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:
BayesOrdDesign_0.1.2.tar.gz
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BayesOrdDesign_0.1.2.tgz(r-4.4-any)BayesOrdDesign_0.1.2.tgz(r-4.3-any)
BayesOrdDesign_0.1.2.tar.gz(r-4.5-noble)BayesOrdDesign_0.1.2.tar.gz(r-4.4-noble)
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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')) |
- example.data - Clinical ordinal endpoints and treatments assignment for 200 patient
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:481af78f02. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 17 2024 |
R-4.5-win | OK | Oct 17 2024 |
R-4.5-linux | OK | Oct 17 2024 |
R-4.4-win | OK | Oct 17 2024 |
R-4.4-mac | OK | Oct 17 2024 |
R-4.3-win | OK | Oct 17 2024 |
R-4.3-mac | OK | Oct 17 2024 |
Exports:Bayes_ordget_oc_NPOget_oc_POget_oc_Switchrjmcmc_funcss_nposs_poss_switch
Dependencies:abindbase64encbigDbitopsbootbslibcachemclicodacolorspacecommonmarkcpp11curldigestdplyrevaluateexpmfansifarverfastmapfontawesomefsgenericsggplot2gluegsDesigngtgtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonlitejuicyjuiceknitrlabelinglatticelifecyclemadnessmagrittrmarkdownMASSMatrixmatrixcalcmemoisemgcvmimemunsellmvtnormnlmenumDerivordinalpillarpkgconfigpurrrR2jagsr2rtfR2WinBUGSR6rappdirsRColorBrewerRcppreactablereactRrjagsrjmcmcrlangrmarkdownsassscalesschoolmathstringistringrsuperdiagtibbletidyrtidyselecttinytexucminfutf8V8vctrsviridisLitewithrxfunxml2xtableyaml