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.

Version:	2.2
Depends:	cubature, ks, viridis, rstanarm
Imports:	bayestestR, methods
Suggests:	BayesFactor, knitr, rmarkdown
Published:	2024-02-15
DOI:	10.32614/CRAN.package.fbst
Author:	Riko Kelter
Maintainer:	Riko Kelter <riko_k at gmx.de>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	fbst results

Documentation:

Reference manual:	fbst.html , fbst.pdf
Vignettes:	Bayesian hypothesis testing with the Full Bayesian Evidence Test (source, R code) Precise Bayesian hypothesis testing with the Full Bayesian Significance Test (source, R code) Precise Bayesian hypothesis testing with the Full Bayesian Significance Test in multidimensional posteriors (source, R code)

Downloads:

Package source:	fbst_2.2.tar.gz
Windows binaries:	r-devel: fbst_2.2.zip, r-release: fbst_2.2.zip, r-oldrel: fbst_2.2.zip
macOS binaries:	r-release (arm64): fbst_2.2.tgz, r-oldrel (arm64): fbst_2.2.tgz, r-release (x86_64): fbst_2.2.tgz, r-oldrel (x86_64): fbst_2.2.tgz
Old sources:	fbst archive

Reverse dependencies:

Reverse imports:

brada

Linking:

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