Update phi -- the matrix of posterior samples for the individual-level probabilities for each individual-level variable by each pair of group-level and individual-level latent classes -- when the weighting/capping option is not used.
UpdatePhi(data, M_all, FF, SS, d, maxd)Data matrix for the individual-level data from both the original data and the sampled impossible households.
A vector of both the household-level and individual-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.
Maximum number of individual-level latent classes allowed.
A vector for the number of levels of each individual-level variable.
Maximum value in d.
Updated (posterior) value for phi based on the corresponding full conditional distribution.
Function for obtaining a posterior sample of phi when the weighting/capping option is not used.