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:Robert Miller [cre, aut]

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'))

Peer review:

Bug tracker:https://github.com/waidschrat/bayesroe/issues

On CRAN:

2.70 score 2 scripts 248 downloads 4 exports 68 dependencies

Last updated 7 months agofrom:af76f036fe. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

Exports:rasterROEribbonROErun_appshinyROE

Dependencies:attemptbase64encbslibcachemclicolorspacecolourpickercommonmarkconfigcrayondigestevaluatefansifarverfastmapfontawesomefsggplot2gluegolemgtableherehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimeminiUImunsellnlmepillarpkgconfigpromisesR6rappdirsRColorBrewerRcpprlangrmarkdownrprojrootsassscalesshinyshinyBSshinyjssourcetoolstibbletinytexutf8vctrsviridisLitewithrxfunxtableyaml