Utilities to Retrieve Rulelists from Model Fits, Filter, Prune, Reorder and Predict on Unseen Data R package tidyrules version 0.2.7 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. Software 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), Srikanth Komala Sheshachala <sri.teach@gmail.com> Comprehensive R Archive Network (CRAN) Srikanth Komala Sheshachala [aut, cre], Amith Kumar Ullur Raghavendra [aut] GPL-3 2024-06-29 application/tgz https://CRAN.R-project.org/package=tidyrules doi:10.32614/CRAN.package.tidyrules