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e2tree

1.2.0

Explainable Ensemble Trees

0packages depend
3.7Kdownloads / year
23.0%test coverage
13/13checks pass

Overview

About
Maintained by Massimo AriaFirst published 2025-04-124 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 5.5 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.33
23.0%
Coverage · measured lines
100%
Documentation · exports
11
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 953 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
96%
Return-value docs
91%
References docs
0%

Downloads

3.7K
CRAN downloads in the past year
Rank #7,069 · ~10/day · ~309/mo
Daily download trend is not available in this view yet.
24430 days
1.2K90 days
3.7K1 year
Compare downloads with other packages →
Also on424 r2u31 autocran

Repository

Repository
8Stars
3Forks
0Open issues
0Open PRs
3Releases
158Commits
6Contributors
explainable-machine-learning
158 commits · Last activity 2026-05-16 · 0% stars, 30d

Stars over time

2025-06-07 · 62026-07-07 · 8

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/massimoaria/e2tree on 2026-08-16.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
25 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (2)
Author, Maintainer, Copyright holder
Author, Copyright holder
Copyright holders (2)
Author, Maintainer, Copyright holder
Author, Copyright holder
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.2.0Latest
    2026-05-15 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0
    2026-03-13 · diff ↗
  • 0.2.0
    2025-07-16 · diff ↗
  • 0.1.2
    2025-04-12
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-04-12
Total releases
4 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5
Bundled data
2.1 KB / 1 file
Download size
3.4 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("e2tree")
Aria, M., & Gnasso, A. (2026). e2tree: Explainable Ensemble Trees (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.e2tree

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for e2tree version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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