Package: synthesizer 0.4.0
synthesizer: Synthesize Data Based on Empirical Quantile Functions and Rank Order Matching
Data is synthesized using a combination of inverse transform sampling using the empirical quantile functions for each variable, and then copying the rank order structure from the original dataset. The syntesizer method has a tunable parameter allowing to gradually move from realistic and possibly unsafe synthetic data to decorrelated data of less utility.
Authors:
synthesizer_0.4.0.tar.gz
synthesizer_0.4.0.tar.gz(r-4.5-noble)synthesizer_0.4.0.tar.gz(r-4.4-noble)
synthesizer_0.4.0.tgz(r-4.4-emscripten)synthesizer_0.4.0.tgz(r-4.3-emscripten)
synthesizer.pdf |synthesizer.html✨
synthesizer/json (API)
NEWS
# Install 'synthesizer' in R: |
install.packages('synthesizer', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/markvanderloo/synthesizer/issues
Last updated 1 months agofrom:e467eafd0c. Checks:3 OK. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 09 2025 |
R-4.5-linux | OK | Mar 09 2025 |
R-4.4-linux | OK | Mar 09 2025 |
Exports:make_synthesizerpmsesynthesize
Dependencies:randomForest
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Create a function that generates synthetic data | make_synthesizer make_synthesizer.character make_synthesizer.data.frame make_synthesizer.factor make_synthesizer.integer make_synthesizer.logical make_synthesizer.numeric make_synthesizer.ts |
Compute the pMSE metric between synthetic and real data | pmse |
Create synthetic version of a dataset | synthesize |