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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 "shapr" in publications use:'
type: software
license: MIT
title: 'shapr: Prediction Explanation with Dependence-Aware Shapley Values'
version: 1.0.1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.shapr
- type: url
  value: https://github.com/NorskRegnesentral/shapr/
abstract: Complex machine learning models are often hard to interpret. However, in
  many situations it is crucial to understand and explain why a model made a specific
  prediction. Shapley values is the only method for such prediction explanation framework
  with a solid theoretical foundation. Previously known methods for estimating the
  Shapley values do, however, assume feature independence. This package implements
  methods which accounts for any feature dependence, and thereby produces more accurate
  estimates of the true Shapley values. An accompanying 'Python' wrapper ('shaprpy')
  is available through the GitHub repository.
authors:
- family-names: Jullum
  given-names: Martin
  email: Martin.Jullum@nr.no
  orcid: https://orcid.org/0000-0003-3908-5155
- family-names: Olsen
  given-names: Lars Henry Berge
  email: lhbolsen@nr.no
  orcid: https://orcid.org/0009-0006-9360-6993
- family-names: Redelmeier
  given-names: Annabelle
  email: ardelmeier@gmail.com
- family-names: Lachmann
  given-names: Jon
  email: Jon@lachmann.nu
  orcid: https://orcid.org/0000-0001-8396-5673
- family-names: Sellereite
  given-names: Nikolai
  email: nikolaisellereite@gmail.com
  orcid: https://orcid.org/0000-0002-4671-0337
preferred-citation:
  type: unpublished
  title: 'shapr: Explaining Machine Learning Models with Conditional Shapley Values
    in R and Python'
  authors:
  - name: Martin Jullum, Lars Henry Berge Olsen, Jon Lachmann, Annabelle Redelmeier
  notes: Manuscript in preparation
  year: '2024'
repository: https://cranhaven.r-universe.dev
repository-code: https://github.com/NorskRegnesentral/shapr
commit: d68e22182c0e7a32216f799d5d957bc2a64cd6df
url: https://norskregnesentral.github.io/shapr/
date-released: '2025-01-16'
contact:
- family-names: Jullum
  given-names: Martin
  email: Martin.Jullum@nr.no
  orcid: https://orcid.org/0000-0003-3908-5155
references:
- type: article
  title: 'shapr: An R-package for explaining machine learning models with dependence-aware
    Shapley values'
  authors:
  - name: Sellereite N. & Jullum M.
  journal: Journal of Open Source Software
  year: '2019'
  volume: '5'
  issue: '46'
  doi: 10.21105/joss.02027
  start: '2027'