R Observatory: Metrics for shapviz version 0.10.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

shapviz

0.10.4

SHAP Visualizations

1packages dependsuggested by 3

82.5Kdownloads / year

86.4%test coverage

13/13flavors OK

Overview

About

Maintained by Michael MayerCRAN page ↗GitHub ↗Website ↗Issues ↗

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.

Changes in 0.10.4

Maintenance

XGBoost related changes in the documentation (#186):
nthread is now part of xgb.train(params = list(...))
Due to updates in both the fit algorithm and the TreeSHAP implementation,

some pictures look different now, e.g., in the README.

fastshap is now on R-universe, so we have updated the dependency (#186).

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)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. 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-shapviz

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-shapviz

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: 4.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.10.4

READMEYes · 219 wordsVignettesYes · 4 · dynamicNEWSYes · 100% structured · mentions 0.10.4Citation fileNoWebsiteYes · pkgdown

Help pages: 27includes a package overview page
Examples that run: 96%23 run in a plain check · 1 never run
Exported functions with examples: 93%
Documented parameters: 93%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (4)

How these are measured

Downloads

82.5K

CRAN downloads in the past year

Rank #1,482 · ~226/day · ~6.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

6.2K30 days

16.9K90 days

82.5K1 year

Compare downloads with other packages →

Also on369 r2u10 autocran2.3K conda_forge55 c2d4u

How downloads are counted

Repository

modeloriented/shapviz ↗Organization: ModelOriented

124Stars

15Forks

0Open issues

0Open PRs

24Releases

516Commits

6Commit identities

explainable-aimachine-learningrstatsshapvisualizationxaishapley-value

License file reads as GPL-2.0 · 516 commits · Last activity 2026-08-31 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 96%
Median days to close, 50 most recently updated closed issues: 3
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-10-15 · 1092026-09-14 · 124

How these are measured

PracticesBeta

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

Checks run against github.com/modeloriented/shapviz 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 (3)

pkgdown

GitHub Pages site last deployed 2026-08-31 · The repository has a site deploy workflow

Coverage (1)

Coverage reporting

CRAN release process (3)

cran-comments.mdrevdep/CRAN-SUBMISSION

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing shapviz adds 38 packages (21 with compiled code, 43 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

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

1direct

0indirect

Imports 1

Suggested by 3

Depends, Imports or LinkingTo, most downloaded first

E2E

Suggests, most downloaded first

pre mrIML ubair

How these are counted

Code & Tests

Datasets

People & History

People (2)

Michael Mayer

Author, Maintainer since 0.1.0 (2022)

Adrian Stando

Contributor · added in 0.7.0

Releases (24)

Pick two releases to compare their code metrics.

0.10.4Latest
record
2026-08-31 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.10.3
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2025-10-13 · diff ↗
0.10.2
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2025-07-17 · diff ↗
0.10.1
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2025-06-23 · diff ↗
0.10.0
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2025-06-22 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.9.7
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2025-01-19 · diff ↗
0.9.6
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2024-10-11 · diff ↗
0.9.5
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2024-09-14 · diff ↗
0.9.4
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2024-08-21 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.9.3
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2024-01-12 · diff ↗
0.9.2
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2023-10-14 · diff ↗
0.9.1
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2023-07-18 · diff ↗
0.9.0
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2023-06-09 · diff ↗ ·
added 1 export
sv_dependence2D

Show 13 earlier eventsHide 13 earlier events

0.8.0
record
2023-05-10 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.7.0
record
2023-04-11 · diff ↗ ·
added 2 exports
is.mshapviz, mshapviz
0.6.0
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2023-03-05 · diff ↗
0.5.0
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2023-02-03 · diff ↗ ·
added 2 exports
get_shap_interactions, sv_interaction
0.4.1
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2023-01-11 · diff ↗
0.4.0
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2022-12-09 · diff ↗
0.3.0
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2022-11-26 · diff ↗ ·
removed 2 exports
shapviz_from_lgb_predict, shapviz_from_xgb_predict
0.2.2
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2022-10-07 · diff ↗
0.2.1
record
2022-08-11 · diff ↗
0.2.0
record
2022-07-07 · diff ↗ ·
added 2 exports
collapse_shap, format_max
0.1.0
record
2022-06-10
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-06-10
Total releases: 24 / 4 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.6.0
Bundled data: 634 KB / 1 file
Download size: 1.9 MB

Appears in task views

Machine Learning & Statistical Learning

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("shapviz")

Format

Mayer, M., & Stando, A. (2026). shapviz: SHAP Visualizations (Version 0.10.4) [Computer software]. https://doi.org/10.32614/CRAN.package.shapviz

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 shapviz version 0.10.4 [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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