Package: nuggets 1.3.0

Michal Burda

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:Michal Burda [aut, cre]

nuggets_1.3.0.tar.gz
nuggets_1.3.0.tar.gz(r-4.5-noble)nuggets_1.3.0.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'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cppopenmp

2.30 score 10 scripts 362 downloads 12 exports 39 dependencies

Last updated 12 days agofrom:10c885dc89. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-linux-x86_64OKNov 25 2024

Exports:dichotomizedigdig_contrastsdig_correlationsdig_griddig_implicationsformat_conditionis_degreeis_subsetpartitionvar_gridwhich_antichain

Dependencies:briocallrclicpp11crayondescdiffobjdigestdplyrevaluatefansifsgenericsgluejsonlitelifecyclemagrittrpillarpkgbuildpkgconfigpkgloadpraiseprocessxpspurrrR6Rcpprlangrprojrootstringistringrtestthattibbletidyrtidyselectutf8vctrswaldowithr