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syntheticdata

Synthetic Clinical Data Generation and Privacy-Preserving Validation

v0.1.0 · Apr 2, 2026 · MIT + file LICENSE

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>.

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OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
NOTE 12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 8, 2026
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Cuiwei Gao <48gaocuiwei@gmail.com>’

Reading Rd files failed with message:
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Problems when formatting CITATION entries:
  cannot open file '/tmp/RtmpjLjzh2/Rf29dee72ce7445': No space left on device
OK 3 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 3, 2026

Dependency Network

Dependencies Reverse dependencies cli dplyr tibble syntheticdata

Version History

1 tracked
new 0.1.0 Apr 2, 2026