Bayesian Two-Stage Design with Window-Cohort and Controlled Roll-on for Time-to-Event Estimand
Overview
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.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK5 OK2026-04-11
Documentation
- Help pages
- 9
- Examples that run
- 56%5 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 84%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing WCRBayesDesign adds 3 packages (0 with compiled code, 541 KB of source tarballs). Heaviest: iterators 293 KB, doParallel 160 KB, foreach 88 KB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- 1.0.1Latest2026-04-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-10
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.4.0
- Download size
- 26 KB
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