Package: BayesOrdDesign 0.1.2

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) <arxiv:2108.06568>.

Authors:Chengxue Zhong [aut, cre], Haitao Pan [aut], Hongyu Miao [aut]

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BayesOrdDesign.pdf |BayesOrdDesign.html
BayesOrdDesign/json (API)

# Install 'BayesOrdDesign' in R:
install.packages('BayesOrdDesign', repos = c('https://czhong9106.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • example.data - Clinical ordinal endpoints and treatments assignment for 200 patient

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 264 downloads 8 exports 89 dependencies

Last updated 2 years agofrom:481af78f02. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 17 2024
R-4.5-winOKOct 17 2024
R-4.5-linuxOKOct 17 2024
R-4.4-winOKOct 17 2024
R-4.4-macOKOct 17 2024
R-4.3-winOKOct 17 2024
R-4.3-macOKOct 17 2024

Exports:Bayes_ordget_oc_NPOget_oc_POget_oc_Switchrjmcmc_funcss_nposs_poss_switch

Dependencies:abindbase64encbigDbitopsbootbslibcachemclicodacolorspacecommonmarkcpp11curldigestdplyrevaluateexpmfansifarverfastmapfontawesomefsgenericsggplot2gluegsDesigngtgtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonlitejuicyjuiceknitrlabelinglatticelifecyclemadnessmagrittrmarkdownMASSMatrixmatrixcalcmemoisemgcvmimemunsellmvtnormnlmenumDerivordinalpillarpkgconfigpurrrR2jagsr2rtfR2WinBUGSR6rappdirsRColorBrewerRcppreactablereactRrjagsrjmcmcrlangrmarkdownsassscalesschoolmathstringistringrsuperdiagtibbletidyrtidyselecttinytexucminfutf8V8vctrsviridisLitewithrxfunxml2xtableyaml