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arulesCBA: Classification Based on Association Rules
Provides the infrastructure for association rule-based classification including the algorithms
CBA, CMAR, CPAR, C4.5, FOIL, PART, PRM, RCAR, and RIPPER to build associative classifiers.
Hahsler et al (2019) <doi:10.32614/RJ-2019-048>.
| Version: |
1.2.6 |
| Depends: |
R (≥ 4.0.0), Matrix (≥ 1.4-0), arules (≥ 1.7-4) |
| Imports: |
methods, discretization (≥ 1.0-1), glmnet (≥ 3.0-0) |
| Suggests: |
testthat, mlbench, rJava, RWeka |
| Published: |
2024-04-16 |
| Author: |
Michael Hahsler 
[aut, cre, cph],
Ian Johnson [aut, cph],
Tyler Giallanza [ctb] |
| Maintainer: |
Michael Hahsler <mhahsler at lyle.smu.edu> |
| BugReports: |
https://github.com/mhahsler/arulesCBA |
| License: |
GPL-3 |
| URL: |
https://github.com/mhahsler/arulesCBA |
| NeedsCompilation: |
yes |
| SystemRequirements: |
Java (>= 8) |
| Citation: |
arulesCBA citation info |
| Materials: |
README NEWS |
| In views: |
ModelDeployment |
| CRAN checks: |
arulesCBA results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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https://CRAN.R-project.org/package=arulesCBA
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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