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tidyrules

Utilities to Retrieve Rulelists from Model Fits, Filter, Prune, Reorder and Predict on Unseen Data

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.

Versions across snapshots

VersionRepositoryFileSize
0.2.7 rolling linux/jammy R-4.5 tidyrules_0.2.7.tar.gz 618.5 KiB
0.2.7 rolling linux/noble R-4.5 tidyrules_0.2.7.tar.gz 618.1 KiB
0.2.7 rolling source/ R- tidyrules_0.2.7.tar.gz 453.5 KiB
0.2.7 latest linux/jammy R-4.5 tidyrules_0.2.7.tar.gz 618.5 KiB
0.2.7 latest linux/noble R-4.5 tidyrules_0.2.7.tar.gz 618.1 KiB
0.2.7 latest source/ R- tidyrules_0.2.7.tar.gz 453.5 KiB
0.2.7 2026-04-26 source/ R- tidyrules_0.2.7.tar.gz 453.5 KiB
0.2.7 2026-04-23 source/ R- tidyrules_0.2.7.tar.gz 453.5 KiB
0.2.7 2026-04-09 windows/windows R-4.5 tidyrules_0.2.7.zip 618.8 KiB
0.2.7 2025-04-20 source/ R- tidyrules_0.2.7.tar.gz 453.5 KiB

Dependencies (latest)

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