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" <http://cdn2.hubspot.net/hubfs/310840/VWO_SmartStats_technical_whitepaper.pdf>.
| Version: | 1.2.3 |
| Depends: | R (≥ 2.10) |
| Imports: | purrr, dplyr, tidyr (≥ 1.0.0), magrittr, tibble, rlang |
| Suggests: | spelling, knitr, testthat (≥ 2.1.0), rmarkdown |
| Published: | 2020-07-07 |
| Author: | Ryan Angi |
| Maintainer: | Ryan Angi <rangi at redventures.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | grizbayr results |
| Reference manual: | grizbayr.pdf |
| Vignettes: |
start |
| Package source: | grizbayr_1.2.3.tar.gz |
| Windows binaries: | r-devel: grizbayr_1.2.3.zip, r-release: grizbayr_1.2.3.zip, r-oldrel: grizbayr_1.2.3.zip |
| macOS binaries: | r-release: grizbayr_1.2.3.tgz, r-oldrel: grizbayr_1.2.3.tgz |
| Old sources: | grizbayr archive |
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