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Corrects coefficient estimates from OLS regression when data matrix contains known measurement error

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PrivacyUnbiased

This software implements the methods described in Georgina Evans and Gary King, "Statistically Valid Inferences from Differentially Private Data Releases"; See http://garyking.org/dpd

Install the software by running the following code:

devtools::install_github("georgieevans/PrivacyUnbiased")

library(PrivacyUnbiased)

Read an overview of the package:

https://github.com/georgieevans/PrivacyUnbiased/blob/master/Example/Example.pdf

PrivacyUnbiased provides methods to analyze differentially private data. For a system to release differentially private statistics from privacy protected data as presented in https://gking.harvard.edu/files/gking/files/udp.pdf, see our software UnbiasedPrivacy:

https://github.com/schwenzfeier/udp

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Corrects coefficient estimates from OLS regression when data matrix contains known measurement error

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