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fbst  

The Full Bayesian Evidence Test, Full Bayesian Significance Test and the e-Value
View on CRAN: Click here


Download and install fbst package within the R console
Install from CRAN:
install.packages("fbst")

Install from Github:
library("remotes")
install_github("cran/fbst")

Install by package version:
library("remotes")
install_version("fbst", "2.2")



Attach the package and use:
library("fbst")
Maintained by
Riko Kelter
[Scholar Profile | Author Map]
First Published: 2020-06-04
Latest Update: 2022-11-10
Description:
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.
How to cite:
Riko Kelter (2020). fbst: The Full Bayesian Evidence Test, Full Bayesian Significance Test and the e-Value. R package version 2.2, https://cran.r-project.org/web/packages/fbst. Accessed 09 May. 2025.
Previous versions and publish date:
1.0 (2020-06-04 16:20), 1.2 (2020-09-04 14:22), 1.3 (2020-09-11 13:30), 1.4 (2021-03-09 17:30), 1.5 (2021-04-12 16:40), 1.6 (2022-01-06 14:40), 1.7 (2022-03-08 17:00), 1.9 (2022-09-23 12:30), 2.1 (2022-11-10 11:10)
Other packages that cited fbst R package
View fbst citation profile
Other R packages that fbst depends, imports, suggests or enhances
Complete documentation for fbst
Functions, R codes and Examples using the fbst R package
Some associated functions: access . access_fbet . bdm . fbet-class . fbet . fbst-class . fbst-package . fbst . names.fbet . names.fbst . plot.fbet . plot.fbst . show.fbet . show.fbst . summary.fbet . summary.fbst . 
Some associated R codes: fbst.R .  Full fbst package functions and examples
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