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breakDown

0.2.2Package record

Model Agnostic Explainers for Individual Predictions

1packages depend
7.1Kdownloads / year
62.7%test coverage
13/13flavors OK

Overview

About

Model agnostic tool for decomposition of predictions from black boxes. Break Down Table shows contributions of every variable to a final prediction. Break Down Plot presents variable contributions in a concise graphical way. This package work for binary classifiers and general regression models.

Install

Health

CRAN checks
13OK
Slowest check: 11.0 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 2 earlier changesHide 2 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.2
README· In the repository, left out of the releaseVignettesYes · 7 · dynamicNEWSYes · 33% structured · does not mention 0.2.2Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
10
Examples that run
33%2 run in a plain check · 4 never run
Exported functions with examples
67%
Documented parameters
100%
Return-value docs
67%
Help pages citing references
0%

Downloads

7.1K
CRAN downloads in the past year
Rank #6,252 · ~20/day · ~594/mo
Daily download trend is not available in this view yet.
52330 days
1.3K90 days
7.1K1 year
Compare downloads with other packages →
Also on100 r2u31 autocran2.2K conda_forge

Repository

103Stars
16Forks
8Open issues
0Open PRs
0Releases
102Commits
6Commit identities
machine-learninginterpretabilitydata-sciencexaivisual-explanationsiml
102 commits · Last activity 2024-03-12 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
86%
Median days to close, 50 most recently updated closed issues
1
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-11-06 · 1032026-08-11 · 103
PracticesBeta

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

Checks run against github.com/pbiecek/breakdown on 2026-10-22.

Continuous integration (1)
Travis CI (config file)
Governance and community (1)

The repository owner accepts GitHub Sponsors

Docs source (2)
pkgdown

GitHub Pages site last deployed 2024-03-12

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing breakDown 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 >= 3.0
Imports (1)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (2)
Author, Maintainer since 0.1.3 (2018)
Contributor · added in 0.1.6
Releases (7)

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
  • 0.2.2Latest
    record
    2024-03-12 · 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
  • 0.2.1
    record
    2021-01-20 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.2.0
    record
    2020-04-05 · diff ↗ ·
    added 1 export
    break_down
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1.6
    record
    2018-06-14 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.5
    record
    2018-04-06 · diff ↗ ·
    added 1 export
    betas
  • 0.1.4
    record
    2018-02-27 · diff ↗
  • 0.1.3
    record
    2018-01-29
Show 1 earlier eventHide 1 earlier event
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2018-01-29
Total releases
7 / 8 yrs
License
GPL-2 OSI
Minimum R
≥ 3.0
Bundled data
107 KB / 2 files
Download size
783 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("breakDown")

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for breakDown version 0.2.2 [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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