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 .


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Reference manual

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install.packages("fbst")

1.5 by Riko Kelter, 11 days ago


Browse source code at https://github.com/cran/fbst


Authors: Riko Kelter


Documentation:   PDF Manual  


GPL-3 license


Imports bayestestR, methods

Suggests BayesFactor, knitr, rmarkdown


See at CRAN