Bayesian Inference for A|B and Bandit Marketing Tests R package grizbayr version 1.3.5 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://vwo.com/downloads/VWO_SmartStats_technical_whitepaper.pdf>. Software Depends: R (>= 2.10) Imports: purrr, dplyr, tidyr (>= 1.0.0), magrittr, tibble, rlang Suggests: spelling, knitr, testthat (>= 2.1.0), rmarkdown Ryan Angi <angi.ryan@gmail.com> Comprehensive R Archive Network (CRAN) Ryan Angi MIT + file LICENSE (https://CRAN.R-project.org/package=grizbayr/LICENSE) 2023-10-09 application/tgz https://CRAN.R-project.org/package=grizbayr doi:10.32614/CRAN.package.grizbayr en-US