UpdatePi: Update pi and u.
In NestedCategBayesImpute: Modeling, Imputing and Generating Synthetic Versions of Nested Categorical Data in the Presence of Impossible Combinations
Description
Usage
Arguments
Details
Value
Author(s)
Description
Update pi – the vector of the probabilities for the group-level latent classes – and u – the vector of the beta-distributed variables in the stick breaking representation of the group-level latent classes – when the weighting/capping option is not used.
Usage
1
UpdatePi(alpha, G_all, FF)
Arguments
alpha
Concentration parameter in the Dirichlet process for the group-level latent classes
G_all
A vector of the household-level latent class indexes for all households both in the original data and the sampled impossible households.
FF
Maximum number of household-level latent classes allowed.
Details
Function for obtaining a posterior sample of pi when the weighting/capping option is not used.
Value
A list containing the updated (posterior) values for pi and u based on the corresponding full conditional distributions.
Author(s)
Quanli wang
NestedCategBayesImpute documentation built on May 2, 2019, 3:26 p.m.
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Description Usage Arguments Details Value Author(s)
Description
Update pi – the vector of the probabilities for the group-level latent classes – and u – the vector of the beta-distributed variables in the stick breaking representation of the group-level latent classes – when the weighting/capping option is not used.
Usage
1 | UpdatePi(alpha, G_all, FF)
|
Arguments
alpha |
Concentration parameter in the Dirichlet process for the group-level latent classes |
G_all |
A vector of the household-level latent class indexes for all households both in the original data and the sampled impossible households. |
FF |
Maximum number of household-level latent classes allowed. |
Details
Function for obtaining a posterior sample of pi when the weighting/capping option is not used.
Value
A list containing the updated (posterior) values for pi and u based on the corresponding full conditional distributions.
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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