causalWins
Compute the Causal Win Ratio Using Nearest Neighbor Matching
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling source/ R- | causalWins_0.1.0.tar.gz |
302.5 KiB |
0.1.0 |
rolling linux/jammy R-4.5 | causalWins_0.1.0.tar.gz |
218.4 KiB |
0.1.0 |
rolling linux/noble R-4.5 | causalWins_0.1.0.tar.gz |
218.4 KiB |
0.1.0 |
latest source/ R- | causalWins_0.1.0.tar.gz |
302.5 KiB |
0.1.0 |
latest linux/jammy R-4.5 | causalWins_0.1.0.tar.gz |
218.4 KiB |
0.1.0 |
latest linux/noble R-4.5 | causalWins_0.1.0.tar.gz |
218.4 KiB |
0.1.0 |
2026-04-23 source/ R- | causalWins_0.1.0.tar.gz |
302.5 KiB |