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.
|Depends:||cubature, ks, viridis, rstanarm|
|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
Precise Bayesian hypothesis testing with the Full Bayesian Significance Test in multidimensional posteriors
|Windows binaries:||r-devel: fbst_2.1.zip, r-release: fbst_2.1.zip, r-oldrel: fbst_2.1.zip|
|macOS binaries:||r-release (arm64): fbst_2.1.tgz, r-oldrel (arm64): fbst_2.1.tgz, r-release (x86_64): fbst_2.1.tgz, r-oldrel (x86_64): fbst_2.1.tgz|
|Old sources:||fbst archive|
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