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: 1.9
Depends: cubature, ks, viridis, rstanarm
Imports: bayestestR, methods
Suggests: BayesFactor, knitr, rmarkdown
Published: 2022-09-23
Author: Riko Kelter
Maintainer: Riko Kelter <riko.kelter at uni-siegen.de>
License: GPL-3
NeedsCompilation: no
CRAN checks: fbst results

Documentation:

Reference manual: fbst.pdf
Vignettes: Bayesian hypothesis testing with the Full Bayesian Evidence Test
Precise Bayesian hypothesis testing with the Full Bayesian Significance Test
Precise Bayesian hypothesis testing with the Full Bayesian Significance Test in multidimensional posteriors

Downloads:

Package source: fbst_1.9.tar.gz
Windows binaries: r-devel: fbst_1.9.zip, r-release: fbst_1.9.zip, r-oldrel: fbst_1.9.zip
macOS binaries: r-release (arm64): fbst_1.9.tgz, r-oldrel (arm64): fbst_1.9.tgz, r-release (x86_64): fbst_1.9.tgz, r-oldrel (x86_64): fbst_1.9.tgz
Old sources: fbst archive

Linking:

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