Package: causalWins
Title: Compute the Causal Win Ratio Using Nearest Neighbor Matching
Version: 0.1.0
Authors@R: 
  c(person(given = "Francisco",
           family = "Andrade",
           role = "aut",
           ),
    person(given = "Mathieu",
           family = "Even",
           role = c("aut", "cre"),
           email = "mathieu.even@inria.fr",
           ),
    person(given = "Julie",
           family = "Josse",
           role = "aut"))
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.
Encoding: UTF-8
License: AGPL (>= 3)
RoxygenNote: 7.3.3
Imports: drf, FactoMineR, grf, MatchIt
Suggests: knitr, rmarkdown, WINS, MASS
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-20 06:52:14 UTC; root
Author: Francisco Andrade [aut], Mathieu Even [aut, cre], Julie Josse
        [aut]
Maintainer: Mathieu Even <mathieu.even@inria.fr>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-04-21 19:42:10 UTC
RemoteUrl: https://github.com/cran/causalWins
RemoteRef: HEAD
RemoteSha: a94b78aee9398e83092818661d362ee5687d715e