A framework for systematic exploration of association rules (Agrawal et al., 1994, <https://www.vldb.org/conf/1994/P487.PDF>), contrast patterns (Chen, 2022, <doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong et al., 1999, <doi:10.1145/312129.312191>), subgroup discovery (Atzmueller, 2015, <doi:10.1002/widm.1144>), and conditional correlations (Hájek, 1978, <doi:10.1007/978-3-642-66943-9>). User-defined functions may also be supplied to guide custom pattern searches. Supports both crisp (Boolean) and fuzzy data. Generates candidate conditions expressed as elementary conjunctions, evaluates them on a dataset, and inspects the induced sub-data for statistical, logical, or structural properties such as associations, correlations, or contrasts. Includes methods for visualization of logical structures and supports interactive exploration through integrated Shiny applications.
Package details |
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| Author | Michal Burda [aut, cre] (ORCID: <https://orcid.org/0000-0002-4182-4407>) |
| Maintainer | Michal Burda <michal.burda@osu.cz> |
| License | GPL (>= 3) |
| Version | 2.1.0 |
| URL | https://beerda.github.io/nuggets/ https://github.com/beerda/nuggets/ |
| Package repository | View on CRAN |
| Installation |
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