Provides functions allowing the user to recursively extract frequent patterns and confident rules according to indicators of minimal support and minimal confidence. These functions are described in "Recursive Association Rule Mining" Abdelkader Mokkadem, Mariane Pelletier, Louis Raimbault (2020) <arXiv:2011.14195>.
| Version: | 1.0 |
| Imports: | Rcpp (≥ 1.0.5) |
| LinkingTo: | Rcpp |
| Published: | 2020-12-04 |
| Author: | Louis Raimbault [aut,cre], A.Mokkadem [aut], M.Pelletier [aut] |
| Maintainer: | Louis Raimbault <Louis.Raimbault at icloud.com> |
| BugReports: | https://github.com/LouisRaimbault/RecAssoRules-R |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/LouisRaimbault/RecAssoRules-R |
| NeedsCompilation: | yes |
| CRAN checks: | RecAssoRules results |
| Reference manual: | RecAssoRules.pdf |
| Package source: | RecAssoRules_1.0.tar.gz |
| Windows binaries: | r-devel: RecAssoRules_1.0.zip, r-release: RecAssoRules_1.0.zip, r-oldrel: RecAssoRules_1.0.zip |
| macOS binaries: | r-release (arm64): RecAssoRules_1.0.tgz, r-oldrel (arm64): RecAssoRules_1.0.tgz, r-release (x86_64): RecAssoRules_1.0.tgz, r-oldrel (x86_64): RecAssoRules_1.0.tgz |
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