The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
| Version: | 1.3.5 |
| Depends: | R (≥ 2.10) |
| Imports: | purrr, dplyr, tidyr (≥ 1.0.0), magrittr, tibble, rlang |
| Suggests: | spelling, knitr, testthat (≥ 2.1.0), rmarkdown |
| Published: | 2023-10-09 |
| Author: | Ryan Angi |
| Maintainer: | Ryan Angi <angi.ryan at gmail.com> |
| BugReports: | https://github.com/rangi513/grizbayr/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/rangi513/grizbayr |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | grizbayr results |
| Reference manual: | grizbayr.pdf |
| Vignettes: |
start |
| Package source: | grizbayr_1.3.5.tar.gz |
| Windows binaries: | r-devel: grizbayr_1.3.5.zip, r-release: grizbayr_1.3.5.zip, r-oldrel: grizbayr_1.3.5.zip |
| macOS binaries: | r-release (arm64): grizbayr_1.3.5.tgz, r-oldrel (arm64): grizbayr_1.3.5.tgz, r-release (x86_64): grizbayr_1.3.5.tgz, r-oldrel (x86_64): grizbayr_1.3.5.tgz |
| Old sources: | grizbayr archive |
Please use the canonical form https://CRAN.R-project.org/package=grizbayr to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.