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" <>. Stucchio, Chris (2015) "Bayesian A/B Testing at VWO" <>.

Package details

AuthorRyan Angi
MaintainerRyan Angi <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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grizbayr documentation built on Aug. 16, 2022, 1:06 a.m.