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:

Reference manual:

winnify.html , winnify.pdf

Downloads:

Package source:	winnify_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: winnify_1.0.0.zip, r-oldrel: winnify_1.0.0.zip
macOS binaries:	r-release (arm64): winnify_1.0.0.tgz, r-oldrel (arm64): winnify_1.0.0.tgz, r-release (x86_64): winnify_1.0.0.tgz, r-oldrel (x86_64): winnify_1.0.0.tgz

Linking:

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