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e2tree

Explainable Ensemble Trees

v1.2.0 · May 15, 2026 · MIT + file LICENSE

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.

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 22, 2026
ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 18, 2026
ERROR r-devel-windows-x86_64

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Installation failed.
See 'd:/Rcompile/CRANpkg/local/4.6/e2tree.Rcheck/00install.out' for details.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies ape dplyr future.apply ggplot2 Matrix partitions purrr rpart.plot tidyr Rcpp e2tree

Version History

5 tracked
updated 1.2.0 ← 1.0.0 diff May 15, 2026
updated 1.0.0 ← 0.2.0 diff Mar 13, 2026
new 0.2.0 Mar 10, 2026
updated 0.2.0 ← 0.1.2 diff Jul 15, 2025
new 0.1.2 Apr 11, 2025