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The proposed group-sequential trial design is based on Bayesian methods for ordinal endpoints, including three methods, the proportional-odds-model (PO)-based, non-proportional-odds-model (NPO)-based, and PO/NPO switch-model-based designs, which makes our proposed methods generic to be able to deal with various scenarios. Richard J. Barker, William A. Link (2013) <doi:10.1080/00031305.2013.791644>. Thomas A. Murray, Ying Yuan, Peter F. Thall, Joan H. Elizondo, Wayne L.Hofstetter (2018) <doi:10.1111/biom.12842>. Chengxue Zhong, Haitao Pan, Hongyu Miao (2021) <doi:10.48550/arXiv.2108.06568>.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.3.0) |
| Imports: | ordinal, schoolmath, coda, gsDesign, superdiag, ggplot2, madness, rjmcmc, R2jags, rjags, methods |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2022-11-14 |
| DOI: | 10.32614/CRAN.package.BayesOrdDesign |
| Author: | Chengxue Zhong [aut, cre], Haitao Pan [aut], Hongyu Miao [aut] |
| Maintainer: | Chengxue Zhong <czhong9106 at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | BayesOrdDesign results |
| Reference manual: | BayesOrdDesign.pdf |
| Package source: | BayesOrdDesign_0.1.2.tar.gz |
| Windows binaries: | r-devel: BayesOrdDesign_0.1.2.zip, r-release: BayesOrdDesign_0.1.2.zip, r-oldrel: BayesOrdDesign_0.1.2.zip |
| macOS binaries: | r-release (arm64): BayesOrdDesign_0.1.2.tgz, r-oldrel (arm64): BayesOrdDesign_0.1.2.tgz, r-release (x86_64): BayesOrdDesign_0.1.2.tgz, r-oldrel (x86_64): BayesOrdDesign_0.1.2.tgz |
| Old sources: | BayesOrdDesign archive |
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