Package: winnify 1.0.0
Hannah Johns
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.
Authors:
winnify_1.0.0.tar.gz
winnify_1.0.0.zip(r-4.7-any)winnify_1.0.0.zip(r-4.6-any)
winnify_1.0.0.tar.gz(r-4.7-any)winnify_1.0.0.tar.gz(r-4.6-any)
winnify_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
winnify/json (API)
| # Install 'winnify' in R: |
| install.packages('winnify', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- neuro_improvement - Synthetic data showing modified Rankin Scale and neurological improvement
- remapcap - A reconstructed dataset from the REMAP-CAP clinical trial by Angus et al.
- tte_covariates - Simulated time-varying covariates
- tte_longform - Simulated time to event data in long form
- tte_outcomes - Simulated time to event data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:d964444352. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 172 | ||
| source / vignettes | OK | 247 | ||
| linux-release | OK | 171 | ||
| windows-devel | OK | 163 | ||
| windows-release | OK | 154 | ||
| wasm-release | OK | 158 |
Exports:as_winnifyas_winnify.data.frameas_winnify.WinRatioplot.Winnifyranksw_armw_idw_iptww_stratumw_timewinnifywins
Dependencies:abindADGofTestbackportsbootbroomcarcarDatacliclustercodetoolscolorspacecopulacorrplotcowplotcpp11crayonDerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragslgtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrmvtnormnlmenloptrnnetnumDerivpatchworkpbkrtestpcaPPpillarpkgconfigplyrpolynompsplinepurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreshape2rlangrstatixS7scalessloopSparseMstablediststringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisviridisLiteWINSwithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Convert other objects to a Winnify object | as_winnify as_winnify.data.frame as_winnify.WinRatio |
| Synthetic data showing modified Rankin Scale and neurological improvement | neuro_improvement |
| Wrapper function for rank-based statistical methods | ranks |
| A reconstructed dataset from the REMAP-CAP clinical trial by Angus et al. (2020) | remapcap |
| Simulated time-varying covariates | tte_covariates |
| Simulated time to event data in long form | tte_longform |
| Simulated time to event data | tte_outcomes |
| Identify group variable | w_arm |
| Identify patient ID variable | w_id |
| Identify IPTW variable | w_iptw |
| Identify stratum variable | w_stratum |
| Identify time variable | w_time |
| Better Prioritised Outcomes Analyses | plot.Winnify winnify |
| Wrapper for the win.stat() function from the WINS package | wins |