BayesOrdDesign: Bayesian Group Sequential Design for Ordinal Data

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

Documentation:

Reference manual:

BayesOrdDesign.pdf

Downloads:

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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