# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "marginaleffects" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis
  Tests'
version: 0.24.0
doi: 10.18637/jss.v111.i09
identifiers:
- type: doi
  value: 10.32614/CRAN.package.marginaleffects
abstract: Compute and plot predictions, slopes, marginal means, and comparisons (contrasts,
  risk ratios, odds, etc.) for over 100 classes of statistical and machine learning
  models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests.
  Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based
  inference. Details can be found in Arel-Bundock, Greifer, and Heiss (2024) <https://doi.org/10.18637/jss.v111.i09>.
authors:
- family-names: Arel-Bundock
  given-names: Vincent
  email: vincent.arel-bundock@umontreal.ca
  orcid: https://orcid.org/0000-0003-2042-7063
preferred-citation:
  type: article
  title: How to Interpret Statistical Models Using marginaleffects for R and Python
  authors:
  - family-names: Arel-Bundock
    given-names: Vincent
    email: vincent.arel-bundock@umontreal.ca
    orcid: https://orcid.org/0000-0003-2042-7063
  - family-names: Greifer
    given-names: Noah
    email: ngreifer@iq.harvard.edu
  - family-names: Heiss
    given-names: Andrew
    email: aheiss@gsu.edu
  journal: Journal of Statistical Software
  year: '2024'
  volume: '111'
  issue: '9'
  doi: 10.18637/jss.v111.i09
  start: '1'
  end: '32'
repository: https://CRAN.R-project.org/package=marginaleffects
repository-code: https://github.com/vincentarelbundock/marginaleffects
url: https://marginaleffects.com/
date-released: '2024-11-25'
contact:
- family-names: Arel-Bundock
  given-names: Vincent
  email: vincent.arel-bundock@umontreal.ca
  orcid: https://orcid.org/0000-0003-2042-7063