Parametric Survival Model Selection for Decision-Analytic Models R package PERSUADE version 0.1.2 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. Software Depends: R (>= 4.1.0) Imports: data.table, flexsurv, flexsurvcure, ggplot2, muhaz, rmarkdown, rms, sft, stats, survival, survminer Suggests: kableExtra, knitr, testthat (>= 3.1.2), utils Bram Ramaekers <bram.ramaekers@mumc.nl> Comprehensive R Archive Network (CRAN) Bram Ramaekers [aut, cre, ths] (ORCID: <https://orcid.org/0000-0001-5785-9228>), Xavier Pouwels [ctb] (ORCID: <https://orcid.org/0000-0003-3563-0013>), Sabine Grimm [ths] (ORCID: <https://orcid.org/0000-0002-2175-7999>), Manuela Joore [ths] (ORCID: <https://orcid.org/0000-0002-5649-6768>) GPL (>= 3) 2025-10-09 application/tgz https://CRAN.R-project.org/package=PERSUADE doi:10.32614/CRAN.package.PERSUADE