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 23 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:53), 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)
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

fitscape  
Classes for Fitness Landscapes and Seascapes
Convenient classes to model fitness landscapes and fitness seascapes. A low-level package with whic ...
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  
ODS  
Statistical Methods for Outcome-Dependent Sampling Designs
Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency. In OD ...
Download / Learn more Package Citations See dependency  
MixSIAR  
Bayesian Mixing Models in R
Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fa ...
Download / Learn more Package Citations See dependency  
gfcanalysis  
Tools for Working with Hansen et al. Global Forest Change Dataset
Supports analyses using the Global Forest Change dataset released by Hansen et al. gfcanalysis was ...
Download / Learn more Package Citations See dependency  

27,889

R Packages

239,283

Dependencies

74,019

Author Associations

27,890

Publication Badges

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