R Observatory: Metrics for iBreakDown version 2.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

iBreakDown

2.1.2Package record

Model Agnostic Instance Level Variable Attributions

3packages dependsuggested by 1

88.6Kdownloads / year

95.0%test coverage

11/13flavors OK

Overview

About

Maintained by Przemyslaw BiecekCRAN page ↗GitHub ↗Website ↗Issues ↗

Model agnostic tool for decomposition of predictions from black boxes. Supports additive attributions and attributions with interactions. The Break Down Table shows contributions of every variable to a final prediction. The Break Down Plot presents variable contributions in a concise graphical way. This package works for classification and regression models. It is an extension of the 'breakDown' package (Staniak and Biecek 2018) doi:10.32614/RJ-2018-072, with new and faster strategies for orderings. It supports interactions in explanations and has interactive visuals (implemented with 'D3.js' library). The methodology behind is described in the 'iBreakDown' article (Gosiewska and Biecek 2019) arXiv:1903.11420 This package is a part of the 'DrWhy.AI' universe (Biecek 2018) arXiv:1806.08915.

Changes in 2.1.2

force matrix class for cumulative contributions in the calculate_contributions_along_path to prevent iBreakDown breaking for multiclass classification models that return data.frame of probabilities instead of a matrix.

From NEWS.md in the release

Install

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

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

Development version from ModelOriented/iBreakDown. 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-ibreakdown

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-iBreakDown

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-iBreakDown

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

2NOTE11OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Przemyslaw Biecek <przemyslaw.biecek@gmail.com>’

The Description field contains
  article (Gosiewska and Biecek 2019) <arXiv:1903.11420> This package is
  a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 8.5 min · r-release-macos-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.1.2

README· In the repository, left out of the releaseVignettesYes · 2 · dynamicNEWSYes · 33% structured · mentions 2.1.2Citation fileYes · software entry onlyWebsiteYes · pkgdown

Description cites an R Journal article

Help pages: 12
Examples that run: 100%10 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 92%

Vignettes (2)

How these are measured

Downloads

88.6K

CRAN downloads in the past year

Rank #1,486 · ~243/day · ~7.4K/mo

Releases R versions

Daily download trend is not available in this view yet.

4.9K30 days

16.8K90 days

88.6K1 year

Compare downloads with other packages →

Also on2.8K r2u7 autocran2K conda_forge95 c2d4u

How downloads are counted

Repository

modeloriented/ibreakdown ↗Organization: ModelOriented

84Stars

16Forks

4Open issues

0Open PRs

0Releases

246Commits

10Commit identities

xaiimlbreakdowninterpretabilityshapley

License file reads as GPL-3.0 · 246 commits · Last activity 2023-11-30 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 82%
Median days to close, 50 most recently updated closed issues: 18
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-02-18 · 832026-07-07 · 84

How these are measured

PracticesBeta

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

Checks run against github.com/modeloriented/ibreakdown on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Governance and community (1)

Contributing guide

Docs source (3)

pkgdown

GitHub Pages site last deployed 2022-02-06 · The repository has a site deploy workflow

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 2 practices

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Installing iBreakDown adds 17 packages (7 with compiled code, 14 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.

Depends (1)

R >= 3.5

Imports (1)

ggplot2

LinkingTo (0)

none

Suggests (11)

DALEX knitr rmarkdown randomForest e1071 rangernnettestthat r2d3 jsonlite covr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

17indirect

Imports 3

Suggested by 1

Depends, Imports or LinkingTo, most downloaded first

DALEX modelStudio EIX

Suggests, most downloaded first

fastml

How these are counted

Code & Tests

People & History

People (5)

Przemyslaw Biecek

Author, Maintainer since 0.9.5 (2019)

Hubert Baniecki

Author · added in 0.9.9

Alicja Gosiewska

Author

Adam Izdebski

Author · added in 0.9.9

Dariusz Komosinski

Contributor

Releases (9)

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
2.1.2Latest
record
2023-12-01 · current release · diff ↗
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
2.0.1
record
2021-05-07 · diff ↗
1.3.1
record
2020-07-29 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.2.0
record
2020-04-20 · diff ↗
1.1.1
record
2020-04-15 · diff ↗
1.0
record
2020-02-18 · diff ↗
0.9.9
record
2019-08-27 · diff ↗ ·
added 1 export
describe
0.9.6
record
2019-04-30 · diff ↗ ·
removed 1 export
local_attributions_uncertainty

added 2 exports
break_down_uncertainty, shap
R
R 3.6.0 released · 2019-04-26

Show 2 earlier eventsHide 2 earlier events

0.9.5
record
2019-04-04
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2019-04-04
Total releases: 9 / 7 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5
Download size: 356 KB

Appears in task views

Machine Learning & Statistical Learning

Cite

Cite this package

Run in R for the authors' entry:

citation("iBreakDown")

The package provides a citation file, so citation() returns the authors' own entry.

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 iBreakDown version 2.1.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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