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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 "explainer" in publications use:'
type: software
license: MIT
title: 'explainer: Machine Learning Model Explainer'
version: 1.0.2
doi: 10.1093/bioadv/vbae049
identifiers:
- type: doi
  value: 10.32614/CRAN.package.explainer
abstract: It enables detailed interpretation of complex classification and regression
  models through Shapley analysis including data-driven characterization of subgroups
  of individuals. Furthermore, it facilitates multi-measure model evaluation, model
  fairness, and decision curve analysis. Additionally, it offers enhanced visualizations
  with interactive elements.
authors:
- family-names: Zargari Marandi
  given-names: Ramtin
  email: ramtin.zargari.marandi@regionh.dk
  orcid: https://orcid.org/0000-0001-9233-1656
preferred-citation:
  type: article
  title: 'ExplaineR: an R package to explain machine learning models'
  authors:
  - name: R. Zargari Marandi
  journal: Bioinformatics advances
  year: '2024'
  volume: '4'
  issue: '1'
  doi: 10.1093/bioadv/vbae049
  medium: https://doi.org/10.1093/bioadv/vbae049
  start: vbae049
repository: https://persimune.r-universe.dev
repository-code: https://github.com/PERSIMUNE/explainer
commit: 260bd43acbffdc64d061672aeea0662949d2e936
url: https://persimune.github.io/explainer/
contact:
- family-names: Zargari Marandi
  given-names: Ramtin
  email: ramtin.zargari.marandi@regionh.dk
  orcid: https://orcid.org/0000-0001-9233-1656