# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "FakeDataR" in publications use:'
type: software
license: MIT
title: 'FakeDataR: Privacy-Preserving Synthetic Data for ''LLM'' Workflows'
version: 0.2.2
identifiers:
- type: doi
  value: 10.32614/CRAN.package.FakeDataR
abstract: 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)
  <https://doi.org/10.32614/RJ-2016-019> and the foundation-model overview by Bommasani
  et al. (2021) <https://doi.org/10.48550/arXiv.2108.07258>.
authors:
- family-names: Ahmed
  given-names: Zobaer
  email: zunnun09@gmail.com
preferred-citation:
  type: manual
  title: 'FakeDataR: Privacy-Preserving Synthetic Data for LLM Workflows'
  authors:
  - family-names: Ahmed
    given-names: Zobaer
    email: zunnun09@gmail.com
  year: '2025'
  notes: R package version 0.2.2
  url: https://CRAN.R-project.org/package=FakeDataR
repository: https://zobaer09.r-universe.dev
repository-code: https://github.com/zobaer09/FakeDataR
commit: 42943bff9d343e81823398ea6d6897bc294d9369
url: https://zobaer09.github.io/FakeDataR/
date-released: '2025-10-08'
contact:
- family-names: Ahmed
  given-names: Zobaer
  email: zunnun09@gmail.com