Package: BayesOrdDesign
Type: Package
Title: Bayesian Group Sequential Design for Ordinal Data
Version: 0.1.0
Authors@R: c(person("Chengxue", "Zhong", role = c("aut", "cre"),
                     email = "chengxue.zhong@uth.tmc.edu"),
             person("Haitao", "Pan", role = "aut"),
             person("Hongyu", "Miao", role = "aut"))
Maintainer: Chengxue Zhong <chengxue.zhong@uth.tmc.edu>
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) <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) <arXiv:2108.06568>.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: ordinal, schoolmath, tidyverse, fda, coda, gsDesign,
        superdiag, ggplot2, madness, rjmcmc, R2jags, rjags, methods
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2021-09-20 18:22:27 UTC; czhong
Author: Chengxue Zhong [aut, cre],
  Haitao Pan [aut],
  Hongyu Miao [aut]
Repository: CRAN
Date/Publication: 2021-09-21 13:40:02 UTC
Built: R 4.0.2; ; 2021-09-22 11:43:20 UTC; unix
