initData: Initialize the input data structure.

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

Description

Initialize the input data structure.

Usage

initData(md)

Arguments

md	A list holds all the input data with optional missing data info.

Value

A list object including all the necessary data variables needed by the sampler.

origdata	Original data.
n_i	Vector containing the number of individuals in each household in the data.
n	Number of households in the data
HHdataorigT	The transposed household level data – each column now represents each household.
HHserial	Vector containing the household index for each individual in the data.
n_individuals	The total number of individuals N across all n households in the input data.
n_individuals_real	The real total number of individuals N across all n households. The is the same as n_individuals if the household head hasn't been moved to the household level and different otherwise.
p	Number of individual-level variables.
d	Vector containing the number of levels for each of the p variables.
dataT	The transposed individual level data – each column now represents each individual.
maxd	The max value in d
n_star_h	Vector containing the number of observed households for the different household sizes in the original data.

Author(s)

Quanli Wang

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