sdcLog: Tools for Statistical Disclosure Control in Research Data Centers

Tools for researchers to explicitly show that their results comply to rules for statistical disclosure control imposed by research data centers. These tools help in checking descriptive statistics and models and in calculating extreme values that are not individual data. Also included is a simple function to create log files. The methods used here are described in the "Guidelines for the checking of output based on microdata research" by Bond, Brandt, and de Wolf (2015) <>.

Version: 0.5.0
Depends: R (≥ 3.5)
Imports: broom (≥ 0.5.5), checkmate (≥ 2.0.0), cli, data.table (≥ 1.12.8), mathjaxr, stats, utils
Suggests: cffr, knitr, lfe, rmarkdown, skimr, spelling, testthat (≥ 3.0.0), tibble
Published: 2022-03-19
DOI: 10.32614/CRAN.package.sdcLog
Author: Matthias Gomolka [aut, cre], Tim Becker [aut], Pantelis Karapanagiotis [ctb]
Maintainer: Matthias Gomolka <matthias.gomolka at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: sdcLog results


Reference manual: sdcLog.pdf
Vignettes: Frequently Asked Questions
Introduction to sdcLog
sdcLog options


Package source: sdcLog_0.5.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sdcLog_0.5.0.tgz, r-oldrel (arm64): sdcLog_0.5.0.tgz, r-release (x86_64): sdcLog_0.5.0.tgz, r-oldrel (x86_64): sdcLog_0.5.0.tgz
Old sources: sdcLog archive


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