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:

Reference manual:	dataganger.html , dataganger.pdf
Vignettes:	Privacy gating and Agent workflows (source, R code)

Downloads:

Package source:	dataganger_0.6.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): dataganger_0.6.1.tgz, r-oldrel (arm64): dataganger_0.6.1.tgz, r-release (x86_64): dataganger_0.6.1.tgz, r-oldrel (x86_64): not available

Linking:

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