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sdcLog
View on CRAN: Click
here
Download and install sdcLog package within the R console
Install from CRAN:
install.packages("sdcLog")
Install from Github:
library("remotes")
install_github("cran/sdcLog") Install by package version:
library("remotes")
install_version("sdcLog", "0.5.1") Attach the package and use:
library("sdcLog")
Maintained by
Matthias Gomolka
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-20
Latest Update: 2025-05-03
Description:
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)
.
How to cite:
Matthias Gomolka (2020). sdcLog: Tools for Statistical Disclosure Control in Research Data Centers. R package version 0.5.1, https://cran.r-project.org/web/packages/sdcLog. Accessed 06 Mar. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for sdcLog
Functions, R codes and Examples using
the sdcLog R package
Some associated functions: common_arguments . print.sdc_distinct_ids . sdc_descriptives . sdc_descriptives_DT . sdc_log . sdc_min_max . sdc_min_max_DT . sdc_model . sdc_model_DT .
Some associated R codes: arguments.R . check_distinct_ids.R . check_dominance.R . datasets.R . is_dummy.R . print_methods.R . sdc_descriptives.R . sdc_log.R . sdc_min_max.R . sdc_model.R . status_messages.R . subset_zero.R . utils.R . warn_distinct_ids.R . Full sdcLog package functions and examples
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