Package: synthesizer 0.2.0
synthesizer: Synthesize Data Based on Emperical Multivariate Distributions and Rank Order Matching
Data is synthesized using a combination of inverse transform sampling from the emperical quantile functions for each variable, and then copying the rank order structure from the original dataset. The package also includes a number of functions to measure the utility of synthesized datasets.
Authors:
synthesizer_0.2.0.tar.gz
synthesizer_0.2.0.zip(r-4.5)synthesizer_0.2.0.zip(r-4.4)synthesizer_0.2.0.zip(r-4.3)
synthesizer_0.2.0.tgz(r-4.4-any)synthesizer_0.2.0.tgz(r-4.3-any)
synthesizer_0.2.0.tar.gz(r-4.5-noble)synthesizer_0.2.0.tar.gz(r-4.4-noble)
synthesizer_0.2.0.tgz(r-4.4-emscripten)synthesizer_0.2.0.tgz(r-4.3-emscripten)
synthesizer.pdf |synthesizer.html✨
synthesizer/json (API)
# Install 'synthesizer' in R: |
install.packages('synthesizer', repos = c('https://markvanderloo.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:3b02c9f7f0. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 12 2024 |
R-4.5-win | OK | Sep 12 2024 |
R-4.5-linux | OK | Sep 12 2024 |
R-4.4-win | OK | Sep 12 2024 |
R-4.4-mac | OK | Sep 12 2024 |
R-4.3-win | OK | Sep 12 2024 |
R-4.3-mac | OK | Sep 12 2024 |
Exports:dcordmeandsdmake_synthesizerpmseqasynthesize
Dependencies:randomForest
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Difference between correlation | dcor |
Summarization of location and spread between synthetic and real data | dmean dsd |
Create a function that generates synthetic data | make_synthesizer make_synthesizer.character make_synthesizer.data.frame make_synthesizer.factor make_synthesizer.integer make_synthesizer.numeric |
Compute the pMSE metric between synthetic and real data | pmse |
Quality assurance for synthesized data | qa |
Create synthetic version of a dataset | synthesize |