Package: tidyrules Type: Package Title: Utilities to Retrieve Rulelists from Model Fits, Filter, Prune, Reorder and Predict on Unseen Data Version: 0.2.7 Authors@R: c( person("Srikanth", "Komala Sheshachala", email = "sri.teach@gmail.com", role = c("aut", "cre")), person("Amith Kumar", "Ullur Raghavendra", email = "amith54@gmail.com", role = c("aut")) ) Maintainer: Srikanth Komala Sheshachala 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), Description: 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. URL: https://github.com/talegari/tidyrules, https://talegari.github.io/tidyrules/ BugReports: https://github.com/talegari/tidyrules/issues License: GPL-3 Encoding: UTF-8 RoxygenNote: 7.3.1 Roxygen: list(markdown = TRUE) Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev libx11-dev zlib1g-dev Repository: https://talegari.r-universe.dev Date/Publication: 2025-02-04 18:26:21 UTC RemoteUrl: https://github.com/talegari/tidyrules RemoteRef: HEAD RemoteSha: 6201d86e9cf425d6b66d15aead7b9982f9e8a992 NeedsCompilation: no Packaged: 2026-10-07 10:14:42 UTC; root Author: Srikanth Komala Sheshachala [aut, cre], Amith Kumar Ullur Raghavendra [aut]