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
Config/pak/sysreqs: libicu-dev
Repository: https://r-angi.r-universe.dev
Date/Publication: 2023-10-09 16:41:05 UTC
RemoteUrl: https://github.com/r-angi/grizbayr
RemoteRef: HEAD
RemoteSha: 8102c9f759419932fa4b7de1ad2b5b967a75d45f
NeedsCompilation: no
Packaged: 2026-07-12 07:02:34 UTC; root