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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "lime" in publications use:'
type: software
license: MIT
title: 'lime: Local Interpretable Model-Agnostic Explanations'
version: 0.5.4.9000
doi: 10.32614/CRAN.package.lime
identifiers:
- type: url
  value: https://lime.data-imaginist.com/
abstract: 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) <https://doi.org/10.48550/arXiv.1602.04938>.
authors:
- family-names: Hvitfeldt
  given-names: Emil
  email: emil.hvitfeldt@posit.co
  orcid: https://orcid.org/0000-0002-0679-1945
- family-names: Pedersen
  given-names: Thomas Lin
  email: thomasp85@gmail.com
  orcid: https://orcid.org/0000-0002-5147-4711
- family-names: Benesty
  given-names: Michaël
  email: michael@benesty.fr
repository: https://tidymodels.r-universe.dev
repository-code: https://github.com/tidymodels/lime
commit: 1c9f97478b442d851b907de8042c298f9ac832b0
url: https://lime.data-imaginist.com
date-released: '2025-12-11'
contact:
- family-names: Hvitfeldt
  given-names: Emil
  email: emil.hvitfeldt@posit.co
  orcid: https://orcid.org/0000-0002-0679-1945