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. For details on the computation and theory of the FBST see <arXiv:2005.13181>.

Version: 1.5
Imports: bayestestR, methods
Suggests: BayesFactor, knitr, rmarkdown
Published: 2021-04-12
Author: Riko Kelter
Maintainer: Riko Kelter <riko.kelter at uni-siegen.de>
License: GPL-3
NeedsCompilation: no
CRAN checks: fbst results

Downloads:

Reference manual: fbst.pdf
Vignettes: Bayesian hypothesis testing with the Full Bayesian Evidence Test
Precise Bayesian hypothesis testing with the Full Bayesian Significance Test
Package source: fbst_1.5.tar.gz
Windows binaries: r-devel: fbst_1.4.zip, r-release: fbst_1.5.zip, r-oldrel: fbst_1.5.zip
macOS binaries: r-release: fbst_1.5.tgz, r-oldrel: fbst_1.5.tgz
Old sources: fbst archive

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