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e2tree  

Explainable Ensemble Trees
View on CRAN: Click here


Download and install e2tree package within the R console
Install from CRAN:
install.packages("e2tree")

Install from Github:
library("remotes")
install_github("cran/e2tree")

Install by package version:
library("remotes")
install_version("e2tree", "1.2.0")



Attach the package and use:
library("e2tree")
Maintained by
Massimo Aria
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-12
Latest Update: 2025-07-16
Description:
The Explainable Ensemble Trees 'e2tree' approach has been proposed by Aria et al. (2024) <doi:10.1007/s00180-022-01312-6>. It aims to explain and interpret decision tree ensemble models using a single tree-like structure. 'e2tree' is a new way of explaining an ensemble tree trained through 'randomForest' or 'xgboost' packages.
How to cite:
Massimo Aria (2025). e2tree: Explainable Ensemble Trees. R package version 1.2.0, https://cran.r-project.org/web/packages/e2tree. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:34), 0.1.2 (2025-04-12 10:20), 0.2.0 (2025-07-16 14:00), 1.0.0 (2026-03-13 18:50)
Other packages that cited e2tree R package
View e2tree citation profile
Other R packages that e2tree depends, imports, suggests or enhances
Complete documentation for e2tree
Functions, R codes and Examples using the e2tree R package
Full e2tree package functions and examples
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