SampleMissing: Sample and update missing data

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

Description

Sample and update missing data if missing data are presented in the input

Usage

SampleMissing(MissData, para, orig, G_household, M, hyper)

Arguments

MissData	The missing data structure that provides all infro related to missing data
para	A list of the initial values of the parameters; output of the initParameters function.
orig	A list object including all the necessary data variables needed by the sampler.
G_household	group level household index
M	individual level latent class indexes
hyper	Hyper parameters for the prior distributions.

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