Description | How to install | Example 1 | Example 2 | Boxplots | Example 3 | Example 4 | Approximation of the true causal measure | Plot | Computation of the Confidence Interval for Win Ratio | References
Package: causalWins 0.1.0
Mathieu Even
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.
Authors:
causalWins_0.1.0.tar.gz
causalWins_0.1.0.tar.gz(r-4.7-any)causalWins_0.1.0.tar.gz(r-4.6-any)
causalWins_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
causalWins/json (API)
| # Install 'causalWins' in R: |
| install.packages('causalWins', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a94b78aee9. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 177 | ||
| source / vignettes | OK | 208 | ||
| linux-release-x86_64 | OK | 135 | ||
| wasm-release | OK | 142 |
Exports:drf_win_ratioeif_win_rationn_win_ratio
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatachkcliclustercolorspacecowplotcpp11crosstalkdata.tableDerivDiceKrigingdigestdoBydplyrdrfDTellipseemmeansestimabilityevaluateFactoMineRfarverfastDummiesfastmapflashClustfontawesomeforecastFormulafracdifffsgenericsggplot2ggrepelgluegrfgtablehighrhtmltoolshtmlwidgetsirlbaisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4lmtestmagrittrMASSMatchItMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmvtnormnlmenloptrnnetnumDerivotelpbkrtestpillarpkgconfigpromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppProgressRdpackreformulasrlangrmarkdownS7sandwichsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Win/Loss Ratios with Distributional Random Forests | drf_win_ratio |
| Win/Loss Ratios with Efficient Influence Functions | eif_win_ratio |
| Win/Loss Ratios with Nearest Neighbor Matching | nn_win_ratio |