synMicrodata: Synthetic Microdata Generator

This tool fits a non-parametric Bayesian model called "hierarchically coupled mixture model (HCMM)" to the original microdata in order to generate synthetic microdata for privacy protection. The non-parametric feature of the adopted model is useful for catching the joint distribution of the original data in a highly flexible manner, leading to the generation of synthetic data very similar to the original data. Important reference papers on this method include Murray & Reiter (2016) <doi:10.1080/01621459.2016.1174132>.

Version: 1.0.0
Imports: methods, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Published: 2023-02-06
Author: Hang J. Kim [aut, cre], Juhee Lee [aut], Young-Min Kim [aut]
Maintainer: Hang J. Kim <hangkim0 at>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: synMicrodata results


Reference manual: synMicrodata.pdf


Package source: synMicrodata_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): synMicrodata_1.0.0.tgz, r-oldrel (arm64): synMicrodata_1.0.0.tgz, r-release (x86_64): synMicrodata_1.0.0.tgz


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