UpdateOmega: Update omega and v.

In NestedCategBayesImpute: Modeling, Imputing and Generating Synthetic Versions of Nested Categorical Data in the Presence of Impossible Combinations

Description

Update omega – the matrix of the probabilities for the individual-level latent classes by the group-level latent classes – and v – the matrix of the beta-distributed variables in the stick breaking representation of the individual-level latent classes by the group-level latent classes – when the weighting/capping option is not used.

Usage

UpdateOmega(beta, M_all, FF, SS)

Arguments

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.
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.

Value

A list containing the updated (posterior) values for omega and v based on the corresponding full conditional distributions.

Author(s)

Quanli Wang

NestedCategBayesImpute documentation built on May 2, 2019, 3:26 p.m.