdate: Update the cluster parameters of the Dirichlet process.
In dirichletprocess: Build Dirichlet Process Objects for Bayesian Modelling
View source: R/cluster_parameter_update.R
ClusterParameterUpdate R Documentation
Update the cluster parameters of the Dirichlet process.
Description
Update the parameters of each individual cluster using all the data assigned to the particular cluster.
A sample is taken from the posterior distribution using a direct sample if the mixing distribution is conjugate or the Metropolis Hastings algorithm for non-conjugate mixtures.
Usage
ClusterParameterUpdate(dpObj)
Arguments
dpObj
Dirichlet process object
Value
Dirichlet process object with update cluster parameters
Examples
dp <- DirichletProcessGaussian(rnorm(10))
dp <- ClusterParameterUpdate(dp)
dirichletprocess documentation built on Aug. 25, 2023, 5:19 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.
View source: R/cluster_parameter_update.R
| ClusterParameterUpdate | R Documentation |
Update the cluster parameters of the Dirichlet process.
Description
Update the parameters of each individual cluster using all the data assigned to the particular cluster. A sample is taken from the posterior distribution using a direct sample if the mixing distribution is conjugate or the Metropolis Hastings algorithm for non-conjugate mixtures.
Usage
ClusterParameterUpdate(dpObj)
Arguments
dpObj |
Dirichlet process object |
Value
Dirichlet process object with update cluster parameters
Examples
dp <- DirichletProcessGaussian(rnorm(10))
dp <- ClusterParameterUpdate(dp)
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.