niarules: Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms
Framework is devoted to mining numerical association rules through the utilization of nature-inspired algorithms for optimization. Drawing inspiration from the 'NiaARM' 'Python' and the 'NiaARM' 'Julia' packages, this repository introduces the capability to perform numerical association rule mining in the R programming language. Fister Jr., Iglesias, Galvez, Del Ser, Osaba and Fister (2018) <doi:10.1007/978-3-030-03493-1_9>.
| Version: | 0.2.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | stats, utils |
| Suggests: | testthat |
| Published: | 2025-02-20 |
| DOI: | 10.32614/CRAN.package.niarules |
| Author: | Iztok Jr. Fister 
[aut, cre, cph] |
| Maintainer: | Iztok Jr. Fister <iztok at iztok.space> |
| BugReports: | https://github.com/firefly-cpp/niarules/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/firefly-cpp/niarules |
| NeedsCompilation: | no |
| Classification/ACM: | G.4, H.2.8 |
| Materials: | README |
| CRAN checks: | niarules results |
Documentation:
| Reference manual: | niarules.pdf |
Downloads:
| Package source: | niarules_0.2.0.tar.gz |
| Windows binaries: | r-devel: niarules_0.2.0.zip, r-release: niarules_0.2.0.zip, r-oldrel: niarules_0.2.0.zip |
| macOS binaries: | r-release (arm64): niarules_0.2.0.tgz, r-oldrel (arm64): niarules_0.2.0.tgz, r-release (x86_64): niarules_0.2.0.tgz, r-oldrel (x86_64): niarules_0.2.0.tgz |
| Old sources: | niarules archive |
Linking:
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