SidharthMacherla/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.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 1.7.0 |
| URL | https://www.foyi.co.nz/posts/documentation/documentationconjurer/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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