UpdateBeta: Update beta.
In NestedCategBayesImpute: Modeling, Imputing and Generating Synthetic Versions of Nested Categorical Data in the Presence of Impossible Combinations
Description
Usage
Arguments
Value
Author(s)
Description
Update beta – the concentration parameter in the Dirichlet process for the individual-level latent classes. Currently, this is assumed to be the same within all group-level classes.
Usage
1
UpdateBeta(ba, bb, v)
Arguments
ba
Hyper-parameter a for beta.
bb
Hyper-parameter b for beta.
v
Matrix of the beta-distributed variables in the stick breaking representation of the individual-level latent classes by the group-level latent classes.
Value
Updated (posterior) value for beta based on the corresponding full conditional distribution..
Author(s)
Quanli Wang
NestedCategBayesImpute documentation built on May 2, 2019, 3:26 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.
Description Usage Arguments Value Author(s)
Description
Update beta – the concentration parameter in the Dirichlet process for the individual-level latent classes. Currently, this is assumed to be the same within all group-level classes.
Usage
1 | UpdateBeta(ba, bb, v)
|
Arguments
ba |
Hyper-parameter a for beta. |
bb |
Hyper-parameter b for beta. |
v |
Matrix of the beta-distributed variables in the stick breaking representation of the individual-level latent classes by the group-level latent classes. |
Value
Updated (posterior) value for beta based on the corresponding full conditional distribution..
Author(s)
Quanli Wang
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.