simtte
Simulate Time-to-Event Data Using Weibull and Spline Models
Simulates time-to-event (survival) datasets for clinical trial design and analysis. Supports Weibull and flexible M-spline baseline hazard models via the 'mrgsolve' ordinary differential equation solver backend. Implements inverse transform sampling from cumulative hazard functions to generate event times. 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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | simtte_1.0.1.tar.gz |
56.8 KiB |
1.0.1 |
rolling linux/noble R-4.5 | simtte_1.0.1.tar.gz |
56.8 KiB |
1.0.1 |
rolling source/ R- | simtte_1.0.1.tar.gz |
29.9 KiB |
1.0.1 |
latest linux/jammy R-4.5 | simtte_1.0.1.tar.gz |
56.8 KiB |
1.0.1 |
latest linux/noble R-4.5 | simtte_1.0.1.tar.gz |
56.8 KiB |
1.0.1 |
latest source/ R- | simtte_1.0.1.tar.gz |
29.9 KiB |
1.0.1 |
2026-04-23 source/ R- | simtte_1.0.1.tar.gz |
0 B |