casc1

<p>Small Toy Example Data set which was used by Sanz-Mateo et.al.</p>

datasets

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.

Matthias Templ

sdcMicro

Statistical Disclosure Control Methods for Anonymization of Data
and Risk Estimation

Bernhard Meindl

Alexander Kowarik

casc1 function

<p>The format is: int [1:13, 1:7] 10 12 17 21 9 12 12 14 13 15 ...  -
attr(*, "dimnames")=List of 2 ..$ : chr [1:13] "1" "2" "3" "4" ...  ..$ :
chr [1:7] "1" "2" "3" "4" ...</p>

casc1: Small Artificial Data set

Description

Arguments

Format

Examples