Transparent and Reproducible Artificial Data Generation
Overview
The main function generateDataset() processes a user-supplied .R file that contains metadata parameters in order to generate actual data. The metadata parameters have to be structured in the form of metadata objects, the format of which is outlined in the package vignette. This approach allows to generate artificial data in a transparent and reproducible manner.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 29
- Examples that run
- 90%9 run in a plain check · 1 never run
- Exported functions with examples
- 77%
- Documented parameters
- 89%
- Return-value docs
- 85%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- unarchivedReturned to CRAN2021-01-10
- 0.9-2Latest
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- archivedRemoved from CRAN2019-04-02check problems were not corrected despite reminders
- RR 3.5.0 released · 2018-04-23
- 0.9-12017-06-07
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-06-07
- Total releases
- 2 / 9 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.0.0
- Download size
- 38 KB
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