grizbayr
Bayesian Inference for A|B and Bandit Marketing Tests
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.5 |
rolling source/ R- | grizbayr_1.3.5.tar.gz |
51.1 KiB |
1.3.5 |
rolling linux/jammy R-4.5 | grizbayr_1.3.5.tar.gz |
128.1 KiB |
1.3.5 |
rolling linux/noble R-4.5 | grizbayr_1.3.5.tar.gz |
127.8 KiB |
1.3.5 |
latest source/ R- | grizbayr_1.3.5.tar.gz |
51.1 KiB |
1.3.5 |
latest linux/jammy R-4.5 | grizbayr_1.3.5.tar.gz |
128.1 KiB |
1.3.5 |
latest linux/noble R-4.5 | grizbayr_1.3.5.tar.gz |
127.8 KiB |
1.3.5 |
2026-04-23 source/ R- | grizbayr_1.3.5.tar.gz |
51.1 KiB |
1.3.5 |
2026-04-09 windows/windows R-4.5 | grizbayr_1.3.5.zip |
132.7 KiB |
1.3.5 |
2025-04-20 source/ R- | grizbayr_1.3.5.tar.gz |
51.1 KiB |