Skip to content

Interpretable Machine Learning

2packages dependsuggested by 8
82.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Interpretability methods to analyze the behavior and predictions of any machine learning model. Implemented methods are: Feature importance described by Fisher et al. (2018) doi:10.48550/arxiv.1801.01489, accumulated local effects plots described by Apley (2018) doi:10.48550/arxiv.1612.08468, partial dependence plots described by Friedman (2001) <www.jstor.org/stable/2699986>, individual conditional expectation ('ice') plots described by Goldstein et al. (2013) doi:10.1080/10618600.2014.907095, local models (variant of 'lime') described by Ribeiro et. al (2016) doi:10.48550/arXiv.1602.04938, the Shapley Value described by Strumbelj et. al (2014) doi:10.1007/s10115-013-0679-x, feature interactions described by Friedman et. al doi:10.1214/07-AOAS148 and tree surrogate models.

Changes in 0.11.4
  • Fix bug in FeatureEffect when features are stored as integer (PR #219)

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 5.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.11.4
README· In the repository, left out of the releaseVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 0.11.4Citation fileYes · cites a publicationWebsiteYes · pkgdown
Cites a JOSS paper
Help pages
29 (5 internal)includes a package overview page
Examples that run
82%14 run in a plain check · 3 never run
Exported functions with examples
80%
Documented parameters
not tracked
Return-value docs
0%
Help pages citing references
24%

Downloads

82.2K
CRAN downloads in the past year
Rank #1,605 · ~225/day · ~6.9K/mo
Daily download trend is not available in this view yet.
5.5K30 days
14.3K90 days
82.2K1 year
Compare downloads with other packages →
Also on1.3K r2u4 autocran2.5K conda_forge91 c2d4u

Repository

503Stars
87Forks
64Open issues
1Open PRs
9Releases
762Commits
15Commit identities
762 commits · Last activity 2025-02-24 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
89%
Median days to close, 50 most recently updated closed issues
30
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-07-25 · 5002026-09-03 · 503
PracticesBeta

10 development-tooling and community-health practices detected across 7 families in the upstream repository

Checks run against github.com/giuseppec/iml on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Governance and community (1)
Contributing guide
Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2024-10-18

Reproducibility and dev environment (1)
Makefile
Show all practicesHide 3 practices
CRAN release process (1)
cran-comments.md
Research and citation (1)
codemeta.json
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
30 external dependencies (excludes base and recommended)

Installing iml adds 28 packages (12 with compiled code, 21 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, isoband 1.5 MB.

Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Suggested by 8
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (3)
Author, Maintainer since 0.11.2 (2024) · added in 0.11.2
Author · added in 0.10.0

Previously maintained by Christoph Molnar (0.2.1 to 0.11.1).

Releases (17)

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
  • 0.11.4Latest
    record
    2025-02-24 · current release · diff ↗
  • 0.11.3
    record
    2024-04-27 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.11.2
    record
    2024-03-29 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.11.1
    record
    2022-09-08 · diff ↗
  • 0.11.0
    record
    2022-05-12 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.10.1
    record
    2020-09-24 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.10.0
    record
    2020-03-26 · diff ↗ ·
    added 1 export
    InterpretationMethod
  • R
    R 3.6.0 released · 2019-04-26
  • 0.9.0
    record
    2019-02-05 · diff ↗ ·
    added 1 export
    FeatureEffects
Show 11 earlier eventsHide 11 earlier events

Package metadata

First published
2018-03-13
Total releases
17 / 8 yrs
License
MIT + file LICENSE OSI
Download size
161 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("iml")

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

It points to 10.21105/joss.00786.

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 iml version 0.11.4 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, 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 →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy