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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "synMicrodata" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'synMicrodata: Synthetic Microdata Generator'
version: 2.1.0
doi: 10.32614/CRAN.package.synMicrodata
abstract: This tool fits a non-parametric Bayesian model called a "hierarchically
  coupled mixture model with local dependence (HCMM-LD)" to the original microdata
  in order to generate synthetic microdata for privacy protection. The non-parametric
  feature of the adopted model is useful for capturing the joint distribution of the
  original input data in a highly flexible manner, leading to the generation of synthetic
  data whose distributional features are similar to that of the input data. The package
  allows the original input data to have missing values and impute them with the posterior
  predictive distribution, so no missing values exist in the synthetic data output.
  The method builds on the work of Murray and Reiter (2016) <https://doi.org/10.1080/01621459.2016.1174132>.
authors:
- family-names: Kim
  given-names: Hang J.
  email: hangkim0@gmail.com
- family-names: Lee
  given-names: Juhee
- family-names: Kim
  given-names: Young-Min
- family-names: Murray
  given-names: Jared
repository: https://hang-kim-stat.r-universe.dev
commit: 4ca1d9130a1c8b2fec209ef3cb0d9ca5fd237164
date-released: '2024-11-21'
contact:
- family-names: Kim
  given-names: Hang J.
  email: hangkim0@gmail.com