Package: bayesROE 0.2-1
bayesROE: Bayesian Regions of Evidence
Computation and visualization of Bayesian Regions of Evidence to systematically evaluate the sensitivity of a superiority or non-inferiority claim against any prior assumption of its assessors. Methodological details are elaborated by Hoefler and Miller (<https://osf.io/jxnsv>). Besides generic functions, the package also provides an intuitive 'Shiny' application, that can be run in local R environments.
Authors:
bayesROE_0.2-1.tar.gz
bayesROE_0.2-1.zip(r-4.5)bayesROE_0.2-1.zip(r-4.4)bayesROE_0.2-1.zip(r-4.3)
bayesROE_0.2-1.tgz(r-4.4-any)bayesROE_0.2-1.tgz(r-4.3-any)
bayesROE_0.2-1.tar.gz(r-4.5-noble)bayesROE_0.2-1.tar.gz(r-4.4-noble)
bayesROE_0.2-1.tgz(r-4.4-emscripten)bayesROE_0.2-1.tgz(r-4.3-emscripten)
bayesROE.pdf |bayesROE.html✨
bayesROE/json (API)
# Install 'bayesROE' in R: |
install.packages('bayesROE', repos = c('https://waidschrat.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/waidschrat/bayesroe/issues
Last updated 7 months agofrom:af76f036fe. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-win | OK | Nov 16 2024 |
R-4.5-linux | OK | Nov 16 2024 |
R-4.4-win | OK | Nov 16 2024 |
R-4.4-mac | OK | Nov 16 2024 |
R-4.3-win | OK | Nov 16 2024 |
R-4.3-mac | OK | Nov 16 2024 |
Exports:rasterROEribbonROErun_appshinyROE
Dependencies:attemptbase64encbslibcachemclicolorspacecolourpickercommonmarkconfigcrayondigestevaluatefansifarverfastmapfontawesomefsggplot2gluegolemgtableherehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimeminiUImunsellnlmepillarpkgconfigpromisesR6rappdirsRColorBrewerRcpprlangrmarkdownrprojrootsassscalesshinyshinyBSshinyjssourcetoolstibbletinytexutf8vctrsviridisLitewithrxfunxtableyaml