Package: syntheticdata
Title: Synthetic Clinical Data Generation and Privacy-Preserving
        Validation
Version: 0.1.1
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,
        https://cuiweig.github.io/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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Repository: https://cuiweig.r-universe.dev
Date/Publication: 2026-04-19 15:50:48 UTC
RemoteUrl: https://github.com/cuiweig/syntheticdata
RemoteRef: HEAD
RemoteSha: 24fa64a23f20a507a98846120c522f94efcc5b86
NeedsCompilation: no
Packaged: 2026-06-18 07:24:40 UTC; root
Author: Cuiwei Gao [aut, cre, cph]
Maintainer: Cuiwei Gao <48gaocuiwei@gmail.com>