winnify: Visual Summaries and Wrappers for Estimating the Win Ratio and
Related Measures
Facilitates analysis of Generalised Pairwise Comparisons with Prioritised Outcomes
(e.g. Win Ratio, Win Odds). Includes a wrapper function that enables rank-based
Desirability of Outcome Ranking analyses with any existing ordinal analysis package
(e.g. probabilistic index models provided by R package ‘pim’) plus automated input
processing and a formula-based interface for estimating win statistics
(using R package ‘WINS’) without needing to restructure or rename the data.
In both cases, supports improved interpretation of prioritised outcomes analyses
using the approach proposed by Johns et al. (2026) <doi:10.1177/17474930261475853> where
the treatment effect is estimated separately for each outcome plus cumulatively
as they are added to the outcome prioritisation. The contribution of each outcome
to the overall effect size is then visualised with a supplied plotting function.
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
ggplot2, RColorBrewer, patchwork, rlang, WINS, methods, sloop |
| Suggests: |
genodds, pim, MASS, testthat (≥ 3.0.0), WinRatio, survival |
| Published: |
2026-11-13 |
| DOI: |
10.32614/CRAN.package.winnify (may not be active yet) |
| Author: |
Hannah Johns 
[aut, cre],
Nathalie Launder
[aut],
Leonid Churilov
[aut] |
| Maintainer: |
Hannah Johns <dr.hannah.johns at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
winnify results |
Documentation:
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