Bayesian Inference for A|B and Bandit Marketing Tests

Uses simple Bayesian conjugate prior update rules to calculate the win probability of each option, value remaining in the test, and percent lift over the baseline for various marketing objectives. References: Fink, Daniel (1997) "A Compendium of Conjugate Priors" <>. Stucchio, Chris (2015) "Bayesian A/B Testing at VWO" <>.


Reference manual

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1.3.1 by Ryan Angi, a year ago

Browse source code at

Authors: Ryan Angi

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports purrr, dplyr, tidyr, magrittr, tibble, rlang

Suggests spelling, knitr, testthat, rmarkdown

See at CRAN