Package: bacistool 1.0.0
bacistool: Bayesian Classification and Information Sharing (BaCIS) Tool for the Design of Multi-Group Phase II Clinical Trials
Provides the design of multi-group phase II clinical trials with binary outcomes using the hierarchical Bayesian classification and information sharing (BaCIS) model. Subgroups are classified into two clusters on the basis of their outcomes mimicking the hypothesis testing framework. Subsequently, information sharing takes place within subgroups in the same cluster, rather than across all subgroups. This method can be applied to the design and analysis of multi-group clinical trials with binary outcomes. Reference: Nan Chen and J. Jack Lee (2019) <doi:10.1002/bimj.201700275>.
Authors:
bacistool_1.0.0.tar.gz
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bacistool_1.0.0.tgz(r-4.6-any)bacistool_1.0.0.tgz(r-4.5-any)
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bacistool_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bacistool/json (API)
| # Install 'bacistool' in R: |
| install.packages('bacistool', repos = c('https://jjacklee116.r-universe.dev', 'https://cloud.r-project.org')) |
- jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
- c++– GNU Standard C++ Library v3
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a7a336e0ee. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 100 | ||
| source / vignettes | OK | 140 | ||
| linux-release-x86_64 | OK | 133 | ||
| macos-release-arm64 | OK | 166 | ||
| macos-oldrel-arm64 | OK | 153 | ||
| windows-devel | OK | 74 | ||
| windows-release | OK | 72 | ||
| windows-oldrel | OK | 71 | ||
| wasm-release | OK | 89 |
Exports:bacisCheckDICbacisClassificationbacisOneTrialbacisPlotClassificationbacisSubgroupPosteriorbacisThetaPosterior
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute the DIC value for the classification model. | bacisCheckDIC |
| Conduct classification for subgroups. | bacisClassification |
| Running one trial computation based on the BaCIS model. | bacisOneTrial |
| Plot the posterior density of theta in the classification model. | bacisPlotClassification |
| Compute the posterior distribution of response rates of subgroups using the BaCIS method. | bacisSubgroupPosterior |
| Compute the posterior distribution of theta in the classification model. | bacisThetaPosterior |
