Extensible framework for subgroup discovery (Atzmueller (2015) <doi:10.1002/widm.1144>), contrast patterns (Chen (2022) <doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong (1999) <doi:10.1145/312129.312191>), association rules (Agrawal (1994) <https://www.vldb.org/conf/1994/P487.PDF>) and conditional correlations (Hájek (1978) <doi:10.1007/978-3-642-66943-9>). Both crisp (Boolean, binary) and fuzzy data are supported. It generates conditions in the form of elementary conjunctions, evaluates them on a dataset and checks the induced sub-data for interesting statistical properties. A user-defined function may be defined to evaluate on each generated condition to search for custom patterns.
Version: 1.4.0 Imports: cli, lifecycle, methods, purrr, Rcpp, rlang, stats, stringr, tibble, tidyr, tidyselect LinkingTo: Rcpp, testthat Suggests: arules, dplyr, testthat (≥ 3.0.0), xml2, withr, knitr, rmarkdown Published: 2025-01-08 DOI: 10.32614/CRAN.package.nuggets Author: Michal Burda [aut, cre] Maintainer: Michal Burda <michal.burda at osu.cz> BugReports: https://github.com/beerda/nuggets/issues License: GPL (≥ 3) URL: https://beerda.github.io/nuggets/, https://github.com/beerda/nuggets NeedsCompilation: yes SystemRequirements: C++17 Language: en-US Citation: nuggets citation info Materials: README NEWS CRAN checks: nuggets results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=nuggets to link to this page.
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