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parttree  

Visualize Simple 2-D Decision Tree Partitions
View on CRAN: Click here


Download and install parttree package within the R console
Install from CRAN:
install.packages("parttree")

Install from Github:
library("remotes")
install_github("cran/parttree")

Install by package version:
library("remotes")
install_version("parttree", "0.1.0")



Attach the package and use:
library("parttree")
Maintained by
Grant McDermott
[Scholar Profile | Author Map]
First Published: 2025-01-16
Latest Update: 2025-01-16
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'.
How to cite:
Grant McDermott (2025). parttree: Visualize Simple 2-D Decision Tree Partitions. R package version 0.1.0, https://cran.r-project.org/web/packages/parttree. Accessed 05 May. 2025.
Previous versions and publish date:
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Complete documentation for parttree
Functions, R codes and Examples using the parttree R package
Full parttree package functions and examples
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