CRAN/E | BayesOrdDesign

BayesOrdDesign

Bayesian Group Sequential Design for Ordinal Data

Installation

About

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) .

Key Metrics

Version 0.1.1
R ≥ 2.10
Published 2022-05-21 706 days ago
Needs compilation? no
License GPL-2
CRAN checks BayesOrdDesign results

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Maintainer

Maintainer

Chengxue Zhong

chengxue.zhong@uth.tmc.edu

Authors

Chengxue Zhong

aut / cre

Haitao Pan

aut

Hongyu Miao

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BayesOrdDesign archive

Depends

R ≥ 2.10

Imports

ordinal
schoolmath
tidyverse
fda
coda
gsDesign
superdiag
ggplot2
madness
rjmcmc
R2jags
rjags
methods
DescTools

Suggests

testthat ≥ 3.0.0