Package: broomstick 0.1.2.9200

broomstick: Convert Decision Tree Objects into Tidy Data Frames

Convert Decision Tree objects into tidy data frames, by using the framework laid out by the package broom, this means that decision tree output can be easily reshaped, porocessed, and combined with tools like 'dplyr', 'tidyr' and 'ggplot2'. Like the package broom, broomstick provides three S3 generics: tidy, to summarise decision tree specific features - tidy returns the variable importance table; augment adds columns to the original data such as predictions and residuals; and glance, which provides a one-row summary of model-level statistics.

Authors:Nicholas Tierney [aut, cre], Matthew Lincoln [aut]

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NEWS

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

Peer review:

Bug tracker:https://github.com/njtierney/broomstick/issues

On CRAN:

broomdecision-treesgbmmachine-learningrandomforestrpartstatistical-learning

3.53 score 28 stars 24 scripts 4 exports 23 dependencies

Last updated 11 months agofrom:5215feed37. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 30 2024
R-4.5-winNOTESep 30 2024
R-4.5-linuxNOTESep 30 2024
R-4.4-winNOTESep 30 2024
R-4.4-macNOTESep 30 2024
R-4.3-winNOTESep 30 2024
R-4.3-macNOTESep 30 2024

Exports:%>%augmentglancetidy

Dependencies:backportsbroomclicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr