grizbayr-package: grizbayr: Bayesian Inference for A|B and Bandit Marketing...
In grizbayr: Bayesian Inference for A|B and Bandit Marketing Tests
grizbayr-package R Documentation
grizbayr: Bayesian Inference for A|B and Bandit Marketing Tests
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.
See Also
Useful links:
grizbayr documentation built on Oct. 9, 2023, 5:10 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| grizbayr-package | R Documentation |
grizbayr: Bayesian Inference for A|B and Bandit Marketing Tests
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.
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.