SimpleEx

This data set gives a simple example consisting of observed data, ratio edits and a (simple) balance edit.

datasets

An integrated editing and imputation method for continuous microdata under linear constraints is implemented. It relies on a Bayesian nonparametric hierarchical modeling approach as described in Kim et al. (2015) <doi:10.1080/01621459.2015.1040881>. In this approach, the joint distribution of the data is estimated by a flexible joint probability model. The generated edit-imputed data are guaranteed to satisfy all imposed edit rules, whose types include ratio edits, balance edits and range restrictions.

Hang Kim

EditImputeCont

Simultaneous Edit-Imputation for Continuous Microdata

SimpleEx function

A list containing the followings:<ul>
<li>D.obs: <code>data.frame</code> of observed data with \(n=1000\) records and \(p=4\) variables.</li>
<li>Ratio.edit: <code>data.frame</code> of two ratio edits.</li>
<li>Balance.edit: <code>data.frame</code> of a balance edit.</li>
</ul>

SimpleEx: Simple Data Example With Four Variables

Description

Usage

Arguments

Format

See Also