Package: e2tree 1.2.0

Massimo Aria

e2tree: Explainable Ensemble Trees

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.

Authors:Massimo Aria [aut, cre, cph], Agostino Gnasso [aut, cph]

e2tree_1.2.0.tar.gz
e2tree_1.2.0.tar.gz(r-4.7-arm64)e2tree_1.2.0.tar.gz(r-4.7-x86_64)e2tree_1.2.0.tar.gz(r-4.6-arm64)e2tree_1.2.0.tar.gz(r-4.6-x86_64)
e2tree_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
e2tree/json (API)
NEWS

# Install 'e2tree' in R:
install.packages('e2tree', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/massimoaria/e2tree/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • credit - Credit Scoring Dataset

On CRAN:

Conda:

cppopenmp

3.59 score 13 scripts 628 downloads 22 exports 49 dependencies

Last updated from:d42b7b3252. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK194
linux-devel-x86_64OK179
source / vignettesOK170
linux-release-arm64OK223
linux-release-x86_64OK180
wasm-releaseOK133

Exports:as.rpartcreateDisMatrixe2splitse2treeePredTreeeValidationextract_terminal_nodesget_ensemble_predictionsget_ensemble_typeloiloi_permmeasuresnodesplot_e2treeplot_e2tree_clickplot_e2tree_visprint_e2tree_summaryproximityrocrpart2Treesave_e2tree_htmlvimp

Dependencies:apeclicodetoolscpp11digestdplyrfarverfuturefuture.applygenericsggplot2globalsgluegmpgtableisobandlabelinglatticelifecyclelistenvmagrittrMatrixnlmeparallellypartitionspillarpkgconfigpolynompurrrR6rbibutilsRColorBrewerRcppRdpackrlangrpartrpart.plotS7scalessetsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Introduction to e2tree: Explainable Ensemble Trees

Massimo Aria, Agostino Gnasso

Rendered frome2tree-introduction.Rmdusingknitr::rmarkdownon Jun 14 2026.

Last update: 2026-05-15
Started: 2026-05-15

Using e2tree with XGBoost, GBM, LightGBM, and CatBoost

Rendered frommodels.Rmdusingknitr::rmarkdownon Jun 14 2026.

Last update: 2026-05-15
Started: 2026-05-15