validate_priors

Validates list of priors against a vector of valid priors and if
 the values are not valid, default priors are returned.

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_priors function

<dl><dt>priors</dt>
<dd>List of named priors with double values.</dd>
<dt>valid_priors</dt>
<dd>A character vector of valid prior names.</dd>
<dt>default_priors</dt>
<dd>A list of default priors for the distribution.</dd></dl>

Arguments

Validate Priors — validate_priors

<dl>

<dt>priors</dt>
<dd>List of named priors with double values.</dd>


<dt>valid_priors</dt>
<dd>A character vector of valid prior names.</dd>


<dt>default_priors</dt>
<dd>A list of default priors for the distribution.</dd>

</dl>

validate_priors: Validate Priors

Description

Usage

Value

Arguments