validate_posterior_samples

Function fails if posterior is not shaped correctly.

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>.

Ryan Angi

grizbayr

Bayesian Inference for A|B and Bandit Marketing Tests

validate_posterior_samples function

<dl><dt>posterior_samples</dt>
<dd>Tibble of data in long form with 2 columns
`option_name` and `samples`</dd></dl>

Arguments

Validate Posterior Samples Dataframe — validate_posterior_samples

<dl>

<dt>posterior_samples</dt>
<dd>Tibble of data in long form with 2 columns
`option_name` and `samples`</dd>

</dl>

validate_posterior_samples: Validate Posterior Samples Dataframe

Description

Usage

Value

Arguments