SOCR/DataSifterII: Data Sifter II Algorithm to Create Privacy-preserving Time-varying Data

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.

Getting started

Package details

AuthorNina Zhou, Simeone Marino, Ivo D. Dinov
MaintainerNina Zhou <zhounina@umich.edu>, SOCR <statistics@umich.edu>
LicenseGPL (>= 2)
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("SOCR/DataSifterII")
SOCR/DataSifterII documentation built on Dec. 15, 2021, 10:29 a.m.