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dapper

codecov

A data augmentation framework for privacy aware Bayesian inference.

Installation

Install the development version, including its vignette, with:

devtools::install_github("mango-empire/dapper", build_vignettes = TRUE)

Example workflow

The randomized-response vignette walks through model construction, posterior sampling, diagnostics, and a comparison with an analysis that ignores privacy noise. After installation, open it with:

vignette("randomized-response", package = "dapper")

About

❗ This is a read-only mirror of the CRAN R package repository. dapper — Data Augmentation for Private Posterior Estimation. Homepage: https://github.com/mango-empire/dapper Report bugs for this package: https://github.com/mango-empire/dapper/issues

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