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) <https://ec.europa.eu/eurostat/cros/system/files/dwb_standalone-document_output-checking-guidelines.pdf>.

Version: 0.1.0
Depends: R (≥ 3.5)
Imports: broom (≥ 0.5.5), checkmate (≥ 2.0.0), crayon (≥ 1.3.4), data.table (≥ 1.12.8), methods
Suggests: callr, covr (≥ 3.5.0), devtools, here, knitr, rmarkdown, skimr, spelling, testthat (≥ 3.0.0)
Published: 2020-11-20
Author: Matthias Gomolka [aut, cre], Tim Becker [aut]
Maintainer: Matthias Gomolka <matthias.gomolka at posteo.de>
BugReports: https://github.com/matthiasgomolka/sdcLog/issues
License: GPL-3
URL: https://github.com/matthiasgomolka/sdcLog
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: sdcLog results

Downloads:

Reference manual: sdcLog.pdf
Vignettes: Frequently Asked Questions
sdcLog options
Introduction to sdcLog
Package source: sdcLog_0.1.0.tar.gz
Windows binaries: r-devel: sdcLog_0.1.0.zip, r-release: sdcLog_0.1.0.zip, r-oldrel: sdcLog_0.1.0.zip
macOS binaries: r-release: sdcLog_0.1.0.tgz, r-oldrel: sdcLog_0.1.0.tgz

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