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" < https://www.johndcook.com/CompendiumOfConjugatePriors.pdf>. Stucchio, Chris (2015) "Bayesian A/B Testing at VWO" < http://cdn2.hubspot.net/hubfs/310840/VWO_SmartStats_technical_whitepaper.pdf>.


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install.packages("grizbayr")

1.3.0 by Ryan Angi, 3 months ago


Browse source code at https://github.com/cran/grizbayr


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