Package: nuggets 1.0.2
nuggets: Extensible Data Pattern Searching Framework
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>) and association rules (Agrawal (1994) <https://www.vldb.org/conf/1994/P487.PDF>). Both crisp (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. Currently, the package searches for implicative association rules and conditional correlations (Hájek (1978) <doi:10.1007/978-3-642-66943-9>). A user-defined function may be defined to evaluate on each generated condition to search for custom patterns.
Authors:
nuggets_1.0.2.tar.gz
nuggets_1.0.2.zip(r-4.5)nuggets_1.0.2.zip(r-4.4)nuggets_1.0.2.zip(r-4.3)
nuggets_1.0.2.tgz(r-4.4-x86_64)nuggets_1.0.2.tgz(r-4.4-arm64)nuggets_1.0.2.tgz(r-4.3-x86_64)nuggets_1.0.2.tgz(r-4.3-arm64)
nuggets_1.0.2.tar.gz(r-4.5-noble)nuggets_1.0.2.tar.gz(r-4.4-noble)
nuggets.pdf |nuggets.html✨
nuggets/json (API)
NEWS
| # Install 'nuggets' in R: |
| install.packages('nuggets', repos = c('https://beerda.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/beerda/nuggets/issues
Last updated 6 days agofrom:6bee040b60. Checks:OK: 8 ERROR: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 11 2024 |
| R-4.5-win-x86_64 | OK | Sep 11 2024 |
| R-4.5-linux-x86_64 | OK | Sep 11 2024 |
| R-4.4-win-x86_64 | OK | Sep 11 2024 |
| R-4.4-mac-x86_64 | OK | Sep 11 2024 |
| R-4.4-mac-aarch64 | OK | Sep 11 2024 |
| R-4.3-win-x86_64 | ERROR | Sep 11 2024 |
| R-4.3-mac-x86_64 | OK | Sep 11 2024 |
| R-4.3-mac-aarch64 | OK | Sep 11 2024 |
Exports:dichotomizedigdig_correlationsdig_implicationsformat_conditionis_subsetwhich_antichain
Dependencies:briocallrclicpp11crayondescdiffobjdigestdplyrevaluatefansifsgenericsgluejsonlitelifecyclemagrittrpillarpkgbuildpkgconfigpkgloadpraiseprocessxpspurrrR6Rcpprematch2rlangrprojrootstringistringrtestthattibbletidyrtidyselectutf8vctrswaldowithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create dummy columns from logicals or factors in a data frame | dichotomize |
| Search for rules | dig dig.data.frame dig.default dig.matrix |
| Search for conditional correlations | dig_correlations |
| Search for implicative rules | dig_implications |
| Format condition - convert a character vector to character scalar | format_condition |
| Determine whether the first vector is a subset of the second vector | is_subset |
| Return indices of first elements of the list, which are incomparable with preceding elements. | which_antichain |
