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e2tree
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", "0.2.0") Attach the package and use:
library("e2tree")
Maintained by
Massimo Aria
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[Scholar Profile | Author Map]
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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 0.2.0, https://cran.r-project.org/web/packages/e2tree. Accessed 26 Aug. 2026.
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