R Observatory: Metrics for ingredients version 2.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ingredients

2.3.0

Effects and Importances of Model Ingredients

5packages dependsuggested by 4

95.7Kdownloads / year

83.5%test coverage

11/13flavors OK

Overview

About

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

Collection of tools for assessment of feature importance and feature effects. Key functions are: feature_importance() for assessment of global level feature importance, ceteris_paribus() for calculation of the what-if plots, partial_dependence() for partial dependence plots, conditional_dependence() for conditional dependence plots, accumulated_dependence() for accumulated local effects plots, aggregate_profiles() and cluster_profiles() for aggregation of ceteris paribus profiles, generic print() and plot() for better usability of selected explainers, generic plotD3() for interactive, D3 based explanations, and generic describe() for explanations in natural language. The package 'ingredients' is a part of the 'DrWhy.AI' universe (Biecek 2018) arXiv:1806.08915.

Changes in 2.3.0

breaking change: calculate_variable_splits() now treats integer variables as categorical. This change is propagated to ceteris_paribus(), partial_dependence(), accumulated_dependence(), conditional_dependence(), aggregate_profiles(), DALEX::predict_profile(), DALEX::model_profile()
fix an error in ceteris_paribus / calculate_variable_splits when tidymodels uses integer variables #145
fix an error in show_observations #148. This change is propagated to DALEX::plot.predict_profile() #540.
fix #149 by replacing all class(x) = "y" with is(x, "y")

From NEWS.md in the release

Install

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

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

Development version from ModelOriented/ingredients. 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-ingredients

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-ingredients

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-ingredients

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
  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: 12.4 min · r-oldrel-windows-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 2.3.0

README· In the repository, left out of the releaseVignettesYes · 3 · dynamicNEWSYes · 33% structured · mentions 2.3.0Citation fileNoWebsiteYes · pkgdown

Help pages: 31
Examples that run: 93%27 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 95%
Help pages citing references: 81%

Vignettes (3)

How these are measured

Downloads

95.7K

CRAN downloads in the past year

Rank #1,454 · ~262/day · ~8K/mo

Releases R versions

Daily download trend is not available in this view yet.

5.6K30 days

17.5K90 days

95.7K1 year

Compare downloads with other packages →

Also on2.8K r2u7 autocran2.3K conda_forge113 c2d4u

How downloads are counted

Repository

modeloriented/ingredients ↗Organization: ModelOriented

39Stars

19Forks

3Open issues

2Open PRs

3Releases

339Commits

18Commit identities

License file reads as GPL-3.0 · 339 commits · Last activity 2023-03-15 · 0% stars, 30d · Default branch at 2.3.1, ahead of CRAN 2.3.0 (checked 2026-10-11)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 18
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2026-07-14 · 382026-07-23 · 39

How these are measured

PracticesBeta

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

Checks run against github.com/modeloriented/ingredients 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 2023-01-14 · The repository has a site deploy workflow

Coverage (1)

Coverage reporting (Codecov)

Lint, format, editor (1)

RStudio project

Show all practicesHide 1 practice

Git structural (1)

.gitattributes

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

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing ingredients adds 18 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 (4)

ggplot2 scales gridExtramethods

LinkingTo (0)

none

Suggests (9)

DALEX gower ranger testthat r2d3 jsonlite knitr rmarkdown covr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

5direct

15indirect

Imports 5

Suggested by 4

Depends, Imports or LinkingTo, most downloaded first

DALEX localModel modelStudio rSAFE drifter

Suggests, most downloaded first

DALEXtra survex h3sdm vivo

How these are counted

Code & Tests

People & History

People (3)

Przemyslaw Biecek

Author, Maintainer since 0.3.1 (2019)

Hubert Baniecki

Author

Adam Izdebski

Contributor · added in 0.3.9

Listed in earlier versions (1)

Katarzyna Pekala

no longer listed · 0.3.9 to 0.4

Releases (14)

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
R
R 4.3.0 released · 2023-04-21
2.3.0Latest
record
2023-01-15 · current release · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
2.2.0
record
2021-04-10 · diff ↗
2.0.1
record
2021-02-05 · diff ↗
2.0
record
2020-09-01 · diff ↗
1.3.1
record
2020-07-29 · diff ↗
1.3.0
record
2020-07-01 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.2.0
record
2020-04-20 · diff ↗
1.1
record
2020-03-11 · diff ↗
1.0
record
2020-02-18 · diff ↗ ·
added 4 exports
accumulated_dependence, bind_plots, conditional_dependence, partial_dependence

Show 7 earlier eventsHide 7 earlier events

0.5.0
record
2019-12-20 · diff ↗
0.4
record
2019-10-27 · diff ↗ ·
removed 5 exports
aspect_importance, aspect_importance_single, get_sample, group_variables, lime
0.3.9
record
2019-08-27 · diff ↗ ·
removed 7 exports
calculate_variable_profile, calculate_variable_split, theme_drwhy, theme_drwhy_blank, theme_drwhy_colors, theme_drwhy_colors_gradient, theme_drwhy_vertical

added 5 exports
aspect_importance, aspect_importance_single, get_sample, group_variables, lime
0.3.3
record
2019-05-01 · diff ↗ ·
removed 1 export
show_aggreagated_profiles

added 4 exports
describe, show_aggregated_profiles, show_profiles, show_residuals
R
R 3.6.0 released · 2019-04-26
0.3.1
record
2019-04-09
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2019-04-09
Total releases: 14 / 7 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5
Download size: 2.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ingredients")

Format

Biecek, P., Baniecki, H., & Izdebski, A. (2023). ingredients: Effects and Importances of Model Ingredients (Version 2.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ingredients

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 ingredients version 2.3.0 [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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