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 gmail.com> |
License: |
GPL (≥ 3) |
NeedsCompilation: |
yes |
CRAN checks: |
synMicrodata results |
Documentation:
Downloads:
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