initParameters {NestedCategBayesImpute}

Initialize the model parameters for the MCMC.

Description

Initialize the model parameters for the MCMC.

Usage

initParameters(data, hyper, HHhead_at_group_level)

Arguments

data

A list object including all the necessary data variables needed by the sampler; output of the ⁠initData⁠ function.

hyper

Hyper parameters for the prior distributions.

HHhead_at_group_level

Logical indicator for data structure with respect to the household head. Set to TRUE if the household head has been moved to the household level and FALSE otherwise.

Value

A list of the initial values of the parameters.

alpha

Concentration parameter in the Dirichlet process for the group-level latent classes.

beta

Concentration parameter in the Dirichlet process for the individual-level latent classes. Currently, this is assumed to be the same within all group-level classes.

phi

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.

HHdata_all

The transposed household level data – each column represents each household.

lambda

A list of matrices of the group-level probabilities for each group-level variable by the group-level latent classes. Each matrix in the list is for each group-level variable.

u

Vector of the beta-distributed variables in the stick breaking representation of the group-level latent classes.

pi

Vector of the probabilities for the group-level latent classes.

v

Matrix of the beta-distributed variables in the stick breaking representation of the individual-level latent classes by the group-level latent classes.

omega

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

Author(s)

Quanli Wang