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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.
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Package details |
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| Author | Sidharth Macherla [aut, cre] (<https://orcid.org/0000-0002-4825-2026>) |
| Maintainer | Sidharth Macherla <msidharthrasik@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.7.1 |
| URL | https://www.foyi.co.nz/posts/documentation/documentationconjurer/ |
| Package repository | View on CRAN |
| Installation |
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