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visTree  

Visualization of Subgroups for Decision Trees
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("visTree", "0.8.1")



Attach the package and use:
library("visTree")
Maintained by
Ashwini Venkatasubramaniam
[Scholar Profile | Author Map]
First Published: 2018-11-04
Latest Update: 2018-11-04
Description:
Provides a visualization for characterizing subgroups defined by a decision tree structure. The visualization simplifies the ability to interpret individual pathways to subgroups; each sub-plot describes the distribution of observations within individual terminal nodes and percentile ranges for the associated inner nodes.
How to cite:
Ashwini Venkatasubramaniam (2018). visTree: Visualization of Subgroups for Decision Trees. R package version 0.8.1, https://cran.r-project.org/web/packages/visTree. Accessed 13 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited visTree R package
View visTree citation profile
Other R packages that visTree depends, imports, suggests or enhances
Complete documentation for visTree
Functions, R codes and Examples using the visTree R package
Some associated functions: blsdata . l_node . makeTransparent . minmax_mat . path_node . plot_minmax . ptree_criteria . ptree_left . ptree_right . ptree_y . trim . visTree . 
Some associated R codes: blsdata.R . l_node.R . makeTransparent.R . minmax_mat.R . path_node.R . plot_minmax.R . ptree_criteria.R . ptree_left.R . ptree_right.R . ptree_y.R . trim.R . visTree.R .  Full visTree package functions and examples
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