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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 "causalWins" in publications use:'
type: software
license: AGPL-3.0-or-later
title: 'causalWins: Compute the Causal Win Ratio Using Nearest Neighbor Matching'
version: 0.1.0
doi: 10.32614/CRAN.package.causalWins
abstract: 'Based on “Rethinking the Win Ratio: A Causal Framework for Hierarchical
  Outcome Analysis” (M. Even and J. Josse, 2025), this package provides implementations
  of three approaches - nearest neighbor matching, distributional regression forests,
  and efficient influence functions - to estimate the causal win ratio, win proportion,
  and net benefit.'
authors:
- family-names: Andrade
  given-names: Francisco
- family-names: Even
  given-names: Mathieu
  email: mathieu.even@inria.fr
- family-names: Josse
  given-names: Julie
repository: https://cran.r-universe.dev
commit: a94b78aee9398e83092818661d362ee5687d715e
date-released: '2026-04-21'
contact:
- family-names: Even
  given-names: Mathieu
  email: mathieu.even@inria.fr