Package: conjurer 1.7.0

conjurer: A Parametric Method for Generating Synthetic Data

Generates synthetic data distributions to enable testing various modelling techniques in ways that real data does not allow. Noise can be added in a controlled manner such that the data seems real. This methodology is generic and therefore benefits both the academic and industrial research.

Authors:Sidharth Macherla [aut, cre]

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conjurer.pdf |conjurer.html✨
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Peer review:

Bug tracker:https://github.com/sidharthmacherla/conjurer/issues

On CRAN:

dummy-data-generatorsynthetic-datasynthetic-data-generationsynthetic-dataset-generationsynthetic-tabular-data

11 exports 9 stars 1.53 score 8 dependencies 3 scripts 316 downloads

Last updated 3 months agofrom:7aabe3eb09. Checks:OK: 3 NOTE: 4. Indexed: yes.

Exports:buildCustbuildHierarchybuildIdbuildModelDatabuildNamesbuildNumbuildParetobuildPatternbuildProdextractDfgenTrans

Dependencies:askpasscurlhttrjsonlitemimeopensslR6sys