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: | 1.0 |
| Imports: | bayestestR, methods, coda, Matrix |
| Suggests: | BayesFactor |
| Published: | 2020-06-04 |
| 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_1.0.tar.gz |
| Windows binaries: | r-devel: fbst_1.0.zip, r-release: fbst_1.0.zip, r-oldrel: fbst_1.0.zip |
| macOS binaries: | r-release: fbst_1.0.tgz, r-oldrel: fbst_1.0.tgz |
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