Package: fbst 2.2

fbst: The Full Bayesian Evidence Test, Full Bayesian Significance Test and the e-Value

Provides access to a range of functions for computing and visualizing the Full Bayesian Significance Test (FBST) and the e-value for testing a sharp hypothesis against its alternative, and the Full Bayesian Evidence Test (FBET) and the (generalized) Bayesian evidence value for testing a composite (or interval) hypothesis against its alternative. The methods are widely applicable as long as a posterior MCMC sample is available.

Authors:Riko Kelter

fbst_2.2.tar.gz
fbst_2.2.zip(r-4.7)fbst_2.2.zip(r-4.6)fbst_2.2.zip(r-4.5)
fbst_2.2.tgz(r-4.6-any)fbst_2.2.tgz(r-4.5-any)
fbst_2.2.tar.gz(r-4.7-any)fbst_2.2.tar.gz(r-4.6-any)
fbst_2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fbst/json (API)

# Install 'fbst' in R:
install.packages('fbst', repos = c('https://rikoke.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.95 score 1 stars 1 packages 6 scripts 321 downloads 11 exports 130 dependencies

Last updated from:dcad708279. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK361
source / vignettesOK298
linux-release-x86_64OK330
macos-release-arm64OK254
macos-oldrel-arm64OK351
windows-develOK234
windows-releaseOK230
windows-oldrelOK225
wasm-releaseOK176

Exports:bdmfbetfbstnames.fbetnames.fbstplot.fbetplot.fbstshow.fbetshow.fbstsummary.fbetsummary.fbst

Dependencies:abindbackportsbase64encbayesplotbayestestRBHbootbslibcachemcallrcheckmateclicolourpickercommonmarkcpp11crosstalkcubaturedatawizarddescdigestdistributionaldplyrDTdygraphsevaluatefarverfastmapFNNfontawesomefsgenericsggplot2ggridgesgluegridExtragtablegtoolshighrhtmltoolshtmlwidgetshttpuvigraphinlineinsightisobandjquerylibjsonlitekernlabKernSmoothknitrkslabelinglaterlatticelazyevallifecyclelitedownlme4loomagrittrmarkdownMASSMatrixmatrixStatsmclustmemoisemgcvmimeminiUIminqamulticoolmvtnormnlmenloptrnumDerivotelpillarpkgbuildpkgconfigplyrposteriorpracmaprocessxpromisespspurrrQuickJSRR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreformulasreshape2rlangrmarkdownrstanrstanarmrstantoolsS7sassscalesshinyshinyjsshinystanshinythemessourcetoolsStanHeadersstringistringrsurvivaltensorAthreejstibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunxtablextsyamlzoo

Bayesian hypothesis testing with the Full Bayesian Evidence Test

Riko Kelter

Rendered fromfbet.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2022-11-10
Started: 2021-04-12

Precise Bayesian hypothesis testing with the Full Bayesian Significance Test

Riko Kelter

Rendered fromfbst.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2022-09-23
Started: 2021-04-12

Precise Bayesian hypothesis testing with the Full Bayesian Significance Test in multidimensional posteriors

Riko Kelter

Rendered fromtwodimfbst.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2022-09-23
Started: 2022-09-23