Package: regrap 1.0.1
Jiangtao Gou
regrap: Reverse Graphical Approaches
The graphical approach is proposed as a general framework for clinical trial designs involving multiple hypotheses, where decisions are made only based on the observed marginal p-values. A reverse graphical approach starts from a set of singleton graphs, and gradually add vertices into graphs until rejection of a set of hypotheses is made. See Gou, J. (2020). Reverse graphical approaches for multiple test procedures. Technical Report.
Authors:
regrap_1.0.1.tar.gz
regrap_1.0.1.tar.gz(r-4.7-any)regrap_1.0.1.tar.gz(r-4.6-any)
regrap_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
regrap/json (API)
| # Install 'regrap' in R: |
| install.packages('regrap', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:999fa790c8. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 96 | ||
| source / vignettes | OK | 157 | ||
| linux-release-x86_64 | OK | 102 | ||
| wasm-release | OK | 97 |
Exports:checkConditionWconditionCheckga2hga3hgraphUpdategraphUpdateOnerandomGraphrga2hrga2pwrrga3h
Dependencies:mvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Condition check for weak FWER control in RGA | checkConditionW |
| Condition check for strong FWER control in RGA | conditionCheck |
| Graphical approach for two hypotheses | ga2h |
| Graphical approach for three hypotheses | ga3h |
| Graph Update | graphUpdate |
| Single Step Graph Update | graphUpdateOne |
| Generate a Random Graph | randomGraph |
| reverse graphical approach for two hypotheses | rga2h |
| Power Analysis for Graphical Approaches and Reverse Graphical Approaches with Two Hypotheses | rga2pwr |
| reverse graphical approach for three hypotheses | rga3h |