Package: nuggets 1.2.0
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>) 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_1.2.0.tar.gz
nuggets_1.2.0.tar.gz(r-4.5-noble)nuggets_1.2.0.tar.gz(r-4.4-noble)
nuggets.pdf |nuggets.html✨
nuggets/json (API)
NEWS
# Install 'nuggets' in R: |
install.packages('nuggets', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 15 days agofrom:c8886392ee. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 12 2024 |
R-4.5-linux-x86_64 | OK | Oct 12 2024 |
Exports:dichotomizedigdig_correlationsdig_griddig_implicationsformat_conditionis_subsetvar_gridwhich_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 grid-based rules | dig_grid |
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 |
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 |