impute_missing_options

When win probability is calculated

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

impute_missing_options function

<dl><dt>posterior_samples</dt>
<dd>Tibble of data in long form with 2 columns
`option_name` and `samples`</dd>
<dt>wp_raw</dt>
<dd>Tibble of win probabilities with the columns:
`option_name` and `win_prob_raw`</dd></dl>

Arguments

Impute Missing Options — impute_missing_options

<dl>

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


<dt>wp_raw</dt>
<dd>Tibble of win probabilities with the columns:
`option_name` and `win_prob_raw`</dd>

</dl>

impute_missing_options: Impute Missing Options

Description

Usage

Value

Arguments