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)broomstick_0.1.2.9200.zip(r-4.6)broomstick_0.1.2.9200.zip(r-4.5)
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

3.72 score 29 stars 36 scripts 4 exports 22 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE127
source / vignettesOK161
linux-release-x86_64NOTE129
macos-release-arm64NOTE88
macos-oldrel-arm64NOTE77
windows-develNOTE65
windows-releaseNOTE66
windows-oldrelNOTE63
wasm-releaseOK107

Exports:%>%augmentglancetidy

Dependencies:backportsbroomclicpp11dplyrgenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr