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 |