shapviz

0.10.3

SHAP Visualizations

4packages depend

90.4Kdownloads / year

86.4%test coverage

13/13checks pass

Overview

About

Maintained by Michael MayerFirst published 2022-06-1023 releasesCRAN page ↗GitHub ↗

Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, dependence plots, and interaction plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', 'DALEX', and 'kernelshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.

Install

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

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

Development version from ModelOriented/shapviz. 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-shapviz

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

# 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-shapviz

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

Health

CRAN checks

13OK

Slowest check: 5.6 min · r-devel-linux-x86_64-fedora-clang

Code health

Yes

Tests · ratio 0.35

86.4%

Coverage · measured lines

100%

Documentation · exports

Dependencies · direct

Check history

OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 219 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 96%
Documented parameters: 93%
Return-value docs: 100%
References docs: 0%

Downloads

90.4K

CRAN downloads in the past year

Rank #1,518 · ~248/day · ~7.5K/mo

Releases R versions

Daily download trend is not available in this view yet.

5K30 days

19K90 days

90.4K1 year

Compare downloads with other packages →

Also on303 r2u37 autocran2.4K conda_forge29 c2d4u

Repository

GitHub ↗ modeloriented/shapviz

123Stars

15Forks

0Open issues

0Open PRs

23Releases

501Commits

6Contributors

explainable-aimachine-learningrstatsshapvisualizationxaishapley-value

License GPL-2.0 · 501 commits · Last activity 2025-10-13 · +1.7% stars, 30d

Stars over time

2025-07-22 · 1032026-07-15 · 123

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/modeloriented/shapviz on 2026-07-26.

Continuous integration (1)

GitHub Actions

CRAN release process (3)

cran-comments.mdrevdep/CRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.6.0

Imports (10)

ggfittext gggenes ggplot2 ggrepelgridpatchwork rlangstatsutilsxgboost

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

4direct

0indirect

E2E funcml mrIML ubair

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Michael Mayer

Author, Maintainer

Authors (1)

Michael Mayer

Author, Maintainer

Contributors (1)

Adrian Stando

Contributor · added in 0.7.0

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.10.3Latest
2025-10-13 · current release · diff ↗
0.10.2
2025-07-17 · diff ↗
0.10.1
2025-06-23 · diff ↗
0.10.0
2025-06-22 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.9.7
2025-01-19 · diff ↗
0.9.6
2024-10-11 · diff ↗
0.9.5
2024-09-14 · diff ↗
0.9.4
2024-08-21 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.9.3
2024-01-12 · diff ↗
0.9.2
2023-10-14 · diff ↗
0.9.1
2023-07-18 · diff ↗
0.9.0
2023-06-09 · diff ↗
0.8.0
2023-05-10 · diff ↗

Show 12 earlier events

R
R 4.3.0 released · 2023-04-21
0.7.0
2023-04-11 · diff ↗
0.6.0
2023-03-05 · diff ↗
0.5.0
2023-02-03 · diff ↗
0.4.1
2023-01-11 · diff ↗
0.4.0
2022-12-09 · diff ↗
0.3.0
2022-11-26 · diff ↗
0.2.2
2022-10-07 · diff ↗
0.2.1
2022-08-11 · diff ↗
0.2.0
2022-07-07 · diff ↗
0.1.0
2022-06-10
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-06-10
Total releases: 23 / 4 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.6.0
Bundled data: 634 KB / 1 file
Download size: 1.7 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Machine Learning & Statistical Learning

Report a problem with this page →