Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Beata Nowok, Gillian M. Raab, Chris Dibben
Title: synthpop: Bespoke Creation of Synthetic Data in R
Abstract: In many contexts, confidentiality constraints severely restrict access to unique and valuable microdata. Synthetic data which mimic the original observed data and preserve the relationships between variables but do not contain any disclosive records are one possible solution to this problem. The synthpop package for R, introduced in this paper, provides routines to generate synthetic versions of original data sets. We describe the methodology and its consequences for the data characteristics. We illustrate the package features using a survey data example.

Page views:: 8416. Submitted: 2014-11-03. Published: 2016-10-28.
Paper: synthpop: Bespoke Creation of Synthetic Data in R     Download PDF (Downloads: 4662)
Supplements:
synthpop_1.3-0.tar.gz: R source package Download (Downloads: 250; 611KB)
v74i11.R: R replication code Download (Downloads: 409; 3KB)
DOI: 10.18637/jss.v074.i11

by
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.