Trial Design in Respiratory Disease Based on the Win Probability R package ISPYARDSWinProbabilityGSDesign version 0.1.0 Provides analysis results and trial simulation functions for the I-SPY Acute Respiratory Disease Syndrome trial based on composite ranked outcomes. The composite ranked outcome is a hierarchical outcome where trial participants are ranked first by 28 day mortality, then ventilator days, then by advanced respiratory support days. A Bayesian win probability approach is used for analysis. Trial design options include group sequential looks for safety, superiority, futility, and adjustment of randomization probabilities. Software Depends: R (>= 3.5.0) Imports: DFBA Andrew G Chapple <a.chapple@qlhc.org> Comprehensive R Archive Network (CRAN) Andrew G Chapple [aut, cre], Andrew Chapple [ctb], Peter Norwood [ctb], Martin Eklund [ctb], Derek Russell [ctb], Phil Beineke [ctb], Quantum Leap Healthcare Collaborative [ctb, cph] GPL-2 2025-09-15 application/tgz https://CRAN.R-project.org/package=ISPYARDSWinProbabilityGSDesign doi:10.32614/CRAN.package.ISPYARDSWinProbabilityGSDesign