syntheticdata: Synthetic Clinical Data Generation and Privacy-Preserving Validation

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>.

Version:	0.1.0
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)
Published:	2026-04-02
DOI:	10.32614/CRAN.package.syntheticdata
Author:	Cuiwei Gao [aut, cre, cph]
Maintainer:	Cuiwei Gao <48gaocuiwei at gmail.com>
BugReports:	https://github.com/CuiweiG/syntheticdata/issues
License:	MIT + file LICENSE
URL:	https://github.com/CuiweiG/syntheticdata
NeedsCompilation:	no
Language:	en-US
Citation:	syntheticdata citation info
Materials:	README, NEWS
CRAN checks:	syntheticdata results

Documentation:

Reference manual:	syntheticdata.html , syntheticdata.pdf
Vignettes:	Generating and validating synthetic clinical data (source, R code)

Downloads:

Package source:	syntheticdata_0.1.0.tar.gz
Windows binaries:	r-devel: syntheticdata_0.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): syntheticdata_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

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