Implements Bayesian hybrid designs that incorporate historical control data into a current clinical trial. The package uses a dynamic power prior method to determine the degree of borrowing from the historical data, creating a 'hybrid' control arm. This approach is primarily designed for studies with a binary primary endpoint, such as the overall response rate (ORR). Functions are provided for design calibration, sample size calculation, power evaluation, and final analysis. Additionally, it includes functions adapted from the 'SAMprior' package (v1.1.1) by Yang et al. (2023) <https://academic.oup.com/biometrics/article/79/4/2857/7587575> to support the Self-Adapting Mixture (SAM) prior framework for comparison.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1) |
| Imports: | assertthat, checkmate, doParallel, foreach, ggplot2, Metrics, parallel, RBesT |
| Suggests: | broom, knitr, purrr, rmarkdown, rstanarm, scales, testthat (≥ 3.0.0), tidyr, tools |
| Published: | 2026-02-06 |
| DOI: | 10.32614/CRAN.package.BayesianHybridDesign |
| Author: | Philip He [aut, cph], Zhaohua Lu [aut, cre, cph] |
| Maintainer: | Zhaohua Lu <zhaohua.lu at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | BayesianHybridDesign results [issues need fixing before 2026-03-30] |
| Reference manual: | BayesianHybridDesign.html , BayesianHybridDesign.pdf |
| Package source: | BayesianHybridDesign_0.1.0.tar.gz |
| Windows binaries: | r-devel: BayesianHybridDesign_0.1.0.zip, r-release: BayesianHybridDesign_0.1.0.zip, r-oldrel: BayesianHybridDesign_0.1.0.zip |
| macOS binaries: | r-release (arm64): BayesianHybridDesign_0.1.0.tgz, r-oldrel (arm64): BayesianHybridDesign_0.1.0.tgz, r-release (x86_64): BayesianHybridDesign_0.1.0.tgz, r-oldrel (x86_64): BayesianHybridDesign_0.1.0.tgz |
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