WCRBayesDesign
Bayesian Two-Stage Design with Window-Cohort and Controlled Roll-on for Time-to-Event Estimand
Calibrates Bayesian two-stage designs for single-arm phase II trials with time-to-event endpoints using a window-cohort with controlled roll-on. Interim monitoring is anchored to a locked interim cohort and a pre-specified follow-up requirement, so analysis timing remains predictable while preserving follow-up maturity. The package searches feasible interim rules, optimizes final sample size and decision thresholds, evaluates operating characteristics by Monte Carlo simulation, and supports exponential, Weibull, log-normal, log-logistic, and user-defined baseline survival models. Related published foundations include Simon (1989) <doi:10.1016/0197-2456(89)90015-9> and Cotterill and Whitehead (2015) <doi:10.1002/sim.6426>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | WCRBayesDesign_1.0.1.tar.gz |
93.2 KiB |
1.0.1 |
rolling linux/noble R-4.5 | WCRBayesDesign_1.0.1.tar.gz |
93.1 KiB |
1.0.1 |
rolling source/ R- | WCRBayesDesign_1.0.1.tar.gz |
25.6 KiB |
1.0.1 |
latest linux/jammy R-4.5 | WCRBayesDesign_1.0.1.tar.gz |
93.2 KiB |
1.0.1 |
latest linux/noble R-4.5 | WCRBayesDesign_1.0.1.tar.gz |
93.1 KiB |
1.0.1 |
latest source/ R- | WCRBayesDesign_1.0.1.tar.gz |
25.6 KiB |
1.0.1 |
2026-04-26 source/ R- | WCRBayesDesign_1.0.1.tar.gz |
25.6 KiB |
1.0.1 |
2026-04-23 source/ R- | WCRBayesDesign_1.0.1.tar.gz |
25.6 KiB |