Package: grizbayr
Type: Package
Title: Bayesian Inference for A|B and Bandit Marketing Tests
Version: 1.3.5
Author: Ryan Angi
Maintainer: Ryan Angi <angi.ryan@gmail.com>
Description: 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>.
Depends: R (>= 2.10)
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: purrr, dplyr, tidyr (>= 1.0.0), magrittr, tibble, rlang
Suggests: spelling, knitr, testthat (>= 2.1.0), rmarkdown
Language: en-US
VignetteBuilder: knitr
URL: https://github.com/rangi513/grizbayr
BugReports: https://github.com/rangi513/grizbayr/issues
NeedsCompilation: no
Packaged: 2023-10-09 16:41:06 UTC; rangi
Repository: CRAN
Date/Publication: 2023-10-09 17:00:02 UTC
Built: R 4.6.0; ; 2026-04-29 19:14:34 UTC; unix
