dUtility

<code>dUtility()</code> allows to compute different measures of data-utility based
on various distances using original and perturbed variables.

manip

Data from statistical agencies and other institutions are mostly
confidential. This package, introduced in 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 anonymization methods are included. Note that the package
includes a graphical user interface published in 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

Johannes Gussenbauer

Organisation For Economic Co-Operation And Development 

Statistics Netherlands 

Pascal Heus 

dUtility function

<dl><dt>obj</dt>
<dd>original data or object of class sdcMicroObj</dd>
<dt>...</dt>
<dd>see arguments below<ul>
<li>xm: perturbed data</li>
<li>method: method IL1, IL1s or eigen. More methods are implemented in
summary.micro()</li>
</ul></dd></dl>

Arguments

Author

Data-Utility measures — dUtility

<dl>

<dt>obj</dt>
<dd>original data or object of class sdcMicroObj</dd>


<dt>...</dt>
<dd>see arguments below<ul>
<li>xm: perturbed data</li>
<li>method: method IL1, IL1s or eigen. More methods are implemented in
summary.micro()</li>
</ul></dd>

</dl>

Data-Utility measures

dUtility: Data-Utility measures

Description

Usage

Value

Arguments

Author

Details

References

See Also