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DESCRIPTION
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Package: parttree
Title: Visualize Simple 2-D Decision Tree Partitions
Version: 0.1.0
Date: 2025-10-14
Authors@R: c(
person(given = "Grant",
family = "McDermott",
role = c("aut", "cre"),
email = "gmcd@amazon.com",
comment = c(ORCID = "0000-0001-7883-8573")),
person(given = "Achim",
family = "Zeileis",
role = "ctb",
email = "Achim.Zeileis@R-project.org",
comment = c(ORCID = "0000-0003-0918-3766")),
person(given = "Brian Heseung",
family = "Kim",
role = "ctb",
email = "brhkim@gmail.com",
comment = c(ORCID = "0000-0002-7988-1802")),
person(given = "Julia",
family = "Silge",
role = "ctb",
email = "julia.silge@gmail.com",
comment = c(ORCID = "0000-0002-3671-836X")))
Description: Visualize the partitions of simple decision trees, involving one or
two predictors, on the scale of the original data. Provides an intuitive
alternative to traditional tree diagrams, by visualizing how a decision tree
divides the predictor space in a simple 2D plot alongside the original data.
The 'parttree' package supports both classification and regression trees
from 'rpart' and 'partykit', as well as trees produced by popular frontend
systems like 'tidymodels' and 'mlr3'. Visualization methods are provided for
both base R graphics and 'ggplot2'.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
LazyData: true
URL: https://grantmcdermott.com/parttree/
BugReports: https://github.com/grantmcdermott/parttree/issues
Imports:
graphics,
stats,
data.table,
partykit,
rlang,
rpart,
tinyplot (>= 0.2.0)
Enhances:
ggplot2 (>= 3.4.0)
Suggests:
tinytest,
tinysnapshot (>= 0.0.3),
fontquiver,
rsvg,
svglite,
palmerpenguins,
titanic,
mlr3,
parsnip,
workflows,
magick,
imager,
knitr,
rmarkdown
VignetteBuilder: knitr