dataganger: Synthetic Data Doubles for Safer Prototyping
Creates synthetic data doubles from real datasets for prototyping,
teaching, 'shiny' development, and AI-assisted programming. Provides data
profiling, role detection, configurable synthesis, utility comparison, and
disclosure-risk warnings. Synthetic outputs are intended to reduce direct
disclosure risk, not to guarantee privacy.
| Version: |
0.6.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
cli, digest, dplyr, haven, jsonlite, readr, readxl, rlang, stats, tibble, utils, withr, yaml, zip |
| Suggests: |
bslib, callr, DT, ggplot2, knitr, nnet, pkgdown, plotly, rmarkdown, shiny, shinytest2, spelling, synthpop, testthat (≥
3.0.0) |
| Published: |
2026-07-21 |
| DOI: |
10.32614/CRAN.package.dataganger (may not be active yet) |
| Author: |
Lennon Li [aut, cre] |
| Maintainer: |
Lennon Li <yeli at biostats.ai> |
| BugReports: |
https://github.com/lennon-li/dataganger/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://dataganger.biostats.ai/,
https://github.com/lennon-li/dataganger |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
dataganger results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=dataganger
to link to this page.