https://dtwilson.r-universe.devRecent package updates in dtwilsonR-universehttps://github.com/dtwilson.pnghttps://dtwilson.r-universe.devFri, 30 Oct 2026 15:04:59 GMTd.t.wilson@leeds.ac.uk (Duncan Wilson)Find optimal decisions rules for guiding progression decisions following a pilot trial, assuming a hierarchical recruitment model. Estimate the time until the main trial recruits to target, given the recruitment data observed in the pilot.https://github.com/r-universe/lictr/actions/runs/41086349773Fri, 30 Oct 2026 15:04:59 GMTfahb1.0.1.9000successhttps://lictr.r-universe.devhttps://github.com/lictr/fahbfahb.Rmdfahb.htmlfahb2026-04-14 14:59:232026-04-21 14:27:39d.t.wilson@leeds.ac.uk (Duncan Wilson)Find the optimal decision rules (AKA progression criteria) and sample size for clinical trials with three (stop/pause/go) outcomes. Both binary and continuous endpoints can be accommodated, as can cases where an adjustment is planned following a pause outcome. For more details see Wilson et al. (2024) <doi:10.1186/s12874-024-02351-x>.https://github.com/r-universe/lictr/actions/runs/40313719048Tue, 21 Apr 2026 15:46:22 GMTtout1.0.3.9000successhttps://lictr.r-universe.devhttps://github.com/lictr/touttout.Rmdtout.htmlThree-outcome clinical trial design (tout)2023-09-06 10:31:442025-08-15 09:55:35