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 (may not be active yet) |
| 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 |
| Reference manual: | syntheticdata.html , syntheticdata.pdf |
| Vignettes: |
Generating and validating synthetic clinical data (source, R code) |
| 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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