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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 "cpi" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'cpi: Conditional Predictive Impact'
version: 0.1.5
doi: 10.1007/s10994-021-06030-6
identifiers:
- type: doi
  value: 10.32614/CRAN.package.cpi
abstract: A general test for conditional independence in supervised learning algorithms
  as proposed by Watson & Wright (2021) <https://doi.org/10.1007/s10994-021-06030-6>.
  Implements a conditional variable importance measure which can be applied to any
  supervised learning algorithm and loss function. Provides statistical inference
  procedures without parametric assumptions and applies equally well to continuous
  and categorical predictors and outcomes.
authors:
- family-names: Wright
  given-names: Marvin N.
  email: cran@wrig.de
  orcid: https://orcid.org/0000-0002-8542-6291
- family-names: Watson
  given-names: David S.
preferred-citation:
  type: article
  title: Testing conditional independence in supervised learning algorithms
  authors:
  - family-names: Watson
    given-names: David S.
  - family-names: Wright
    given-names: Marvin N.
    email: cran@wrig.de
    orcid: https://orcid.org/0000-0002-8542-6291
  journal: Machine Learning
  year: '2011'
  volume: '110'
  issue: '8'
  doi: 10.1007/s10994-021-06030-6
  start: '2107'
  end: '2129'
repository: https://CRAN.R-project.org/package=cpi
repository-code: https://github.com/bips-hb/cpi
url: https://bips-hb.github.io/cpi/
date-released: '2024-11-05'
contact:
- family-names: Wright
  given-names: Marvin N.
  email: cran@wrig.de
  orcid: https://orcid.org/0000-0002-8542-6291