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

Provides access to a range of functions for computing and visualising the Full Bayesian Significance Test (FBST) and the e-value for testing a sharp 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: 1.3
Imports: bayestestR, methods
Suggests: BayesFactor
Published: 2020-09-11
Author: Riko Kelter
Maintainer: Riko Kelter <riko.kelter at uni-siegen.de>
License: GPL-3
NeedsCompilation: no
CRAN checks: fbst results


Reference manual: fbst.pdf
Package source: fbst_1.3.tar.gz
Windows binaries: r-devel: fbst_1.3.zip, r-release: fbst_1.3.zip, r-oldrel: fbst_1.3.zip
macOS binaries: r-release: fbst_1.3.tgz, r-oldrel: fbst_1.3.tgz
Old sources: fbst archive


Please use the canonical form https://CRAN.R-project.org/package=fbst to link to this page.