NEWS.md

In FakeDataR: Privacy-Preserving Synthetic Data for 'LLM' Workflows

FakeDataR 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.

FakeDataR 0.2.1

• CRAN fixes: expanded acronym, quoted software names, added references.
• Replaced \dontrun{} with \donttest{} in examples where feasible.
• Added \value{} sections; RNG avoids .GlobalEnv writes (uses withr::with_seed()).

FakeDataR 0.2.0

• Initial public submission:
• generate_fake_data() with category/numeric/column modes.
• generate_fake_with_privacy() (sensitive detection + strategies).
• export_fake() (CSV/RDS/Parquet), llm_bundle() & llm_bundle_from_db().
• prepare_input_data() normalization helpers; POSIXct/date handling.
• Vignettes: getting started, DB workflow, privacy & validation.

FakeDataR documentation built on Nov. 6, 2025, 1:15 a.m.