grizbayr: 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" <https://cdn2.hubspot.net/hubfs/310840/VWO_SmartStats_technical_whitepaper.pdf>.

Package details

AuthorRyan Angi
MaintainerRyan Angi <rangi@redventures.com>
LicenseMIT + file LICENSE
Version1.3.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("grizbayr")

Try the grizbayr package in your browser

Any scripts or data that you put into this service are public.

grizbayr documentation built on Aug. 16, 2022, 1:06 a.m.