Package: nuggets
Title: Extensible Data Pattern Searching Framework
Version: 1.4.0
Date: 2025-01-08
Authors@R: 
    person(given = "Michal",
           family = "Burda",
           role = c("aut", "cre"),
           email = "michal.burda@osu.cz",
           comment = c(ORCID = "0000-0002-4182-4407"))
Maintainer: Michal Burda <michal.burda@osu.cz>
Description: 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.
URL: https://beerda.github.io/nuggets/,
        https://github.com/beerda/nuggets
BugReports: https://github.com/beerda/nuggets/issues
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.2
Language: en-US
Imports: cli, lifecycle, methods, purrr, Rcpp, rlang, stats, stringr,
        tibble, tidyr, tidyselect
LinkingTo: Rcpp, testthat
SystemRequirements: C++17
Suggests: arules, dplyr, testthat (>= 3.0.0), xml2, withr, knitr,
        rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-08 09:38:26 UTC; michal
Author: Michal Burda [aut, cre] (<https://orcid.org/0000-0002-4182-4407>)
Repository: CRAN
Date/Publication: 2025-01-08 10:20:01 UTC
Built: R 4.3.3; x86_64-w64-mingw32; 2025-04-07 02:46:56 UTC; windows
Archs: x64
