synthpop-package

synthpop

Generate synthetic versions of a data set using parametric or CART methods.

package

A tool for producing synthetic versions of microdata containing confidential information so that they are safe to be released to users for exploratory analysis. The key objective of generating synthetic data is to replace sensitive original values with synthetic ones causing minimal distortion of the statistical information contained in the data set. Variables, which can be categorical or continuous, are synthesised one-by-one using sequential modelling. Replacements are generated by drawing from conditional distributions fitted to the original data using parametric or classification and regression trees models. Data are synthesised via the function syn() which can be largely automated, if default settings are used, or with methods defined by the user. Optional parameters can be used to influence the disclosure risk and the analytical quality of the synthesised data. For a description of the implemented method see Nowok, Raab and Dibben (2016) <doi:10.18637/jss.v074.i11>.

Beata Nowok

Generating Synthetic Versions of Sensitive Microdata for
Statistical Disclosure Control

synthpop-package function

Beata Nowok, Gillian M Raab, and Chris Dibben based on package mice 
(2.18) by Stef van Buuren and Karin Groothuis-Oudshoorn
Maintainer: Beata Nowok &lt;beata.nowok@gmail.com&gt;

Package:	synthpop
Type:	Package
Version:	1.8-0
Date:	2022-08-31
License:	GPL-2 \| GPL-3

synthpop-package: Generating synthetic versions of sensitive microdata for statistical disclosure control

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