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>.

Version:	1.0.1
Depends:	R (≥ 4.4.0)
Imports:	foreach, doParallel, stats, parallel
Suggests:	devtools, roxygen2, knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-04-10
DOI:	10.32614/CRAN.package.WCRBayesDesign (may not be active yet)
Author:	Zhongheng Cai [aut, cre], Haitao Pan [aut]
Maintainer:	Zhongheng Cai <zhonghengcai123 at gmail.com>
License:	GPL-3
NeedsCompilation:	no
Materials:	README
CRAN checks:	WCRBayesDesign results

Documentation:

Reference manual:

WCRBayesDesign.html , WCRBayesDesign.pdf

Downloads:

Package source:	WCRBayesDesign_1.0.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: WCRBayesDesign_1.0.1.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): WCRBayesDesign_1.0.1.tgz, r-oldrel (x86_64): WCRBayesDesign_1.0.1.tgz

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