Simulating Oncology Trials using an Illness-Death Model R package simIDM version 0.1.1 Based on the illness-death model a large number of clinical trials with oncology endpoints progression-free survival (PFS) and overall survival (OS) can be simulated, see Meller, Beyersmann and Rufibach (2019) <doi:10.1002/sim.8295>. The simulation set-up allows for random and event-driven censoring, an arbitrary number of treatment arms, staggered study entry and drop-out. Exponentially, Weibull and piecewise exponentially distributed survival times can be generated. The correlation between PFS and OS can be calculated. Software Depends: R (>= 3.6) Imports: checkmate, furrr, future, mstate, parallelly, stats, survival Suggests: coxphw, knitr, mvna, prodlim, rmarkdown, rpact, testthat (>= 3.0.0) Daniel Sabanés Bové <daniel.sabanes_bove@rconis.com> Comprehensive R Archive Network (CRAN) Alexandra Erdmann [aut], Daniel Sabanés Bové [aut, cre], Kaspar Rufibach [aut], Holger Löwe [aut], F. Hoffmann-La Roche AG [cph, fnd], University of Ulm [cph, fnd] Apache License 2.0 2026-07-08 application/tgz https://CRAN.R-project.org/package=simIDM doi:10.32614/CRAN.package.simIDM en-US