UpdatePiWeighted {NestedCategBayesImpute} | R Documentation |
Update pi and u.
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 used. The weighting options allows capping the number of impossible households to sample and re-weight the multinomial counts within each latent class back to the expected truth.
Usage
UpdatePiWeighted(alpha, G_all, FF, struc_weight)
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. |
struc_weight |
A vector of weights by household sizes used in capping the number of sampled impossible households. |
Details
Function for obtaining a posterior sample of pi when the weighting/capping option is used.
Value
A list containing the updated (posterior) values for pi and u based on the corresponding full conditional distributions.
Author(s)
Quanli wang, Olanrewaju Akande