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>.
|Suggests:||BayesFactor, knitr, rmarkdown|
|Maintainer:||Riko Kelter <riko.kelter at uni-siegen.de>|
|CRAN checks:||fbst results|
Bayesian hypothesis testing with the Full Bayesian Evidence Test
Precise Bayesian hypothesis testing with the Full Bayesian Significance Test
|Windows binaries:||r-devel: fbst_1.7.zip, r-release: fbst_1.7.zip, r-oldrel: fbst_1.7.zip|
|macOS binaries:||r-release (arm64): fbst_1.7.tgz, r-oldrel (arm64): fbst_1.7.tgz, r-release (x86_64): fbst_1.7.tgz, r-oldrel (x86_64): fbst_1.7.tgz|
|Old sources:||fbst archive|
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