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FrankPortman / bayesAB

🐢 bayesAB: Fast Bayesian Methods for A/B Testing
http://frankportman.github.io/bayesAB/
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Elegant way of handling *both* raw data (A_data, B_data) and summarized data (A_counts, A_exposure, etc...) #4

Open FrankPortman opened 8 years ago

FrankPortman commented 8 years ago

Next release I want to have both the current setup (input A_data, B_data directly) and summarized data (A_sum, A_length, B_sum, B_length). This should not complicate the architecture if done correctly.

benaddict commented 4 years ago

@FrankPortman looking for a way to use summary data instead of raw data for metrics that we know are following a normal distribution. The above seems to not work in the current version?

FrankPortman commented 4 years ago

You're right that this didn't actually make it in to the current version. I would be open to reviewing PRs that support this otherwise it's pretty far in my backlog unfortunately. I can give you some pointers on where I'd start if you are interested in adding it.