Package: synthesizer 0.4.0.6

synthesizer: 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.

Authors:Mark van der Loo [aut, cre]

synthesizer_0.4.0.6.tar.gz
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synthesizer.pdf |synthesizer.html
synthesizer/json (API)
NEWS

# Install 'synthesizer' in R:
install.packages('synthesizer', repos = c('https://markvanderloo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/markvanderloo/synthesizer/issues

On CRAN:

Conda:

4.60 score 8 scripts 317 downloads 2 exports 1 dependencies

Last updated 22 days agofrom:ffa5257fcc. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 04 2025
R-4.5-winWARNINGMar 04 2025
R-4.5-macWARNINGMar 04 2025
R-4.5-linuxWARNINGMar 04 2025
R-4.4-winWARNINGMar 04 2025
R-4.4-macWARNINGMar 04 2025
R-4.4-linuxWARNINGMar 04 2025
R-4.3-winWARNINGMar 04 2025
R-4.3-macWARNINGMar 04 2025

Exports:make_synthesizersynthesize

Dependencies:randomForest

Introduction to synthesizer

Rendered fromintroduction.mdusingsimplermarkdown::mdweave_to_htmlon Mar 04 2025.

Last update: 2025-02-19
Started: 2024-06-12