The DataSifter2 package contains a set of effective tools for raw data preprocessing including missing imputation, creation of information and privacy-preserving datasets from raw data that contains time-varying measurements. It obfuscates data through artifical missing introduce and longitudinal imputation. DataSifter II is aimed at maximally preserving utility while introducing a proper level of privacy protection.Time-invariant variables in the dataset are recommended to be obfuscated with DataSifter I algorithm.
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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