R Observatory: Metrics for treeshap version 0.4.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

treeshap

0.4.0

Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm

2packages depend

4.7Kdownloads / year

71.6%test coverage

13/13checks pass

Overview

About

Maintained by Michael MayerFirst published 2026-04-244 releasesCRAN page ↗GitHub ↗

An efficient implementation of the 'TreeSHAP' algorithm introduced by Lundberg et al., (2020) doi:10.1038/s42256-019-0138-9. It is capable of calculating SHAP (SHapley Additive exPlanations) values for tree-based models in polynomial time. Currently supported models include 'gbm', 'randomForest', 'ranger', 'xgboost', 'lightgbm'.

Install

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

install.packages("treeshap", 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/treeshap")

Development version from ModelOriented/treeshap. 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-treeshap

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-treeshap

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-treeshap

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

Health

CRAN checks

13OK

Slowest check: 6.5 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.80

71.6%

Coverage · measured lines

100%

Documentation · exports

3

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 27%
Documented parameters: 99%
Return-value docs: 100%
References docs: 0%

Downloads

4.7K

CRAN downloads in the past year

Rank #3,288 · ~13/day · ~388/mo

Releases R versions

Daily download trend is not available in this view yet.

93830 days

3.3K90 days

4.7K1 year

Compare downloads with other packages →

Also on393 r2u18 autocran

Repository

GitHub ↗ modeloriented/treeshap

102Stars

25Forks

7Open issues

1Open PRs

4Releases

262Commits

10Contributors

explainabilityexplainable-aiexplainable-artificial-intelligenceexplanatory-model-analysisimlinterpretabilityinterpretable-machine-learningmachine-learning

License GPL-3.0 · 262 commits · Last activity 2026-05-13 · +2% stars, 30d

Stars over time

2025-05-22 · 862026-08-09 · 102

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 5 families in the upstream repository

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

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdrevdep/

Docs source (1)

README.Rmd

Show all practices

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (3)

data.table ggplot2 Rcpp

LinkingTo (1)

Rcpp

Suggests (10)

gbm jsonlite lightgbm gpboost randomForest ranger scalessurvivaltestthat xgboost

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

survex ubair

Code & Tests

People & History

People (8)

Maintainer (1)

Michael Mayer

Author, Maintainer · added in 0.4.0

Authors (5)

Michael Mayer

Author, Maintainer · added in 0.4.0

Przemyslaw Biecek

Author, Copyright holder

Konrad Komisarczyk

Author

Pawel Kozminski

Author

Szymon Maksymiuk

Author

Contributors (3)

Lorenz A. Kapsner

Contributor

Mateusz Krzyzinski

Contributor

Mikolaj Spytek

Contributor

Copyright holders (1)

Przemyslaw Biecek

Author, Copyright holder

Package Timeline

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

0.4.0Latest
2026-04-24 · current release · diff ↗
unarchivedReturned to CRAN
2026-04-24
R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2025-12-17
issues were not corrected in time
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.3.1
2024-01-22 · diff ↗
unarchivedReturned to CRAN
2024-01-22
archivedRemoved from CRAN
2024-01-11
issues were not corrected in time
0.3.0
2023-10-24 · diff ↗
0.2.5
2023-10-01
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2026-04-24
Total releases: 4 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1.0
Bundled data: 623 KB / 1 file
Download size: 808 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("treeshap")

Format

Mayer, M., Biecek, P., Kapsner, L. A., Komisarczyk, K., Kozminski, P., Krzyzinski, M., Maksymiuk, S., & Spytek, M. (2026). treeshap: Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm (Version 0.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.treeshap

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 treeshap version 0.4.0 [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.

Report a problem with this page →