Package: tidyrules 0.2.7

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.

Authors:Srikanth Komala Sheshachala [aut, cre], Amith Kumar Ullur Raghavendra [aut]

tidyrules_0.2.7.tar.gz
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tidyrules.pdf |tidyrules.html
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NEWS

# Install 'tidyrules' in R:
install.packages('tidyrules', repos = c('https://talegari.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/talegari/tidyrules/issues

On CRAN:

4.67 score 11 stars 17 scripts 358 downloads 11 exports 69 dependencies

Last updated 4 months agofrom:c6050c2135. Checks:OK: 6 ERROR: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winERROROct 27 2024
R-4.5-linuxOKOct 27 2024
R-4.4-winOKOct 27 2024
R-4.4-macOKOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:as_rulelistas_rulesetaugmentcalculateconvert_rule_flavorprunereorderset_keysset_validation_datatidyto_sql_case

Dependencies:askpassbackportsbootcellrangercheckmateclassclicolorspacecpp11crayoncurldata.tableDescToolse1071ExactexpmfansifarverFormulagenericsgldgluegtablehmshttrinumjsonlitelabelinglatticelibcoinlifecyclelmommagrittrMASSMatrixMetricsWeightedmimemunsellmvtnormopensslpartykitpheatmappillarpkgconfigprettyunitsprogressproxypurrrR6RColorBrewerRcppreadxlrematchrlangrootSolverpartrstudioapiscalesstringistringrsurvivalsystibbletidyselecttidytableutf8vctrsviridisLitewithr