The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

bayesAB: Fast Bayesian Methods for AB Testing

A suite of functions that allow the user to analyze A/B test data in a Bayesian framework. Intended to be a drop-in replacement for common frequentist hypothesis test such as the t-test and chi-sq test.

Version: 1.1.3
Imports: Rcpp (≥ 0.12.4), ggplot2 (≥ 3.2.0), methods, rlang (≥ 0.4.0)
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, magrittr, plumber (≥ 0.3.0)
Published: 2021-06-25
DOI: 10.32614/CRAN.package.bayesAB
Author: Frank Portman [aut, cre]
Maintainer: Frank Portman <frank1214 at gmail.com>
BugReports: https://github.com/FrankPortman/bayesAB/issues
License: MIT + file LICENSE
URL: https://github.com/FrankPortman/bayesAB
NeedsCompilation: yes
Materials: README NEWS
In views: Bayesian
CRAN checks: bayesAB results

Documentation:

Reference manual: bayesAB.pdf
Vignettes: Introduction to bayesAB

Downloads:

Package source: bayesAB_1.1.3.tar.gz
Windows binaries: r-devel: bayesAB_1.1.3.zip, r-release: bayesAB_1.1.3.zip, r-oldrel: bayesAB_1.1.3.zip
macOS binaries: r-release (arm64): bayesAB_1.1.3.tgz, r-oldrel (arm64): bayesAB_1.1.3.tgz, r-release (x86_64): bayesAB_1.1.3.tgz, r-oldrel (x86_64): bayesAB_1.1.3.tgz
Old sources: bayesAB archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bayesAB to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.