R Observatory: Metrics for randomForestExplainer version 0.10.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

randomForestExplainer

0.10.1Package record

Explaining and Visualizing Random Forests in Terms of Variable Importance

0packages dependsuggested by 1

12.9Kdownloads / year

84.3%test coverage

13/13flavors OK

Overview

About

Maintained by Yue JiangCRAN 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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

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

Status changes

OK13 OK2026-09-09
ERROR12 OK, 1 ERROR2026-09-04
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 3 earlier changesHide 3 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK12 OK2026-04-25
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.10.1

READMEYes · 62 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · does not mention 0.10.1Citation fileNo

Help pages: 11
Examples that run: 91%10 run in a plain check · 1 never run
Exported functions with examples: 100%
Documented parameters: 91%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Understanding random forests with randomForestExplainer

How these are measured

Downloads

12.9K

CRAN downloads in the past year

Rank #3,966 · ~35/day · ~1.1K/mo

Releases R versions

Daily download trend is not available in this view yet.

1.1K30 days

2.3K90 days

12.9K1 year

Compare downloads with other packages →

Also on103 r2u10 autocran

How downloads are counted

Repository

modeloriented/randomforestexplainer ↗Organization: ModelOriented

242Stars

37Forks

4Open issues

2Open PRs

3Releases

89Commits

9Commit identities

random-forestcran

89 commits · Last activity 2024-03-22 · 0% stars, 30d · Default branch at 0.11.0, ahead of CRAN 0.10.1 (checked 2026-10-11)

Responsiveness

How these are sampled

PRs merged (all time): 90%
Median days to close, 50 most recently updated closed issues: 24
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-10-13 · 2372026-07-07 · 242

How these are measured

PracticesBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/modeloriented/randomforestexplainer on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (2)

pkgdown

GitHub Pages site last deployed 2024-03-22

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing randomForestExplainer adds 73 packages (37 with compiled code, 66 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

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

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

sits

How these are counted

Code & Tests

People & History

People (3)

Yue Jiang

Author, Maintainer since 0.10.0 (2019) · added in 0.10.0

Przemyslaw Biecek

Author, Thesis advisor

Aleksandra Paluszynska

Author

Previously maintained by Aleksandra Paluszynska (0.9).

Releases (3)

Pick two releases to compare their code metrics.

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
record
2020-07-11 · current release · diff ↗
R
R 4.0.0 released · 2020-04-24
0.10.0
record
2019-09-18 · diff ↗
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.9
record
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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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