R Observatory: Metrics for randomForestExplainer version 0.10.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

randomForestExplainer

0.10.1

Explaining and Visualizing Random Forests in Terms of Variable Importance

1packages depend

17.1Kdownloads / year

84.3%test coverage

13/13checks pass

Overview

About

Maintained by Yue JiangFirst published 2017-07-153 releasesCRAN page ↗GitHub ↗

A set of tools to help explain which variables are most important in a random forests. Various variable importance measures are calculated and visualized in different settings in order to get an idea on how their importance changes depending on our criteria (Hemant Ishwaran and Udaya B. Kogalur and Eiran Z. Gorodeski and Andy J. Minn and Michael S. Lauer (2010) doi:10.1198/jasa.2009.tm08622, Leo Breiman (2001) doi:10.1023/A:1010933404324).

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("randomForestExplainer", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("ModelOriented/randomForestExplainer")

Development version from ModelOriented/randomForestExplainer. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-randomforestexplainer

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-randomForestExplainer

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-randomForestExplainer

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 5.9 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.34

84.3%

Coverage · measured lines

100%

Documentation · exports

10

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
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 1 earlier snapshots

NOTE2026-03-10
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 62 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 91%
Documented parameters: 91%
Return-value docs: 100%
References docs: 0%

Downloads

17.1K

CRAN downloads in the past year

Rank #4,232 · ~47/day · ~1.4K/mo

Releases R versions

Daily download trend is not available in this view yet.

49630 days

1.9K90 days

17.1K1 year

Compare downloads with other packages →

Also on106 r2u17 autocran

Repository

GitHub ↗ modeloriented/randomforestexplainer

242Stars

37Forks

4Open issues

2Open PRs

3Releases

89Commits

9Contributors

random-forestcran

89 commits · Last activity 2024-03-25 · 0% stars, 30d

Stars over time

2025-06-08 · 2362026-07-07 · 242

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/modeloriented/randomforestexplainer on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.0

Imports (10)

data.table dplyr DT GGally ggplot2 ggrepel randomForest ranger reshape2 (>= 1.4.2)rmarkdown

LinkingTo (0)

none

Suggests (3)

knitrMASStestthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

sits

Code & Tests

People & History

People (3)

Maintainer (1)

Yue Jiang

Author, Maintainer · added in 0.10.0

Authors (3)

Yue Jiang

Author, Maintainer · added in 0.10.0

Przemyslaw Biecek

Author, Thesis advisor

Aleksandra Paluszynska

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.10.1Latest
2020-07-11 · current release · diff ↗
R
R 4.0.0 released · 2020-04-24
0.10.0
2019-09-18 · diff ↗
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.9
2017-07-15
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-07-15
Total releases: 3 / 9 yrs
License: GPL
Minimum R: ≥ 3.0
Download size: 611 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("randomForestExplainer")

Format

Jiang, Y., Biecek, P., & Paluszynska, A. (2020). randomForestExplainer: Explaining and Visualizing Random Forests in Terms of Variable Importance (Version 0.10.1) [Computer software]. https://doi.org/10.32614/CRAN.package.randomForestExplainer

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for randomForestExplainer version 0.10.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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