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In synthesizer: Synthesize Data Based on Empirical Quantile Functions and Rank Order Matching
synthesizer-package R Documentation
synthesizer: Synthesize Data Based on Empirical Quantile Functions and Rank Order Matching
Description
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.
Author(s)
Maintainer: Mark van der Loo mark.vanderloo@gmail.com (ORCID)
See Also
Useful links:
synthesizer documentation built on April 12, 2025, 2:27 a.m.
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| synthesizer-package | R Documentation |
synthesizer: Synthesize Data Based on Empirical Quantile Functions and Rank Order Matching
Description
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.
Author(s)
Maintainer: Mark van der Loo mark.vanderloo@gmail.com (ORCID)
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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