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]

broomstick_0.1.2.9200.tar.gz
broomstick_0.1.2.9200.zip(r-4.7-any)broomstick_0.1.2.9200.zip(r-4.6-any)broomstick_0.1.2.9200.zip(r-4.5-any)
broomstick_0.1.2.9200.tgz(r-4.6-any)broomstick_0.1.2.9200.tgz(r-4.5-any)
broomstick_0.1.2.9200.tar.gz(r-4.7-any)broomstick_0.1.2.9200.tar.gz(r-4.6-any)
broomstick_0.1.2.9200.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
broomstick/json (API)

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

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

On CRAN:

Conda:

broomdecision-treesgbmmachine-learningrandomforestrpartstatistical-learning

3.68 score 29 stars 33 scripts 4 exports 22 dependencies

Last updated from:5215feed37. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE123
source / vignettesOK184
linux-releaseNOTE112
macos-releaseNOTE108
macos-oldrelNOTE85
windows-develNOTE82
windows-releaseNOTE79
windows-oldrelNOTE82
wasm-releaseOK102

Exports:%>%augmentglancetidy

Dependencies:backportsbroomclicpp11dplyrgenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr