Package: syntheticdata
Title: Synthetic Clinical Data Generation and Privacy-Preserving
        Validation
Version: 0.1.0
Authors@R: 
    person("Cuiwei", "Gao", , "48gaocuiwei@gmail.com",
    role = c("aut", "cre", "cph"))
Description: Generates synthetic clinical datasets that preserve
    statistical properties while reducing re-identification risk.
    Implements Gaussian copula simulation, bootstrap with noise
    injection, and Laplace noise perturbation, with built-in utility
    and privacy validation metrics. Useful for privacy-aware data
    sharing in multi-site clinical research. Validates synthetic data
    quality via distributional similarity (Kolmogorov-Smirnov),
    discriminative accuracy (real-vs-synthetic classifier), and
    nearest-neighbor privacy ratio. Methods described in Jordon et al.
    (2022) <doi:10.48550/arXiv.2205.03257> and Snoke et al. (2018)
    <doi:10.1111/rssa.12358>.
License: MIT + file LICENSE
URL: https://github.com/CuiweiG/syntheticdata
BugReports: https://github.com/CuiweiG/syntheticdata/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), dplyr (>= 1.1.0), stats, tibble (>= 3.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Language: en-US
Encoding: UTF-8
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-03-30 12:09:41 UTC; openclaw
Author: Cuiwei Gao [aut, cre, cph]
Maintainer: Cuiwei Gao <48gaocuiwei@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-02 20:20:02 UTC
Built: R 4.5.2; ; 2026-04-08 02:01:17 UTC; unix
