CDF.PSIdekick: Evaluate Differentially Private Algorithms for Publishing Cumulative Distribution Functions
Version 1.2

Designed by and for the community of differential privacy algorithm developers. It can be used to empirically evaluate and visualize Cumulative Distribution Functions incorporating noise that satisfies differential privacy, with numerous options made to streamline collection of utility measurements across variations of key parameters, such as epsilon, domain size, sample size, data shape, etc. Developed by researchers at Harvard PSI.

Getting started

Package details

AuthorDaniel Muise [aut,cre], Kobbi Nissim [aut], Georgios Kellaris [aut]
Date of publication2016-08-19 19:41:43
MaintainerDaniel Muise <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the CDF.PSIdekick package in your browser

Any scripts or data that you put into this service are public.

CDF.PSIdekick documentation built on May 30, 2017, 5:09 a.m.