Other packages > Find by keyword >

lime  

Local Interpretable Model-Agnostic Explanations
View on CRAN: Click here


Download and install lime package within the R console
Install from CRAN:
install.packages("lime")

Install from Github:
library("remotes")
install_github("cran/lime")

Install by package version:
library("remotes")
install_version("lime", "0.5.4")



Attach the package and use:
library("lime")
Maintained by
Emil Hvitfeldt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-15
Latest Update: 2022-08-19
Description:
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) .
How to cite:
Emil Hvitfeldt (2017). lime: Local Interpretable Model-Agnostic Explanations. R package version 0.5.4, https://cran.r-project.org/web/packages/lime. Accessed 16 Oct. 2026.
Previous versions and publish date:
(2026-10-16 05:50), 0.3.0 (2017-09-15 14:14), 0.3.1 (2017-11-24 11:11), 0.4.0 (2018-03-08 23:51), 0.4.1 (2018-11-21 13:50), 0.5.0 (2019-06-24 12:50), 0.5.1 (2019-11-12 09:20), 0.5.2 (2021-02-24 13:00), 0.5.3 (2022-08-19 10:50), 0.5.4 (2025-12-11 17:00)
Other packages that cited lime R package
View lime citation profile
Other R packages that lime depends, imports, suggests or enhances
Complete documentation for lime
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

TreeDimensionTest  
Trajectory Presence and Heterogeneity in Multivariate Data
Testing for trajectory presence and heterogeneity on multivariate data. Two statistical methods (Te ...
Download / Learn more Package Citations See dependency  
MindOnStats  
Data sets included in Utts and Heckard's Mind on Statistics
66 data sets that were imported using read.table() where appropriate but more commonly after convert ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
micompr  
Multivariate Independent Comparison of Observations
A procedure for comparing multivariate samples associated with different groups. It uses principal ...
Download / Learn more Package Citations See dependency  
outerbase  
Outer Product Regression
High-dimensional regression using outer product models. Research on the methods is currently under ...
Download / Learn more Package Citations See dependency  
ICAMS  
In-Depth Characterization and Analysis of Mutational Signatures ('ICAMS')
Analysis and visualization of experimentally elucidated mutational signatures -- the kind of analys ...
Download / Learn more Package Citations See dependency  

29,000

R Packages

247,686

Dependencies

76,729

Author Associations

29,001

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA