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>.
| Version: | 0.2.2 |
| Imports: | dplyr, jsonlite, zip |
| Suggests: | readr, testthat (≥ 3.0.0), knitr, rmarkdown, DBI, RSQLite, tibble, nycflights13, palmerpenguins, gapminder, arrow, withr |
| Published: | 2025-10-06 |
| DOI: | 10.32614/CRAN.package.FakeDataR (may not be active yet) |
| Author: | Zobaer Ahmed [aut, cre] |
| Maintainer: | Zobaer Ahmed <zunnun09 at gmail.com> |
| BugReports: | https://github.com/zobaer09/FakeDataR/issues |
| License: | MIT + file LICENSE |
| URL: | https://zobaer09.github.io/FakeDataR/, https://github.com/zobaer09/FakeDataR |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | FakeDataR results |
| Reference manual: | FakeDataR.html , FakeDataR.pdf |
| Vignettes: |
Database schema workflow (no data read) (source, R code) FakeDataR: Getting started (source, R code) Privacy and validation (source, R code) |
| Package source: | FakeDataR_0.2.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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