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
conjurer_1.7.0.zip(r-4.7)conjurer_1.7.0.zip(r-4.6)conjurer_1.7.0.zip(r-4.5)
conjurer_1.7.0.tgz(r-4.6-any)conjurer_1.7.0.tgz(r-4.5-any)
conjurer_1.7.0.tar.gz(r-4.7-any)conjurer_1.7.0.tar.gz(r-4.6-any)
conjurer_1.7.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

Conda:

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

4.95 score 9 stars 4 scripts 259 downloads 11 exports 8 dependencies

Last updated from:7aabe3eb09. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE101
source / vignettesOK230
linux-release-x86_64NOTE118
macos-release-arm64NOTE273
macos-oldrel-arm64NOTE214
windows-develNOTE85
windows-releaseNOTE80
windows-oldrelNOTE85
wasm-releaseOK103

Exports:buildCustbuildHierarchybuildIdbuildModelDatabuildNamesbuildNumbuildParetobuildPatternbuildProdextractDfgenTrans

Dependencies:askpasscurlhttrjsonlitemimeopensslR6sys

Introduction to conjurer

Sidharth Macherla

Rendered fromintroduction_to_conjurer.Rmdusingknitr::rmarkdownon May 21 2026.

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

Industry Example

Rendered fromindustry_example.Rmdusingknitr::rmarkdownon May 21 2026.

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