UpdateAlpha: Update alpha.
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 alpha – the concentration parameter in the Dirichlet process for the group-level latent classes.
Usage
1
UpdateAlpha(aa, ab, u)
Arguments
aa
Hyper-parameter a for alpha.
ab
Hyper-parameter b for alpha.
u
Vector of the beta-distributed variables in the stick breaking representation of the group-level latent classes.
Value
Updated (posterior) value for alpha based on the corresponding full conditional distribution.
Author(s)
Quanli Wang
NestedCategBayesImpute documentation built on May 2, 2019, 3:26 p.m.
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Description Usage Arguments Value Author(s)
Description
Update alpha – the concentration parameter in the Dirichlet process for the group-level latent classes.
Usage
1 | UpdateAlpha(aa, ab, u)
|
Arguments
aa |
Hyper-parameter a for alpha. |
ab |
Hyper-parameter b for alpha. |
u |
Vector of the beta-distributed variables in the stick breaking representation of the group-level latent classes. |
Value
Updated (posterior) value for alpha 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.
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