CRAN/E | sdcMicro

sdcMicro

Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation

Installation

About

Data from statistical agencies and other institutions are mostly confidential. This package (see also Templ, Kowarik and Meindl (2017) doi:10.18637/jss.v067.i04) can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) doi:10.1007/978-3-319-50272-4. Various risk estimation and anonymisation methods are included. Note that the package includes a graphical user interface (Meindl and Templ, 2019 doi:10.3390/a12090191) that allows to use various methods of this package.

Citation sdcMicro citation info
github.com/sdcTools/sdcMicro

Key Metrics

Version 5.7.7
R ≥ 2.10
Published 2024-01-08 109 days ago
Needs compilation? yes
License GPL-2
CRAN checks sdcMicro results

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Maintainer

Maintainer

Matthias Templ

matthias.templ@gmail.com

Authors

Matthias Templ

aut / cre

Bernhard Meindl

aut

Alexander Kowarik

aut

Johannes Gussenbauer

aut

Organisation For Economic Co-Operation And Development

cph

(Initial published c(++) code (under LGPL) code for rank swapping, mdav-microaggregation, suda2 and other (hierarchical) risk measures)

Statistics Netherlands

cph

(microAggregation cpp code (under EUPL v1.1))

Pascal Heus

cph

(original measure threshold cpp code (under LGPL))

Material

README
NEWS
Reference manual
Package source

In Views

OfficialStatistics

Vignettes

Targeted Record Swapping
Using the interactive GUI - sdcApp

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

sdcMicro archive

Depends

R ≥ 2.10

Imports

utils
stats
graphics
car
carData
rmarkdown
knitr
data.table
xtable
robustbase
cluster
MASS
e1071
tools
Rcpp
methods
ggplot2
shiny ≥ 1.4.0
haven
rhandsontable
DT
shinyBS
prettydoc
VIM ≥ 4.7.0

Suggests

laeken
testthat

LinkingTo

Rcpp