UpdatePhiWeighted {NestedCategBayesImpute}

Update phi.

Description

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 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

UpdatePhiWeighted(data, M_all, FF, SS, d, maxd, struc_weight)

Arguments

data

Data matrix for the individual-level data from both the original data and the sampled impossible households.

M_all

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.

FF

Maximum number of household-level latent classes allowed.

SS

Maximum number of individual-level latent classes allowed.

d

A vector for the number of levels of each individual-level variable.

maxd

Maximum value in ⁠d⁠.

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 phi when the weighting/capping option is used.

Value

Updated (posterior) value for phi based on the corresponding full conditional distribution.

Author(s)

Quanli Wang, Olanrewaju Akande