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]

conjurer_1.7.0.tar.gz
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conjurer_1.7.0.tar.gz(r-4.5-noble)conjurer_1.7.0.tar.gz(r-4.4-noble)
conjurer_1.7.0.tgz(r-4.4-emscripten)conjurer_1.7.0.tgz(r-4.3-emscripten)
conjurer.pdf |conjurer.html
conjurer/json (API)
NEWS

# Install 'conjurer' in R:
install.packages('conjurer', repos = c('https://sidharthmacherla.r-universe.dev', 'https://cloud.r-project.org'))

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

On CRAN:

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

4.95 score 9 stars 3 scripts 384 downloads 11 exports 8 dependencies

Last updated 8 months agofrom:7aabe3eb09. Checks:3 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 18 2025
R-4.5-winNOTEFeb 18 2025
R-4.5-macNOTEFeb 18 2025
R-4.5-linuxNOTEFeb 18 2025
R-4.4-winNOTEFeb 18 2025
R-4.4-macNOTEFeb 18 2025
R-4.3-winOKFeb 18 2025
R-4.3-macOKFeb 18 2025

Exports:buildCustbuildHierarchybuildIdbuildModelDatabuildNamesbuildNumbuildParetobuildPatternbuildProdextractDfgenTrans

Dependencies:askpasscurlhttrjsonlitemimeopensslR6sys

Introduction to conjurer

Rendered fromintroduction_to_conjurer.Rmdusingknitr::rmarkdownon Feb 18 2025.

Last update: 2023-04-22
Started: 2020-01-07

Industry Example

Rendered fromindustry_example.Rmdusingknitr::rmarkdownon Feb 18 2025.

Last update: 2023-04-22
Started: 2023-04-22