SOCR/DataSifter: Lite Version of DataSifter Algorithm to Create Privacy-preserving Data
The DataSifter package contains a set of effective tools for raw data preprocessing, subject obfuscation, creation of information- and privacy-preserving datasets from raw data. It guarantees subjects' privacy while preserving the most information contained in the original dataset (relative energy preservation). DataSifter allows user-defined privacy levels to be added to the dataset.
Getting started
Browse package contents
Package details |
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| Author | Nina Zhou, Simeone Marino, Ivo D. Dinov |
| Maintainer | Nina Zhou <zhounina@umich.edu>, SOCR <statistics@umich.edu> |
| License | GPL (>= 2) |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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