grizbayr
1.3.5Bayesian Inference for A|B and Bandit Marketing Tests
Overview
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.
Install
Health
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- NOTE2026-03-100 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 94%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
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Checks run against github.com/rangi513/grizbayr on 2026-07-31.
Dependencies
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Code & Tests
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8 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.3.5Latest
- RR 4.3.0 released · 2023-04-21
- 1.3.32022-12-23 · diff ↗
- 1.3.22022-08-15 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.3.12020-11-12 · diff ↗
- 1.3.02020-08-12 · diff ↗
- 1.2.32020-07-07 · diff ↗
- 1.2.22020-06-04 · diff ↗
- 1.2.12020-05-11
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-05-11
- Total releases
- 8 / 6 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Download size
- 52 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet