sampleM

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.

data

Matrix of the probabilities for the individual-level latent classes by the group-level latent classes.

omega

Household-level latent class indexes.

Vector containing the household index for each individual in the data.

serial

Logical indicator for running the function in parallel mode.

Parallel

Update individual level latent class indexes.

sampler

individual level

This tool set provides a set of functions to fit the nested Dirichlet process mixture of products of multinomial distributions (NDPMPM) model for nested categorical household data in the presence of impossible combinations. It has direct applications in imputing missing values for and generating synthetic versions of nested household data.

sampleM: Update individual level latent class indexes.

Description

Usage

Arguments

Value

Details