PSinference: Inference for Released Plug-in Sampling Single Synthetic Dataset

Mina Norouzirad

Jan 1, 2024

PSinference R Package Logo

Overview

PSinference is an R package designed for statistical inference on synthetic datasets generated using plug-in sampling methods. This package provides researchers with robust analytical tools specifically tailored for working with privacy-preserving synthetic data.

Key Features

Statistical Inference Tools: Comprehensive methods for analyzing synthetic datasets
Plug-in Sampling Support – Specialized functions for datasets created via plug-in sampling
Privacy-Preserving Analytics – Tools designed with data privacy considerations
Easy Integration– Seamless integration with existing R workflows

Installation

Install the package from CRAN:

install.packages("PSinference")

Or install the development version from GitHub:

# install.packages("devtools")
devtools::install_github("ricardomourarpm/PSinference")

Quick Start

library(PSinference)

# Example usage (add your specific examples here)
# Basic inference on synthetic data
# result <- ps_inference(your_synthetic_data)

Authors

Ricardo Moura : Lead Developer
Mina Norouzirad : Developer
Vítor Augusto : Contributor
Miguel Fonseca : Contributor

Documentation

For detailed documentation, please refer to:

Citation

If you use PSinference in your research, please cite:

@Manual{PSinference2024,
  title = {PSinference: Inference for Released Plug-in Sampling Single Synthetic Dataset},
  author = {Ricardo Moura and Vítor Augusto and Miguel Fonseca},
  year = {2024},
  note = {R package},
  url = {https://cran.r-project.org/package=PSinference}
}

License

GPL (>= 2)

Contributing

Contributions are welcome! Please see our GitHub repository

R Package