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:Mark van der Loo

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'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

7 exports 0.09 score 1 dependencies 4 scripts 719 downloads

Last updated 3 months agofrom:3b02c9f7f0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winOKSep 12 2024
R-4.5-linuxOKSep 12 2024
R-4.4-winOKSep 12 2024
R-4.4-macOKSep 12 2024
R-4.3-winOKSep 12 2024
R-4.3-macOKSep 12 2024

Exports:dcordmeandsdmake_synthesizerpmseqasynthesize

Dependencies:randomForest

Introduction to synthesizer

Rendered fromintroduction.mdusingsimplermarkdown::mdweave_to_htmlon Sep 12 2024.

Last update: 2024-06-14
Started: 2024-06-14