Package: synMicrodata
Type: Package
Title: Synthetic Microdata Generator
Version: 1.0.0
Date: 2023-02-04
Authors@R: c(person("Hang J.", "Kim", role = c("aut", "cre"),
                    email = "hangkim0@gmail.com"),
             person("Juhee", "Lee", role = "aut"),
             person("Young-Min", "Kim", role = "aut"))
Maintainer: Hang J. Kim <hangkim0@gmail.com>
Description: 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>.
License: GPL (>= 3)
Imports: methods, Rcpp
LinkingTo: Rcpp, RcppArmadillo
RcppModules: IO_module
NeedsCompilation: yes
Packaged: 2023-02-04 02:41:01 UTC; user
Author: Hang J. Kim [aut, cre],
  Juhee Lee [aut],
  Young-Min Kim [aut]
Repository: CRAN
Date/Publication: 2023-02-06 11:00:02 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2023-02-07 13:10:15 UTC; unix
Archs: synMicrodata.so.dSYM
