R Observatory: Metrics for syntheticdata version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

syntheticdata

0.1.0Package record

Synthetic Clinical Data Generation and Privacy-Preserving Validation

0packages depend

1.2Kdownloads / year

92.1%test coverage

13/13flavors OK

Overview

About

Maintained by Cuiwei GaoCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 0.1.0

Initial release.
synthesize(): Parametric (Gaussian copula), bootstrap with noise injection, and Laplace noise perturbation methods.
validate_synthetic(): Distributional similarity (KS), correlation preservation, discriminative accuracy (AUC), and nearest-neighbor privacy ratio.
compare_methods(): Benchmark all three synthesis methods on the same dataset.
privacy_risk(): Re-identification risk assessment via nearest-neighbor distance ratio, membership inference, and attribute disclosure.
model_fidelity(): Train-on-synthetic, test-on-real predictive performance comparison.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("syntheticdata", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("CuiweiG/syntheticdata")

Development version from CuiweiG/syntheticdata. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-syntheticdata

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-syntheticdata

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-syntheticdata

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.3 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
NOTE12 OK, 1 NOTE2026-06-08
OK3 OK2026-04-03

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 399 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileYes · software entry only

Help pages: 6 (1 internal)includes a package overview page
Examples that run: 100%5 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 83%

Vignettes (1)

Generating and validating synthetic clinical data HTML

How these are measured

Downloads

1.2K

CRAN downloads in the past year

Rank #23,860 · ~3/day · ~103/mo

Releases R versions

Daily download trend is not available in this view yet.

21830 days

54090 days

1.2K1 year

Compare downloads with other packages →

Also on41 r2u4 autocran

How downloads are counted

Repository

cuiweig/syntheticdata ↗Account: CuiweiG

1Stars

0Forks

0Open issues

0Open PRs

0Releases

26Commits

1Commit identities

clinical-datacrandifferential-privacyhealthcareprivacy-preservingrr-packagesynthetic-data

26 commits · Last activity 2026-04-19 · 0% stars, 30d · Default branch at 0.1.1, ahead of CRAN 0.1.0 (checked 2026-10-25)

Responsiveness

not measured

Stars over time

2026-04-27 · 12026-07-07 · 1

How these are measured

PracticesBeta

11 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/cuiweig/syntheticdata on 2026-10-25.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Governance and community (3)

Code of conductContributing guideIssue templates

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-10-24 · The repository has a site deploy workflow

Reproducibility and dev environment (1)

data-raw/

Show all practicesHide 2 practices

CRAN release process (1)

cran-comments.md

Research and citation (1)

codemeta.json

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing syntheticdata adds 15 packages (9 with compiled code, 5.2 MB of source tarballs). Heaviest: vctrs 1.0 MB, dplyr 902 KB, rlang 766 KB.

Depends (1)

R >= 4.1.0

Imports (4)

cli dplyrstatstibble

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Cuiwei Gao

Releases (1)

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
record
2026-04-02 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-04-02
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 148 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("syntheticdata")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for syntheticdata version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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