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causalWins  

Compute the Causal Win Ratio Using Nearest Neighbor Matching
View on CRAN: Click here


Download and install causalWins package within the R console
Install from CRAN:
install.packages("causalWins")

Install from Github:
library("remotes")
install_github("cran/causalWins")

Install by package version:
library("remotes")
install_version("causalWins", "0.1.0")



Attach the package and use:
library("causalWins")
Maintained by
Mathieu Even
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-21
Latest Update: 2026-04-21
Description:
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.
How to cite:
Mathieu Even (2026). causalWins: Compute the Causal Win Ratio Using Nearest Neighbor Matching. R package version 0.1.0, https://cran.r-project.org/web/packages/causalWins. Accessed 29 Jul. 2026.
Previous versions and publish date:
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Complete documentation for causalWins
Functions, R codes and Examples using the causalWins R package
Full causalWins package functions and examples
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