georgieevans/PrivacyUnbiased: Unbiased Estimates from Privacy Protected Data

Corrects coefficient estimates from OLS regression when covariates contain known measurement error. Provides two methods for obtaining honest uncertainty estimates, using either a simulation procedure or a bootstrap. Implements "Statistically Valid Inferences from Differentially Private Data Releases"; See http://garyking.org/dpd

Getting started

Package details

Maintainer
License
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("georgieevans/PrivacyUnbiased")
georgieevans/PrivacyUnbiased documentation built on May 22, 2021, 1:01 p.m.