R Observatory: Metrics for lime version 0.5.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

lime

0.5.5

Local Interpretable Model-Agnostic Explanations

2packages dependsuggested by 3

163.2Kdownloads / year

27.1%test coverage

13/13flavors OK

Overview

About

Maintained by Emil HvitfeldtCRAN page ↗GitHub ↗Website ↗Issues ↗

When building complex models, it is often difficult to explain why the model should be trusted. While global measures such as accuracy are useful, they cannot be used for explaining why a model made a specific prediction. 'lime' (a port of the 'lime' 'Python' package) is a method for explaining the outcome of black box models by fitting a local model around the point in question an perturbations of this point. The approach is described in more detail in the article by Ribeiro et al. (2016) doi:10.48550/arXiv.1602.04938.

Changes in 0.5.5

Made a change to allow RcppEigen to release easily. (#205)

From NEWS.md in the release

Install

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

install.packages("lime", 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("tidymodels/lime")

Development version from tidymodels/lime. 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-lime

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-lime

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-lime

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: 5.4 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.5.5

READMEYes · 422 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.5.5Citation fileNoWebsiteYes · pkgdown

Help pages: 18 (4 internal)includes a package overview page
Examples that run: 80%8 run in a plain check · 2 never run
Exported functions with examples: 71%
Documented parameters: 93%
Return-value docs: 93%
Help pages citing references: 6%

Vignettes (1)

Understanding lime HTML

How these are measured

Downloads

163.2K

CRAN downloads in the past year

Rank #2,154 · ~447/day · ~13.6K/mo

Releases R versions

Daily download trend is not available in this view yet.

3K30 days

8.1K90 days

163.2K1 year

Compare downloads with other packages →

Also on492 r2u7 autocran3.9K conda_forge139 c2d4u

How downloads are counted

Repository

tidymodels/lime ↗Organization: tidymodels

495Stars

112Forks

42Open issues

4Open PRs

7Releases

234Commits

16Commit identities

rmodel-checkingmodelingmodel-evaluationcaret

234 commits · Last activity 2026-10-16 · +0.4% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 81%
Median days to close, 50 most recently updated closed issues: 140
Median days to close, 50 most recently updated closed PRs: 2

Stars over time

2025-09-11 · 4892026-10-17 · 495

How these are measured

PracticesBeta

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

Checks run against github.com/tidymodels/lime 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

Governance and community (1)

Code of conduct

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2025-12-11 · The repository has a site deploy workflow

pkgdown site last built 2025-12-11, before release 0.5.5 (2026-10-16)

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 3 practices

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Lint, format, editor (3)

Lint workflowAirVS Code

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

Dependencies

Declared dependencies

26 external dependencies (excludes base and recommended)

Installing lime adds 26 packages (12 with compiled code, 32 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, glmnet 2.7 MB.

Depends (1)

R >= 4.1

Imports (14)

assertthat ggplot2 glmnet glue gowergrDeviceslifecycleMatrixmethodsRcpp rlangstatsstringitools

LinkingTo (2)

Rcpp RcppEigen

Suggests (16)

covr h2o htmlwidgets keras knitr magickMASSmlr ranger rmarkdown sessioninfo shiny shinythemes testthat text2vec xgboost

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

Imports 2

Suggested by 3

Depends, Imports or LinkingTo, most downloaded first

PEAXAI grafzahl

Suggests, most downloaded first

DALEXtra innsight fastml

How these are counted

Code & Tests

Datasets

People & History

People (3)

Emil Hvitfeldt

Author, Maintainer since 0.5.3 (2022) · added in 0.5.3

Michaël Benesty

Author

Thomas Lin Pedersen

Author

Previously maintained by Thomas Lin Pedersen (0.3.0 to 0.5.2).

Releases (10)

Pick two releases to compare their code metrics.

0.5.5Latest
record
2026-10-16 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.5.4
record
2025-12-11 · diff ↗
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
0.5.3
record
2022-08-19 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.5.2
record
2021-02-24 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.5.1
record
2019-11-12 · diff ↗
0.5.0
record
2019-06-24 · diff ↗ ·
added 1 export
.load_text_example
R
R 3.6.0 released · 2019-04-26
0.4.1
record
2018-11-21 · diff ↗
R
R 3.5.0 released · 2018-04-23

Show 4 earlier eventsHide 4 earlier events

0.4.0
record
2018-03-08 · diff ↗ ·
added 6 exports
.load_image_example, as_classifier, as_regressor, plot_image_explanation, plot_superpixels, slic
0.3.1
record
2017-11-24 · diff ↗ ·
added 1 export
plot_explanations
0.3.0
record
2017-09-15
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-09-15
Total releases: 10 / 9 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1
Bundled data: 98 KB / 3 files
Download size: 1.3 MB

Appears in task views

Machine Learning & Statistical Learning

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lime")

Format

Hvitfeldt, E., Benesty, M., & Pedersen, T. L. (2026). lime: Local Interpretable Model-Agnostic Explanations (Version 0.5.5) [Computer software]. https://doi.org/10.32614/CRAN.package.lime

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 lime version 0.5.5 [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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