https://bram-r.r-universe.devRecent package updates in bram-rR-universehttps://github.com/bram-r.pnghttps://bram-r.r-universe.devMon, 02 Nov 2026 16:31:58 GMTbram.ramaekers@mumc.nl (Bram Ramaekers)Provides a standardized framework to support the selection and evaluation of parametric survival models for time-to-event data. Includes tools for visualizing survival data, checking proportional hazards assumptions (Grambsch and Therneau, 1994, <doi:10.1093/biomet/81.3.515>), comparing parametric (Ishak and colleagues, 2013, <doi:10.1007/s40273-013-0064-3>), spline (Royston and Parmar, 2002, <doi:10.1002/sim.1203>) and cure models, examining hazard functions, and evaluating model extrapolation. Methods are consistent with recommendations in the NICE Decision Support Unit Technical Support Documents (14 and 21 <https://sheffield.ac.uk/nice-dsu/tsds/survival-analysis>). Results are structured to facilitate integration into decision-analytic models, and reports can be generated with 'rmarkdown'. The package builds on existing tools including 'flexsurv' (Jackson, 2016, <doi:10.18637/jss.v070.i08>)) and 'flexsurvcure' for estimating cure models.https://github.com/r-universe/bram-r/actions/runs/41531628370Mon, 02 Nov 2026 16:31:58 GMTPERSUADE0.1.2successhttps://bram-r.r-universe.devhttps://github.com/bram-r/persuadePERSUADE_introduction.RmdPERSUADE_introduction.htmlIntroduction to PERSUADE2025-09-09 07:13:262026-10-27 12:30:29