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 |
| Author: | Zobaer Ahmed [aut, cre] |
| Maintainer: | Zobaer Ahmed <zunnun09 at gmail.com> |
| BugReports: | https://github.com/zobaer09/FakeDataR/issues |
| License: | MIT + fileLICENSE |
| 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:FakeDataR_0.2.2.zip, r-release:FakeDataR_0.2.2.zip, r-oldrel:FakeDataR_0.2.2.zip |
| macOS binaries: | r-release (arm64):FakeDataR_0.2.2.tgz, r-oldrel (arm64):FakeDataR_0.2.2.tgz, r-release (x86_64):FakeDataR_0.2.2.tgz, r-oldrel (x86_64):FakeDataR_0.2.2.tgz |
Please use the canonical formhttps://CRAN.R-project.org/package=FakeDataRto link to this page.