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In synthpop: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control
synthpop-package R Documentation
Generating synthetic versions of sensitive microdata for statistical disclosure control
Description
Generate synthetic versions of a data set using parametric or CART methods.
Details
Package: synthpop
Type: Package
Version: 1.8-0
Date: 2022-08-31
License: GPL-2 | GPL-3
Synthetic data are generated from the original (observed) data by the function
syn. The package includes also tools to compare synthetic data with the
observed data (compare.synds) and to fit (generalized) linear model to
synthetic data (lm.synds, glm.synds) and compare the estimates
with those for the observed data (compare.fit.synds). More extensive
documentation with illustrative examples is provided in the package vignette.
Author(s)
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 <beata.nowok@gmail.com>
References
Nowok, B., Raab, G.M and Dibben, C. (2016). synthpop: Bespoke
creation of synthetic data in R. Journal of Statistical Software,
74(11), 1-26. doi: 10.18637/jss.v074.i11.
synthpop documentation built on Aug. 31, 2022, 5:06 p.m.
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| synthpop-package | R Documentation |
Generating synthetic versions of sensitive microdata for statistical disclosure control
Description
Generate synthetic versions of a data set using parametric or CART methods.
Details
| Package: | synthpop |
| Type: | Package |
| Version: | 1.8-0 |
| Date: | 2022-08-31 |
| License: | GPL-2 | GPL-3 |
Synthetic data are generated from the original (observed) data by the function
syn. The package includes also tools to compare synthetic data with the
observed data (compare.synds) and to fit (generalized) linear model to
synthetic data (lm.synds, glm.synds) and compare the estimates
with those for the observed data (compare.fit.synds). More extensive
documentation with illustrative examples is provided in the package vignette.
Author(s)
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 <beata.nowok@gmail.com>
References
Nowok, B., Raab, G.M and Dibben, C. (2016). synthpop: Bespoke creation of synthetic data in R. Journal of Statistical Software, 74(11), 1-26. doi: 10.18637/jss.v074.i11.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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