R Observatory: Metrics for lime version 0.5.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

lime

0.5.4

Local Interpretable Model-Agnostic Explanations

5packages depend

269.6Kdownloads / year

36.7%test coverage

13/13checks pass

Overview

About

Maintained by Emil HvitfeldtFirst published 2017-09-159 releasesCRAN page ↗GitHub ↗

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.

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.

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).

Health

CRAN checks

13OK

Slowest check: 6.8 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.10

36.7%

Coverage · measured lines

100%

Documentation · exports

14

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 422 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 80%
Documented parameters: 93%
Return-value docs: 93%
References docs: 6%

Downloads

269.6K

CRAN downloads in the past year

Rank #2,102 · ~739/day · ~22.5K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.8K30 days

9.9K90 days

269.6K1 year

Compare downloads with other packages →

Also on534 r2u20 autocran4K conda_forge70 c2d4u

Repository

GitHub ↗ tidymodels/lime

493Stars

111Forks

42Open issues

4Open PRs

6Releases

234Commits

16Contributors

rmodel-checkingmodelingmodel-evaluationcaret

234 commits · Last activity 2025-12-11 · 0% stars, 30d

Stars over time

2025-08-07 · 4872026-07-17 · 493

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/tidymodels/lime on 2026-08-16.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Show all practices

Lint, format, editor (2)

AirVS Code

Coverage (1)

Codecov

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

26 external dependencies (excludes base and recommended)

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

5direct

0indirect

PEAXAI grafzahl DALEXtra fastml innsight

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Emil Hvitfeldt

Author, Maintainer · added in 0.5.3

Authors (3)

Emil Hvitfeldt

Author, Maintainer · added in 0.5.3

Michaël Benesty

Author

Thomas Lin Pedersen

Author

Package Timeline

9 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.5.4Latest
2025-12-11 · current release · 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
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
2021-02-24 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.5.1
2019-11-12 · diff ↗
0.5.0
2019-06-24 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.4.1
2018-11-21 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.4.0
2018-03-08 · diff ↗

Show 3 earlier events

0.3.1
2017-11-24 · diff ↗
0.3.0
2017-09-15
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-09-15
Total releases: 9 / 9 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1
Bundled data: 98 KB / 3 files
Download size: 1.4 MB
Installed size: not tracked yet
With dependencies: not tracked yet

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. (2025). lime: Local Interpretable Model-Agnostic Explanations (Version 0.5.4) [Computer software]. https://doi.org/10.32614/CRAN.package.lime

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 0.5.4 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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