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BayesOrdDesign  

Bayesian Group Sequential Design for Ordinal Data
View on CRAN: Click here


Download and install BayesOrdDesign package within the R console
Install from CRAN:
install.packages("BayesOrdDesign")

Install from Github:
library("remotes")
install_github("cran/BayesOrdDesign")

Install by package version:
library("remotes")
install_version("BayesOrdDesign", "0.1.2")



Attach the package and use:
library("BayesOrdDesign")
Maintained by
Chengxue Zhong
[Scholar Profile | Author Map]
First Published: 2021-09-21
Latest Update: 2022-11-14
Description:
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) . Thomas A. Murray, Ying Yuan, Peter F. Thall, Joan H. Elizondo, Wayne L.Hofstetter (2018) . Chengxue Zhong, Haitao Pan, Hongyu Miao (2021) .
How to cite:
Chengxue Zhong (2021). BayesOrdDesign: Bayesian Group Sequential Design for Ordinal Data. R package version 0.1.2, https://cran.r-project.org/web/packages/BayesOrdDesign. Accessed 30 Apr. 2025.
Previous versions and publish date:
0.1.0 (2021-09-21 15:40), 0.1.1 (2022-05-22 01:00)
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Complete documentation for BayesOrdDesign
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