Package: nuggets 1.3.0
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>), 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.
Authors:
nuggets_1.3.0.tar.gz
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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
association-rule-miningcontrast-pattern-miningdata-miningfuzzyknowledge-discoverypattern-recognition
Last updated 2 hours agofrom:d688a75e42. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-win-x86_64 | OK | Nov 23 2024 |
| R-4.5-linux-x86_64 | OK | Nov 23 2024 |
| R-4.4-win-x86_64 | OK | Nov 23 2024 |
| R-4.4-mac-x86_64 | OK | Nov 23 2024 |
| R-4.4-mac-aarch64 | OK | Nov 23 2024 |
| R-4.3-win-x86_64 | OK | Nov 23 2024 |
| R-4.3-mac-x86_64 | OK | Nov 23 2024 |
| R-4.3-mac-aarch64 | OK | Nov 23 2024 |
Exports:dichotomizedigdig_contrastsdig_correlationsdig_griddig_implicationsdig_paired_contrastsformat_conditionis_degreeis_subsetpartitionvar_gridwhich_antichain
Dependencies:briocallrclicpp11crayondescdiffobjdigestdplyrevaluatefansifsgenericsgluejsonlitelifecyclemagrittrpillarpkgbuildpkgconfigpkgloadpraiseprocessxpspurrrR6Rcpprlangrprojrootstringistringrtestthattibbletidyrtidyselectutf8vctrswaldowithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Search for patterns of custom type | dig |
| Search for conditional correlations | dig_correlations |
| Search for grid-based rules | dig_grid |
| Search for implicative rules | dig_implications |
| Search for paired contrast patterns | dig_paired_contrasts |
| Format a vector of predicates into a string with a condition | format_condition |
| Tests whether the given argument is a numeric value from the interval [0,1] | is_degree |
| Determine whether the first vector is a subset of the second vector | is_subset |
| Convert columns of data frame to Boolean or fuzzy sets | partition |
| Create a tibble of combinations of xvar/yvar variable pairs. | var_grid |
| Return indices of first elements of the list, which are incomparable with preceding elements. | which_antichain |
