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.
UpdatePiWeighted(alpha, G_all, FF, struc_weight)Concentration parameter in the Dirichlet process for the group-level latent classes
A vector of the household-level latent class indexes for all households both in the original data and the sampled impossible households.
Maximum number of household-level latent classes allowed.
A vector of weights by household sizes used in capping the number of sampled impossible households.
A list containing the updated (posterior) values for pi and u based on the corresponding full conditional distributions.
Function for obtaining a posterior sample of pi when the weighting/capping option is used.