https://carlostraynorqcp.r-universe.devRecent package updates in carlostraynorqcpR-universehttps://github.com/carlostraynorqcp.pnghttps://carlostraynorqcp.r-universe.devFri, 30 Oct 2026 22:43:53 GMTcarlos.traynor.qcp@gmail.com (Carlos Traynor)Simulates time-to-event (survival) datasets for clinical trial design and analysis, including datasets driven by a joint pharmacokinetic/pharmacodynamic (PK/PD) model solved via the 'mrgsolve' backend. Event times can be located directly during ODE integration ('in-solver' event detection) using a library of built-in PK/PD hazard models or a user-supplied 'mrgsolve' model converted for this purpose, or generated by inverse transform sampling from a closed-form Weibull or flexible M-spline baseline hazard, or from any externally simulated survival trajectory. See Bender et al. (2005) <doi:10.1002/sim.2059> for the inverse transform sampling methodology and Royston and Parmar (2002) <doi:10.1002/sim.1203> for flexible parametric survival models.https://github.com/r-universe/csetraynor/actions/runs/41154445008Fri, 30 Oct 2026 22:43:53 GMTsimtte1.1.0successhttps://csetraynor.r-universe.devhttps://github.com/csetraynor/simtteadvanced-usage.Rmdadvanced-usage.htmlAdvanced Simulation Scenarios2026-05-15 21:51:232026-09-13 17:11:46bring-your-own-model.Rmdbring-your-own-model.htmlBring Your Own PK/PD Model2026-09-13 17:11:462026-10-18 21:09:11censoring-and-assessment.Rmdcensoring-and-assessment.htmlCensoring and Realistic Assessment Schedules2026-09-13 17:11:462026-09-13 19:44:48introduction.Rmdintroduction.htmlGetting Started with simtte2026-05-15 21:51:232026-09-13 17:11:46pkpd-time-to-event.Rmdpkpd-time-to-event.htmlJoint PK/PD and Time-to-Event Simulation2026-09-13 17:11:462026-10-18 21:09:11