Provides a framework to work with decision rules. Rules can be extracted from supported models, augmented with (custom) metrics using validation data, manipulated using standard dataframe operations, reordered and pruned based on a metric, predict on unseen (test) data. Utilities include; Creating a rulelist manually, Exporting a rulelist as a SQL case statement and so on. The package offers two classes; rulelist and ruleset based on dataframe.
| Version: |
0.2.7 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
stringr (≥ 1.3.1), magrittr (≥ 1.5), purrr (≥ 0.3.2), partykit (≥ 1.2.2), rlang (≥ 1.1.3), generics (≥ 0.1.3), checkmate (≥ 2.3.1), tidytable (≥ 0.11.0), data.table (≥
1.14.6), DescTools (≥ 0.99.54), MetricsWeighted (≥ 1.0.3), cli (≥ 3.6.2), glue (≥ 1.7.0), pheatmap (≥ 1.0.12), proxy (≥ 0.4.27), tibble (≥ 3.2.1) |
| Suggests: |
AmesHousing (≥ 0.0.3), dplyr (≥ 0.8), C50 (≥ 0.1.2), Cubist (≥ 0.2.2), rpart (≥ 1.2.2), rpart.plot (≥ 3.0.7), modeldata (≥ 0.0.1), testthat (≥ 2.0.1), MASS (≥ 7.3.50), mlbench (≥ 2.1.1), rmarkdown (≥ 1.13), palmerpenguins (≥
0.1.1) |
| Published: |
2024-06-29 |
| DOI: |
10.32614/CRAN.package.tidyrules |
| Author: |
Srikanth Komala Sheshachala [aut, cre],
Amith Kumar Ullur Raghavendra [aut] |
| Maintainer: |
Srikanth Komala Sheshachala <sri.teach at gmail.com> |
| BugReports: |
https://github.com/talegari/tidyrules/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/talegari/tidyrules,
https://talegari.github.io/tidyrules/ |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
tidyrules results |