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synthpop  

Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control
View on CRAN: Click here


Download and install synthpop package within the R console
Install from CRAN:
install.packages("synthpop")

Install from Github:
library("remotes")
install_github("cran/synthpop")

Install by package version:
library("remotes")
install_version("synthpop", "1.8-0")



Attach the package and use:
library("synthpop")
Maintained by
Beata Nowok
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-18
Latest Update: 2022-08-31
Description:
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>.
How to cite:
Beata Nowok (2014). synthpop: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control. R package version 1.8-0, https://cran.r-project.org/web/packages/synthpop
Previous versions and publish date:
1.0-0 (2014-08-18 17:15), 1.1-0 (2015-02-21 01:26), 1.1-1 (2015-07-08 13:22), 1.2-0 (2016-02-03 22:06), 1.2-1 (2016-03-15 15:10), 1.3-0 (2016-10-24 23:30), 1.3-1 (2016-11-23 14:09), 1.3-2 (2017-07-10 14:13), 1.4-0 (2017-11-20 19:09), 1.4-1 (2018-01-06 01:04), 1.4-3 (2018-03-19 17:54), 1.4-4 (2018-06-27 15:48), 1.5-0 (2018-08-16 20:40), 1.5-1 (2019-03-20 18:00), 1.6-0 (2020-09-04 10:10), 1.7-0 (2021-11-17 12:30)
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