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Dev tools · July 21, 2017

R Package for Bayesian AB Testing

🐢 bayesAB: Fast Bayesian Methods for A/B Testing. Contribute to FrankPortman/bayesAB development by creating an account on GitHub.

R Package for Bayesian AB Testing launched on July 21, 2017 with 38 votes, #739 of 2,972 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 9 years on.

Visit github.com ↗Alternativestop 25% of July 2017

In plain words

This is an R package that enables Bayesian statistical analysis for A/B testing. It's designed for data scientists and statisticians who need to compare two versions of something using Bayesian methods rather than traditional frequentist approaches. The package provides tools to calculate posterior distributions and make decisions about which variant performs better based on observed data, making it suitable for conversion optimization, user experience testing, and similar comparative experiments.

written from the facts on this page · September 2026

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