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FakeDataR

0.2.2Package record

Privacy-Preserving Synthetic Data for 'LLM' Workflows

0packages depend
2.7Kdownloads / year
62.0%test coverage
13/13flavors OK

Overview

About

Generate privacy-preserving synthetic datasets that mirror structure, types, factor levels, and missingness; export bundles for 'LLM' workflows (data plus 'JSON' schema and guidance); and build fake data directly from 'SQL' database tables without reading real rows. Methods are related to approaches in Nowok, Raab and Dibben (2016) doi:10.32614/RJ-2016-019 and the foundation-model overview by Bommasani et al. (2021) doi:10.48550/arXiv.2108.07258.

Changes in 0.2.2
  • CRAN resubmission:
  • Replaced arXiv URL with arXiv DOI (doi:10.48550/arXiv.2108.07258).
  • Ensured software/API names are in single quotes (e.g., 'SQL', 'LLM').
  • Expanded acronym in Title (“LLM = Large Language Model”).
  • Documentation tidy-ups:
  • Added \value{} to generate_fake_from_schema() and clarified return classes.
  • Minor wording/typo fixes across vignettes and Rd files.
  • CI/docs:
  • Fixed pkgdown workflow and GitHub Pages settings.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.2
READMEYes · 248 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 0.2.2Citation fileNoWebsiteYes · pkgdown
Description cites an R Journal article
Help pages
13
Examples that run
67%2 run in a plain check (1 of them under a condition) · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
23%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.7K
CRAN downloads in the past year
Rank #17,613 · ~7/day · ~227/mo
Daily download trend is not available in this view yet.
28930 days
73390 days
2.7K1 year
Compare downloads with other packages →
Also on64 r2u5 autocran

Repository

16Stars
1Forks
0Open issues
0Open PRs
0Releases
73Commits
2Commit identities
73 commits · Last activity 2025-10-08 · +6.7% stars, 30d
Responsiveness
not measured

Stars over time

2026-07-14 · 152026-10-09 · 16
PracticesBeta

9 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/zobaer09/fakedatar on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Docs source (4)
README.Rmdpkgdown

GitHub Pages site · The repository has a site deploy workflow

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
Show all practicesHide 1 practice
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)

Installing FakeDataR adds 17 packages (11 with compiled code, 6.6 MB of source tarballs). Heaviest: jsonlite 1.0 MB, vctrs 1.0 MB, dplyr 902 KB.

Depends (0)
none
Imports (3)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.2.2 (2025)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.2Latest
    2025-10-06 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-10-06
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Download size
62 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FakeDataR")
Ahmed, Z. (2025). FakeDataR: Privacy-Preserving Synthetic Data for 'LLM' Workflows (Version 0.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.FakeDataR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FakeDataR version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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