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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")

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.