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SynthTools: Tools and Tests for Experiments with Partially Synthetic Data Sets

A set of functions to support experimentation in the utility of partially synthetic data sets. All functions compare an observed data set to one or a set of partially synthetic data sets derived from the observed data to (1) check that data sets have identical attributes, (2) calculate overall and specific variable perturbation rates, (3) check for potential logical inconsistencies, and (4) calculate confidence intervals and standard errors of desired variables in multiple imputed data sets. Confidence interval and standard error formulas have options for either synthetic data sets or multiple imputed data sets. For more information on the formulas and methods used, see Reiter & Raghunathan (2007) <doi:10.1198/016214507000000932>.

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: dplyr, magrittr, Rdpack, utils
Suggests: synthpop, testthat (≥ 2.1.0), spelling
Published: 2020-03-11
DOI: 10.32614/CRAN.package.SynthTools
Author: Charlotte Looby [aut, cre]
Maintainer: Charlotte Looby <clooby at rti.org>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Language: en-US
Materials: README NEWS
In views: MissingData
CRAN checks: SynthTools results

Documentation:

Reference manual: SynthTools.pdf

Downloads:

Package source: SynthTools_1.0.1.tar.gz
Windows binaries: r-devel: SynthTools_1.0.1.zip, r-release: SynthTools_1.0.1.zip, r-oldrel: SynthTools_1.0.1.zip
macOS binaries: r-release (arm64): SynthTools_1.0.1.tgz, r-oldrel (arm64): SynthTools_1.0.1.tgz, r-release (x86_64): SynthTools_1.0.1.tgz, r-oldrel (x86_64): SynthTools_1.0.1.tgz
Old sources: SynthTools archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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