Fast, Robust, and High-Quality Synthetic Data Generation with a Tuneable Privacy-Utility Trade-Off

Synthesize numeric, categorical, mixed and time series data. Data circumstances including mixed (or zero-inflated) distributions and missing data patterns are reproduced in the synthetic data. A single parameter allows balancing between high-quality synthetic data that represents correlations of the original data and lower quality but more privacy safe synthetic data without correlations. Tuning can be done per variable or for the whole dataset.


Reference manual

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install.packages("synthesizer")

0.6.0 by Mark van der Loo, a year ago


https://github.com/markvanderloo/synthesizer


Browse source code at https://github.com/cran/synthesizer


Authors: Mark van der Loo [aut, cre] (ORCID:


Documentation:   PDF Manual  


EUPL license


Imports stats

Suggests tinytest, simplermarkdown


See at CRAN