Shiny demo of A/B test planning and evaluation (improved UI for A/B testing method taught in free video course)
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Failed to load latest commit information.
.gitignore publish Nov 1, 2017
AB_Dashboard.R publish Nov 1, 2017
CampaignPlanner_v3.Rproj publish Nov 1, 2017
EvaluateCampaignModule.R publish Nov 1, 2017
LICENSE Initial commit Nov 1, 2017
PlanCampaignModule.R publish Nov 1, 2017 fix link Nov 7, 2017
functions.R publish Nov 1, 2017
img.jpeg fix link Nov 7, 2017
server.R publish Nov 1, 2017
ui.R publish Nov 1, 2017


Shiny demo of A/B test planning and evaluation

Improved user interface for A/B testing theory taught in this free video course Bayesian A/B campaign testing (and design).

Also available as a public running app.

Win-Vector LLC's free video lecture on Bayesian A/B testing

Source code: App hosted online at:

Newer (better) online app: Newer (better) source code:

The course emphasizes how to design A/B tests using prior "guestimates" of effect sizes (often you have these from prior campaigns, or somebody claims an effect size and it is merely your job to confirm it) using Bayesian tools.

The solution is coded in R and Nina Zumel has contributed an updated Shiny user interface demonstrating the technique.

This sort of fills out our survey of ways to think about A/B testing:

See here for another survey of our on the topic: