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'.
Version: 0.1.1 Depends: R (≥ 4.1.0) Imports: graphics, stats, data.table, partykit, rlang, rpart, tinyplot (≥ 0.3.0) Suggests: tinytest, tinysnapshot (≥ 0.0.3), fontquiver, rsvg, svglite (≥ 2.2.0), palmerpenguins, titanic, mlr3, parsnip, workflows, magick, imager, knitr, rmarkdown Enhances: ggplot2 (≥ 3.4.0) Published: 2025-05-10 DOI: 10.32614/CRAN.package.parttree Author: Grant McDermott [aut, cre], Achim Zeileis [ctb], Brian Heseung Kim [ctb], Julia Silge [ctb] Maintainer: Grant McDermott <gmcd at amazon.com> BugReports: https://github.com/grantmcdermott/parttree/issues License: MIT + file LICENSE URL: https://grantmcdermott.com/parttree/ NeedsCompilation: no Materials: README NEWS CRAN checks: parttree results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=parttree to link to this page.
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