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FakeDataR  

Privacy-Preserving Synthetic Data for 'LLM' Workflows
View on CRAN: Click here


Download and install FakeDataR package within the R console
Install from CRAN:
install.packages("FakeDataR")

Install from Github:
library("remotes")
install_github("cran/FakeDataR")

Install by package version:
library("remotes")
install_version("FakeDataR", "0.2.2")



Attach the package and use:
library("FakeDataR")
Maintained by
Zobaer Ahmed
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-06
Latest Update: 2025-10-06
Description:
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>.
How to cite:
Zobaer Ahmed (2025). FakeDataR: Privacy-Preserving Synthetic Data for 'LLM' Workflows. R package version 0.2.2, https://cran.r-project.org/web/packages/FakeDataR. Accessed 27 Oct. 2026.
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Full FakeDataR package functions and examples
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