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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=tidyrules to link to this page.
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